Thanks, I use anaconda, So what to do next to slove this problem ? 在 2017年3月3日星期五 UTC+8下午9:46:18，nouiz写道： > > How did you get Python? If you compiled it yourself, you missed a > compilation option. I have a stack overflow answer to that. Search for fPIC > and Theano. > > Fred > > Le mar. 28 févr. 2017 23:23, 李奕 <[email protected] <javascript:>> a > écrit : > >> Thanks, very much. Actually In my anaconda version, theano + gpu(cuda8.0) >> + python3.5 is OK, I want to install in virtual environments. >> In virtual envirment, I run "pip install --upgrade --no-deps git+git:// >> github.com/Theano/Theano.git" to install the newest version; >> But when I run import theano, the errors(unknown option 'fPIC') exists. >> My environment is conda(virtualenv)'s virtual environment python2, So I >> wonder whether the virtual environments has effect on theano? Thanks. >> >> 在 2017年2月28日星期二 UTC+8下午9:47:41，Ankit Shah写道： >> >>> This is an error related to conversion of floating point number >>> approximation. Use latest version of theano and keras [if using] there is a >>> fix provided >>> >>> On Tuesday, February 28, 2017 at 11:55:06 AM UTC+5:30, 李奕 wrote: >>>> >>>> Hello, >>>> >>>> when I run import theano, the error is: >>>> ['nvcc', '-shared', '-O3', '-use_fast_math', '--compiler-bindir', >>>> '/usr/local/cuda/bin/nvcc', '-m64', '-Xcompiler', >>>> '-DCUDA_NDARRAY_CUH=c72d035fdf91890f3b36710688069b2e,-DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION,-fPIC,-fvisibility=hidden', >>>> >>>> '-Xlinker', >>>> '-rpath,/home/mlx/.theano/compiledir_Linux-4.2--generic-x86_64-with-debian-jessie-sid-x86_64-2.7.13-64/cuda_ndarray', >>>> >>>> '-I/home/mlx/anaconda3/envs/py2/lib/python2.7/site-packages/theano/sandbox/cuda', >>>> >>>> '-I/home/mlx/anaconda3/envs/py2/lib/python2.7/site-packages/numpy/core/include', >>>> >>>> '-I/home/mlx/anaconda3/envs/py2/include/python2.7', >>>> '-I/home/mlx/anaconda3/envs/py2/lib/python2.7/site-packages/theano/gof', >>>> '-L/home/mlx/anaconda3/envs/py2/lib', '-o', >>>> '/home/mlx/.theano/compiledir_Linux-4.2--generic-x86_64-with-debian-jessie-sid-x86_64-2.7.13-64/cuda_ndarray/cuda_ndarray.so', >>>> >>>> 'mod.cu', '-lcublas', '-lpython2.7', '-lcudart'] >>>> ERROR (theano.sandbox.cuda): Failed to compile cuda_ndarray.cu: ('nvcc >>>> return status', 1, 'for cmd', 'nvcc -shared -O3 -use_fast_math >>>> --compiler-bindir /usr/local/cuda/bin/nvcc -m64 -Xcompiler >>>> -DCUDA_NDARRAY_CUH=c72d035fdf91890f3b36710688069b2e,-DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION,-fPIC,-fvisibility=hidden >>>> >>>> -Xlinker >>>> -rpath,/home/mlx/.theano/compiledir_Linux-4.2--generic-x86_64-with-debian-jessie-sid-x86_64-2.7.13-64/cuda_ndarray >>>> >>>> -I/home/mlx/anaconda3/envs/py2/lib/python2.7/site-packages/theano/sandbox/cuda >>>> >>>> -I/home/mlx/anaconda3/envs/py2/lib/python2.7/site-packages/numpy/core/include >>>> >>>> -I/home/mlx/anaconda3/envs/py2/include/python2.7 >>>> -I/home/mlx/anaconda3/envs/py2/lib/python2.7/site-packages/theano/gof >>>> -L/home/mlx/anaconda3/envs/py2/lib -o >>>> /home/mlx/.theano/compiledir_Linux-4.2--generic-x86_64-with-debian-jessie-sid-x86_64-2.7.13-64/cuda_ndarray/cuda_ndarray.so >>>> >>>> mod.cu -lcublas -lpython2.7 -lcudart') >>>> WARNING (theano.sandbox.cuda): The cuda backend is deprecated and will >>>> be removed in the next release (v0.10). Please switch to the gpuarray >>>> backend. You can get more information about how to switch at this URL: >>>> >>>> https://github.com/Theano/Theano/wiki/Converting-to-the-new-gpu-back-end%28gpuarray%29 >>>> >>>> WARNING (theano.sandbox.cuda): CUDA is installed, but device gpu is not >>>> available (error: cuda unavailable) >>>> >>>> >>>> So what's the going on here? Thanks very much >>>> >>> -- >> >> --- >> You received this message because you are subscribed to the Google Groups >> "theano-users" group. >> To unsubscribe from this group and stop receiving emails from it, send an >> email to [email protected] <javascript:>. >> For more options, visit https://groups.google.com/d/optout. >> >
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