Sigmoid - version 6#
This page documents version 6 of operator Sigmoid. See Sigmoid for the latest version (since version 13).
Domain:
ai.onnxSince version: 6
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).
Differences with previous version (1)#
SchemaDiff: Sigmoid (domain 'ai.onnx')
old version: 1
new version: 6
breaking: no