Softplus - version 1#

This page documents version 1 of operator Softplus. See Softplus for the latest version (since version 22).

  • Domain: ai.onnx

  • Since version: 1

Softplus takes one input data (Tensor ) and produces one output data (Tensor ) where the softplus function, y = ln(exp(x) + 1), is applied to the tensor elementwise.

Inputs

  • X (T): Input tensor

Outputs

  • Y (T): Output tensor

Type Constraints

  • T: Constrain input and output types to float tensors. Allowed types: tensor(double), tensor(float), tensor(float16).