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【Hackathon 7th No.31】NO.31 为 paddle.sparse.sparse_csr_tensor进行功能增强 #6876

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paddle-bot bot commented Sep 18, 2024

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-6876.paddle-docs-preview.paddlepaddle.org.cn/documentation/docs/zh/api/index_cn.html
预览工具的更多说明,请参考:飞桨文档预览工具

| crow_indices | crows | 每行第一个非零元素在 values 的起始位置,仅参数名不一致。 |
| col_indices | cols | 一维数组,存储每个非零元素的列信息,仅参数名不一致。 |
| values | values | 一维数组,存储非零元素。 |
| size | shape | 稀疏 Tensor 的形状,仅参数名不一致。 |
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验证一下,这个自动推导的结果与Pytorch是完全一致的

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验证过了的

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然后paddle和pytorch不同的是,paddle是只能一维向量,pytorch是多维向量

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所以paddle在切割一维向量后,需要判断每个子向量包含的数字个数是不是相同的

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然后paddle和pytorch不同的是,paddle是只能一维向量,pytorch是多维向量

什么是一维向量,没看明白差异。

要从torch角度往paddle看,torch的所有用法情况都可以被paddle覆盖,则视为一致,即使paddle有更多功能也不用管

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是指输入的参数维度

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稍等,我给个例子

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image

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而在paddle中,输入是这样的
image

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CLAassistant commented Sep 18, 2024

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