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

PyTorch like deep learning inferrence library

import { UnaryNode } from './unaryNode';
export class SinNode extends UnaryNode {
    constructor(attributes, inputs, outputs, constants, onnxVersion, mode) {
        super(attributes, inputs, outputs, constants, onnxVersion, 'Sin', mode);
    }
    compute(x) {
        return x.sin();
    }
}
export class ASinNode extends UnaryNode {
    constructor(attributes, inputs, outputs, constants, onnxVersion, mode) {
        super(attributes, inputs, outputs, constants, onnxVersion, 'Asin', mode);
    }
    compute(x) {
        return x.asin();
    }
}
export class SinHNode extends UnaryNode {
    constructor(attributes, inputs, outputs, constants, onnxVersion, mode) {
        super(attributes, inputs, outputs, constants, onnxVersion, 'Sinh', mode);
    }
    compute(x) {
        return x.sinh();
    }
}
export class ASinHNode extends UnaryNode {
    constructor(attributes, inputs, outputs, constants, onnxVersion, mode) {
        super(attributes, inputs, outputs, constants, onnxVersion, 'Asinh', mode);
    }
    compute(x) {
        return x.asinh();
    }
}
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