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].
For more options, visit https://groups.google.com/d/optout.
