.. _op_ai_onnx_HammingWindow:

HammingWindow
=============

- **Domain**: ``ai.onnx``
- **Since version**: 17

Generates a Hamming window as described in the paper https://ieeexplore.ieee.org/document/1455106.

**Inputs**

- **size** (*T1*): A scalar value indicating the length of the window.

**Outputs**

- **output** (*T2*): A Hamming window with length: size. The output has the shape: [size].

**Type Constraints**

- **T1**: Constrain the input size to int32_t or int64_t.
  Allowed types: tensor(int32), tensor(int64).
- **T2**: Constrain output types to 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_hammingwindow**

.. code-block:: text

    Node:
      HammingWindow(x) -> (y)

.. code-block:: text

    Inputs:
      x: shape=(), dtype=int32
        10

    Outputs:
      y: shape=(10,), dtype=float32
        [0.08695652, 0.17414442, 0.4024053 , 0.68455124, 0.9128121 , 1.        ,
         0.9128121 , 0.68455124, 0.4024053 , 0.17414442]

**test_cc_hammingwindow_symmetric**

.. code-block:: text

    Node:
      HammingWindow(x) -> (y)
      Attributes:
        periodic = 0

.. code-block:: text

    Inputs:
      x: shape=(), dtype=int32
        10

    Outputs:
      y: shape=(10,), dtype=float32
        [0.08695652, 0.19376232, 0.4642041 , 0.7717391 , 0.9724684 , 0.9724684 ,
         0.7717391 , 0.4642041 , 0.19376232, 0.08695652]