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revert docs/api/paddle/nn/functional/pixel_shuffle_cn.rst
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docs/api/paddle/nn/functional/pixel_shuffle_cn.rst

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将一个形为 :math:`[N, C, H, W]` 或 :math:`[N, H, W, C]` 的 Tensor 重新排列成形为 :math:`[N, C/r^2, H \times r, W \times r]` 或 :math:`[N, H \times r, W \times 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>`_ 。
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.. note::
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详细请参考对应的 ``Class`` 请参考::ref:`cn_api_paddle_nn_PixelShuffle` 。
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详细请参考对应的 `Class` 请参考::ref:`cn_api_paddle_nn_PixelShuffle` 。
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参数
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