update PixelShuffle api #5192
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update PixelShuffle api #5192
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感谢你贡献飞桨文档，文档预览构建中，Docs-New 跑完后即可预览，预览链接：http://preview-pr-5192.paddle-docs-preview.paddlepaddle.org.cn/documentation/docs/zh/api/index_cn.html |
SigureMo
requested changes
Aug 26, 2022
| 给定一个形为 x.shape = [1, 9, 4, 4] 的 4-D 张量 | ||
| 设定：upscale_factor=3 | ||
| 那么输出张量的形为：[1, 1, 12, 12] | ||
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上面那些 shape 的描述可以参考 PixelUnshuffle 改成 :math:`xxx`，
明显 PixelUnshuffle 好看很多
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下同（nn.functional.pixel_shuffle）
SigureMo
requested changes
Aug 26, 2022
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| .. py:function:: paddle.nn.PixelShuffle(upscale_factor, data_format="NCHW", name=None) | ||
| 该算子将一个形为[N, C, H, W]或是[N, H, W, C]的 Tensor 重新排列成形为 [N, C/r**2, H*r, W*r]或 [N, H*r, W*r, C/r**2] 的 Tensor。这样做有利于实现步长（stride）为 1/r 的高效 sub-pixel（亚像素）卷积。详见 Shi 等人在 2016 年发表的论文 `Real Time Single Image and Video Super Resolution Using an Efficient Sub Pixel Convolutional Neural Network <https://arxiv.org/abs/1609.05158v2>`_ 。 | ||
| 该算子将一个形为 :math:`[N, C, H, W]` 或是 :math:`[N, H, W, C]` 的 Tensor 重新排列成形为 :math:`[N, C/r**2, H*r, W*r]` 或 :math:`[N, H*r, W*r, C/r**2]` 的 Tensor。这样做有利于实现步长（stride）为 :math:`1/r` 的高效 sub-pixel（亚像素）卷积。详见 Shi 等人在 2016 年发表的论文 `Real Time Single Image and Video Super Resolution Using an Efficient Sub Pixel Convolutional Neural Network <https://arxiv.org/abs/1609.05158v2>`_ 。 |
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LaTeX 里用 a^b 表示乘方而不是 a**b，用 a \times b 或者直接不写表示乘，而不是 a*b，英文同
另外 functional 下的没改，英文同
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改的部分都ok，另外还有几个API的参数没加粗，一起改了吧~
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HermitSun
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Aug 31, 2022
* update PixelShuffle api * udpate format issue * update format issue * udpate format issue * copy-from RReLU Co-authored-by: Ligoml <39876205+Ligoml@users.noreply.github.com>
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fix some format issue
PADDLEPADDLE_PR=45423
PADDLEPADDLE_PR : PaddlePaddle/Paddle#45423