modeci_mdf.functions.onnx.hardsigmoid

modeci_mdf.functions.onnx.hardsigmoid(*args, **kwargs)

HardSigmoid takes one input data (Tensor<T>) and produces one output data (Tensor<T>) where the HardSigmoid function, y = max(0, min(1, alpha * x + beta)), is applied to the tensor elementwise.