import { AutoFunction, FunctionInput, GradientContext, GradientFunctionOutput } from "./autograd";
import type { Tensor } from "./tensor";
export declare class AbsFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class AcosFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class AcoshFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class AddFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class AsinFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class AsinhFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class AtanFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class Atan2Function extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class CeilFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class CopysignFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class CosFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class CoshFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class Deg2radFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class DivFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class ExpFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class Exp2Function extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class Expm1Function extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class FloorFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class FracFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class HypotFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class LdexpFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class LogFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class Log10Function extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class Log1pFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class Log2Function extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class LogaddexpFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class Logaddexp2Function extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class MulFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class NegFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class PositiveFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class PowFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class Rad2degFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class ReciprocalFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class ReluFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class RoundFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class RsqrtFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class SigmoidFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class SignFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class SiluFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class SinFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class SincFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class SinhFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class SqrtFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class SquareFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class SubFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class TanFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class TanhFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class TruncFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class XlogyFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class AllFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class AnyFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class MeanFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class NormFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class ProdFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class SumFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}
export declare class CountNonzeroFunction extends AutoFunction {
    static forward(inputs: FunctionInput[]): Tensor;
    static setupContext(ctx: GradientContext, inputs: FunctionInput[], output: Tensor): void;
    static backward(ctx: GradientContext, outputGrad: Tensor): GradientFunctionOutput[];
}