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imatge-upc / activitynet-2016-cvprw

Tools to participate in the ActivityNet Challenge 2016 (NIPSW 2016)
https://imatge-upc.github.io/activitynet-2016-cvprw/
MIT License
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Error loading C3D network #9

Closed mo-morikawa closed 7 years ago

mo-morikawa commented 7 years ago

I have been getting the following error while running /run_all_pipeline.py :

ERROR (theano.sandbox.cuda): Failed to compile cuda_ndarray.cu: ('nvcc return status', 1, 'for cmd', 'nvcc -shared -O3 -m64 -Xcompiler -DCUDA_NDARRAY_CUH=c72d035fdf91890f3b36710688069b2e,-DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION,-fPIC,-fvisibility=hidden -Xlinker -rpath,/home/chamin/.theano/compiledir_Linux-4.4--generic-x86_64-with-Ubuntu-16.04-xenial-x86_64-2.7.12-64/cuda_ndarray -I/home/chamin/repos/activitynet-2016-cvprw/venv/local/lib/python2.7/site-packages/theano/sandbox/cuda -I/home/chamin/repos/activitynet-2016-cvprw/venv/local/lib/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -I/home/chamin/repos/activitynet-2016-cvprw/venv/local/lib/python2.7/site-packages/theano/gof -o /home/chamin/.theano/compiledir_Linux-4.4--generic-x86_64-with-Ubuntu-16.04-xenial-x86_64-2.7.12-64/cuda_ndarray/cuda_ndarray.so mod.cu -L/usr/lib -lcublas -lpython2.7 -lcudart')

I have been using cuda on keras on python 2.7 on other projects. Any pointer to start debugging will be of great help.

albertomontesg commented 7 years ago

This is an error regarding the loading of Theano with GPU capabilities. I do not know how to solve it, but I recommend to check the Theano documentation to find a solution.

I close the issue as it is not related with this repository.