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【PaddlePaddle Hackathon 2】24、为 Paddle 新增 nn.ChannelShuffle 组网 API #4501

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merged 6 commits into from
Apr 24, 2022
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【PaddlePaddle Hackathon 2】24、为 Paddle 新增 nn.ChannelShuffle 组网 API #4501

merged 6 commits into from
Apr 24, 2022

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BrilliantYuKaimin
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@BrilliantYuKaimin BrilliantYuKaimin commented Apr 8, 2022

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

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paddle-bot-old bot commented Apr 8, 2022

Thanks for your contribution!

RichardWooSJTU pushed a commit to RichardWooSJTU/docs that referenced this pull request Apr 8, 2022
@dingjiaweiww dingjiaweiww self-requested a review April 12, 2022 03:37
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。
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image

「:」--> 「-」

注意标点符号的正确使用~ 参考文档

# [[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,文档参考

- **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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LGTM

@Ligoml Ligoml merged commit 9e8b71c into PaddlePaddle:develop Apr 24, 2022
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3 participants