Created by: shippingwang

PR types

New features

PR changes

APIs

Describe

This PR

• add adaptive max pooling 2d 3d function
• Uniform paddle pooling function, extract common function 1. _update_padding_nd which is consistent with conv function, 2. _expand_low_nd_padding to implement low dimension function by calling high dimension function(unsqueeze nd to n+1 d)
• solve #26331 and #26369 problem
  • fix typo
  • uniform name and order
  • add deprecated fluid function
  • add Shape field in layer/pooling.py
  • add ref link in functional/pooling.py
  • use x instead of input, out instead of output
• uniform padding description, which is consistent with conv function. Example:

padding (string|int|list|tuple): The padding size. Padding could be in one of the following fo rms.
1. A string in ['valid', 'same'].
2. An int, which means the feature map is zero-padded by the size of `padding` on every side.
3. A list[int] or tuple(int) whose length is 1, which means the feature map is zero-padded by the size of `padding[0]` on every side.
4. A list[int] or tuple(int) whose length is 2. It has the form [pad_before, pad_after].
5. A list or tuple of pairs of integers. It has the form [[pad_before, pad_after], [pad_before, pad_after], ...]. Note that, the batch dimension and channel dimension should be [0,0] or (0,0).
he default value is 0.

• support padding both front and back in 1d function, although it is NOT consistent with PyTorch, It is same as PaddlePaddle conv 1d function and other pooling Nd functions.
• separate adaptive 1/2/3d max/avg unittest