Fix unstable selected_rows_functor_test.cu #13505
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reyoung
commented
Sep 20, 2018
| @@ -107,7 +107,7 @@ struct SelectedRowsAddTensor<platform::CUDADeviceContext, T> { | |||
| PADDLE_ENFORCE_EQ(in1_height, out_dims[0]); | |||
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| auto& in1_value = input1.value(); | |||
| framework::Vector<int64_t> in1_rows(input1.rows()); | |||
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Prevent unnecessary memcpy here.
Not related to this bug.
reyoung
commented
Sep 20, 2018
| @@ -206,7 +206,7 @@ struct SelectedRowsAddToTensor<platform::CUDADeviceContext, T> { | |||
| PADDLE_ENFORCE_EQ(in1_height, in2_dims[0]); | |||
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| auto& in1_value = input1.value(); | |||
| framework::Vector<int64_t> in1_rows(input1.rows()); | |||
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Prevent unnecessary memcpy here.
Not related to this bug.
reyoung
commented
Sep 20, 2018
| paddle::platform::CUDADeviceContext ctx(gpu_place); | ||
| paddle::platform::CUDADeviceContext& ctx = | ||
| *reinterpret_cast<paddle::platform::CUDADeviceContext*>( | ||
| paddle::platform::DeviceContextPool::Instance().Get(gpu_place)); |
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Use the computation stream.
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Why it must use the DeviceContextPool here?
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I see. The copy of lod is async and it is in computation stream.
chengduoZH
approved these changes
Sep 20, 2018
| paddle::platform::CUDADeviceContext ctx(gpu_place); | ||
| paddle::platform::CUDADeviceContext& ctx = | ||
| *reinterpret_cast<paddle::platform::CUDADeviceContext*>( | ||
| paddle::platform::DeviceContextPool::Instance().Get(gpu_place)); |
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Why it must use the DeviceContextPool here?
panyx0718
approved these changes
Sep 20, 2018
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