ThresholdedRelu#

  • Domain: ai.onnx

  • Since version: 22

ThresholdedRelu takes one input data (Tensor ) and produces one output data (Tensor ) where the rectified linear function, y = x for x > alpha, y = 0 otherwise, is applied to the tensor elementwise.

Inputs

  • X (T): Input tensor

Outputs

  • Y (T): Output tensor

Attributes

  • alpha (float): Threshold value

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 (10)#

SchemaDiff: ThresholdedRelu (domain 'ai.onnx')

  • old version: 10

  • new version: 22

  • breaking: no

Type constraints:

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

Version History#