.. _l-onnx-doc-ParametricSoftplus: ================== ParametricSoftplus ================== .. contents:: :local: .. _l-onnx-op-parametricsoftplus-1: ParametricSoftplus - 1 ====================== **Version** * **name**: `ParametricSoftplus (GitHub) `_ * **domain**: **main** * **since_version**: **1** * **function**: * **support_level**: * **shape inference**: This version of the operator has been available **since version 1**. **Summary** ParametricSoftplus takes one input data (Tensor) and produces one output data (Tensor) where the softplus function, y = alpha * ln(exp(beta * x) + 1), is applied to the tensor elementwise. **Attributes** * **alpha**: Value of alpha Default value is ``?``. * **beta**: Value of beta Default value is ``?``. **Inputs** * **X** (heterogeneous) - **T**: 1D input tensor **Outputs** * **Y** (heterogeneous) - **T**: 1D input tensor **Examples**