The command is: conda install -c rdonnelly theano

On Mon, Mar 13, 2017 at 5:42 PM Frédéric Bastien <[email protected]>
wrote:

> Try Theano beta conda package
>
> Conda install -r raydonelly Theano
>
> From memory, I'm offline. If that don't work, look in Theano issues I give
> the good commande line.
>
> Fred
>
> Le ven. 10 mars 2017 22:01, 李奕 <[email protected]> a écrit :
>
> 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]> 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
>
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