@hoff97/tensor-js/dist/lib/onnx/nodes/unary/sin.d.ts

PyTorch like deep learning inferrence library

import { Mode } from '../../../model/module';
import Tensor, { DType } from '../../../types';
import { Attributes, Constants } from '../../types';
import { UnaryNode } from './unaryNode';
export declare class SinNode extends UnaryNode {
    constructor(attributes: Attributes, inputs: string[], outputs: string[], constants: Constants, onnxVersion: number, mode: Mode);
    compute<DTpe extends DType>(x: Tensor<DTpe>): Tensor<DTpe>;
}
export declare class ASinNode extends UnaryNode {
    constructor(attributes: Attributes, inputs: string[], outputs: string[], constants: Constants, onnxVersion: number, mode: Mode);
    compute<DTpe extends DType>(x: Tensor<DTpe>): Tensor<DTpe>;
}
export declare class SinHNode extends UnaryNode {
    constructor(attributes: Attributes, inputs: string[], outputs: string[], constants: Constants, onnxVersion: number, mode: Mode);
    compute<DTpe extends DType>(x: Tensor<DTpe>): Tensor<DTpe>;
}
export declare class ASinHNode extends UnaryNode {
    constructor(attributes: Attributes, inputs: string[], outputs: string[], constants: Constants, onnxVersion: number, mode: Mode);
    compute<DTpe extends DType>(x: Tensor<DTpe>): Tensor<DTpe>;
}