.. _op_ai_onnx_ArgMin-12:

ArgMin - version 12
===================

This page documents version **12** of operator **ArgMin**. See :doc:`ArgMin` for the latest version (since version 13).

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

Computes the indices of the min elements of the input tensor's element along the provided axis.
The resulting tensor has the same rank as the input if keepdims equals 1.
If keepdims equals 0, then the resulting tensor has the reduced dimension pruned.
If select_last_index is True (default False), the index of the last occurrence of the min is selected if the min appears more than once in the input. Otherwise the index of the first occurrence is selected.
The type of the output tensor is integer.

**Inputs**

- **data** (*T*): An input tensor.

**Outputs**

- **reduced** (*tensor(int64)*): Reduced output tensor with integer data type.

**Type Constraints**

- **T**: Constrain input and output types to all numeric tensors.
  Allowed types: 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 (11)
--------------------------------------

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

* old version: 11
* new version: 12
* breaking: no

**Documentation:**

* line similarity: 0.60 (+2/-2 lines)

.. code-block:: diff

    --- ArgMin v11
    +++ ArgMin v12
    @@ -1,5 +1,5 @@
     Computes the indices of the min elements of the input tensor's element along the provided axis.
     The resulting tensor has the same rank as the input if keepdims equals 1.
    -If keepdims equal 0, then the resulting tensor has the reduced dimension pruned.
    -The input tensor must not be empty.
    +If keepdims equals 0, then the resulting tensor has the reduced dimension pruned.
    +If select_last_index is True (default False), the index of the last occurrence of the min is selected if the min appears more than once in the input. Otherwise the index of the first occurrence is selected.
     The type of the output tensor is integer.