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GPU compile error #96

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shangwenxiang opened this issue Mar 12, 2017 · 1 comment
Open

GPU compile error #96

shangwenxiang opened this issue Mar 12, 2017 · 1 comment

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@shangwenxiang
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I compile withK8,it is error:

root@gpu4:/home/caicloud/Faster-RCNN_TF# cd lib/
root@gpu4:/home/caicloud/Faster-RCNN_TF/lib# make
python setup.py build_ext --inplace
running build_ext
skipping 'utils/bbox.c' Cython extension (up-to-date)
skipping 'utils/nms.c' Cython extension (up-to-date)
skipping 'nms/cpu_nms.c' Cython extension (up-to-date)
rm -rf build
bash make.sh
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcublas.so locally
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcudnn.so locally
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcufft.so locally
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcuda.so.1 locally
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcurand.so locally
root@gpu4:/home/caicloud/Faster-RCNN_TF/lib# cd ..
root@gpu4:/home/caicloud/Faster-RCNN_TF# ./RunDemo.sh
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcublas.so locally
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcudnn.so locally
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcufft.so locally
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcuda.so.1 locally
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcurand.so locally
Traceback (most recent call last):
File "./tools/demo.py", line 5, in
from fast_rcnn.nms_wrapper import nms
File "/home/caicloud/Faster-RCNN_TF/tools/../lib/fast_rcnn/nms_wrapper.py", line 10, in
from nms.gpu_nms import gpu_nms
ImportError: No module named gpu_nms

@AlbertoBenini
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AlbertoBenini commented Mar 14, 2017

Hi, I have the same issue, have you find how to fix it?

Ok, I solved it following the solution here #90

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