{
    "modelTopology": {
        "node": [
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": []
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "ConstantFolding/Postprocessor/Decode/div_recip",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1917"
                                    },
                                    {
                                        "size": "4"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "Postprocessor/ExpandDims",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": []
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "ConstantFolding/Postprocessor/Decode/div_4_recip",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "dtype": {
                        "type": 3
                    },
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 3,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "2"
                                    }
                                ]
                            }
                        }
                    }
                },
                "name": "Postprocessor/Reshape_1/shape",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": []
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "ConstantFolding/Postprocessor/Decode/div_2_recip",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "576"
                                    },
                                    {
                                        "size": "1"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_0/BoxEncodingPredictor_depthwise/depthwise_weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "576"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_0/BoxEncodingPredictor_depthwise/BatchNorm/gamma",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "576"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_0/BoxEncodingPredictor_depthwise/BatchNorm/beta",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "576"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_0/BoxEncodingPredictor_depthwise/BatchNorm/moving_mean",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "576"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_0/BoxEncodingPredictor_depthwise/BatchNorm/moving_variance",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "576"
                                    },
                                    {
                                        "size": "12"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_0/BoxEncodingPredictor/weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "12"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_0/BoxEncodingPredictor/biases",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "1280"
                                    },
                                    {
                                        "size": "1"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_1/BoxEncodingPredictor_depthwise/depthwise_weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1280"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_1/BoxEncodingPredictor_depthwise/BatchNorm/gamma",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1280"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_1/BoxEncodingPredictor_depthwise/BatchNorm/beta",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1280"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_1/BoxEncodingPredictor_depthwise/BatchNorm/moving_mean",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1280"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_1/BoxEncodingPredictor_depthwise/BatchNorm/moving_variance",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1280"
                                    },
                                    {
                                        "size": "24"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_1/BoxEncodingPredictor/weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "24"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_1/BoxEncodingPredictor/biases",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "512"
                                    },
                                    {
                                        "size": "1"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_2/BoxEncodingPredictor_depthwise/depthwise_weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "dtype": {
                        "type": 1
                    },
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "512"
                                    }
                                ]
                            }
                        }
                    }
                },
                "name": "BoxPredictor_2/BoxEncodingPredictor_depthwise/BatchNorm/gamma",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "512"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_2/BoxEncodingPredictor_depthwise/BatchNorm/beta",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "dtype": {
                        "type": 1
                    },
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "512"
                                    }
                                ]
                            }
                        }
                    }
                },
                "name": "BoxPredictor_2/BoxEncodingPredictor_depthwise/BatchNorm/moving_mean",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "512"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_2/BoxEncodingPredictor_depthwise/BatchNorm/moving_variance",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "512"
                                    },
                                    {
                                        "size": "24"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_2/BoxEncodingPredictor/weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "24"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_2/BoxEncodingPredictor/biases",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "dtype": {
                        "type": 1
                    },
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "256"
                                    },
                                    {
                                        "size": "1"
                                    }
                                ]
                            }
                        }
                    }
                },
                "name": "BoxPredictor_3/BoxEncodingPredictor_depthwise/depthwise_weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "256"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_3/BoxEncodingPredictor_depthwise/BatchNorm/gamma",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "256"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_3/BoxEncodingPredictor_depthwise/BatchNorm/beta",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "dtype": {
                        "type": 1
                    },
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "256"
                                    }
                                ]
                            }
                        }
                    }
                },
                "name": "BoxPredictor_3/BoxEncodingPredictor_depthwise/BatchNorm/moving_mean",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "256"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_3/BoxEncodingPredictor_depthwise/BatchNorm/moving_variance",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "256"
                                    },
                                    {
                                        "size": "24"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_3/BoxEncodingPredictor/weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "24"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_3/BoxEncodingPredictor/biases",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "256"
                                    },
                                    {
                                        "size": "1"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_4/BoxEncodingPredictor_depthwise/depthwise_weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "256"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_4/BoxEncodingPredictor_depthwise/BatchNorm/gamma",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "256"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_4/BoxEncodingPredictor_depthwise/BatchNorm/beta",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "256"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_4/BoxEncodingPredictor_depthwise/BatchNorm/moving_mean",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "256"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_4/BoxEncodingPredictor_depthwise/BatchNorm/moving_variance",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "256"
                                    },
                                    {
                                        "size": "24"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_4/BoxEncodingPredictor/weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "24"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_4/BoxEncodingPredictor/biases",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "128"
                                    },
                                    {
                                        "size": "1"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_5/BoxEncodingPredictor_depthwise/depthwise_weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "128"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_5/BoxEncodingPredictor_depthwise/BatchNorm/gamma",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "128"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_5/BoxEncodingPredictor_depthwise/BatchNorm/beta",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "128"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_5/BoxEncodingPredictor_depthwise/BatchNorm/moving_mean",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "dtype": {
                        "type": 1
                    },
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "128"
                                    }
                                ]
                            }
                        }
                    }
                },
                "name": "BoxPredictor_5/BoxEncodingPredictor_depthwise/BatchNorm/moving_variance",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "128"
                                    },
                                    {
                                        "size": "24"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_5/BoxEncodingPredictor/weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "24"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_5/BoxEncodingPredictor/biases",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [
                                1917
                            ],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 3,
                            "tensorShape": {
                                "dim": []
                            }
                        }
                    },
                    "dtype": {
                        "type": 3
                    }
                },
                "name": "MultipleGridAnchorGenerator/assert_equal/x",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [
                                4
                            ],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 3,
                            "tensorShape": {
                                "dim": []
                            }
                        }
                    },
                    "dtype": {
                        "type": 3
                    }
                },
                "name": "BoxPredictor_0/stack/3",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [
                                2
                            ],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 3,
                            "tensorShape": {
                                "dim": []
                            }
                        }
                    },
                    "dtype": {
                        "type": 3
                    }
                },
                "name": "Postprocessor/ExpandDims_1/dim",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "576"
                                    },
                                    {
                                        "size": "1"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_0/ClassPredictor_depthwise/depthwise_weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "dtype": {
                        "type": 1
                    },
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "576"
                                    }
                                ]
                            }
                        }
                    }
                },
                "name": "BoxPredictor_0/ClassPredictor_depthwise/BatchNorm/gamma",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "576"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_0/ClassPredictor_depthwise/BatchNorm/beta",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "dtype": {
                        "type": 1
                    },
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "576"
                                    }
                                ]
                            }
                        }
                    }
                },
                "name": "BoxPredictor_0/ClassPredictor_depthwise/BatchNorm/moving_mean",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "576"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_0/ClassPredictor_depthwise/BatchNorm/moving_variance",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "576"
                                    },
                                    {
                                        "size": "273"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_0/ClassPredictor/weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "dtype": {
                        "type": 1
                    },
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "273"
                                    }
                                ]
                            }
                        }
                    }
                },
                "name": "BoxPredictor_0/ClassPredictor/biases",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [
                                1083
                            ],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 3,
                            "tensorShape": {
                                "dim": []
                            }
                        }
                    },
                    "dtype": {
                        "type": 3
                    }
                },
                "name": "BoxPredictor_0/stack/1",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "1280"
                                    },
                                    {
                                        "size": "1"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_1/ClassPredictor_depthwise/depthwise_weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1280"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_1/ClassPredictor_depthwise/BatchNorm/gamma",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1280"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_1/ClassPredictor_depthwise/BatchNorm/beta",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1280"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_1/ClassPredictor_depthwise/BatchNorm/moving_mean",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1280"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_1/ClassPredictor_depthwise/BatchNorm/moving_variance",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1280"
                                    },
                                    {
                                        "size": "546"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_1/ClassPredictor/weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "546"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_1/ClassPredictor/biases",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [
                                600
                            ],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 3,
                            "tensorShape": {
                                "dim": []
                            }
                        }
                    },
                    "dtype": {
                        "type": 3
                    }
                },
                "name": "BoxPredictor_1/stack/1",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "dtype": {
                        "type": 1
                    },
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "512"
                                    },
                                    {
                                        "size": "1"
                                    }
                                ]
                            }
                        }
                    }
                },
                "name": "BoxPredictor_2/ClassPredictor_depthwise/depthwise_weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "512"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_2/ClassPredictor_depthwise/BatchNorm/gamma",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "512"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_2/ClassPredictor_depthwise/BatchNorm/beta",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "512"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_2/ClassPredictor_depthwise/BatchNorm/moving_mean",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "512"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_2/ClassPredictor_depthwise/BatchNorm/moving_variance",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "512"
                                    },
                                    {
                                        "size": "546"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_2/ClassPredictor/weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "546"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_2/ClassPredictor/biases",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [
                                150
                            ],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 3,
                            "tensorShape": {
                                "dim": []
                            }
                        }
                    },
                    "dtype": {
                        "type": 3
                    }
                },
                "name": "BoxPredictor_2/stack/1",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "256"
                                    },
                                    {
                                        "size": "1"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_3/ClassPredictor_depthwise/depthwise_weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "256"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_3/ClassPredictor_depthwise/BatchNorm/gamma",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "256"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_3/ClassPredictor_depthwise/BatchNorm/beta",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "256"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_3/ClassPredictor_depthwise/BatchNorm/moving_mean",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "256"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_3/ClassPredictor_depthwise/BatchNorm/moving_variance",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "256"
                                    },
                                    {
                                        "size": "546"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_3/ClassPredictor/weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "546"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_3/ClassPredictor/biases",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [
                                54
                            ],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 3,
                            "tensorShape": {
                                "dim": []
                            }
                        }
                    },
                    "dtype": {
                        "type": 3
                    }
                },
                "name": "BoxPredictor_3/stack/1",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "256"
                                    },
                                    {
                                        "size": "1"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_4/ClassPredictor_depthwise/depthwise_weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "dtype": {
                        "type": 1
                    },
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "256"
                                    }
                                ]
                            }
                        }
                    }
                },
                "name": "BoxPredictor_4/ClassPredictor_depthwise/BatchNorm/gamma",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "256"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_4/ClassPredictor_depthwise/BatchNorm/beta",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "256"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_4/ClassPredictor_depthwise/BatchNorm/moving_mean",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "256"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_4/ClassPredictor_depthwise/BatchNorm/moving_variance",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "256"
                                    },
                                    {
                                        "size": "546"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_4/ClassPredictor/weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "546"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_4/ClassPredictor/biases",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [
                                24
                            ],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 3,
                            "tensorShape": {
                                "dim": []
                            }
                        }
                    },
                    "dtype": {
                        "type": 3
                    }
                },
                "name": "BoxPredictor_4/stack/1",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "128"
                                    },
                                    {
                                        "size": "1"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_5/ClassPredictor_depthwise/depthwise_weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "128"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_5/ClassPredictor_depthwise/BatchNorm/gamma",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "128"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_5/ClassPredictor_depthwise/BatchNorm/beta",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "128"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_5/ClassPredictor_depthwise/BatchNorm/moving_mean",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "128"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_5/ClassPredictor_depthwise/BatchNorm/moving_variance",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "dtype": {
                        "type": 1
                    },
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "128"
                                    },
                                    {
                                        "size": "546"
                                    }
                                ]
                            }
                        }
                    }
                },
                "name": "BoxPredictor_5/ClassPredictor/weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "546"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_5/ClassPredictor/biases",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "160"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_15/project/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "160"
                                    },
                                    {
                                        "size": "960"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "960"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "960"
                                    },
                                    {
                                        "size": "1"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/depthwise_weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "960"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/BatchNorm/batchnorm/mul",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "960"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "960"
                                    },
                                    {
                                        "size": "160"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_15/project/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "160"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_14/project/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "160"
                                    },
                                    {
                                        "size": "960"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "960"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "960"
                                    },
                                    {
                                        "size": "1"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/depthwise_weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "960"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/BatchNorm/batchnorm/mul",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "960"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "960"
                                    },
                                    {
                                        "size": "160"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_14/project/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "96"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_12/project/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "96"
                                    },
                                    {
                                        "size": "576"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "576"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "576"
                                    },
                                    {
                                        "size": "1"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/depthwise_weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "576"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/BatchNorm/batchnorm/mul",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "576"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "576"
                                    },
                                    {
                                        "size": "96"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_12/project/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "dtype": {
                        "type": 1
                    },
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "96"
                                    }
                                ]
                            }
                        }
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_11/project/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "96"
                                    },
                                    {
                                        "size": "576"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "dtype": {
                        "type": 1
                    },
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "576"
                                    }
                                ]
                            }
                        }
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "576"
                                    },
                                    {
                                        "size": "1"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/depthwise_weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "576"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/BatchNorm/batchnorm/mul",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "576"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "576"
                                    },
                                    {
                                        "size": "96"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_11/project/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "dtype": {
                        "type": 1
                    },
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "64"
                                    }
                                ]
                            }
                        }
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_9/project/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "64"
                                    },
                                    {
                                        "size": "384"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "384"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "dtype": {
                        "type": 1
                    },
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "384"
                                    },
                                    {
                                        "size": "1"
                                    }
                                ]
                            }
                        }
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/depthwise_weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "384"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/BatchNorm/batchnorm/mul",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "384"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "dtype": {
                        "type": 1
                    },
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "384"
                                    },
                                    {
                                        "size": "64"
                                    }
                                ]
                            }
                        }
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_9/project/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "64"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_8/project/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "64"
                                    },
                                    {
                                        "size": "384"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "384"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "384"
                                    },
                                    {
                                        "size": "1"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/depthwise_weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "384"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/BatchNorm/batchnorm/mul",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "384"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "384"
                                    },
                                    {
                                        "size": "64"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_8/project/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "64"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_7/project/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "64"
                                    },
                                    {
                                        "size": "384"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "384"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "384"
                                    },
                                    {
                                        "size": "1"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/depthwise_weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "384"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/BatchNorm/batchnorm/mul",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "384"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "384"
                                    },
                                    {
                                        "size": "64"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_7/project/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "32"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_5/project/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "32"
                                    },
                                    {
                                        "size": "192"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "192"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "dtype": {
                        "type": 1
                    },
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "192"
                                    },
                                    {
                                        "size": "1"
                                    }
                                ]
                            }
                        }
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/depthwise_weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "192"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/BatchNorm/batchnorm/mul",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "192"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "192"
                                    },
                                    {
                                        "size": "32"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_5/project/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "32"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_4/project/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "32"
                                    },
                                    {
                                        "size": "192"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "192"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "192"
                                    },
                                    {
                                        "size": "1"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise_weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "192"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/BatchNorm/batchnorm/mul",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "192"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "192"
                                    },
                                    {
                                        "size": "32"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_4/project/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "24"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_2/project/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "24"
                                    },
                                    {
                                        "size": "144"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "144"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "144"
                                    },
                                    {
                                        "size": "1"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/depthwise_weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "144"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/BatchNorm/batchnorm/mul",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "144"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "144"
                                    },
                                    {
                                        "size": "24"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_2/project/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "dtype": {
                        "type": 1
                    },
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": []
                            }
                        }
                    }
                },
                "name": "Preprocessor/mul/x",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [
                                0
                            ],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 3,
                            "tensorShape": {
                                "dim": []
                            }
                        }
                    },
                    "dtype": {
                        "type": 3
                    }
                },
                "name": "Preprocessor/map/TensorArrayStack/range/start",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": []
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "Preprocessor/sub/y",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "dtype": {
                        "type": 1
                    },
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "32"
                                    }
                                ]
                            }
                        }
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/Conv/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "32"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/Conv/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "dtype": {
                        "type": 1
                    },
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "32"
                                    },
                                    {
                                        "size": "1"
                                    }
                                ]
                            }
                        }
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/depthwise_weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "32"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/BatchNorm/batchnorm/mul",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "32"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "32"
                                    },
                                    {
                                        "size": "16"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv/project/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "16"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv/project/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "16"
                                    },
                                    {
                                        "size": "96"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "96"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "96"
                                    },
                                    {
                                        "size": "1"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/depthwise_weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "96"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/BatchNorm/batchnorm/mul",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "96"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "96"
                                    },
                                    {
                                        "size": "24"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_1/project/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "24"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_1/project/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "24"
                                    },
                                    {
                                        "size": "144"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "144"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "144"
                                    },
                                    {
                                        "size": "1"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/depthwise_weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "144"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/BatchNorm/batchnorm/mul",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "144"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "144"
                                    },
                                    {
                                        "size": "32"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_3/project/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "dtype": {
                        "type": 1
                    },
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "32"
                                    }
                                ]
                            }
                        }
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_3/project/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "32"
                                    },
                                    {
                                        "size": "192"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "192"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "dtype": {
                        "type": 1
                    },
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "192"
                                    },
                                    {
                                        "size": "1"
                                    }
                                ]
                            }
                        }
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/depthwise_weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "192"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/BatchNorm/batchnorm/mul",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "192"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "192"
                                    },
                                    {
                                        "size": "64"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_6/project/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "64"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_6/project/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "64"
                                    },
                                    {
                                        "size": "384"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "384"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "384"
                                    },
                                    {
                                        "size": "1"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/depthwise_weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "384"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/BatchNorm/batchnorm/mul",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "384"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "384"
                                    },
                                    {
                                        "size": "96"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_10/project/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "96"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_10/project/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "96"
                                    },
                                    {
                                        "size": "576"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "576"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "576"
                                    },
                                    {
                                        "size": "1"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/depthwise_weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "576"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/BatchNorm/batchnorm/mul",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "576"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "576"
                                    },
                                    {
                                        "size": "160"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_13/project/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "160"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_13/project/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "160"
                                    },
                                    {
                                        "size": "960"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "960"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "960"
                                    },
                                    {
                                        "size": "1"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/depthwise_weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "960"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/BatchNorm/batchnorm/mul",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "960"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "960"
                                    },
                                    {
                                        "size": "320"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_16/project/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "320"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_16/project/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "320"
                                    },
                                    {
                                        "size": "1280"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/Conv_1/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1280"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/Conv_1/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1280"
                                    },
                                    {
                                        "size": "256"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "256"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "dtype": {
                        "type": 1
                    },
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "256"
                                    },
                                    {
                                        "size": "1"
                                    }
                                ]
                            }
                        }
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/depthwise_weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "256"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/BatchNorm/batchnorm/mul",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "256"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "256"
                                    },
                                    {
                                        "size": "512"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "512"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "512"
                                    },
                                    {
                                        "size": "128"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "128"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "128"
                                    },
                                    {
                                        "size": "1"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/depthwise_weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "128"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/BatchNorm/batchnorm/mul",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "128"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "128"
                                    },
                                    {
                                        "size": "256"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "256"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "256"
                                    },
                                    {
                                        "size": "128"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "128"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "128"
                                    },
                                    {
                                        "size": "1"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/depthwise_weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "128"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/BatchNorm/batchnorm/mul",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "128"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "128"
                                    },
                                    {
                                        "size": "256"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "256"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "dtype": {
                        "type": 1
                    },
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "256"
                                    },
                                    {
                                        "size": "64"
                                    }
                                ]
                            }
                        }
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "dtype": {
                        "type": 1
                    },
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "64"
                                    }
                                ]
                            }
                        }
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "dtype": {
                        "type": 1
                    },
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "3"
                                    },
                                    {
                                        "size": "64"
                                    },
                                    {
                                        "size": "1"
                                    }
                                ]
                            }
                        }
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/depthwise_weights",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "dtype": {
                        "type": 1
                    },
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "64"
                                    }
                                ]
                            }
                        }
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/BatchNorm/batchnorm/mul",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "64"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "1"
                                    },
                                    {
                                        "size": "64"
                                    },
                                    {
                                        "size": "128"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/Conv2D/merged_input",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 1,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "128"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/BatchNorm/batchnorm/sub",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [
                                0
                            ],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 3,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 3
                    }
                },
                "name": "Postprocessor/strided_slice/stack",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [
                                1
                            ],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 3,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "1"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 3
                    }
                },
                "name": "Postprocessor/strided_slice/stack_1",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [
                                6
                            ],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 3,
                            "tensorShape": {
                                "dim": []
                            }
                        }
                    },
                    "dtype": {
                        "type": 3
                    }
                },
                "name": "BoxPredictor_5/stack/1",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [
                                91
                            ],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 3,
                            "tensorShape": {
                                "dim": []
                            }
                        }
                    },
                    "dtype": {
                        "type": 3
                    }
                },
                "name": "BoxPredictor_0/stack_1/2",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "dtype": {
                        "type": 3
                    },
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [
                                1
                            ],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 3,
                            "tensorShape": {
                                "dim": []
                            }
                        }
                    }
                },
                "name": "Postprocessor/Tile/multiples/1",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 3,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "3"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 3
                    }
                },
                "name": "Postprocessor/Slice/begin",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 3,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "3"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 3
                    }
                },
                "name": "Postprocessor/Slice/size",
                "op": "Const"
            },
            {
                "input": [],
                "attr": {
                    "dtype": {
                        "type": 4
                    },
                    "shape": {
                        "shape": {
                            "dim": [
                                {
                                    "size": "-1"
                                },
                                {
                                    "size": "-1"
                                },
                                {
                                    "size": "-1"
                                },
                                {
                                    "size": "3"
                                }
                            ]
                        }
                    }
                },
                "name": "image_tensor",
                "op": "Placeholder"
            },
            {
                "input": [
                    "Preprocessor/map/TensorArrayStack/range/start"
                ],
                "attr": {
                    "T": {
                        "type": 3
                    },
                    "is_constant": {
                        "b": false
                    },
                    "parallel_iterations": {
                        "i": "32"
                    },
                    "frame_name": {
                        "s": [
                            80,
                            114,
                            101,
                            112,
                            114,
                            111,
                            99,
                            101,
                            115,
                            115,
                            111,
                            114,
                            47,
                            109,
                            97,
                            112,
                            47,
                            119,
                            104,
                            105,
                            108,
                            101,
                            47,
                            119,
                            104,
                            105,
                            108,
                            101,
                            95,
                            99,
                            111,
                            110,
                            116,
                            101,
                            120,
                            116
                        ]
                    }
                },
                "name": "Preprocessor/map/while/Enter",
                "op": "Enter"
            },
            {
                "input": [
                    "image_tensor"
                ],
                "attr": {
                    "SrcT": {
                        "type": 4
                    },
                    "DstT": {
                        "type": 1
                    }
                },
                "name": "ToFloat",
                "op": "Cast"
            },
            {
                "input": [
                    "Preprocessor/map/while/Enter",
                    "Preprocessor/map/while/NextIteration"
                ],
                "attr": {
                    "T": {
                        "type": 3
                    },
                    "N": {
                        "i": "2"
                    }
                },
                "name": "Preprocessor/map/while/Merge",
                "op": "Merge"
            },
            {
                "input": [
                    "ToFloat"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "out_type": {
                        "type": 3
                    }
                },
                "name": "Preprocessor/map/TensorArrayUnstack/Shape",
                "op": "Shape"
            },
            {
                "input": [
                    "Preprocessor/map/TensorArrayUnstack/Shape",
                    "Postprocessor/strided_slice/stack",
                    "Postprocessor/strided_slice/stack_1",
                    "Postprocessor/strided_slice/stack_1"
                ],
                "attr": {
                    "T": {
                        "type": 3
                    },
                    "Index": {
                        "type": 3
                    },
                    "shrink_axis_mask": {
                        "i": "1"
                    },
                    "begin_mask": {
                        "i": "0"
                    },
                    "ellipsis_mask": {
                        "i": "0"
                    },
                    "new_axis_mask": {
                        "i": "0"
                    },
                    "end_mask": {
                        "i": "0"
                    }
                },
                "name": "Preprocessor/map/TensorArrayUnstack/strided_slice",
                "op": "StridedSlice"
            },
            {
                "input": [
                    "Preprocessor/map/TensorArrayUnstack/strided_slice"
                ],
                "attr": {
                    "dtype": {
                        "type": 1
                    },
                    "element_shape": {
                        "shape": {
                            "dim": [],
                            "unknownRank": true
                        }
                    },
                    "dynamic_size": {
                        "b": false
                    },
                    "clear_after_read": {
                        "b": true
                    },
                    "identical_element_shapes": {
                        "b": false
                    },
                    "tensor_array_name": {
                        "s": []
                    }
                },
                "name": "Preprocessor/map/TensorArray_1",
                "op": "TensorArrayV3"
            },
            {
                "input": [
                    "Preprocessor/map/TensorArrayStack/range/start",
                    "Preprocessor/map/TensorArrayUnstack/strided_slice",
                    "Postprocessor/Tile/multiples/1"
                ],
                "attr": {
                    "Tidx": {
                        "type": 3
                    }
                },
                "name": "Preprocessor/map/TensorArrayUnstack/range",
                "op": "Range"
            },
            {
                "input": [
                    "Preprocessor/map/TensorArrayUnstack/strided_slice"
                ],
                "attr": {
                    "tensor_array_name": {
                        "s": []
                    },
                    "dtype": {
                        "type": 1
                    },
                    "element_shape": {
                        "shape": {
                            "dim": [],
                            "unknownRank": true
                        }
                    },
                    "dynamic_size": {
                        "b": false
                    },
                    "clear_after_read": {
                        "b": true
                    },
                    "identical_element_shapes": {
                        "b": false
                    }
                },
                "name": "Preprocessor/map/TensorArray",
                "op": "TensorArrayV3"
            },
            {
                "input": [
                    "Preprocessor/map/TensorArrayUnstack/strided_slice"
                ],
                "attr": {
                    "T": {
                        "type": 3
                    },
                    "is_constant": {
                        "b": true
                    },
                    "parallel_iterations": {
                        "i": "32"
                    },
                    "frame_name": {
                        "s": [
                            80,
                            114,
                            101,
                            112,
                            114,
                            111,
                            99,
                            101,
                            115,
                            115,
                            111,
                            114,
                            47,
                            109,
                            97,
                            112,
                            47,
                            119,
                            104,
                            105,
                            108,
                            101,
                            47,
                            119,
                            104,
                            105,
                            108,
                            101,
                            95,
                            99,
                            111,
                            110,
                            116,
                            101,
                            120,
                            116
                        ]
                    }
                },
                "name": "Preprocessor/map/while/Less/Enter",
                "op": "Enter"
            },
            {
                "input": [
                    "Preprocessor/map/TensorArray_1:1"
                ],
                "attr": {
                    "is_constant": {
                        "b": false
                    },
                    "parallel_iterations": {
                        "i": "32"
                    },
                    "frame_name": {
                        "s": [
                            80,
                            114,
                            101,
                            112,
                            114,
                            111,
                            99,
                            101,
                            115,
                            115,
                            111,
                            114,
                            47,
                            109,
                            97,
                            112,
                            47,
                            119,
                            104,
                            105,
                            108,
                            101,
                            47,
                            119,
                            104,
                            105,
                            108,
                            101,
                            95,
                            99,
                            111,
                            110,
                            116,
                            101,
                            120,
                            116
                        ]
                    },
                    "T": {
                        "type": 1
                    }
                },
                "name": "Preprocessor/map/while/Enter_1",
                "op": "Enter"
            },
            {
                "input": [
                    "Preprocessor/map/TensorArray_1"
                ],
                "attr": {
                    "frame_name": {
                        "s": [
                            80,
                            114,
                            101,
                            112,
                            114,
                            111,
                            99,
                            101,
                            115,
                            115,
                            111,
                            114,
                            47,
                            109,
                            97,
                            112,
                            47,
                            119,
                            104,
                            105,
                            108,
                            101,
                            47,
                            119,
                            104,
                            105,
                            108,
                            101,
                            95,
                            99,
                            111,
                            110,
                            116,
                            101,
                            120,
                            116
                        ]
                    },
                    "T": {
                        "type": 20
                    },
                    "is_constant": {
                        "b": true
                    },
                    "parallel_iterations": {
                        "i": "32"
                    }
                },
                "name": "Preprocessor/map/while/TensorArrayWrite/TensorArrayWriteV3/Enter",
                "op": "Enter"
            },
            {
                "input": [
                    "Preprocessor/map/TensorArray"
                ],
                "attr": {
                    "T": {
                        "type": 20
                    },
                    "is_constant": {
                        "b": true
                    },
                    "parallel_iterations": {
                        "i": "32"
                    },
                    "frame_name": {
                        "s": [
                            80,
                            114,
                            101,
                            112,
                            114,
                            111,
                            99,
                            101,
                            115,
                            115,
                            111,
                            114,
                            47,
                            109,
                            97,
                            112,
                            47,
                            119,
                            104,
                            105,
                            108,
                            101,
                            47,
                            119,
                            104,
                            105,
                            108,
                            101,
                            95,
                            99,
                            111,
                            110,
                            116,
                            101,
                            120,
                            116
                        ]
                    }
                },
                "name": "Preprocessor/map/while/TensorArrayReadV3/Enter",
                "op": "Enter"
            },
            {
                "input": [
                    "Preprocessor/map/TensorArray",
                    "Preprocessor/map/TensorArrayUnstack/range",
                    "ToFloat",
                    "Preprocessor/map/TensorArray:1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "Preprocessor/map/TensorArrayUnstack/TensorArrayScatter/TensorArrayScatterV3",
                "op": "TensorArrayScatterV3"
            },
            {
                "input": [
                    "Preprocessor/map/while/Merge",
                    "Preprocessor/map/while/Less/Enter"
                ],
                "attr": {
                    "T": {
                        "type": 3
                    }
                },
                "name": "Preprocessor/map/while/Less",
                "op": "Less"
            },
            {
                "input": [
                    "Preprocessor/map/while/Enter_1",
                    "Preprocessor/map/while/NextIteration_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "N": {
                        "i": "2"
                    }
                },
                "name": "Preprocessor/map/while/Merge_1",
                "op": "Merge"
            },
            {
                "input": [
                    "Preprocessor/map/TensorArrayUnstack/TensorArrayScatter/TensorArrayScatterV3"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "is_constant": {
                        "b": true
                    },
                    "parallel_iterations": {
                        "i": "32"
                    },
                    "frame_name": {
                        "s": [
                            80,
                            114,
                            101,
                            112,
                            114,
                            111,
                            99,
                            101,
                            115,
                            115,
                            111,
                            114,
                            47,
                            109,
                            97,
                            112,
                            47,
                            119,
                            104,
                            105,
                            108,
                            101,
                            47,
                            119,
                            104,
                            105,
                            108,
                            101,
                            95,
                            99,
                            111,
                            110,
                            116,
                            101,
                            120,
                            116
                        ]
                    }
                },
                "name": "Preprocessor/map/while/TensorArrayReadV3/Enter_1",
                "op": "Enter"
            },
            {
                "input": [
                    "Preprocessor/map/while/Less"
                ],
                "attr": {},
                "name": "Preprocessor/map/while/LoopCond",
                "op": "LoopCond"
            },
            {
                "input": [
                    "Preprocessor/map/while/Merge",
                    "Preprocessor/map/while/LoopCond"
                ],
                "attr": {
                    "T": {
                        "type": 3
                    }
                },
                "name": "Preprocessor/map/while/Switch",
                "op": "Switch"
            },
            {
                "input": [
                    "Preprocessor/map/while/Merge_1",
                    "Preprocessor/map/while/LoopCond"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "Preprocessor/map/while/Switch_1",
                "op": "Switch"
            },
            {
                "input": [
                    "Preprocessor/map/while/Switch:1"
                ],
                "attr": {
                    "T": {
                        "type": 3
                    }
                },
                "name": "Preprocessor/map/while/Identity",
                "op": "Identity"
            },
            {
                "input": [
                    "Preprocessor/map/while/Switch_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "Preprocessor/map/while/Exit_1",
                "op": "Exit"
            },
            {
                "input": [
                    "Preprocessor/map/while/TensorArrayReadV3/Enter",
                    "Preprocessor/map/while/Identity",
                    "Preprocessor/map/while/TensorArrayReadV3/Enter_1"
                ],
                "attr": {
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "Preprocessor/map/while/TensorArrayReadV3",
                "op": "TensorArrayReadV3"
            },
            {
                "input": [
                    "^Preprocessor/map/while/Identity"
                ],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [
                                0
                            ],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 3,
                            "tensorShape": {
                                "dim": []
                            }
                        }
                    },
                    "dtype": {
                        "type": 3
                    }
                },
                "name": "Preprocessor/map/while/ResizeImage/ExpandDims/dim",
                "op": "Const"
            },
            {
                "input": [
                    "^Preprocessor/map/while/Identity"
                ],
                "attr": {
                    "dtype": {
                        "type": 3
                    },
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 3,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "2"
                                    }
                                ]
                            }
                        }
                    }
                },
                "name": "Preprocessor/map/while/ResizeImage/stack",
                "op": "Const"
            },
            {
                "input": [
                    "^Preprocessor/map/while/Identity"
                ],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [
                                1
                            ],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 3,
                            "tensorShape": {
                                "dim": []
                            }
                        }
                    },
                    "dtype": {
                        "type": 3
                    }
                },
                "name": "Preprocessor/map/while/add/y",
                "op": "Const"
            },
            {
                "input": [
                    "Preprocessor/map/TensorArray_1",
                    "Preprocessor/map/while/Exit_1"
                ],
                "attr": {},
                "name": "Preprocessor/map/TensorArrayStack/TensorArraySizeV3",
                "op": "TensorArraySizeV3"
            },
            {
                "input": [
                    "Preprocessor/map/while/TensorArrayReadV3",
                    "Preprocessor/map/while/ResizeImage/ExpandDims/dim"
                ],
                "attr": {
                    "Tdim": {
                        "type": 3
                    },
                    "T": {
                        "type": 1
                    }
                },
                "name": "Preprocessor/map/while/ResizeImage/ExpandDims",
                "op": "ExpandDims"
            },
            {
                "input": [
                    "Preprocessor/map/while/Identity",
                    "Preprocessor/map/while/add/y"
                ],
                "attr": {
                    "T": {
                        "type": 3
                    }
                },
                "name": "Preprocessor/map/while/add",
                "op": "Add"
            },
            {
                "input": [
                    "Preprocessor/map/TensorArrayStack/range/start",
                    "Preprocessor/map/TensorArrayStack/TensorArraySizeV3",
                    "Postprocessor/Tile/multiples/1"
                ],
                "attr": {
                    "Tidx": {
                        "type": 3
                    }
                },
                "name": "Preprocessor/map/TensorArrayStack/range",
                "op": "Range"
            },
            {
                "input": [
                    "Preprocessor/map/while/ResizeImage/ExpandDims",
                    "Preprocessor/map/while/ResizeImage/stack"
                ],
                "attr": {
                    "align_corners": {
                        "b": false
                    },
                    "T": {
                        "type": 1
                    }
                },
                "name": "Preprocessor/map/while/ResizeImage/ResizeBilinear",
                "op": "ResizeBilinear"
            },
            {
                "input": [
                    "Preprocessor/map/while/add"
                ],
                "attr": {
                    "T": {
                        "type": 3
                    }
                },
                "name": "Preprocessor/map/while/NextIteration",
                "op": "NextIteration"
            },
            {
                "input": [
                    "Preprocessor/map/TensorArray_1",
                    "Preprocessor/map/TensorArrayStack/range",
                    "Preprocessor/map/while/Exit_1"
                ],
                "attr": {
                    "element_shape": {
                        "shape": {
                            "dim": [
                                {
                                    "size": "300"
                                },
                                {
                                    "size": "300"
                                },
                                {
                                    "size": "3"
                                }
                            ]
                        }
                    },
                    "dtype": {
                        "type": 1
                    }
                },
                "name": "Preprocessor/map/TensorArrayStack/TensorArrayGatherV3",
                "op": "TensorArrayGatherV3"
            },
            {
                "input": [
                    "Preprocessor/map/while/ResizeImage/ResizeBilinear"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "squeeze_dims": {
                        "list": {
                            "s": [],
                            "i": [
                                "0"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    }
                },
                "name": "Preprocessor/map/while/ResizeImage/Squeeze",
                "op": "Squeeze"
            },
            {
                "input": [
                    "Preprocessor/mul/x",
                    "Preprocessor/map/TensorArrayStack/TensorArrayGatherV3"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "Preprocessor/mul",
                "op": "Mul"
            },
            {
                "input": [
                    "Preprocessor/map/while/TensorArrayWrite/TensorArrayWriteV3/Enter",
                    "Preprocessor/map/while/Identity",
                    "Preprocessor/map/while/ResizeImage/Squeeze",
                    "Preprocessor/map/while/Switch_1:1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "Preprocessor/map/while/TensorArrayWrite/TensorArrayWriteV3",
                "op": "TensorArrayWriteV3"
            },
            {
                "input": [
                    "Preprocessor/mul",
                    "Preprocessor/sub/y"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "Preprocessor/sub",
                "op": "Sub"
            },
            {
                "input": [
                    "Preprocessor/map/while/TensorArrayWrite/TensorArrayWriteV3"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "Preprocessor/map/while/NextIteration_1",
                "op": "NextIteration"
            },
            {
                "input": [
                    "Preprocessor/sub",
                    "FeatureExtractor/MobilenetV2/Conv/Conv2D/merged_input"
                ],
                "attr": {
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "2",
                                "2",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/Conv/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/Conv/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/Conv/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/Conv/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/Conv/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/Conv/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/Conv/Relu6",
                    "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/depthwise_weights"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/depthwise",
                "op": "DepthwiseConv2dNative"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/depthwise",
                    "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/BatchNorm/batchnorm/mul"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/BatchNorm/batchnorm/mul_1",
                "op": "Mul"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/Relu6",
                    "FeatureExtractor/MobilenetV2/expanded_conv/project/Conv2D/merged_input"
                ],
                "attr": {
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv/project/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv/project/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv/project/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv/project/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv/project/BatchNorm/batchnorm/add_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/Conv2D/merged_input"
                ],
                "attr": {
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/Relu6",
                    "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/depthwise_weights"
                ],
                "attr": {
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "2",
                                "2",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/depthwise",
                "op": "DepthwiseConv2dNative"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/depthwise",
                    "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/BatchNorm/batchnorm/mul"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/BatchNorm/batchnorm/mul_1",
                "op": "Mul"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/Relu6",
                    "FeatureExtractor/MobilenetV2/expanded_conv_1/project/Conv2D/merged_input"
                ],
                "attr": {
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_1/project/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_1/project/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_1/project/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_1/project/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_1/project/BatchNorm/batchnorm/add_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/Conv2D/merged_input"
                ],
                "attr": {
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/Relu6",
                    "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/depthwise_weights"
                ],
                "attr": {
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/depthwise",
                "op": "DepthwiseConv2dNative"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/depthwise",
                    "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/BatchNorm/batchnorm/mul"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/BatchNorm/batchnorm/mul_1",
                "op": "Mul"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/Relu6",
                    "FeatureExtractor/MobilenetV2/expanded_conv_2/project/Conv2D/merged_input"
                ],
                "attr": {
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_2/project/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_2/project/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_1/project/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "_grappler:ArithmeticOptimizer:AddOpsRewriteStage": {
                        "b": true
                    },
                    "N": {
                        "i": "2"
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_2/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add",
                "op": "AddN"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_2/project/BatchNorm/batchnorm/sub",
                    "FeatureExtractor/MobilenetV2/expanded_conv_2/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add"
                ],
                "attr": {
                    "_grappler:ArithmeticOptimizer:AddOpsRewriteStage": {
                        "b": true
                    },
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_2/ArithmeticOptimizer/AddOpsRewrite_add",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_2/ArithmeticOptimizer/AddOpsRewrite_add",
                    "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/Conv2D/merged_input"
                ],
                "attr": {
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/Relu6",
                    "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/depthwise_weights"
                ],
                "attr": {
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "2",
                                "2",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/depthwise",
                "op": "DepthwiseConv2dNative"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/depthwise",
                    "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/BatchNorm/batchnorm/mul"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/BatchNorm/batchnorm/mul_1",
                "op": "Mul"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/Relu6",
                    "FeatureExtractor/MobilenetV2/expanded_conv_3/project/Conv2D/merged_input"
                ],
                "attr": {
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_3/project/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_3/project/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_3/project/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_3/project/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_3/project/BatchNorm/batchnorm/add_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Conv2D/merged_input"
                ],
                "attr": {
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Relu6",
                    "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise_weights"
                ],
                "attr": {
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "T": {
                        "type": 1
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise",
                "op": "DepthwiseConv2dNative"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise",
                    "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/BatchNorm/batchnorm/mul"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/BatchNorm/batchnorm/mul_1",
                "op": "Mul"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6",
                    "FeatureExtractor/MobilenetV2/expanded_conv_4/project/Conv2D/merged_input"
                ],
                "attr": {
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_4/project/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_4/project/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_3/project/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "_grappler:ArithmeticOptimizer:AddOpsRewriteStage": {
                        "b": true
                    },
                    "N": {
                        "i": "2"
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_4/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add",
                "op": "AddN"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_4/project/BatchNorm/batchnorm/sub",
                    "FeatureExtractor/MobilenetV2/expanded_conv_4/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "_grappler:ArithmeticOptimizer:AddOpsRewriteStage": {
                        "b": true
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_4/ArithmeticOptimizer/AddOpsRewrite_add",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_4/ArithmeticOptimizer/AddOpsRewrite_add",
                    "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/Conv2D/merged_input"
                ],
                "attr": {
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/Relu6",
                    "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/depthwise_weights"
                ],
                "attr": {
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/depthwise",
                "op": "DepthwiseConv2dNative"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/depthwise",
                    "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/BatchNorm/batchnorm/mul"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/BatchNorm/batchnorm/mul_1",
                "op": "Mul"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/Relu6",
                    "FeatureExtractor/MobilenetV2/expanded_conv_5/project/Conv2D/merged_input"
                ],
                "attr": {
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_5/project/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_5/project/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_4/ArithmeticOptimizer/AddOpsRewrite_add"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "_grappler:ArithmeticOptimizer:AddOpsRewriteStage": {
                        "b": true
                    },
                    "N": {
                        "i": "2"
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_5/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add",
                "op": "AddN"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_5/project/BatchNorm/batchnorm/sub",
                    "FeatureExtractor/MobilenetV2/expanded_conv_5/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "_grappler:ArithmeticOptimizer:AddOpsRewriteStage": {
                        "b": true
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_5/ArithmeticOptimizer/AddOpsRewrite_add",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_5/ArithmeticOptimizer/AddOpsRewrite_add",
                    "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/Conv2D/merged_input"
                ],
                "attr": {
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/Relu6",
                    "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/depthwise_weights"
                ],
                "attr": {
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "T": {
                        "type": 1
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "2",
                                "2",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/depthwise",
                "op": "DepthwiseConv2dNative"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/depthwise",
                    "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/BatchNorm/batchnorm/mul"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/BatchNorm/batchnorm/mul_1",
                "op": "Mul"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/Relu6",
                    "FeatureExtractor/MobilenetV2/expanded_conv_6/project/Conv2D/merged_input"
                ],
                "attr": {
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_6/project/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_6/project/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_6/project/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_6/project/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_6/project/BatchNorm/batchnorm/add_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/Conv2D/merged_input"
                ],
                "attr": {
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/Relu6",
                    "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/depthwise_weights"
                ],
                "attr": {
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/depthwise",
                "op": "DepthwiseConv2dNative"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/depthwise",
                    "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/BatchNorm/batchnorm/mul"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/BatchNorm/batchnorm/mul_1",
                "op": "Mul"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/Relu6",
                    "FeatureExtractor/MobilenetV2/expanded_conv_7/project/Conv2D/merged_input"
                ],
                "attr": {
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_7/project/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_7/project/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_6/project/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "_grappler:ArithmeticOptimizer:AddOpsRewriteStage": {
                        "b": true
                    },
                    "N": {
                        "i": "2"
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_7/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add",
                "op": "AddN"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_7/project/BatchNorm/batchnorm/sub",
                    "FeatureExtractor/MobilenetV2/expanded_conv_7/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "_grappler:ArithmeticOptimizer:AddOpsRewriteStage": {
                        "b": true
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_7/ArithmeticOptimizer/AddOpsRewrite_add",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_7/ArithmeticOptimizer/AddOpsRewrite_add",
                    "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/Conv2D/merged_input"
                ],
                "attr": {
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/Relu6",
                    "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/depthwise_weights"
                ],
                "attr": {
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/depthwise",
                "op": "DepthwiseConv2dNative"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/depthwise",
                    "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/BatchNorm/batchnorm/mul"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/BatchNorm/batchnorm/mul_1",
                "op": "Mul"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/Relu6",
                    "FeatureExtractor/MobilenetV2/expanded_conv_8/project/Conv2D/merged_input"
                ],
                "attr": {
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_8/project/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_8/project/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_7/ArithmeticOptimizer/AddOpsRewrite_add"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "_grappler:ArithmeticOptimizer:AddOpsRewriteStage": {
                        "b": true
                    },
                    "N": {
                        "i": "2"
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_8/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add",
                "op": "AddN"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_8/project/BatchNorm/batchnorm/sub",
                    "FeatureExtractor/MobilenetV2/expanded_conv_8/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "_grappler:ArithmeticOptimizer:AddOpsRewriteStage": {
                        "b": true
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_8/ArithmeticOptimizer/AddOpsRewrite_add",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_8/ArithmeticOptimizer/AddOpsRewrite_add",
                    "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/Conv2D/merged_input"
                ],
                "attr": {
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/Relu6",
                    "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/depthwise_weights"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/depthwise",
                "op": "DepthwiseConv2dNative"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/depthwise",
                    "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/BatchNorm/batchnorm/mul"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/BatchNorm/batchnorm/mul_1",
                "op": "Mul"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/Relu6",
                    "FeatureExtractor/MobilenetV2/expanded_conv_9/project/Conv2D/merged_input"
                ],
                "attr": {
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_9/project/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_9/project/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_8/ArithmeticOptimizer/AddOpsRewrite_add"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "_grappler:ArithmeticOptimizer:AddOpsRewriteStage": {
                        "b": true
                    },
                    "N": {
                        "i": "2"
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_9/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add",
                "op": "AddN"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_9/project/BatchNorm/batchnorm/sub",
                    "FeatureExtractor/MobilenetV2/expanded_conv_9/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "_grappler:ArithmeticOptimizer:AddOpsRewriteStage": {
                        "b": true
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_9/ArithmeticOptimizer/AddOpsRewrite_add",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_9/ArithmeticOptimizer/AddOpsRewrite_add",
                    "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/Conv2D/merged_input"
                ],
                "attr": {
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/Relu6",
                    "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/depthwise_weights"
                ],
                "attr": {
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/depthwise",
                "op": "DepthwiseConv2dNative"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/depthwise",
                    "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/BatchNorm/batchnorm/mul"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/BatchNorm/batchnorm/mul_1",
                "op": "Mul"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/Relu6",
                    "FeatureExtractor/MobilenetV2/expanded_conv_10/project/Conv2D/merged_input"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_10/project/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_10/project/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_10/project/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_10/project/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_10/project/BatchNorm/batchnorm/add_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/Conv2D/merged_input"
                ],
                "attr": {
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/Relu6",
                    "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/depthwise_weights"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/depthwise",
                "op": "DepthwiseConv2dNative"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/depthwise",
                    "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/BatchNorm/batchnorm/mul"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/BatchNorm/batchnorm/mul_1",
                "op": "Mul"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/Relu6",
                    "FeatureExtractor/MobilenetV2/expanded_conv_11/project/Conv2D/merged_input"
                ],
                "attr": {
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_11/project/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_11/project/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_10/project/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "_grappler:ArithmeticOptimizer:AddOpsRewriteStage": {
                        "b": true
                    },
                    "N": {
                        "i": "2"
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_11/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add",
                "op": "AddN"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_11/project/BatchNorm/batchnorm/sub",
                    "FeatureExtractor/MobilenetV2/expanded_conv_11/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "_grappler:ArithmeticOptimizer:AddOpsRewriteStage": {
                        "b": true
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_11/ArithmeticOptimizer/AddOpsRewrite_add",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_11/ArithmeticOptimizer/AddOpsRewrite_add",
                    "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/Conv2D/merged_input"
                ],
                "attr": {
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/Relu6",
                    "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/depthwise_weights"
                ],
                "attr": {
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/depthwise",
                "op": "DepthwiseConv2dNative"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/depthwise",
                    "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/BatchNorm/batchnorm/mul"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/BatchNorm/batchnorm/mul_1",
                "op": "Mul"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/Relu6",
                    "FeatureExtractor/MobilenetV2/expanded_conv_12/project/Conv2D/merged_input"
                ],
                "attr": {
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_12/project/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_12/project/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_11/ArithmeticOptimizer/AddOpsRewrite_add"
                ],
                "attr": {
                    "_grappler:ArithmeticOptimizer:AddOpsRewriteStage": {
                        "b": true
                    },
                    "N": {
                        "i": "2"
                    },
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_12/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add",
                "op": "AddN"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_12/project/BatchNorm/batchnorm/sub",
                    "FeatureExtractor/MobilenetV2/expanded_conv_12/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "_grappler:ArithmeticOptimizer:AddOpsRewriteStage": {
                        "b": true
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_12/ArithmeticOptimizer/AddOpsRewrite_add",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_12/ArithmeticOptimizer/AddOpsRewrite_add",
                    "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/Conv2D/merged_input"
                ],
                "attr": {
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/Relu6",
                    "BoxPredictor_0/BoxEncodingPredictor_depthwise/depthwise_weights"
                ],
                "attr": {
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    }
                },
                "name": "BoxPredictor_0/BoxEncodingPredictor_depthwise/depthwise",
                "op": "DepthwiseConv2dNative"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/Relu6",
                    "BoxPredictor_0/ClassPredictor_depthwise/depthwise_weights"
                ],
                "attr": {
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "T": {
                        "type": 1
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    }
                },
                "name": "BoxPredictor_0/ClassPredictor_depthwise/depthwise",
                "op": "DepthwiseConv2dNative"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/Relu6"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "out_type": {
                        "type": 3
                    }
                },
                "name": "BoxPredictor_0/Shape",
                "op": "Shape"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/Relu6",
                    "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/depthwise_weights"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "2",
                                "2",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/depthwise",
                "op": "DepthwiseConv2dNative"
            },
            {
                "input": [
                    "BoxPredictor_0/BoxEncodingPredictor_depthwise/depthwise",
                    "BoxPredictor_0/BoxEncodingPredictor_depthwise/BatchNorm/gamma",
                    "BoxPredictor_0/BoxEncodingPredictor_depthwise/BatchNorm/beta",
                    "BoxPredictor_0/BoxEncodingPredictor_depthwise/BatchNorm/moving_mean",
                    "BoxPredictor_0/BoxEncodingPredictor_depthwise/BatchNorm/moving_variance"
                ],
                "attr": {
                    "epsilon": {
                        "f": 0.0010000000474974513
                    },
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "is_training": {
                        "b": false
                    }
                },
                "name": "BoxPredictor_0/BoxEncodingPredictor_depthwise/BatchNorm/FusedBatchNorm",
                "op": "FusedBatchNorm"
            },
            {
                "input": [
                    "BoxPredictor_0/ClassPredictor_depthwise/depthwise",
                    "BoxPredictor_0/ClassPredictor_depthwise/BatchNorm/gamma",
                    "BoxPredictor_0/ClassPredictor_depthwise/BatchNorm/beta",
                    "BoxPredictor_0/ClassPredictor_depthwise/BatchNorm/moving_mean",
                    "BoxPredictor_0/ClassPredictor_depthwise/BatchNorm/moving_variance"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "is_training": {
                        "b": false
                    },
                    "epsilon": {
                        "f": 0.0010000000474974513
                    }
                },
                "name": "BoxPredictor_0/ClassPredictor_depthwise/BatchNorm/FusedBatchNorm",
                "op": "FusedBatchNorm"
            },
            {
                "input": [
                    "BoxPredictor_0/Shape",
                    "Postprocessor/strided_slice/stack",
                    "Postprocessor/strided_slice/stack_1",
                    "Postprocessor/strided_slice/stack_1"
                ],
                "attr": {
                    "T": {
                        "type": 3
                    },
                    "Index": {
                        "type": 3
                    },
                    "shrink_axis_mask": {
                        "i": "1"
                    },
                    "ellipsis_mask": {
                        "i": "0"
                    },
                    "begin_mask": {
                        "i": "0"
                    },
                    "new_axis_mask": {
                        "i": "0"
                    },
                    "end_mask": {
                        "i": "0"
                    }
                },
                "name": "BoxPredictor_0/strided_slice",
                "op": "StridedSlice"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/depthwise",
                    "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/BatchNorm/batchnorm/mul"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/BatchNorm/batchnorm/mul_1",
                "op": "Mul"
            },
            {
                "input": [
                    "BoxPredictor_0/BoxEncodingPredictor_depthwise/BatchNorm/FusedBatchNorm"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_0/BoxEncodingPredictor_depthwise/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "BoxPredictor_0/ClassPredictor_depthwise/BatchNorm/FusedBatchNorm"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_0/ClassPredictor_depthwise/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "BoxPredictor_0/strided_slice",
                    "BoxPredictor_0/stack/1",
                    "Postprocessor/Tile/multiples/1",
                    "BoxPredictor_0/stack/3"
                ],
                "attr": {
                    "T": {
                        "type": 3
                    },
                    "axis": {
                        "i": "0"
                    },
                    "N": {
                        "i": "4"
                    }
                },
                "name": "BoxPredictor_0/stack",
                "op": "Pack"
            },
            {
                "input": [
                    "BoxPredictor_0/strided_slice",
                    "BoxPredictor_0/stack/1",
                    "BoxPredictor_0/stack_1/2"
                ],
                "attr": {
                    "T": {
                        "type": 3
                    },
                    "axis": {
                        "i": "0"
                    },
                    "N": {
                        "i": "3"
                    }
                },
                "name": "BoxPredictor_0/stack_1",
                "op": "Pack"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "BoxPredictor_0/BoxEncodingPredictor_depthwise/Relu6",
                    "BoxPredictor_0/BoxEncodingPredictor/weights"
                ],
                "attr": {
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    }
                },
                "name": "BoxPredictor_0/BoxEncodingPredictor/Conv2D",
                "op": "Conv2D"
            },
            {
                "input": [
                    "BoxPredictor_0/ClassPredictor_depthwise/Relu6",
                    "BoxPredictor_0/ClassPredictor/weights"
                ],
                "attr": {
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    }
                },
                "name": "BoxPredictor_0/ClassPredictor/Conv2D",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "BoxPredictor_0/BoxEncodingPredictor/Conv2D",
                    "BoxPredictor_0/BoxEncodingPredictor/biases"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    }
                },
                "name": "BoxPredictor_0/BoxEncodingPredictor/BiasAdd",
                "op": "BiasAdd"
            },
            {
                "input": [
                    "BoxPredictor_0/ClassPredictor/Conv2D",
                    "BoxPredictor_0/ClassPredictor/biases"
                ],
                "attr": {
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "T": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_0/ClassPredictor/BiasAdd",
                "op": "BiasAdd"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/Relu6",
                    "FeatureExtractor/MobilenetV2/expanded_conv_13/project/Conv2D/merged_input"
                ],
                "attr": {
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_13/project/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "BoxPredictor_0/BoxEncodingPredictor/BiasAdd",
                    "BoxPredictor_0/stack"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "Tshape": {
                        "type": 3
                    }
                },
                "name": "BoxPredictor_0/Reshape",
                "op": "Reshape"
            },
            {
                "input": [
                    "BoxPredictor_0/ClassPredictor/BiasAdd",
                    "BoxPredictor_0/stack_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "Tshape": {
                        "type": 3
                    }
                },
                "name": "BoxPredictor_0/Reshape_1",
                "op": "Reshape"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_13/project/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_13/project/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_13/project/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_13/project/BatchNorm/batchnorm/add_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/Conv2D/merged_input"
                ],
                "attr": {
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/Relu6",
                    "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/depthwise_weights"
                ],
                "attr": {
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/depthwise",
                "op": "DepthwiseConv2dNative"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/depthwise",
                    "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/BatchNorm/batchnorm/mul"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/BatchNorm/batchnorm/mul_1",
                "op": "Mul"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/Relu6",
                    "FeatureExtractor/MobilenetV2/expanded_conv_14/project/Conv2D/merged_input"
                ],
                "attr": {
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_14/project/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_14/project/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_13/project/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "_grappler:ArithmeticOptimizer:AddOpsRewriteStage": {
                        "b": true
                    },
                    "N": {
                        "i": "2"
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_14/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add",
                "op": "AddN"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_14/project/BatchNorm/batchnorm/sub",
                    "FeatureExtractor/MobilenetV2/expanded_conv_14/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "_grappler:ArithmeticOptimizer:AddOpsRewriteStage": {
                        "b": true
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_14/ArithmeticOptimizer/AddOpsRewrite_add",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_14/ArithmeticOptimizer/AddOpsRewrite_add",
                    "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/Conv2D/merged_input"
                ],
                "attr": {
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/Relu6",
                    "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/depthwise_weights"
                ],
                "attr": {
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/depthwise",
                "op": "DepthwiseConv2dNative"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/depthwise",
                    "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/BatchNorm/batchnorm/mul"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/BatchNorm/batchnorm/mul_1",
                "op": "Mul"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/Relu6",
                    "FeatureExtractor/MobilenetV2/expanded_conv_15/project/Conv2D/merged_input"
                ],
                "attr": {
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_15/project/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_15/project/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_14/ArithmeticOptimizer/AddOpsRewrite_add"
                ],
                "attr": {
                    "_grappler:ArithmeticOptimizer:AddOpsRewriteStage": {
                        "b": true
                    },
                    "N": {
                        "i": "2"
                    },
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_15/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add",
                "op": "AddN"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_15/project/BatchNorm/batchnorm/sub",
                    "FeatureExtractor/MobilenetV2/expanded_conv_15/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "_grappler:ArithmeticOptimizer:AddOpsRewriteStage": {
                        "b": true
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_15/ArithmeticOptimizer/AddOpsRewrite_add",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_15/ArithmeticOptimizer/AddOpsRewrite_add",
                    "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/Conv2D/merged_input"
                ],
                "attr": {
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/Relu6",
                    "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/depthwise_weights"
                ],
                "attr": {
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/depthwise",
                "op": "DepthwiseConv2dNative"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/depthwise",
                    "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/BatchNorm/batchnorm/mul"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/BatchNorm/batchnorm/mul_1",
                "op": "Mul"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/Relu6",
                    "FeatureExtractor/MobilenetV2/expanded_conv_16/project/Conv2D/merged_input"
                ],
                "attr": {
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_16/project/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_16/project/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/expanded_conv_16/project/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/expanded_conv_16/project/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/expanded_conv_16/project/BatchNorm/batchnorm/add_1",
                    "FeatureExtractor/MobilenetV2/Conv_1/Conv2D/merged_input"
                ],
                "attr": {
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/Conv_1/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/Conv_1/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/Conv_1/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/Conv_1/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/Conv_1/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/Conv_1/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/Conv_1/Relu6",
                    "BoxPredictor_1/BoxEncodingPredictor_depthwise/depthwise_weights"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    }
                },
                "name": "BoxPredictor_1/BoxEncodingPredictor_depthwise/depthwise",
                "op": "DepthwiseConv2dNative"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/Conv_1/Relu6",
                    "BoxPredictor_1/ClassPredictor_depthwise/depthwise_weights"
                ],
                "attr": {
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "T": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_1/ClassPredictor_depthwise/depthwise",
                "op": "DepthwiseConv2dNative"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/Conv_1/Relu6"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "out_type": {
                        "type": 3
                    }
                },
                "name": "BoxPredictor_1/Shape",
                "op": "Shape"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/Conv_1/Relu6",
                    "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/Conv2D/merged_input"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "BoxPredictor_1/BoxEncodingPredictor_depthwise/depthwise",
                    "BoxPredictor_1/BoxEncodingPredictor_depthwise/BatchNorm/gamma",
                    "BoxPredictor_1/BoxEncodingPredictor_depthwise/BatchNorm/beta",
                    "BoxPredictor_1/BoxEncodingPredictor_depthwise/BatchNorm/moving_mean",
                    "BoxPredictor_1/BoxEncodingPredictor_depthwise/BatchNorm/moving_variance"
                ],
                "attr": {
                    "is_training": {
                        "b": false
                    },
                    "epsilon": {
                        "f": 0.0010000000474974513
                    },
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    }
                },
                "name": "BoxPredictor_1/BoxEncodingPredictor_depthwise/BatchNorm/FusedBatchNorm",
                "op": "FusedBatchNorm"
            },
            {
                "input": [
                    "BoxPredictor_1/ClassPredictor_depthwise/depthwise",
                    "BoxPredictor_1/ClassPredictor_depthwise/BatchNorm/gamma",
                    "BoxPredictor_1/ClassPredictor_depthwise/BatchNorm/beta",
                    "BoxPredictor_1/ClassPredictor_depthwise/BatchNorm/moving_mean",
                    "BoxPredictor_1/ClassPredictor_depthwise/BatchNorm/moving_variance"
                ],
                "attr": {
                    "is_training": {
                        "b": false
                    },
                    "epsilon": {
                        "f": 0.0010000000474974513
                    },
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    }
                },
                "name": "BoxPredictor_1/ClassPredictor_depthwise/BatchNorm/FusedBatchNorm",
                "op": "FusedBatchNorm"
            },
            {
                "input": [
                    "BoxPredictor_1/Shape",
                    "Postprocessor/strided_slice/stack",
                    "Postprocessor/strided_slice/stack_1",
                    "Postprocessor/strided_slice/stack_1"
                ],
                "attr": {
                    "begin_mask": {
                        "i": "0"
                    },
                    "ellipsis_mask": {
                        "i": "0"
                    },
                    "new_axis_mask": {
                        "i": "0"
                    },
                    "end_mask": {
                        "i": "0"
                    },
                    "T": {
                        "type": 3
                    },
                    "Index": {
                        "type": 3
                    },
                    "shrink_axis_mask": {
                        "i": "1"
                    }
                },
                "name": "BoxPredictor_1/strided_slice",
                "op": "StridedSlice"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "BoxPredictor_1/BoxEncodingPredictor_depthwise/BatchNorm/FusedBatchNorm"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_1/BoxEncodingPredictor_depthwise/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "BoxPredictor_1/ClassPredictor_depthwise/BatchNorm/FusedBatchNorm"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_1/ClassPredictor_depthwise/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "BoxPredictor_1/strided_slice",
                    "BoxPredictor_1/stack/1",
                    "Postprocessor/Tile/multiples/1",
                    "BoxPredictor_0/stack/3"
                ],
                "attr": {
                    "axis": {
                        "i": "0"
                    },
                    "N": {
                        "i": "4"
                    },
                    "T": {
                        "type": 3
                    }
                },
                "name": "BoxPredictor_1/stack",
                "op": "Pack"
            },
            {
                "input": [
                    "BoxPredictor_1/strided_slice",
                    "BoxPredictor_1/stack/1",
                    "BoxPredictor_0/stack_1/2"
                ],
                "attr": {
                    "T": {
                        "type": 3
                    },
                    "axis": {
                        "i": "0"
                    },
                    "N": {
                        "i": "3"
                    }
                },
                "name": "BoxPredictor_1/stack_1",
                "op": "Pack"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "BoxPredictor_1/BoxEncodingPredictor_depthwise/Relu6",
                    "BoxPredictor_1/BoxEncodingPredictor/weights"
                ],
                "attr": {
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_1/BoxEncodingPredictor/Conv2D",
                "op": "Conv2D"
            },
            {
                "input": [
                    "BoxPredictor_1/ClassPredictor_depthwise/Relu6",
                    "BoxPredictor_1/ClassPredictor/weights"
                ],
                "attr": {
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    }
                },
                "name": "BoxPredictor_1/ClassPredictor/Conv2D",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/Relu6",
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/depthwise_weights"
                ],
                "attr": {
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "2",
                                "2",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/depthwise",
                "op": "DepthwiseConv2dNative"
            },
            {
                "input": [
                    "BoxPredictor_1/BoxEncodingPredictor/Conv2D",
                    "BoxPredictor_1/BoxEncodingPredictor/biases"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    }
                },
                "name": "BoxPredictor_1/BoxEncodingPredictor/BiasAdd",
                "op": "BiasAdd"
            },
            {
                "input": [
                    "BoxPredictor_1/ClassPredictor/Conv2D",
                    "BoxPredictor_1/ClassPredictor/biases"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    }
                },
                "name": "BoxPredictor_1/ClassPredictor/BiasAdd",
                "op": "BiasAdd"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/depthwise",
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/BatchNorm/batchnorm/mul"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/BatchNorm/batchnorm/mul_1",
                "op": "Mul"
            },
            {
                "input": [
                    "BoxPredictor_1/BoxEncodingPredictor/BiasAdd",
                    "BoxPredictor_1/stack"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "Tshape": {
                        "type": 3
                    }
                },
                "name": "BoxPredictor_1/Reshape",
                "op": "Reshape"
            },
            {
                "input": [
                    "BoxPredictor_1/ClassPredictor/BiasAdd",
                    "BoxPredictor_1/stack_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "Tshape": {
                        "type": 3
                    }
                },
                "name": "BoxPredictor_1/Reshape_1",
                "op": "Reshape"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/Relu6",
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/Conv2D/merged_input"
                ],
                "attr": {
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/Relu6",
                    "BoxPredictor_2/BoxEncodingPredictor_depthwise/depthwise_weights"
                ],
                "attr": {
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    }
                },
                "name": "BoxPredictor_2/BoxEncodingPredictor_depthwise/depthwise",
                "op": "DepthwiseConv2dNative"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/Relu6",
                    "BoxPredictor_2/ClassPredictor_depthwise/depthwise_weights"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    }
                },
                "name": "BoxPredictor_2/ClassPredictor_depthwise/depthwise",
                "op": "DepthwiseConv2dNative"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/Relu6"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "out_type": {
                        "type": 3
                    }
                },
                "name": "BoxPredictor_2/Shape",
                "op": "Shape"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/Relu6",
                    "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/Conv2D/merged_input"
                ],
                "attr": {
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "BoxPredictor_2/BoxEncodingPredictor_depthwise/depthwise",
                    "BoxPredictor_2/BoxEncodingPredictor_depthwise/BatchNorm/gamma",
                    "BoxPredictor_2/BoxEncodingPredictor_depthwise/BatchNorm/beta",
                    "BoxPredictor_2/BoxEncodingPredictor_depthwise/BatchNorm/moving_mean",
                    "BoxPredictor_2/BoxEncodingPredictor_depthwise/BatchNorm/moving_variance"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "is_training": {
                        "b": false
                    },
                    "epsilon": {
                        "f": 0.0010000000474974513
                    }
                },
                "name": "BoxPredictor_2/BoxEncodingPredictor_depthwise/BatchNorm/FusedBatchNorm",
                "op": "FusedBatchNorm"
            },
            {
                "input": [
                    "BoxPredictor_2/ClassPredictor_depthwise/depthwise",
                    "BoxPredictor_2/ClassPredictor_depthwise/BatchNorm/gamma",
                    "BoxPredictor_2/ClassPredictor_depthwise/BatchNorm/beta",
                    "BoxPredictor_2/ClassPredictor_depthwise/BatchNorm/moving_mean",
                    "BoxPredictor_2/ClassPredictor_depthwise/BatchNorm/moving_variance"
                ],
                "attr": {
                    "epsilon": {
                        "f": 0.0010000000474974513
                    },
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "is_training": {
                        "b": false
                    }
                },
                "name": "BoxPredictor_2/ClassPredictor_depthwise/BatchNorm/FusedBatchNorm",
                "op": "FusedBatchNorm"
            },
            {
                "input": [
                    "BoxPredictor_2/Shape",
                    "Postprocessor/strided_slice/stack",
                    "Postprocessor/strided_slice/stack_1",
                    "Postprocessor/strided_slice/stack_1"
                ],
                "attr": {
                    "T": {
                        "type": 3
                    },
                    "Index": {
                        "type": 3
                    },
                    "shrink_axis_mask": {
                        "i": "1"
                    },
                    "begin_mask": {
                        "i": "0"
                    },
                    "ellipsis_mask": {
                        "i": "0"
                    },
                    "new_axis_mask": {
                        "i": "0"
                    },
                    "end_mask": {
                        "i": "0"
                    }
                },
                "name": "BoxPredictor_2/strided_slice",
                "op": "StridedSlice"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "BoxPredictor_2/BoxEncodingPredictor_depthwise/BatchNorm/FusedBatchNorm"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_2/BoxEncodingPredictor_depthwise/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "BoxPredictor_2/ClassPredictor_depthwise/BatchNorm/FusedBatchNorm"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_2/ClassPredictor_depthwise/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "BoxPredictor_2/strided_slice",
                    "BoxPredictor_2/stack/1",
                    "Postprocessor/Tile/multiples/1",
                    "BoxPredictor_0/stack/3"
                ],
                "attr": {
                    "T": {
                        "type": 3
                    },
                    "axis": {
                        "i": "0"
                    },
                    "N": {
                        "i": "4"
                    }
                },
                "name": "BoxPredictor_2/stack",
                "op": "Pack"
            },
            {
                "input": [
                    "BoxPredictor_2/strided_slice",
                    "BoxPredictor_2/stack/1",
                    "BoxPredictor_0/stack_1/2"
                ],
                "attr": {
                    "T": {
                        "type": 3
                    },
                    "axis": {
                        "i": "0"
                    },
                    "N": {
                        "i": "3"
                    }
                },
                "name": "BoxPredictor_2/stack_1",
                "op": "Pack"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "BoxPredictor_2/BoxEncodingPredictor_depthwise/Relu6",
                    "BoxPredictor_2/BoxEncodingPredictor/weights"
                ],
                "attr": {
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    }
                },
                "name": "BoxPredictor_2/BoxEncodingPredictor/Conv2D",
                "op": "Conv2D"
            },
            {
                "input": [
                    "BoxPredictor_2/ClassPredictor_depthwise/Relu6",
                    "BoxPredictor_2/ClassPredictor/weights"
                ],
                "attr": {
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    }
                },
                "name": "BoxPredictor_2/ClassPredictor/Conv2D",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/Relu6",
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/depthwise_weights"
                ],
                "attr": {
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "2",
                                "2",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/depthwise",
                "op": "DepthwiseConv2dNative"
            },
            {
                "input": [
                    "BoxPredictor_2/BoxEncodingPredictor/Conv2D",
                    "BoxPredictor_2/BoxEncodingPredictor/biases"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    }
                },
                "name": "BoxPredictor_2/BoxEncodingPredictor/BiasAdd",
                "op": "BiasAdd"
            },
            {
                "input": [
                    "BoxPredictor_2/ClassPredictor/Conv2D",
                    "BoxPredictor_2/ClassPredictor/biases"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    }
                },
                "name": "BoxPredictor_2/ClassPredictor/BiasAdd",
                "op": "BiasAdd"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/depthwise",
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/BatchNorm/batchnorm/mul"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/BatchNorm/batchnorm/mul_1",
                "op": "Mul"
            },
            {
                "input": [
                    "BoxPredictor_2/BoxEncodingPredictor/BiasAdd",
                    "BoxPredictor_2/stack"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "Tshape": {
                        "type": 3
                    }
                },
                "name": "BoxPredictor_2/Reshape",
                "op": "Reshape"
            },
            {
                "input": [
                    "BoxPredictor_2/ClassPredictor/BiasAdd",
                    "BoxPredictor_2/stack_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "Tshape": {
                        "type": 3
                    }
                },
                "name": "BoxPredictor_2/Reshape_1",
                "op": "Reshape"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/Relu6",
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/Conv2D/merged_input"
                ],
                "attr": {
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/Relu6",
                    "BoxPredictor_3/BoxEncodingPredictor_depthwise/depthwise_weights"
                ],
                "attr": {
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "T": {
                        "type": 1
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    }
                },
                "name": "BoxPredictor_3/BoxEncodingPredictor_depthwise/depthwise",
                "op": "DepthwiseConv2dNative"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/Relu6",
                    "BoxPredictor_3/ClassPredictor_depthwise/depthwise_weights"
                ],
                "attr": {
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_3/ClassPredictor_depthwise/depthwise",
                "op": "DepthwiseConv2dNative"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/Relu6"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "out_type": {
                        "type": 3
                    }
                },
                "name": "BoxPredictor_3/Shape",
                "op": "Shape"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/Relu6",
                    "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/Conv2D/merged_input"
                ],
                "attr": {
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "BoxPredictor_3/BoxEncodingPredictor_depthwise/depthwise",
                    "BoxPredictor_3/BoxEncodingPredictor_depthwise/BatchNorm/gamma",
                    "BoxPredictor_3/BoxEncodingPredictor_depthwise/BatchNorm/beta",
                    "BoxPredictor_3/BoxEncodingPredictor_depthwise/BatchNorm/moving_mean",
                    "BoxPredictor_3/BoxEncodingPredictor_depthwise/BatchNorm/moving_variance"
                ],
                "attr": {
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "is_training": {
                        "b": false
                    },
                    "epsilon": {
                        "f": 0.0010000000474974513
                    },
                    "T": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_3/BoxEncodingPredictor_depthwise/BatchNorm/FusedBatchNorm",
                "op": "FusedBatchNorm"
            },
            {
                "input": [
                    "BoxPredictor_3/ClassPredictor_depthwise/depthwise",
                    "BoxPredictor_3/ClassPredictor_depthwise/BatchNorm/gamma",
                    "BoxPredictor_3/ClassPredictor_depthwise/BatchNorm/beta",
                    "BoxPredictor_3/ClassPredictor_depthwise/BatchNorm/moving_mean",
                    "BoxPredictor_3/ClassPredictor_depthwise/BatchNorm/moving_variance"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "is_training": {
                        "b": false
                    },
                    "epsilon": {
                        "f": 0.0010000000474974513
                    }
                },
                "name": "BoxPredictor_3/ClassPredictor_depthwise/BatchNorm/FusedBatchNorm",
                "op": "FusedBatchNorm"
            },
            {
                "input": [
                    "BoxPredictor_3/Shape",
                    "Postprocessor/strided_slice/stack",
                    "Postprocessor/strided_slice/stack_1",
                    "Postprocessor/strided_slice/stack_1"
                ],
                "attr": {
                    "shrink_axis_mask": {
                        "i": "1"
                    },
                    "begin_mask": {
                        "i": "0"
                    },
                    "ellipsis_mask": {
                        "i": "0"
                    },
                    "new_axis_mask": {
                        "i": "0"
                    },
                    "end_mask": {
                        "i": "0"
                    },
                    "Index": {
                        "type": 3
                    },
                    "T": {
                        "type": 3
                    }
                },
                "name": "BoxPredictor_3/strided_slice",
                "op": "StridedSlice"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "BoxPredictor_3/BoxEncodingPredictor_depthwise/BatchNorm/FusedBatchNorm"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_3/BoxEncodingPredictor_depthwise/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "BoxPredictor_3/ClassPredictor_depthwise/BatchNorm/FusedBatchNorm"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_3/ClassPredictor_depthwise/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "BoxPredictor_3/strided_slice",
                    "BoxPredictor_3/stack/1",
                    "Postprocessor/Tile/multiples/1",
                    "BoxPredictor_0/stack/3"
                ],
                "attr": {
                    "axis": {
                        "i": "0"
                    },
                    "N": {
                        "i": "4"
                    },
                    "T": {
                        "type": 3
                    }
                },
                "name": "BoxPredictor_3/stack",
                "op": "Pack"
            },
            {
                "input": [
                    "BoxPredictor_3/strided_slice",
                    "BoxPredictor_3/stack/1",
                    "BoxPredictor_0/stack_1/2"
                ],
                "attr": {
                    "T": {
                        "type": 3
                    },
                    "axis": {
                        "i": "0"
                    },
                    "N": {
                        "i": "3"
                    }
                },
                "name": "BoxPredictor_3/stack_1",
                "op": "Pack"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "BoxPredictor_3/BoxEncodingPredictor_depthwise/Relu6",
                    "BoxPredictor_3/BoxEncodingPredictor/weights"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    }
                },
                "name": "BoxPredictor_3/BoxEncodingPredictor/Conv2D",
                "op": "Conv2D"
            },
            {
                "input": [
                    "BoxPredictor_3/ClassPredictor_depthwise/Relu6",
                    "BoxPredictor_3/ClassPredictor/weights"
                ],
                "attr": {
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    }
                },
                "name": "BoxPredictor_3/ClassPredictor/Conv2D",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/Relu6",
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/depthwise_weights"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "2",
                                "2",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/depthwise",
                "op": "DepthwiseConv2dNative"
            },
            {
                "input": [
                    "BoxPredictor_3/BoxEncodingPredictor/Conv2D",
                    "BoxPredictor_3/BoxEncodingPredictor/biases"
                ],
                "attr": {
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "T": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_3/BoxEncodingPredictor/BiasAdd",
                "op": "BiasAdd"
            },
            {
                "input": [
                    "BoxPredictor_3/ClassPredictor/Conv2D",
                    "BoxPredictor_3/ClassPredictor/biases"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    }
                },
                "name": "BoxPredictor_3/ClassPredictor/BiasAdd",
                "op": "BiasAdd"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/depthwise",
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/BatchNorm/batchnorm/mul"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/BatchNorm/batchnorm/mul_1",
                "op": "Mul"
            },
            {
                "input": [
                    "BoxPredictor_3/BoxEncodingPredictor/BiasAdd",
                    "BoxPredictor_3/stack"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "Tshape": {
                        "type": 3
                    }
                },
                "name": "BoxPredictor_3/Reshape",
                "op": "Reshape"
            },
            {
                "input": [
                    "BoxPredictor_3/ClassPredictor/BiasAdd",
                    "BoxPredictor_3/stack_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "Tshape": {
                        "type": 3
                    }
                },
                "name": "BoxPredictor_3/Reshape_1",
                "op": "Reshape"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/Relu6",
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/Conv2D/merged_input"
                ],
                "attr": {
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/Relu6",
                    "BoxPredictor_4/BoxEncodingPredictor_depthwise/depthwise_weights"
                ],
                "attr": {
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "T": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_4/BoxEncodingPredictor_depthwise/depthwise",
                "op": "DepthwiseConv2dNative"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/Relu6",
                    "BoxPredictor_4/ClassPredictor_depthwise/depthwise_weights"
                ],
                "attr": {
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    }
                },
                "name": "BoxPredictor_4/ClassPredictor_depthwise/depthwise",
                "op": "DepthwiseConv2dNative"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/Relu6"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "out_type": {
                        "type": 3
                    }
                },
                "name": "BoxPredictor_4/Shape",
                "op": "Shape"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/Relu6",
                    "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/Conv2D/merged_input"
                ],
                "attr": {
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "BoxPredictor_4/BoxEncodingPredictor_depthwise/depthwise",
                    "BoxPredictor_4/BoxEncodingPredictor_depthwise/BatchNorm/gamma",
                    "BoxPredictor_4/BoxEncodingPredictor_depthwise/BatchNorm/beta",
                    "BoxPredictor_4/BoxEncodingPredictor_depthwise/BatchNorm/moving_mean",
                    "BoxPredictor_4/BoxEncodingPredictor_depthwise/BatchNorm/moving_variance"
                ],
                "attr": {
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "is_training": {
                        "b": false
                    },
                    "epsilon": {
                        "f": 0.0010000000474974513
                    },
                    "T": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_4/BoxEncodingPredictor_depthwise/BatchNorm/FusedBatchNorm",
                "op": "FusedBatchNorm"
            },
            {
                "input": [
                    "BoxPredictor_4/ClassPredictor_depthwise/depthwise",
                    "BoxPredictor_4/ClassPredictor_depthwise/BatchNorm/gamma",
                    "BoxPredictor_4/ClassPredictor_depthwise/BatchNorm/beta",
                    "BoxPredictor_4/ClassPredictor_depthwise/BatchNorm/moving_mean",
                    "BoxPredictor_4/ClassPredictor_depthwise/BatchNorm/moving_variance"
                ],
                "attr": {
                    "epsilon": {
                        "f": 0.0010000000474974513
                    },
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "is_training": {
                        "b": false
                    }
                },
                "name": "BoxPredictor_4/ClassPredictor_depthwise/BatchNorm/FusedBatchNorm",
                "op": "FusedBatchNorm"
            },
            {
                "input": [
                    "BoxPredictor_4/Shape",
                    "Postprocessor/strided_slice/stack",
                    "Postprocessor/strided_slice/stack_1",
                    "Postprocessor/strided_slice/stack_1"
                ],
                "attr": {
                    "shrink_axis_mask": {
                        "i": "1"
                    },
                    "ellipsis_mask": {
                        "i": "0"
                    },
                    "begin_mask": {
                        "i": "0"
                    },
                    "new_axis_mask": {
                        "i": "0"
                    },
                    "end_mask": {
                        "i": "0"
                    },
                    "Index": {
                        "type": 3
                    },
                    "T": {
                        "type": 3
                    }
                },
                "name": "BoxPredictor_4/strided_slice",
                "op": "StridedSlice"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "BoxPredictor_4/BoxEncodingPredictor_depthwise/BatchNorm/FusedBatchNorm"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_4/BoxEncodingPredictor_depthwise/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "BoxPredictor_4/ClassPredictor_depthwise/BatchNorm/FusedBatchNorm"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_4/ClassPredictor_depthwise/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "BoxPredictor_4/strided_slice",
                    "BoxPredictor_4/stack/1",
                    "Postprocessor/Tile/multiples/1",
                    "BoxPredictor_0/stack/3"
                ],
                "attr": {
                    "T": {
                        "type": 3
                    },
                    "axis": {
                        "i": "0"
                    },
                    "N": {
                        "i": "4"
                    }
                },
                "name": "BoxPredictor_4/stack",
                "op": "Pack"
            },
            {
                "input": [
                    "BoxPredictor_4/strided_slice",
                    "BoxPredictor_4/stack/1",
                    "BoxPredictor_0/stack_1/2"
                ],
                "attr": {
                    "T": {
                        "type": 3
                    },
                    "axis": {
                        "i": "0"
                    },
                    "N": {
                        "i": "3"
                    }
                },
                "name": "BoxPredictor_4/stack_1",
                "op": "Pack"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "BoxPredictor_4/BoxEncodingPredictor_depthwise/Relu6",
                    "BoxPredictor_4/BoxEncodingPredictor/weights"
                ],
                "attr": {
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    }
                },
                "name": "BoxPredictor_4/BoxEncodingPredictor/Conv2D",
                "op": "Conv2D"
            },
            {
                "input": [
                    "BoxPredictor_4/ClassPredictor_depthwise/Relu6",
                    "BoxPredictor_4/ClassPredictor/weights"
                ],
                "attr": {
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    }
                },
                "name": "BoxPredictor_4/ClassPredictor/Conv2D",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/Relu6",
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/depthwise_weights"
                ],
                "attr": {
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "2",
                                "2",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/depthwise",
                "op": "DepthwiseConv2dNative"
            },
            {
                "input": [
                    "BoxPredictor_4/BoxEncodingPredictor/Conv2D",
                    "BoxPredictor_4/BoxEncodingPredictor/biases"
                ],
                "attr": {
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "T": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_4/BoxEncodingPredictor/BiasAdd",
                "op": "BiasAdd"
            },
            {
                "input": [
                    "BoxPredictor_4/ClassPredictor/Conv2D",
                    "BoxPredictor_4/ClassPredictor/biases"
                ],
                "attr": {
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "T": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_4/ClassPredictor/BiasAdd",
                "op": "BiasAdd"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/depthwise",
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/BatchNorm/batchnorm/mul"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/BatchNorm/batchnorm/mul_1",
                "op": "Mul"
            },
            {
                "input": [
                    "BoxPredictor_4/BoxEncodingPredictor/BiasAdd",
                    "BoxPredictor_4/stack"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "Tshape": {
                        "type": 3
                    }
                },
                "name": "BoxPredictor_4/Reshape",
                "op": "Reshape"
            },
            {
                "input": [
                    "BoxPredictor_4/ClassPredictor/BiasAdd",
                    "BoxPredictor_4/stack_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "Tshape": {
                        "type": 3
                    }
                },
                "name": "BoxPredictor_4/Reshape_1",
                "op": "Reshape"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/Relu6",
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/Conv2D/merged_input"
                ],
                "attr": {
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/BatchNorm/batchnorm/mul_1",
                "op": "Conv2D"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/BatchNorm/batchnorm/mul_1",
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/BatchNorm/batchnorm/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/BatchNorm/batchnorm/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/BatchNorm/batchnorm/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/Relu6",
                    "BoxPredictor_5/BoxEncodingPredictor_depthwise/depthwise_weights"
                ],
                "attr": {
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "T": {
                        "type": 1
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    }
                },
                "name": "BoxPredictor_5/BoxEncodingPredictor_depthwise/depthwise",
                "op": "DepthwiseConv2dNative"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/Relu6",
                    "BoxPredictor_5/ClassPredictor_depthwise/depthwise_weights"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    }
                },
                "name": "BoxPredictor_5/ClassPredictor_depthwise/depthwise",
                "op": "DepthwiseConv2dNative"
            },
            {
                "input": [
                    "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/Relu6"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "out_type": {
                        "type": 3
                    }
                },
                "name": "BoxPredictor_5/Shape",
                "op": "Shape"
            },
            {
                "input": [
                    "BoxPredictor_5/BoxEncodingPredictor_depthwise/depthwise",
                    "BoxPredictor_5/BoxEncodingPredictor_depthwise/BatchNorm/gamma",
                    "BoxPredictor_5/BoxEncodingPredictor_depthwise/BatchNorm/beta",
                    "BoxPredictor_5/BoxEncodingPredictor_depthwise/BatchNorm/moving_mean",
                    "BoxPredictor_5/BoxEncodingPredictor_depthwise/BatchNorm/moving_variance"
                ],
                "attr": {
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "is_training": {
                        "b": false
                    },
                    "epsilon": {
                        "f": 0.0010000000474974513
                    },
                    "T": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_5/BoxEncodingPredictor_depthwise/BatchNorm/FusedBatchNorm",
                "op": "FusedBatchNorm"
            },
            {
                "input": [
                    "BoxPredictor_5/ClassPredictor_depthwise/depthwise",
                    "BoxPredictor_5/ClassPredictor_depthwise/BatchNorm/gamma",
                    "BoxPredictor_5/ClassPredictor_depthwise/BatchNorm/beta",
                    "BoxPredictor_5/ClassPredictor_depthwise/BatchNorm/moving_mean",
                    "BoxPredictor_5/ClassPredictor_depthwise/BatchNorm/moving_variance"
                ],
                "attr": {
                    "epsilon": {
                        "f": 0.0010000000474974513
                    },
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "is_training": {
                        "b": false
                    }
                },
                "name": "BoxPredictor_5/ClassPredictor_depthwise/BatchNorm/FusedBatchNorm",
                "op": "FusedBatchNorm"
            },
            {
                "input": [
                    "BoxPredictor_5/Shape",
                    "Postprocessor/strided_slice/stack",
                    "Postprocessor/strided_slice/stack_1",
                    "Postprocessor/strided_slice/stack_1"
                ],
                "attr": {
                    "new_axis_mask": {
                        "i": "0"
                    },
                    "end_mask": {
                        "i": "0"
                    },
                    "Index": {
                        "type": 3
                    },
                    "T": {
                        "type": 3
                    },
                    "shrink_axis_mask": {
                        "i": "1"
                    },
                    "ellipsis_mask": {
                        "i": "0"
                    },
                    "begin_mask": {
                        "i": "0"
                    }
                },
                "name": "BoxPredictor_5/strided_slice",
                "op": "StridedSlice"
            },
            {
                "input": [
                    "BoxPredictor_5/BoxEncodingPredictor_depthwise/BatchNorm/FusedBatchNorm"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_5/BoxEncodingPredictor_depthwise/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "BoxPredictor_5/ClassPredictor_depthwise/BatchNorm/FusedBatchNorm"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_5/ClassPredictor_depthwise/Relu6",
                "op": "Relu6"
            },
            {
                "input": [
                    "BoxPredictor_5/strided_slice",
                    "BoxPredictor_5/stack/1",
                    "Postprocessor/Tile/multiples/1",
                    "BoxPredictor_0/stack/3"
                ],
                "attr": {
                    "axis": {
                        "i": "0"
                    },
                    "N": {
                        "i": "4"
                    },
                    "T": {
                        "type": 3
                    }
                },
                "name": "BoxPredictor_5/stack",
                "op": "Pack"
            },
            {
                "input": [
                    "BoxPredictor_5/strided_slice",
                    "BoxPredictor_5/stack/1",
                    "BoxPredictor_0/stack_1/2"
                ],
                "attr": {
                    "T": {
                        "type": 3
                    },
                    "axis": {
                        "i": "0"
                    },
                    "N": {
                        "i": "3"
                    }
                },
                "name": "BoxPredictor_5/stack_1",
                "op": "Pack"
            },
            {
                "input": [
                    "BoxPredictor_5/BoxEncodingPredictor_depthwise/Relu6",
                    "BoxPredictor_5/BoxEncodingPredictor/weights"
                ],
                "attr": {
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    },
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_5/BoxEncodingPredictor/Conv2D",
                "op": "Conv2D"
            },
            {
                "input": [
                    "BoxPredictor_5/ClassPredictor_depthwise/Relu6",
                    "BoxPredictor_5/ClassPredictor/weights"
                ],
                "attr": {
                    "padding": {
                        "s": [
                            83,
                            65,
                            77,
                            69
                        ]
                    },
                    "dilations": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    },
                    "strides": {
                        "list": {
                            "s": [],
                            "i": [
                                "1",
                                "1",
                                "1",
                                "1"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    },
                    "use_cudnn_on_gpu": {
                        "b": true
                    }
                },
                "name": "BoxPredictor_5/ClassPredictor/Conv2D",
                "op": "Conv2D"
            },
            {
                "input": [
                    "BoxPredictor_5/BoxEncodingPredictor/Conv2D",
                    "BoxPredictor_5/BoxEncodingPredictor/biases"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    }
                },
                "name": "BoxPredictor_5/BoxEncodingPredictor/BiasAdd",
                "op": "BiasAdd"
            },
            {
                "input": [
                    "BoxPredictor_5/ClassPredictor/Conv2D",
                    "BoxPredictor_5/ClassPredictor/biases"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "data_format": {
                        "s": [
                            78,
                            72,
                            87,
                            67
                        ]
                    }
                },
                "name": "BoxPredictor_5/ClassPredictor/BiasAdd",
                "op": "BiasAdd"
            },
            {
                "input": [
                    "BoxPredictor_5/BoxEncodingPredictor/BiasAdd",
                    "BoxPredictor_5/stack"
                ],
                "attr": {
                    "Tshape": {
                        "type": 3
                    },
                    "T": {
                        "type": 1
                    }
                },
                "name": "BoxPredictor_5/Reshape",
                "op": "Reshape"
            },
            {
                "input": [
                    "BoxPredictor_5/ClassPredictor/BiasAdd",
                    "BoxPredictor_5/stack_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "Tshape": {
                        "type": 3
                    }
                },
                "name": "BoxPredictor_5/Reshape_1",
                "op": "Reshape"
            },
            {
                "input": [
                    "BoxPredictor_0/Reshape",
                    "BoxPredictor_1/Reshape",
                    "BoxPredictor_2/Reshape",
                    "BoxPredictor_3/Reshape",
                    "BoxPredictor_4/Reshape",
                    "BoxPredictor_5/Reshape",
                    "Postprocessor/Tile/multiples/1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "N": {
                        "i": "6"
                    },
                    "Tidx": {
                        "type": 3
                    }
                },
                "name": "concat",
                "op": "ConcatV2"
            },
            {
                "input": [
                    "BoxPredictor_0/Reshape_1",
                    "BoxPredictor_1/Reshape_1",
                    "BoxPredictor_2/Reshape_1",
                    "BoxPredictor_3/Reshape_1",
                    "BoxPredictor_4/Reshape_1",
                    "BoxPredictor_5/Reshape_1",
                    "Postprocessor/Tile/multiples/1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "N": {
                        "i": "6"
                    },
                    "Tidx": {
                        "type": 3
                    }
                },
                "name": "concat_1",
                "op": "ConcatV2"
            },
            {
                "input": [
                    "concat"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "squeeze_dims": {
                        "list": {
                            "s": [],
                            "i": [
                                "2"
                            ],
                            "f": [],
                            "b": [],
                            "type": [],
                            "shape": [],
                            "tensor": [],
                            "func": []
                        }
                    }
                },
                "name": "Squeeze",
                "op": "Squeeze"
            },
            {
                "input": [
                    "concat_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "Postprocessor/convert_scores",
                "op": "Sigmoid"
            },
            {
                "input": [
                    "Squeeze",
                    "Postprocessor/Reshape_1/shape"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "Tshape": {
                        "type": 3
                    }
                },
                "name": "Postprocessor/Reshape_1",
                "op": "Reshape"
            },
            {
                "input": [
                    "Squeeze"
                ],
                "attr": {
                    "out_type": {
                        "type": 3
                    },
                    "T": {
                        "type": 1
                    }
                },
                "name": "Postprocessor/Shape",
                "op": "Shape"
            },
            {
                "input": [
                    "Postprocessor/convert_scores",
                    "Postprocessor/Slice/begin",
                    "Postprocessor/Slice/size"
                ],
                "attr": {
                    "Index": {
                        "type": 3
                    },
                    "T": {
                        "type": 1
                    }
                },
                "name": "Postprocessor/Slice",
                "op": "Slice"
            },
            {
                "input": [
                    "^Postprocessor/Reshape_1"
                ],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 3,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "2"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 3
                    }
                },
                "name": "Postprocessor/Decode/transpose/sub_1",
                "op": "Const"
            },
            {
                "input": [
                    "Postprocessor/Shape",
                    "Postprocessor/strided_slice/stack",
                    "Postprocessor/strided_slice/stack_1",
                    "Postprocessor/strided_slice/stack_1"
                ],
                "attr": {
                    "end_mask": {
                        "i": "0"
                    },
                    "T": {
                        "type": 3
                    },
                    "Index": {
                        "type": 3
                    },
                    "shrink_axis_mask": {
                        "i": "1"
                    },
                    "ellipsis_mask": {
                        "i": "0"
                    },
                    "begin_mask": {
                        "i": "0"
                    },
                    "new_axis_mask": {
                        "i": "0"
                    }
                },
                "name": "Postprocessor/strided_slice",
                "op": "StridedSlice"
            },
            {
                "input": [
                    "Postprocessor/Reshape_1",
                    "Postprocessor/Decode/transpose/sub_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "Tperm": {
                        "type": 3
                    }
                },
                "name": "Postprocessor/Decode/transpose",
                "op": "Transpose"
            },
            {
                "input": [
                    "Postprocessor/strided_slice",
                    "Postprocessor/Tile/multiples/1",
                    "Postprocessor/Tile/multiples/1"
                ],
                "attr": {
                    "T": {
                        "type": 3
                    },
                    "axis": {
                        "i": "0"
                    },
                    "N": {
                        "i": "3"
                    }
                },
                "name": "Postprocessor/Tile/multiples",
                "op": "Pack"
            },
            {
                "input": [
                    "Postprocessor/strided_slice",
                    "MultipleGridAnchorGenerator/assert_equal/x",
                    "BoxPredictor_0/stack/3"
                ],
                "attr": {
                    "T": {
                        "type": 3
                    },
                    "axis": {
                        "i": "0"
                    },
                    "N": {
                        "i": "3"
                    }
                },
                "name": "Postprocessor/stack",
                "op": "Pack"
            },
            {
                "input": [
                    "Postprocessor/Decode/transpose"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "num": {
                        "i": "4"
                    },
                    "axis": {
                        "i": "0"
                    }
                },
                "name": "Postprocessor/Decode/unstack",
                "op": "Unpack"
            },
            {
                "input": [
                    "Postprocessor/ExpandDims",
                    "Postprocessor/Tile/multiples"
                ],
                "attr": {
                    "Tmultiples": {
                        "type": 3
                    },
                    "T": {
                        "type": 1
                    }
                },
                "name": "Postprocessor/Tile",
                "op": "Tile"
            },
            {
                "input": [
                    "Postprocessor/Decode/unstack",
                    "ConstantFolding/Postprocessor/Decode/div_recip"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "Postprocessor/Decode/div",
                "op": "Mul"
            },
            {
                "input": [
                    "Postprocessor/Decode/unstack:2",
                    "ConstantFolding/Postprocessor/Decode/div_2_recip"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "Postprocessor/Decode/div_2",
                "op": "Mul"
            },
            {
                "input": [
                    "Postprocessor/Decode/unstack:1",
                    "ConstantFolding/Postprocessor/Decode/div_recip"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "Postprocessor/Decode/div_1",
                "op": "Mul"
            },
            {
                "input": [
                    "Postprocessor/Decode/unstack:3",
                    "ConstantFolding/Postprocessor/Decode/div_2_recip"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "Postprocessor/Decode/div_3",
                "op": "Mul"
            },
            {
                "input": [
                    "Postprocessor/Tile",
                    "Postprocessor/Reshape_1/shape"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "Tshape": {
                        "type": 3
                    }
                },
                "name": "Postprocessor/Reshape",
                "op": "Reshape"
            },
            {
                "input": [
                    "Postprocessor/Decode/div_2"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "Postprocessor/Decode/Exp_1",
                "op": "Exp"
            },
            {
                "input": [
                    "Postprocessor/Decode/div_3"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "Postprocessor/Decode/Exp",
                "op": "Exp"
            },
            {
                "input": [
                    "^Postprocessor/Reshape"
                ],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 3,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "2"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 3
                    }
                },
                "name": "Postprocessor/Decode/get_center_coordinates_and_sizes/transpose/sub_1",
                "op": "Const"
            },
            {
                "input": [
                    "Postprocessor/Reshape",
                    "Postprocessor/Decode/get_center_coordinates_and_sizes/transpose/sub_1"
                ],
                "attr": {
                    "Tperm": {
                        "type": 3
                    },
                    "T": {
                        "type": 1
                    }
                },
                "name": "Postprocessor/Decode/get_center_coordinates_and_sizes/transpose",
                "op": "Transpose"
            },
            {
                "input": [
                    "Postprocessor/Decode/get_center_coordinates_and_sizes/transpose"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "num": {
                        "i": "4"
                    },
                    "axis": {
                        "i": "0"
                    }
                },
                "name": "Postprocessor/Decode/get_center_coordinates_and_sizes/unstack",
                "op": "Unpack"
            },
            {
                "input": [
                    "Postprocessor/Decode/get_center_coordinates_and_sizes/unstack:2",
                    "Postprocessor/Decode/get_center_coordinates_and_sizes/unstack"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "Postprocessor/Decode/get_center_coordinates_and_sizes/sub_1",
                "op": "Sub"
            },
            {
                "input": [
                    "Postprocessor/Decode/get_center_coordinates_and_sizes/unstack:3",
                    "Postprocessor/Decode/get_center_coordinates_and_sizes/unstack:1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "Postprocessor/Decode/get_center_coordinates_and_sizes/sub",
                "op": "Sub"
            },
            {
                "input": [
                    "Postprocessor/Decode/div",
                    "Postprocessor/Decode/get_center_coordinates_and_sizes/sub_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "Postprocessor/Decode/mul_2",
                "op": "Mul"
            },
            {
                "input": [
                    "Postprocessor/Decode/get_center_coordinates_and_sizes/sub_1",
                    "ConstantFolding/Postprocessor/Decode/div_4_recip"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "Postprocessor/Decode/get_center_coordinates_and_sizes/div",
                "op": "Mul"
            },
            {
                "input": [
                    "Postprocessor/Decode/div_1",
                    "Postprocessor/Decode/get_center_coordinates_and_sizes/sub"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "Postprocessor/Decode/mul_3",
                "op": "Mul"
            },
            {
                "input": [
                    "Postprocessor/Decode/get_center_coordinates_and_sizes/sub",
                    "ConstantFolding/Postprocessor/Decode/div_4_recip"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "Postprocessor/Decode/get_center_coordinates_and_sizes/div_1",
                "op": "Mul"
            },
            {
                "input": [
                    "Postprocessor/Decode/get_center_coordinates_and_sizes/unstack",
                    "Postprocessor/Decode/get_center_coordinates_and_sizes/div"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "Postprocessor/Decode/get_center_coordinates_and_sizes/add",
                "op": "Add"
            },
            {
                "input": [
                    "Postprocessor/Decode/get_center_coordinates_and_sizes/div",
                    "Postprocessor/Decode/Exp_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "Postprocessor/Decode/div_4",
                "op": "Mul"
            },
            {
                "input": [
                    "Postprocessor/Decode/get_center_coordinates_and_sizes/unstack:1",
                    "Postprocessor/Decode/get_center_coordinates_and_sizes/div_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "Postprocessor/Decode/get_center_coordinates_and_sizes/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "Postprocessor/Decode/get_center_coordinates_and_sizes/div_1",
                    "Postprocessor/Decode/Exp"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "Postprocessor/Decode/div_5",
                "op": "Mul"
            },
            {
                "input": [
                    "Postprocessor/Decode/mul_2",
                    "Postprocessor/Decode/get_center_coordinates_and_sizes/add"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "Postprocessor/Decode/add",
                "op": "Add"
            },
            {
                "input": [
                    "Postprocessor/Decode/mul_3",
                    "Postprocessor/Decode/get_center_coordinates_and_sizes/add_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "Postprocessor/Decode/add_1",
                "op": "Add"
            },
            {
                "input": [
                    "Postprocessor/Decode/add",
                    "Postprocessor/Decode/div_4"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "Postprocessor/Decode/sub",
                "op": "Sub"
            },
            {
                "input": [
                    "Postprocessor/Decode/add",
                    "Postprocessor/Decode/div_4"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "Postprocessor/Decode/add_2",
                "op": "Add"
            },
            {
                "input": [
                    "Postprocessor/Decode/add_1",
                    "Postprocessor/Decode/div_5"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "Postprocessor/Decode/sub_1",
                "op": "Sub"
            },
            {
                "input": [
                    "Postprocessor/Decode/add_1",
                    "Postprocessor/Decode/div_5"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    }
                },
                "name": "Postprocessor/Decode/add_3",
                "op": "Add"
            },
            {
                "input": [
                    "Postprocessor/Decode/sub",
                    "Postprocessor/Decode/sub_1",
                    "Postprocessor/Decode/add_2",
                    "Postprocessor/Decode/add_3"
                ],
                "attr": {
                    "axis": {
                        "i": "0"
                    },
                    "N": {
                        "i": "4"
                    },
                    "T": {
                        "type": 1
                    }
                },
                "name": "Postprocessor/Decode/stack",
                "op": "Pack"
            },
            {
                "input": [
                    "^Postprocessor/Decode/stack"
                ],
                "attr": {
                    "value": {
                        "tensor": {
                            "floatVal": [],
                            "doubleVal": [],
                            "intVal": [],
                            "stringVal": [],
                            "scomplexVal": [],
                            "int64Val": [],
                            "boolVal": [],
                            "uint32Val": [],
                            "uint64Val": [],
                            "dtype": 3,
                            "tensorShape": {
                                "dim": [
                                    {
                                        "size": "2"
                                    }
                                ]
                            }
                        }
                    },
                    "dtype": {
                        "type": 3
                    }
                },
                "name": "Postprocessor/Decode/transpose_1/sub_1",
                "op": "Const"
            },
            {
                "input": [
                    "Postprocessor/Decode/stack",
                    "Postprocessor/Decode/transpose_1/sub_1"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "Tperm": {
                        "type": 3
                    }
                },
                "name": "Postprocessor/Decode/transpose_1",
                "op": "Transpose"
            },
            {
                "input": [
                    "Postprocessor/Decode/transpose_1",
                    "Postprocessor/stack"
                ],
                "attr": {
                    "T": {
                        "type": 1
                    },
                    "Tshape": {
                        "type": 3
                    }
                },
                "name": "Postprocessor/Reshape_2",
                "op": "Reshape"
            },
            {
                "input": [
                    "Postprocessor/Reshape_2",
                    "Postprocessor/ExpandDims_1/dim"
                ],
                "attr": {
                    "Tdim": {
                        "type": 3
                    },
                    "T": {
                        "type": 1
                    }
                },
                "name": "Postprocessor/ExpandDims_1",
                "op": "ExpandDims"
            }
        ],
        "library": {
            "function": [],
            "gradient": []
        },
        "versions": {
            "badConsumers": []
        }
    },
    "weightsManifest": [
        {
            "weights": [
                {
                    "shape": [],
                    "dtype": "float32",
                    "name": "ConstantFolding/Postprocessor/Decode/div_recip"
                },
                {
                    "shape": [
                        1,
                        1917,
                        4
                    ],
                    "dtype": "float32",
                    "name": "Postprocessor/ExpandDims"
                },
                {
                    "shape": [],
                    "dtype": "float32",
                    "name": "ConstantFolding/Postprocessor/Decode/div_4_recip"
                },
                {
                    "shape": [
                        2
                    ],
                    "dtype": "int32",
                    "name": "Postprocessor/Reshape_1/shape"
                },
                {
                    "shape": [],
                    "dtype": "float32",
                    "name": "ConstantFolding/Postprocessor/Decode/div_2_recip"
                },
                {
                    "shape": [
                        3,
                        3,
                        576,
                        1
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_0/BoxEncodingPredictor_depthwise/depthwise_weights"
                },
                {
                    "shape": [
                        576
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_0/BoxEncodingPredictor_depthwise/BatchNorm/gamma"
                },
                {
                    "shape": [
                        576
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_0/BoxEncodingPredictor_depthwise/BatchNorm/beta"
                },
                {
                    "shape": [
                        576
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_0/BoxEncodingPredictor_depthwise/BatchNorm/moving_mean"
                },
                {
                    "shape": [
                        576
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_0/BoxEncodingPredictor_depthwise/BatchNorm/moving_variance"
                },
                {
                    "shape": [
                        1,
                        1,
                        576,
                        12
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_0/BoxEncodingPredictor/weights"
                },
                {
                    "shape": [
                        12
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_0/BoxEncodingPredictor/biases"
                },
                {
                    "shape": [
                        3,
                        3,
                        1280,
                        1
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_1/BoxEncodingPredictor_depthwise/depthwise_weights"
                },
                {
                    "shape": [
                        1280
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_1/BoxEncodingPredictor_depthwise/BatchNorm/gamma"
                },
                {
                    "shape": [
                        1280
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_1/BoxEncodingPredictor_depthwise/BatchNorm/beta"
                },
                {
                    "shape": [
                        1280
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_1/BoxEncodingPredictor_depthwise/BatchNorm/moving_mean"
                },
                {
                    "shape": [
                        1280
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_1/BoxEncodingPredictor_depthwise/BatchNorm/moving_variance"
                },
                {
                    "shape": [
                        1,
                        1,
                        1280,
                        24
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_1/BoxEncodingPredictor/weights"
                },
                {
                    "shape": [
                        24
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_1/BoxEncodingPredictor/biases"
                },
                {
                    "shape": [
                        3,
                        3,
                        512,
                        1
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_2/BoxEncodingPredictor_depthwise/depthwise_weights"
                },
                {
                    "shape": [
                        512
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_2/BoxEncodingPredictor_depthwise/BatchNorm/gamma"
                },
                {
                    "shape": [
                        512
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_2/BoxEncodingPredictor_depthwise/BatchNorm/beta"
                },
                {
                    "shape": [
                        512
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_2/BoxEncodingPredictor_depthwise/BatchNorm/moving_mean"
                },
                {
                    "shape": [
                        512
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_2/BoxEncodingPredictor_depthwise/BatchNorm/moving_variance"
                },
                {
                    "shape": [
                        1,
                        1,
                        512,
                        24
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_2/BoxEncodingPredictor/weights"
                },
                {
                    "shape": [
                        24
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_2/BoxEncodingPredictor/biases"
                },
                {
                    "shape": [
                        3,
                        3,
                        256,
                        1
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_3/BoxEncodingPredictor_depthwise/depthwise_weights"
                },
                {
                    "shape": [
                        256
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_3/BoxEncodingPredictor_depthwise/BatchNorm/gamma"
                },
                {
                    "shape": [
                        256
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_3/BoxEncodingPredictor_depthwise/BatchNorm/beta"
                },
                {
                    "shape": [
                        256
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_3/BoxEncodingPredictor_depthwise/BatchNorm/moving_mean"
                },
                {
                    "shape": [
                        256
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_3/BoxEncodingPredictor_depthwise/BatchNorm/moving_variance"
                },
                {
                    "shape": [
                        1,
                        1,
                        256,
                        24
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_3/BoxEncodingPredictor/weights"
                },
                {
                    "shape": [
                        24
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_3/BoxEncodingPredictor/biases"
                },
                {
                    "shape": [
                        3,
                        3,
                        256,
                        1
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_4/BoxEncodingPredictor_depthwise/depthwise_weights"
                },
                {
                    "shape": [
                        256
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_4/BoxEncodingPredictor_depthwise/BatchNorm/gamma"
                },
                {
                    "shape": [
                        256
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_4/BoxEncodingPredictor_depthwise/BatchNorm/beta"
                },
                {
                    "shape": [
                        256
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_4/BoxEncodingPredictor_depthwise/BatchNorm/moving_mean"
                },
                {
                    "shape": [
                        256
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_4/BoxEncodingPredictor_depthwise/BatchNorm/moving_variance"
                },
                {
                    "shape": [
                        1,
                        1,
                        256,
                        24
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_4/BoxEncodingPredictor/weights"
                },
                {
                    "shape": [
                        24
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_4/BoxEncodingPredictor/biases"
                },
                {
                    "shape": [
                        3,
                        3,
                        128,
                        1
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_5/BoxEncodingPredictor_depthwise/depthwise_weights"
                },
                {
                    "shape": [
                        128
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_5/BoxEncodingPredictor_depthwise/BatchNorm/gamma"
                },
                {
                    "shape": [
                        128
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_5/BoxEncodingPredictor_depthwise/BatchNorm/beta"
                },
                {
                    "shape": [
                        128
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_5/BoxEncodingPredictor_depthwise/BatchNorm/moving_mean"
                },
                {
                    "shape": [
                        128
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_5/BoxEncodingPredictor_depthwise/BatchNorm/moving_variance"
                },
                {
                    "shape": [
                        1,
                        1,
                        128,
                        24
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_5/BoxEncodingPredictor/weights"
                },
                {
                    "shape": [
                        24
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_5/BoxEncodingPredictor/biases"
                },
                {
                    "shape": [],
                    "dtype": "int32",
                    "name": "MultipleGridAnchorGenerator/assert_equal/x"
                },
                {
                    "shape": [],
                    "dtype": "int32",
                    "name": "BoxPredictor_0/stack/3"
                },
                {
                    "shape": [],
                    "dtype": "int32",
                    "name": "Postprocessor/ExpandDims_1/dim"
                },
                {
                    "shape": [
                        3,
                        3,
                        576,
                        1
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_0/ClassPredictor_depthwise/depthwise_weights"
                },
                {
                    "shape": [
                        576
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_0/ClassPredictor_depthwise/BatchNorm/gamma"
                },
                {
                    "shape": [
                        576
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_0/ClassPredictor_depthwise/BatchNorm/beta"
                },
                {
                    "shape": [
                        576
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_0/ClassPredictor_depthwise/BatchNorm/moving_mean"
                },
                {
                    "shape": [
                        576
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_0/ClassPredictor_depthwise/BatchNorm/moving_variance"
                },
                {
                    "shape": [
                        1,
                        1,
                        576,
                        273
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_0/ClassPredictor/weights"
                },
                {
                    "shape": [
                        273
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_0/ClassPredictor/biases"
                },
                {
                    "shape": [],
                    "dtype": "int32",
                    "name": "BoxPredictor_0/stack/1"
                },
                {
                    "shape": [
                        3,
                        3,
                        1280,
                        1
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_1/ClassPredictor_depthwise/depthwise_weights"
                },
                {
                    "shape": [
                        1280
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_1/ClassPredictor_depthwise/BatchNorm/gamma"
                },
                {
                    "shape": [
                        1280
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_1/ClassPredictor_depthwise/BatchNorm/beta"
                },
                {
                    "shape": [
                        1280
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_1/ClassPredictor_depthwise/BatchNorm/moving_mean"
                },
                {
                    "shape": [
                        1280
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_1/ClassPredictor_depthwise/BatchNorm/moving_variance"
                },
                {
                    "shape": [
                        1,
                        1,
                        1280,
                        546
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_1/ClassPredictor/weights"
                },
                {
                    "shape": [
                        546
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_1/ClassPredictor/biases"
                },
                {
                    "shape": [],
                    "dtype": "int32",
                    "name": "BoxPredictor_1/stack/1"
                },
                {
                    "shape": [
                        3,
                        3,
                        512,
                        1
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_2/ClassPredictor_depthwise/depthwise_weights"
                },
                {
                    "shape": [
                        512
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_2/ClassPredictor_depthwise/BatchNorm/gamma"
                },
                {
                    "shape": [
                        512
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_2/ClassPredictor_depthwise/BatchNorm/beta"
                },
                {
                    "shape": [
                        512
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_2/ClassPredictor_depthwise/BatchNorm/moving_mean"
                },
                {
                    "shape": [
                        512
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_2/ClassPredictor_depthwise/BatchNorm/moving_variance"
                },
                {
                    "shape": [
                        1,
                        1,
                        512,
                        546
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_2/ClassPredictor/weights"
                },
                {
                    "shape": [
                        546
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_2/ClassPredictor/biases"
                },
                {
                    "shape": [],
                    "dtype": "int32",
                    "name": "BoxPredictor_2/stack/1"
                },
                {
                    "shape": [
                        3,
                        3,
                        256,
                        1
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_3/ClassPredictor_depthwise/depthwise_weights"
                },
                {
                    "shape": [
                        256
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_3/ClassPredictor_depthwise/BatchNorm/gamma"
                },
                {
                    "shape": [
                        256
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_3/ClassPredictor_depthwise/BatchNorm/beta"
                },
                {
                    "shape": [
                        256
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_3/ClassPredictor_depthwise/BatchNorm/moving_mean"
                },
                {
                    "shape": [
                        256
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_3/ClassPredictor_depthwise/BatchNorm/moving_variance"
                },
                {
                    "shape": [
                        1,
                        1,
                        256,
                        546
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_3/ClassPredictor/weights"
                },
                {
                    "shape": [
                        546
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_3/ClassPredictor/biases"
                },
                {
                    "shape": [],
                    "dtype": "int32",
                    "name": "BoxPredictor_3/stack/1"
                },
                {
                    "shape": [
                        3,
                        3,
                        256,
                        1
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_4/ClassPredictor_depthwise/depthwise_weights"
                },
                {
                    "shape": [
                        256
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_4/ClassPredictor_depthwise/BatchNorm/gamma"
                },
                {
                    "shape": [
                        256
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_4/ClassPredictor_depthwise/BatchNorm/beta"
                },
                {
                    "shape": [
                        256
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_4/ClassPredictor_depthwise/BatchNorm/moving_mean"
                },
                {
                    "shape": [
                        256
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_4/ClassPredictor_depthwise/BatchNorm/moving_variance"
                },
                {
                    "shape": [
                        1,
                        1,
                        256,
                        546
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_4/ClassPredictor/weights"
                },
                {
                    "shape": [
                        546
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_4/ClassPredictor/biases"
                },
                {
                    "shape": [],
                    "dtype": "int32",
                    "name": "BoxPredictor_4/stack/1"
                },
                {
                    "shape": [
                        3,
                        3,
                        128,
                        1
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_5/ClassPredictor_depthwise/depthwise_weights"
                },
                {
                    "shape": [
                        128
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_5/ClassPredictor_depthwise/BatchNorm/gamma"
                },
                {
                    "shape": [
                        128
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_5/ClassPredictor_depthwise/BatchNorm/beta"
                },
                {
                    "shape": [
                        128
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_5/ClassPredictor_depthwise/BatchNorm/moving_mean"
                },
                {
                    "shape": [
                        128
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_5/ClassPredictor_depthwise/BatchNorm/moving_variance"
                },
                {
                    "shape": [
                        1,
                        1,
                        128,
                        546
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_5/ClassPredictor/weights"
                },
                {
                    "shape": [
                        546
                    ],
                    "dtype": "float32",
                    "name": "BoxPredictor_5/ClassPredictor/biases"
                },
                {
                    "shape": [
                        160
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_15/project/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        160,
                        960
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/Conv2D/merged_input"
                },
                {
                    "shape": [
                        960
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        3,
                        3,
                        960,
                        1
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/depthwise_weights"
                },
                {
                    "shape": [
                        960
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/BatchNorm/batchnorm/mul"
                },
                {
                    "shape": [
                        960
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        960,
                        160
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_15/project/Conv2D/merged_input"
                },
                {
                    "shape": [
                        160
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_14/project/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        160,
                        960
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/Conv2D/merged_input"
                },
                {
                    "shape": [
                        960
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        3,
                        3,
                        960,
                        1
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/depthwise_weights"
                },
                {
                    "shape": [
                        960
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/BatchNorm/batchnorm/mul"
                },
                {
                    "shape": [
                        960
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        960,
                        160
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_14/project/Conv2D/merged_input"
                },
                {
                    "shape": [
                        96
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_12/project/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        96,
                        576
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/Conv2D/merged_input"
                },
                {
                    "shape": [
                        576
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        3,
                        3,
                        576,
                        1
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/depthwise_weights"
                },
                {
                    "shape": [
                        576
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/BatchNorm/batchnorm/mul"
                },
                {
                    "shape": [
                        576
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        576,
                        96
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_12/project/Conv2D/merged_input"
                },
                {
                    "shape": [
                        96
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_11/project/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        96,
                        576
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/Conv2D/merged_input"
                },
                {
                    "shape": [
                        576
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        3,
                        3,
                        576,
                        1
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/depthwise_weights"
                },
                {
                    "shape": [
                        576
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/BatchNorm/batchnorm/mul"
                },
                {
                    "shape": [
                        576
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        576,
                        96
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_11/project/Conv2D/merged_input"
                },
                {
                    "shape": [
                        64
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_9/project/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        64,
                        384
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/Conv2D/merged_input"
                },
                {
                    "shape": [
                        384
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        3,
                        3,
                        384,
                        1
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/depthwise_weights"
                },
                {
                    "shape": [
                        384
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/BatchNorm/batchnorm/mul"
                },
                {
                    "shape": [
                        384
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        384,
                        64
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_9/project/Conv2D/merged_input"
                },
                {
                    "shape": [
                        64
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_8/project/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        64,
                        384
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/Conv2D/merged_input"
                },
                {
                    "shape": [
                        384
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        3,
                        3,
                        384,
                        1
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/depthwise_weights"
                },
                {
                    "shape": [
                        384
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/BatchNorm/batchnorm/mul"
                },
                {
                    "shape": [
                        384
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        384,
                        64
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_8/project/Conv2D/merged_input"
                },
                {
                    "shape": [
                        64
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_7/project/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        64,
                        384
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/Conv2D/merged_input"
                },
                {
                    "shape": [
                        384
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        3,
                        3,
                        384,
                        1
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/depthwise_weights"
                },
                {
                    "shape": [
                        384
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/BatchNorm/batchnorm/mul"
                },
                {
                    "shape": [
                        384
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        384,
                        64
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_7/project/Conv2D/merged_input"
                },
                {
                    "shape": [
                        32
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_5/project/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        32,
                        192
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/Conv2D/merged_input"
                },
                {
                    "shape": [
                        192
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        3,
                        3,
                        192,
                        1
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/depthwise_weights"
                },
                {
                    "shape": [
                        192
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/BatchNorm/batchnorm/mul"
                },
                {
                    "shape": [
                        192
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        192,
                        32
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_5/project/Conv2D/merged_input"
                },
                {
                    "shape": [
                        32
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_4/project/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        32,
                        192
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Conv2D/merged_input"
                },
                {
                    "shape": [
                        192
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        3,
                        3,
                        192,
                        1
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise_weights"
                },
                {
                    "shape": [
                        192
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/BatchNorm/batchnorm/mul"
                },
                {
                    "shape": [
                        192
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        192,
                        32
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_4/project/Conv2D/merged_input"
                },
                {
                    "shape": [
                        24
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_2/project/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        24,
                        144
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/Conv2D/merged_input"
                },
                {
                    "shape": [
                        144
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        3,
                        3,
                        144,
                        1
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/depthwise_weights"
                },
                {
                    "shape": [
                        144
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/BatchNorm/batchnorm/mul"
                },
                {
                    "shape": [
                        144
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        144,
                        24
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_2/project/Conv2D/merged_input"
                },
                {
                    "shape": [],
                    "dtype": "float32",
                    "name": "Preprocessor/mul/x"
                },
                {
                    "shape": [],
                    "dtype": "int32",
                    "name": "Preprocessor/map/TensorArrayStack/range/start"
                },
                {
                    "shape": [],
                    "dtype": "float32",
                    "name": "Preprocessor/sub/y"
                },
                {
                    "shape": [
                        3,
                        3,
                        3,
                        32
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/Conv/Conv2D/merged_input"
                },
                {
                    "shape": [
                        32
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/Conv/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        3,
                        3,
                        32,
                        1
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/depthwise_weights"
                },
                {
                    "shape": [
                        32
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/BatchNorm/batchnorm/mul"
                },
                {
                    "shape": [
                        32
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        32,
                        16
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv/project/Conv2D/merged_input"
                },
                {
                    "shape": [
                        16
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv/project/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        16,
                        96
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/Conv2D/merged_input"
                },
                {
                    "shape": [
                        96
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        3,
                        3,
                        96,
                        1
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/depthwise_weights"
                },
                {
                    "shape": [
                        96
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/BatchNorm/batchnorm/mul"
                },
                {
                    "shape": [
                        96
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        96,
                        24
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_1/project/Conv2D/merged_input"
                },
                {
                    "shape": [
                        24
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_1/project/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        24,
                        144
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/Conv2D/merged_input"
                },
                {
                    "shape": [
                        144
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        3,
                        3,
                        144,
                        1
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/depthwise_weights"
                },
                {
                    "shape": [
                        144
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/BatchNorm/batchnorm/mul"
                },
                {
                    "shape": [
                        144
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        144,
                        32
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_3/project/Conv2D/merged_input"
                },
                {
                    "shape": [
                        32
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_3/project/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        32,
                        192
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/Conv2D/merged_input"
                },
                {
                    "shape": [
                        192
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        3,
                        3,
                        192,
                        1
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/depthwise_weights"
                },
                {
                    "shape": [
                        192
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/BatchNorm/batchnorm/mul"
                },
                {
                    "shape": [
                        192
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        192,
                        64
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_6/project/Conv2D/merged_input"
                },
                {
                    "shape": [
                        64
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_6/project/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        64,
                        384
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/Conv2D/merged_input"
                },
                {
                    "shape": [
                        384
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        3,
                        3,
                        384,
                        1
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/depthwise_weights"
                },
                {
                    "shape": [
                        384
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/BatchNorm/batchnorm/mul"
                },
                {
                    "shape": [
                        384
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        384,
                        96
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_10/project/Conv2D/merged_input"
                },
                {
                    "shape": [
                        96
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_10/project/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        96,
                        576
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/Conv2D/merged_input"
                },
                {
                    "shape": [
                        576
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        3,
                        3,
                        576,
                        1
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/depthwise_weights"
                },
                {
                    "shape": [
                        576
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/BatchNorm/batchnorm/mul"
                },
                {
                    "shape": [
                        576
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        576,
                        160
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_13/project/Conv2D/merged_input"
                },
                {
                    "shape": [
                        160
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_13/project/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        160,
                        960
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/Conv2D/merged_input"
                },
                {
                    "shape": [
                        960
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        3,
                        3,
                        960,
                        1
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/depthwise_weights"
                },
                {
                    "shape": [
                        960
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/BatchNorm/batchnorm/mul"
                },
                {
                    "shape": [
                        960
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        960,
                        320
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_16/project/Conv2D/merged_input"
                },
                {
                    "shape": [
                        320
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/expanded_conv_16/project/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        320,
                        1280
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/Conv_1/Conv2D/merged_input"
                },
                {
                    "shape": [
                        1280
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/Conv_1/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        1280,
                        256
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/Conv2D/merged_input"
                },
                {
                    "shape": [
                        256
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        3,
                        3,
                        256,
                        1
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/depthwise_weights"
                },
                {
                    "shape": [
                        256
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/BatchNorm/batchnorm/mul"
                },
                {
                    "shape": [
                        256
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        256,
                        512
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/Conv2D/merged_input"
                },
                {
                    "shape": [
                        512
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        512,
                        128
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/Conv2D/merged_input"
                },
                {
                    "shape": [
                        128
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        3,
                        3,
                        128,
                        1
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/depthwise_weights"
                },
                {
                    "shape": [
                        128
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/BatchNorm/batchnorm/mul"
                },
                {
                    "shape": [
                        128
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        128,
                        256
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/Conv2D/merged_input"
                },
                {
                    "shape": [
                        256
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        256,
                        128
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/Conv2D/merged_input"
                },
                {
                    "shape": [
                        128
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        3,
                        3,
                        128,
                        1
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/depthwise_weights"
                },
                {
                    "shape": [
                        128
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/BatchNorm/batchnorm/mul"
                },
                {
                    "shape": [
                        128
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        128,
                        256
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/Conv2D/merged_input"
                },
                {
                    "shape": [
                        256
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        256,
                        64
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/Conv2D/merged_input"
                },
                {
                    "shape": [
                        64
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        3,
                        3,
                        64,
                        1
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/depthwise_weights"
                },
                {
                    "shape": [
                        64
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/BatchNorm/batchnorm/mul"
                },
                {
                    "shape": [
                        64
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1,
                        1,
                        64,
                        128
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/Conv2D/merged_input"
                },
                {
                    "shape": [
                        128
                    ],
                    "dtype": "float32",
                    "name": "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/BatchNorm/batchnorm/sub"
                },
                {
                    "shape": [
                        1
                    ],
                    "dtype": "int32",
                    "name": "Postprocessor/strided_slice/stack"
                },
                {
                    "shape": [
                        1
                    ],
                    "dtype": "int32",
                    "name": "Postprocessor/strided_slice/stack_1"
                },
                {
                    "shape": [],
                    "dtype": "int32",
                    "name": "BoxPredictor_5/stack/1"
                },
                {
                    "shape": [],
                    "dtype": "int32",
                    "name": "BoxPredictor_0/stack_1/2"
                },
                {
                    "shape": [],
                    "dtype": "int32",
                    "name": "Postprocessor/Tile/multiples/1"
                },
                {
                    "shape": [
                        3
                    ],
                    "dtype": "int32",
                    "name": "Postprocessor/Slice/begin"
                },
                {
                    "shape": [
                        3
                    ],
                    "dtype": "int32",
                    "name": "Postprocessor/Slice/size"
                },
                {
                    "shape": [],
                    "dtype": "int32",
                    "name": "Preprocessor/map/while/ResizeImage/ExpandDims/dim"
                },
                {
                    "shape": [
                        2
                    ],
                    "dtype": "int32",
                    "name": "Preprocessor/map/while/ResizeImage/stack"
                },
                {
                    "shape": [],
                    "dtype": "int32",
                    "name": "Preprocessor/map/while/add/y"
                },
                {
                    "shape": [
                        2
                    ],
                    "dtype": "int32",
                    "name": "Postprocessor/Decode/transpose/sub_1"
                },
                {
                    "shape": [
                        2
                    ],
                    "dtype": "int32",
                    "name": "Postprocessor/Decode/get_center_coordinates_and_sizes/transpose/sub_1"
                },
                {
                    "shape": [
                        2
                    ],
                    "dtype": "int32",
                    "name": "Postprocessor/Decode/transpose_1/sub_1"
                }
            ],
            "paths": [
                "group1-shard1of5",
                "group1-shard2of5",
                "group1-shard3of5",
                "group1-shard4of5",
                "group1-shard5of5"
            ]
        }
    ]
}