.. _op_ai_onnx_Div:

Div
===

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

Performs element-wise binary division (with Numpy-style broadcasting support).

This operator supports multidirectional (i.e., Numpy-style) broadcasting;
for more details please check the broadcasting behavior in ONNX.

For integer inputs, the result is computed using truncating division (rounding toward zero).

**Inputs**

- **A** (*T*): First operand.
- **B** (*T*): Second operand.

**Outputs**

- **C** (*T*): Result, has same element type as two inputs

**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).

Differences with previous version (13)
--------------------------------------

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

* old version: 13
* new version: 14
* breaking: no

**Type constraints:**

* changed 'T': added types: ['tensor(int16)', 'tensor(int8)', 'tensor(uint16)', 'tensor(uint8)']

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

- :doc:`Version 13 <Div-13>`
- :doc:`Version 7 <Div-7>`
- :doc:`Version 6 <Div-6>`
- :doc:`Version 1 <Div-1>`