.. _op_ai_onnx_Det:

Det
===

- **Domain**: ``ai.onnx``
- **Since version**: 22

Det calculates determinant of a square matrix or batches of square matrices.
Det takes one input tensor of shape ``[*, M, M]``, where ``*`` is zero or more batch dimensions,
and the inner-most 2 dimensions form square matrices.
The output is a tensor of shape ``[*]``, containing the determinants of all input submatrices.
e.g., When the input is 2-D, the output is a scalar(shape is empty: ``[]``).

**Inputs**

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

**Outputs**

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

**Type Constraints**

- **T**: Constrain input and output types to floating-point tensors.
  Allowed types: tensor(bfloat16), tensor(double), tensor(float), tensor(float16).

Differences with previous version (11)
--------------------------------------

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

* old version: 11
* new version: 22
* breaking: no

**Type constraints:**

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

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

- :doc:`Version 11 <Det-11>`