.. _op_ai_onnx_ThresholdedRelu:

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
---------------

- :doc:`Version 10 <ThresholdedRelu-10>`