.. _op_ai_onnx_ml_ArrayFeatureExtractor:

ArrayFeatureExtractor
=====================

- **Domain**: ``ai.onnx.ml``
- **Since version**: 1

Select elements of the input tensor based on the indices passed. 
The indices are applied to the last axes of the tensor.

**Inputs**

- **X** (*T*): Data to be selected
- **Y** (*tensor(int64)*): The indices, based on 0 as the first index of any dimension.

**Outputs**

- **Z** (*T*): Selected output data as an array

**Type Constraints**

- **T**: The input must be a tensor of a numeric type or string. The output will be of the same tensor type.
  Allowed types: tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(string).

Examples
--------

**test_ai_onnx_ml_array_feature_extractor**

.. code-block:: text

    Node:
      ai.onnx.ml.ArrayFeatureExtractor(x, y) -> (z)

.. code-block:: text

    Inputs:
      x: shape=(3, 4), dtype=float32
        [[ 0.,  1.,  2.,  3.],
         [10., 11., 12., 13.],
         [20., 21., 22., 23.]]
      y: shape=(3,), dtype=int64
        [0, 2, 3]

    Outputs:
      z: shape=(3, 3), dtype=float32
        [[ 0.,  2.,  3.],
         [10., 12., 13.],
         [20., 22., 23.]]