Selu#

  • Domain: ai.onnx

  • Since version: 22

Selu takes one input data (Tensor ) and produces one output data (Tensor ) where the scaled exponential linear unit function, y = gamma * (alpha * e^x - alpha) for x   0, is applied to the tensor elementwise.

Inputs

  • X (T): Input tensor

Outputs

  • Y (T): Output tensor

Attributes

  • alpha (float): Coefficient of SELU default to 1.67326319217681884765625 (i.e., float32 approximation of 1.6732632423543772848170429916717).

  • gamma (float): Coefficient of SELU default to 1.05070102214813232421875 (i.e., float32 approximation of 1.0507009873554804934193349852946).

Type Constraints

  • T: Constrain input and output types to float tensors. Allowed types: tensor(bfloat16), tensor(double), tensor(float), tensor(float16).

Differences with previous version (6)#

SchemaDiff: Selu (domain 'ai.onnx')

  • old version: 6

  • new version: 22

  • breaking: no

Type constraints:

  • changed ‘T’: added types: [‘tensor(bfloat16)’]

Version History#