:nosearch:

.. _op_ai_onnx_Celu-12:

Celu - version 12
=================

This page documents version **12** of operator **Celu**. See :doc:`Celu` for the latest version (since version 28).

- **Domain**: ``ai.onnx``
- **Since version**: 12

Continuously Differentiable Exponential Linear Units:
Perform the linear unit element-wise on the input tensor X
using formula:

.. code-block::

    max(0,x) + min(0,alpha*(exp(x/alpha)-1))


**Inputs**

- **X** (*T*): Input tensor

**Outputs**

- **Y** (*T*): Output tensor

**Attributes**

- **alpha** (*float*): The Alpha value in Celu formula which control the shape of the unit. The default value is 1.0.

**Type Constraints**

- **T**: Constrain input and output types to float32 tensors.
  Allowed types: tensor(float).

Examples
--------

**test_cc_celu**

.. code-block:: text

    Node:
      Celu(X) -> (Y)
      Attributes:
        alpha = 2.0

.. code-block:: text

    Inputs:
      X: shape=(2, 3), dtype=float32
        [[-3., -1.,  0.],
         [ 1.,  2.,  3.]]

    Outputs:
      Y: shape=(2, 3), dtype=float32
        [[-1.5537397 , -0.78693867,  0.        ],
         [ 1.        ,  2.        ,  3.        ]]

**test_cc_celu_default**

.. code-block:: text

    Node:
      Celu(X) -> (Y)

.. code-block:: text

    Inputs:
      X: shape=(2, 3), dtype=float32
        [[-3., -1.,  0.],
         [ 1.,  2.,  3.]]

    Outputs:
      Y: shape=(2, 3), dtype=float32
        [[-0.95021296, -0.63212055,  0.        ],
         [ 1.        ,  2.        ,  3.        ]]