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

PyTorch like deep learning inferrence library

import { UnaryNode } from './unaryNode';
export class CosNode extends UnaryNode {
    constructor(attributes, inputs, outputs, constants, onnxVersion, mode) {
        super(attributes, inputs, outputs, constants, onnxVersion, 'Cos', mode);
    }
    compute(x) {
        return x.cos();
    }
}
export class ACosNode extends UnaryNode {
    constructor(attributes, inputs, outputs, constants, onnxVersion, mode) {
        super(attributes, inputs, outputs, constants, onnxVersion, 'Acos', mode);
    }
    compute(x) {
        return x.acos();
    }
}
export class CosHNode extends UnaryNode {
    constructor(attributes, inputs, outputs, constants, onnxVersion, mode) {
        super(attributes, inputs, outputs, constants, onnxVersion, 'Cosh', mode);
    }
    compute(x) {
        return x.cosh();
    }
}
export class ACosHNode extends UnaryNode {
    constructor(attributes, inputs, outputs, constants, onnxVersion, mode) {
        super(attributes, inputs, outputs, constants, onnxVersion, 'AcosH', mode);
    }
    compute(x) {
        return x.acosh();
    }
}
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