[0-size Retest] fix send_ue_recv、lu、mean 0-size #74150
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| phi::Full<int, Context>(dev_ctx, | ||
| phi::IntArray(common::vectorize(infos->dims())), | ||
| static_cast<T>(0), | ||
| infos); | ||
| phi::Full<int, Context>(dev_ctx, | ||
| phi::IntArray(common::vectorize(pivots->dims())), | ||
| static_cast<T>(0), | ||
| pivots); |
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static_cast<T>(0)和Full<int, Context>数据类型应该保持一致。
| phi::Full<int, Context>(dev_ctx, | ||
| phi::IntArray(common::vectorize(infos->dims())), | ||
| static_cast<T>(0), | ||
| infos); | ||
| phi::Full<int, Context>(dev_ctx, | ||
| phi::IntArray(common::vectorize(pivots->dims())), | ||
| static_cast<T>(0), | ||
| pivots); |
| if (x.numel() == 0 && std::is_same<T, int>::value) { | ||
| phi::Full<T, Context>( | ||
| dev_ctx, phi::IntArray(common::vectorize(out->dims())), 0, out); | ||
| return; | ||
| } |
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感觉这部分的逻辑有点问题，为什么仅单独处理 int 类型呢？
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为了和torch结果对齐，torch在int32时，填充的是0
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mean 的 0size 我之前修过；我认为应该都是 nan，元素个数为 0，mean 除 0 无数学意义
@DanielSun11 这个是否要再商量商量？
| /re-run all-failed |
| phi::Full<T, Context>( | ||
| dev_ctx, phi::IntArray(common::vectorize(out->dims())), 0, out); | ||
| return; | ||
| } |
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请按照之前的修复方案处理int数据类型。不需要填充为0
5 participants
PR Category
Operator Mechanism
PR Types
Bug fixes
Description
send_ue_recv 修复前存在问题：
send_ue_recv 修复后测试结果：
lu 修复前存在问题：
lu 修复后测试结果：
mean int32在cpu情况下认为是torch的错误，paddle的行为是正确的。
pcard-67164