Sigmoid - version 1#

This page documents version 1 of operator Sigmoid. See Sigmoid for the latest version (since version 13).

  • Domain: ai.onnx

  • Since version: 1

Sigmoid takes one input data (Tensor ) and produces one output data (Tensor ) where the sigmoid function, y = 1 / (1 + exp(-x)), is applied to the tensor element-wise.

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).