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[0-size Tensor No.81、138、141] Add 0-size Tensor support for blha_get_max_len by co63oc · Pull Request #72937 · PaddlePaddle/Paddle · GitHub
co63oc
changed the title
[0-size Tensor No.81] Add 0-size Tensor support for blha_get_max_len
[0-size Tensor No.81、138、141] Add 0-size Tensor support for blha_get_max_len
Jun 1, 2025
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[0-size Tensor No.81、138、141] Add 0-size Tensor support for blha_get_max_len #72937
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你的PR提交成功，感谢你对开源项目的贡献! |
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请增加下单测。不需要和np对比，只需要验证下0 size 作为输入时，输出的shape是否符合预期 |
已修改 |
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@DanielSun11 可以review了 |
DanielSun11
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May 29, 2025
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LGTM
|
@wanghuancoder 请留意下paddle/phi/kernels/fusion/gpu/blha_get_max_len.cu中所做的修改 |
co63oc
changed the title
This was referenced Jun 1, 2025
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CI不是修改代码错误 |
wanghuancoder
approved these changes
Jun 3, 2025
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LGTM 请 @luotao1 协调云飞参与Review
zyfncg
reviewed
Jun 3, 2025
| @@ -2854,6 +2854,11 @@ void NanmedianInferMeta(const MetaTensor& x, | |||
| } | |||
| median_index->set_dtype(DataType::INT64); | |||
| median_index->set_dims(make_ddim(median_dim)); | |||
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|||
| if (x.numel() == 0) { | |||
| out->set_dims(make_ddim({})); | |||
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维度为 {} 表示的是一个标量，这里用标量语义上是正确的吗？
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>>> import numpy as np
>>> np.nanmedian(np.random.random([2,0]))
nan
>>>
numpy测试是这样返回 @zyfncg
zyfncg
approved these changes
Jun 4, 2025
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PR Category
Execute Infrastructure
PR Types
Improvements
Description
blha_get_max_len 调用了max ，numpy中max不支持0-size，所以没有增加单测，只是修改kernel支持PaddleAPITest 测试运行
修改包含前向，没有反向
infermeta没有修改
kernel修改gpu/xpu，返回结果为一个整数保存在cpu后端中
numpy中max不支持0-size
PaddleAPITest 测试运行通过
mv 修改前向和反向
infermeta 不用修改
kernel 修改 cpu/gpu，前向共用impl实现
已修改测试用例, x末尾列需要和vec维度值相同，所以测试用例为
[0, 100], [100]
[100, 0], [0]
[0], [0]
PaddleAPITest 测试已修复cuda error, paddle, error, 错误为torch error
nanmedian 修改前向和反向
infermeta修改设置维度
修改cpu/gpu kernel
返回值需要Resize，Out返回NAN，median_index返回0
PaddleAPITest测试通过
