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

PyTorch like deep learning inferrence library

import { UnaryNode } from './unaryNode';
export class HardSigmoidNode extends UnaryNode {
    constructor(attributes, inputs, outputs, constants, onnxVersion, mode) {
        super(attributes, inputs, outputs, constants, onnxVersion, 'HardSigmoid', mode);
        this.alpha = this.getAttributeFloat('alpha') || 0.2;
        this.beta = this.getAttributeFloat('beta') || 0.5;
    }
    compute(x) {
        return x.hardSigmoid(this.alpha, this.beta);
    }
}
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