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Compilation error: math_function_generated_im2col.cu.o #8715

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luotao1 opened this issue Mar 2, 2018 · 0 comments · Fixed by #8716
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Compilation error: math_function_generated_im2col.cu.o #8715

luotao1 opened this issue Mar 2, 2018 · 0 comments · Fixed by #8716

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@luotao1
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luotao1 commented Mar 2, 2018 

/home/luotao02/Paddle/paddle/fluid/framework/dim.h(161): error: Within a __device__/__global__ function, only __shared__ variables may be marked "static"

/home/luotao02/Paddle/paddle/fluid/framework/dim.h(187): error: Within a __device__/__global__ function, only __shared__ variables may be marked "static"

2 errors detected in the compilation of "/home/luotao02/.tmp/tmpxft_00003712_00000000-7_im2col.cpp1.ii".
CMake Error at math_function_generated_im2col.cu.o.cmake:260 (message):
  Error generating file
  /home/luotao02/Paddle/build/paddle/fluid/operators/math/CMakeFiles/math_function.dir//./math_function_generated_im2col.cu.o


make[2]: *** [paddle/fluid/operators/math/CMakeFiles/math_function.dir/math_function_generated_im2col.cu.o] Error 1
make[1]: *** [paddle/fluid/operators/math/CMakeFiles/math_function.dir/all] Error 2
make: *** [all] Error 2

This error is similar to tensorflow/tensorflow#10258.
The reason is that On CUDA versions previous to 8.0, only shared variables could be declared as static in the device code.
@luotao1 luotao1 mentioned this issue Mar 2, 2018
Merged
blacksheep-Aristotle pushed a commit to blacksheep-Aristotle/Paddle that referenced this issue Nov 22, 2024
@ForFishes @GuoxiaWang
Add offload/reload for optimizer (PaddlePaddle#9359)
565a6ab 
* support optimizer state offload (PaddlePaddle#8715)

* support optimizer offload

* update doc

* [FleetY]offload optimizer state after load optmizer state (PaddlePaddle#9352)

* add offload optimizer

* fix memory

* [FleetY] Add reload/offload for optimizer (PaddlePaddle#9356)

* add reload/offload for optimizer

* fix bug

---------

Co-authored-by: Guoxia Wang <mingzilaochongtu@gmail.com>
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fix only shared variables could be declared as static in the device code
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@luotao1