[Docathon][Add API Legend No.19]+添加图例至paddle.scatter 英文文档 #69749
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你的PR提交成功，感谢你对开源项目的贡献! |
python/paddle/tensor/manipulation.py
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| @@ -4169,6 +4169,11 @@ def scatter( | |||
| **Scatter Layer** | |||
| Output is obtained by updating the input on selected indices based on updates. | |||
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| In the following figure, when overwrite is True, update the output of the same index using the overlay mode, in turn updating ``x[index[i]]`` to ``update[i]``; When overwrite is False, the output of the same index is updated using the summative mode, which first updates ``x[index[i]]`` to a Tensor of the same size as the row with values of 0. Add ``update[i]`` to ``x[index[i]]`` in turn to produce output. | |||
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感觉这块儿有点描述不够清晰，overlay好像挺少用的，in turn updating... 我一开始没看明白
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| In the following figure, when overwrite is True, update the output of the same index using the overlay mode, in turn updating ``x[index[i]]`` to ``update[i]``; When overwrite is False, the output of the same index is updated using the summative mode, which first updates ``x[index[i]]`` to a Tensor of the same size as the row with values of 0. Add ``update[i]`` to ``x[index[i]]`` in turn to produce output. | |
| As shown in the figure, when ``overwrite`` is set to ``True``, the output for the same index is updated in overwrite mode, where ``x[index[i]]`` is directly replaced with ``update[i]`` sequentially; When ``overwrite`` is set to ``False``, the output for the same index is updated in accumulation mode. In this mode, ``x[index[i]]`` is first initialized with elements set to 0. Then, ``update[i]`` is sequentially added to ``x[index[i]]`` to produce the output. |
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应该已经按照您的意见修改好并重新提交啦~
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PR Category
User Experience
PR Types
Docs
Description
update doc for scatter https://www.paddlepaddle.org.cn/documentation/docs/en/develop/api/paddle/scatter_en.html
中文文档的pull request PaddlePaddle/docs#6973
@sunzhongkai588 @luotao1 @FeixLiu