【PaddlePaddle Hackathon 2】24、为 Paddle 新增 nn.ChannelShuffle 组网 API #4501
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dingjiaweiww
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| 形状 | ||
| ::::::::: | ||
| - **x** (Tensor): 默认形状为 (批大小，通道数，高度，宽度)，即NCHW格式的4-D Tensor。其数据类型为float32, float64； | ||
| - **output** (Tensor): 其形状与数据类型均和输入相同。 |
| # [[0.40000001]], | ||
| # [[0.10000000]], | ||
| # [[0.30000001]], | ||
| # [[0.50000000]]]] |
| - **x** (Tensor): 当前算子的输入，其是一个形状为 `[N, C, H, W]` 的4-D Tensor。其中 `N` 是batch size，`C` 是通道数，`H` 是输入特征的高度，`W` 是输入特征的宽度。其数据类型为float32或者float64； | ||
| - **groups** (int): 要把通道分成的组数； | ||
| - **data_format** (str，可选): 数据格式，可选: "NCHW"或"NHWC"，默认: "NCHW"； | ||
| - **name** (str，可选): 操作的名称(可选，默认值为None)。更多信息请参见 :ref:`api_guide_Name`。 |
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同ChannelShuffle，「:」--> 「-」
| # [[0.40000001]], | ||
| # [[0.10000000]], | ||
| # [[0.30000001]], | ||
| # [[0.50000000]]]] |
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代码示例建议使用copy-from的方式，保持和英文的一致
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增加nn.ChannelShuffle和nn.functional.channel_shuffle说明文档。
该算子实现的PR为PaddlePaddle/Paddle#40743
PADDLEPADDLE_PR=40743