:nosearch:

.. _op_ai_onnx_HardSwish-14:

HardSwish - version 14
======================

This page documents version **14** of operator **HardSwish**. See :doc:`HardSwish` for the latest version (since version 22).

- **Domain**: ``ai.onnx``
- **Since version**: 14

HardSwish takes one input data (Tensor ) and produces one output data (Tensor ) where
the HardSwish function, y = x \* max(0, min(1, alpha \* x + beta)) = x \* HardSigmoid (x),
where alpha = 1/6 and beta = 0.5, is applied to the tensor elementwise.

**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).