I’m trying to write a C++ version of maskrcnn based on libtorch, then when compiling my project, I got an error like this. I have seen this kind of error when compiling Caffe. However, that solution can not be used when talking about libtorch. Is there anyone have cues? thank you in advance.
-- Found Threads: TRUE
-- Found CUDA: /usr/local/cuda-10.1 (found version "10.1")
-- Caffe2: CUDA detected: 10.1
-- Caffe2: CUDA nvcc is: /usr/local/cuda-10.1/bin/nvcc
-- Caffe2: CUDA toolkit directory: /usr/local/cuda-10.1
-- Caffe2: Header version is: 10.1
-- Found CUDNN: /usr/lib/x86_64-linux-gnu/libcudnn.so
-- Found cuDNN: v7.6.4 (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libcudnn.so)
-- Autodetected CUDA architecture(s): 5.2 5.2
-- Added CUDA NVCC flags for: -gencode;arch=compute_52,code=sm_52
-- Found torch: /home/tengfeihan/maskrcnn_benchmark.cpp/lib/libtorch/lib/libtorch.so
-- Found OpenCV: /usr/local (found version "3.4.2")
CUDA FOUND
-- The CUDA compiler identification is NVIDIA 10.1.243
-- Check for working CUDA compiler: /usr/local/cuda-10.1/bin/nvcc
-- Check for working CUDA compiler: /usr/local/cuda-10.1/bin/nvcc -- works
-- Detecting CUDA compiler ABI info
-- Detecting CUDA compiler ABI info - done
-- Found PythonInterp: /home/tengfeihan/anaconda3/bin/python (found version "3.7.4")
-- Found GTest: /home/tengfeihan/maskrcnn_benchmark.cpp/lib/libtorch/lib/libgtest.a
-- Configuring done
-- Generating done
-- Build files have been written to: /home/tengfeihan/maskrcnn_benchmark.cpp/build
(base) ┌─[tengfeihan@tengfeihan-X10SRA-F] - [~/maskrcnn_benchmark.cpp/build] - [Sat Mar 14, 19:06]
└─[$] <git:(master*)> make
Scanning dependencies of target layers
[ 1%] Building CUDA object source/rcnn/layers/CMakeFiles/layers.dir/cuda/ROIAlign_cuda.cu.o
In file included from /home/tengfeihan/maskrcnn_benchmark.cpp/source/rcnn/layers/cuda/ROIAlign_cuda.cu:3:0:
/home/tengfeihan/maskrcnn_benchmark.cpp/lib/libtorch/include/ATen/cuda/CUDAContext.h:7:10: fatal error: cublas_v2.h: No such file or directory
#include <cublas_v2.h>
^~~~~~~~~~~~~
compilation terminated.
source/rcnn/layers/CMakeFiles/layers.dir/build.make:62: recipe for target 'source/rcnn/layers/CMakeFiles/layers.dir/cuda/ROIAlign_cuda.cu.o' failed
make[2]: *** [source/rcnn/layers/CMakeFiles/layers.dir/cuda/ROIAlign_cuda.cu.o] Error 1
CMakeFiles/Makefile2:337: recipe for target 'source/rcnn/layers/CMakeFiles/layers.dir/all' failed
make[1]: *** [source/rcnn/layers/CMakeFiles/layers.dir/all] Error 2
Makefile:129: recipe for target 'all' failed
make: *** [all] Error 2
Hey,
I am facing the same issue, my cublas_v2.h file is located at /usr/include/.
How did you solve the issue? Did you change the path to a different one?
I had a similar issue trying to build apex with cuda10.2 and pytorch 1.7 nightly. You can use symbolic linking like the following to resolve the issue: ln -s /usr/include/cublas_v2.h /usr/local/cuda-10.2/targets/x86_64-linux/include/cublas_v2.h . Please use appropriate cuda version and target for the target link. Cheers!
I am compiling apex with Pytorch 1.6. For my case it’s the other way around: cublas_v2.h is located at /usr/local/cuda-10.1/targets/x86_64-linux/include/cublas_v2.h but compiler expects it to be at /usr/include/cublas_v2.h.
I’ve got the very same problem for the very same repository (NSVF). I tried installing different cuda versions, reinstalling them, linking,… nothing works.
Edit: Ok, this worked for me. Make sure cublas_v2.h is located somewhere on your system, you can use what @ptrblck suggested, i.e find /usr/local/ -name cublas_v2.h If it doesn’t find anything you have to reinstall cuda - I recommend this tutorial Installing CUDA 10.1 on Ubuntu 20.04 | by Stephen Gregory | Medium
Do find /usr/local/ -name cublas_v2.h once again to make sure cublas_v2.h is there, if you followed the aforementioned tutorial cublas_v2.h will be in cuda-10-2 folder. No worries, we will symlink it and everything else that is necessary. Just do the following:
