.. _op_ai_onnx_Abs:

Abs
===

- **Domain**: ``ai.onnx``
- **Since version**: 13

Absolute takes one input data (Tensor ) and produces one output data
(Tensor ) where absolute value, y = abs(x), 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 all numeric tensors.
  Allowed types: tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8).

Examples
--------

**test_cc_abs**

.. code-block:: text

    Inputs:
      x: shape=(2, 3), dtype=float32
        [[-1.  ,  0.  ,  1.5 ],
         [-2.25,  3.5 , -4.75]]

    Outputs:
      y: shape=(2, 3), dtype=float32
        [[1.  , 0.  , 1.5 ],
         [2.25, 3.5 , 4.75]]

Differences with previous version (6)
-------------------------------------

**SchemaDiff**: ``Abs`` (domain ``'ai.onnx'``)

* old version: 6
* new version: 13
* breaking: no

**Type constraints:**

* changed 'T': added types: ['tensor(bfloat16)']

Version History
---------------

- :doc:`Version 6 <Abs-6>`
- :doc:`Version 1 <Abs-1>`