:nosearch:

.. _op_ai_onnx_Pad-1:

Pad - version 1
===============

This page documents version **1** of operator **Pad**. See :doc:`Pad` for the latest version (since version 25).

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

Given ``data`` tensor, paddings, mode, and value.
Example:

.. code-block:: text

    Insert 0 paddings to the beginning of the second dimension.
    data = [
        [1.0, 1.2],
        [2.3, 3.4],
        [4.5, 5.7],
    ]
    paddings = [0, 0, 2, 0]
    output = [
        [
            [0.0, 0.0, 1.0, 1.2],
            [0.0, 0.0, 2.3, 3.4],
            [0.0, 0.0, 4.5, 5.7],
        ],
    ]


**Inputs**

- **data** (*T*): Input tensor.

**Outputs**

- **output** (*T*): Tensor after padding.

**Attributes**

- **mode** (*string*): Three modes: constant(default), reflect, edge
- **paddings** (*int[]*): List of integers indicate the padding element count at the beginning and end of each axis, for 2D it is the number of pixel. ``paddings`` rank should be double of the input's rank. ``paddings`` format should be as follow [x1_begin, x2_begin...x1_end, x2_end,...], where xi_begin the number of pixels added at the beginning of axis ``i`` and xi_end, the number of pixels added at the end of axis ``i``.
- **value** (*float*): One float, indicates the value to be filled, default is 0

**Type Constraints**

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