imatge-upc / activitynet-2016-cvprw

Tools to participate in the ActivityNet Challenge 2016 (NIPSW 2016)

Home Page:https://imatge-upc.github.io/activitynet-2016-cvprw/

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Error loading C3D network

mo-morikawa opened this issue · comments

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.

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.