import { TypedTensorUtils } from './tensor-utils';
/**
 * represent a basic tensor with specified dimensions and data type.
 */
interface TypedTensorBase<T extends Tensor.Type> {
    /**
     * Get the dimensions of the tensor.
     */
    readonly dims: readonly number[];
    /**
     * Get the data type of the tensor.
     */
    readonly type: T;
    /**
     * Get the buffer data of the tensor.
     */
    readonly data: Tensor.DataTypeMap[T];
}
export declare namespace Tensor {
    interface DataTypeMap {
        float32: Float32Array;
        uint8: Uint8Array;
        int8: Int8Array;
        uint16: Uint16Array;
        int16: Int16Array;
        int32: Int32Array;
        int64: BigInt64Array;
        string: string[];
        bool: Uint8Array;
        float16: never;
        float64: Float64Array;
        uint32: Uint32Array;
        uint64: BigUint64Array;
    }
    interface ElementTypeMap {
        float32: number;
        uint8: number;
        int8: number;
        uint16: number;
        int16: number;
        int32: number;
        int64: bigint;
        string: string;
        bool: boolean;
        float16: never;
        float64: number;
        uint32: number;
        uint64: bigint;
    }
    type DataType = DataTypeMap[Type];
    type ElementType = ElementTypeMap[Type];
    /**
     * represent the data type of a tensor
     */
    type Type = keyof DataTypeMap;
}
/**
 * Represent multi-dimensional arrays to feed to or fetch from model inferencing.
 */
export interface TypedTensor<T extends Tensor.Type> extends TypedTensorBase<T>, TypedTensorUtils<T> {
}
/**
 * Represent multi-dimensional arrays to feed to or fetch from model inferencing.
 */
export interface Tensor extends TypedTensorBase<Tensor.Type>, TypedTensorUtils<Tensor.Type> {
}
export interface TensorConstructor {
    /**
     * Construct a new string tensor object from the given type, data and dims.
     *
     * @param type - Specify the element type.
     * @param data - Specify the tensor data
     * @param dims - Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.
     */
    new (type: 'string', data: Tensor.DataTypeMap['string'] | readonly string[], dims?: readonly number[]): TypedTensor<'string'>;
    /**
     * Construct a new bool tensor object from the given type, data and dims.
     *
     * @param type - Specify the element type.
     * @param data - Specify the tensor data
     * @param dims - Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.
     */
    new (type: 'bool', data: Tensor.DataTypeMap['bool'] | readonly boolean[], dims?: readonly number[]): TypedTensor<'bool'>;
    /**
     * Construct a new numeric tensor object from the given type, data and dims.
     *
     * @param type - Specify the element type.
     * @param data - Specify the tensor data
     * @param dims - Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.
     */
    new <T extends Exclude<Tensor.Type, 'string' | 'bool'>>(type: T, data: Tensor.DataTypeMap[T] | readonly number[], dims?: readonly number[]): TypedTensor<T>;
    /**
     * Construct a new float32 tensor object from the given data and dims.
     *
     * @param data - Specify the tensor data
     * @param dims - Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.
     */
    new (data: Float32Array, dims?: readonly number[]): TypedTensor<'float32'>;
    /**
     * Construct a new int8 tensor object from the given data and dims.
     *
     * @param data - Specify the tensor data
     * @param dims - Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.
     */
    new (data: Int8Array, dims?: readonly number[]): TypedTensor<'int8'>;
    /**
     * Construct a new uint8 tensor object from the given data and dims.
     *
     * @param data - Specify the tensor data
     * @param dims - Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.
     */
    new (data: Uint8Array, dims?: readonly number[]): TypedTensor<'uint8'>;
    /**
     * Construct a new uint16 tensor object from the given data and dims.
     *
     * @param data - Specify the tensor data
     * @param dims - Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.
     */
    new (data: Uint16Array, dims?: readonly number[]): TypedTensor<'uint16'>;
    /**
     * Construct a new int16 tensor object from the given data and dims.
     *
     * @param data - Specify the tensor data
     * @param dims - Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.
     */
    new (data: Int16Array, dims?: readonly number[]): TypedTensor<'int16'>;
    /**
     * Construct a new int32 tensor object from the given data and dims.
     *
     * @param data - Specify the tensor data
     * @param dims - Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.
     */
    new (data: Int32Array, dims?: readonly number[]): TypedTensor<'int32'>;
    /**
     * Construct a new int64 tensor object from the given data and dims.
     *
     * @param data - Specify the tensor data
     * @param dims - Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.
     */
    new (data: BigInt64Array, dims?: readonly number[]): TypedTensor<'int64'>;
    /**
     * Construct a new string tensor object from the given data and dims.
     *
     * @param data - Specify the tensor data
     * @param dims - Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.
     */
    new (data: readonly string[], dims?: readonly number[]): TypedTensor<'string'>;
    /**
     * Construct a new bool tensor object from the given data and dims.
     *
     * @param data - Specify the tensor data
     * @param dims - Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.
     */
    new (data: readonly boolean[], dims?: readonly number[]): TypedTensor<'bool'>;
    /**
     * Construct a new float64 tensor object from the given data and dims.
     *
     * @param data - Specify the tensor data
     * @param dims - Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.
     */
    new (data: Float64Array, dims?: readonly number[]): TypedTensor<'float64'>;
    /**
     * Construct a new uint32 tensor object from the given data and dims.
     *
     * @param data - Specify the tensor data
     * @param dims - Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.
     */
    new (data: Uint32Array, dims?: readonly number[]): TypedTensor<'uint32'>;
    /**
     * Construct a new uint64 tensor object from the given data and dims.
     *
     * @param data - Specify the tensor data
     * @param dims - Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.
     */
    new (data: BigUint64Array, dims?: readonly number[]): TypedTensor<'uint64'>;
    /**
     * Construct a new tensor object from the given type, data and dims.
     *
     * @param type - Specify the element type.
     * @param data - Specify the tensor data
     * @param dims - Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.
     */
    new (type: Tensor.Type, data: Tensor.DataType | readonly number[] | readonly boolean[], dims?: readonly number[]): Tensor;
    /**
     * Construct a new tensor object from the given data and dims.
     *
     * @param data - Specify the tensor data
     * @param dims - Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.
     */
    new (data: Tensor.DataType, dims?: readonly number[]): Tensor;
}
export declare const Tensor: TensorConstructor;
export {};