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

PyTorch like deep learning inferrence library

import { UnaryNode } from './unaryNode';
export class TanNode extends UnaryNode {
    constructor(attributes, inputs, outputs, constants, onnxVersion, mode) {
        super(attributes, inputs, outputs, constants, onnxVersion, 'Tan', mode);
    }
    compute(x) {
        return x.tan();
    }
}
export class ATanNode extends UnaryNode {
    constructor(attributes, inputs, outputs, constants, onnxVersion, mode) {
        super(attributes, inputs, outputs, constants, onnxVersion, 'Atan', mode);
    }
    compute(x) {
        return x.atan();
    }
}
export class TanHNode extends UnaryNode {
    constructor(attributes, inputs, outputs, constants, onnxVersion, mode) {
        super(attributes, inputs, outputs, constants, onnxVersion, 'TanH', mode);
    }
    compute(x) {
        return x.tanh();
    }
}
export class ATanHNode extends UnaryNode {
    constructor(attributes, inputs, outputs, constants, onnxVersion, mode) {
        super(attributes, inputs, outputs, constants, onnxVersion, 'ATanH', mode);
    }
    compute(x) {
        return x.atanh();
    }
}
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