Support FP16 mean #38289
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Support FP16 mean #38289
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| Thanks for your contribution! |
| }; | ||
| | ||
| template <typename T> | ||
| __global__ void MeanRunKernel(const T* in_data, T* out_data, int N) { |
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目前mean 和reducemean调用的都是pten里面的reduce，由chen tian yu进行修改。可以确认一下修改是否起作用了
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已打log确认，确实能调到，因为PTen没有FP16的注册。后续PR会在PTen里添加注册。
| template <typename Tx, typename Ty = Tx> | ||
| struct CustomMean { | ||
| using Transformer = kps::DivideFunctor<Tx>; | ||
| using Transformer = kps::DivideFunctor<Tx, Ty>; |
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在最新的reduce_op.cu.h中是没用到CustomMean的，本来计划删除，但是pten用到了，你只修改这里是不会对pten中reduce实现有修改的，不过他们好像在移动代码
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已打log确认，确实能调到，因为PTen没有FP16的注册。后续PR会在PTen里添加注册。
| reduce_mean, | ||
| ops::ReduceCudaKernel<bool, kps::AddFunctor, kps::DivideFunctor>, | ||
| ops::ReduceCudaKernel<paddle::platform::float16, kps::AddFunctor, | ||
| kps::DivideFunctor>, |
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chentianyu说对于mean和sum pten内部是添加了注册的，请确认修改这里是否真正能够调用fp16
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已打log确认，确实能调到，因为PTen没有FP16的注册。后续PR会在PTen里添加注册。
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Support FP16 for
meanandreduce_meanops.