down votefavorite
<http://stackoverflow.com/questions/43371190/cant-use-gpu-with-theano-win10#>
I builded and executed deviceQuery.exe with VS2015, and the result was
Pass, but when I test theano with the code below, some errors occurred.
from theano import function, config, shared, tensorimport numpyimport time
vlen = 10 * 30 * 768 # 10 x #cores x # threads per core
iters = 1000
rng = numpy.random.RandomState(22)
x = shared(numpy.asarray(rng.rand(vlen), config.floatX))
f = function([], tensor.exp(x))print(f.maker.fgraph.toposort())
t0 = time.time()for i in range(iters):
r = f()
t1 = time.time()print("Looping %d times took %f seconds" % (iters, t1 -
t0))print("Result is %s" % (r,))if numpy.any([isinstance(x.op, tensor.Elemwise)
and
('Gpu' not in type(x.op).__name__)
for x in f.maker.fgraph.toposort()]):
print('Used the cpu')else:
print('Used the gpu')
Error:
c1xx: fatal error C1083: Cannot open source file: 'mod.cu': No such file or
directory
nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are
deprecated, and may be removed in a future release (Use
-Wno-deprecated-gpu-targets to suppress warning).
mod.cu
['nvcc', '-shared', '-O3', '-LC:\\Users\\asus\\Anaconda3\\envs\\DL\\libs',
'-use_fast_math', '--compiler-bindir', 'C:\\Program Files (x86)\\Microsoft
Visual Studio 14.0\\VC\\bin\\x86_amd64', '-Xlinker', '/DEBUG', '-D HAVE_ROUND',
'-m64', '-Xcompiler',
'-DCUDA_NDARRAY_CUH=mc72d035fdf91890f3b36710688069b2e,-DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION,/Zi,/MD',
'-I"C:\\Users\\asus\\Anaconda3\\envs\\DL\\lib\\site-packages\\theano\\sandbox\\cuda"',
'-I"C:\\Users\\asus\\Anaconda3\\envs\\DL\\lib\\site-packages\\numpy\\core\\include"',
'-I"C:\\Users\\asus\\Anaconda3\\envs\\DL\\include"',
'-I"C:\\Users\\asus\\Anaconda3\\envs\\DL\\lib\\site-packages\\theano\\gof"',
'-L"C:\\Users\\asus\\Anaconda3\\envs\\DL\\libs"',
'-L"C:\\Users\\asus\\Anaconda3\\envs\\DL"', '-o',
'C:\\Users\\asus\\AppData\\Local\\Theano\\compiledir_Windows-10-10.0.14393-SP0-Intel64_Family_6_Model_94_Stepping_3_GenuineIntel-3.5.3-64\\cuda_ndarray\\cuda_ndarray.pyd',
'mod.cu', '-lcublas', '-lpython35', '-lcudart']
ERROR (theano.sandbox.cuda): Failed to compile cuda_ndarray.cu: ('nvcc return
status', 2, 'for cmd', 'nvcc -shared -O3
-LC:\\Users\\asus\\Anaconda3\\envs\\DL\\libs -use_fast_math --compiler-bindir
C:\\Program Files (x86)\\Microsoft Visual Studio 14.0\\VC\\bin\\x86_amd64
-Xlinker /DEBUG -D HAVE_ROUND -m64 -Xcompiler
-DCUDA_NDARRAY_CUH=mc72d035fdf91890f3b36710688069b2e,-DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION,/Zi,/MD
-I"C:\\Users\\asus\\Anaconda3\\envs\\DL\\lib\\site-packages\\theano\\sandbox\\cuda"
-I"C:\\Users\\asus\\Anaconda3\\envs\\DL\\lib\\site-packages\\numpy\\core\\include"
-I"C:\\Users\\asus\\Anaconda3\\envs\\DL\\include"
-I"C:\\Users\\asus\\Anaconda3\\envs\\DL\\lib\\site-packages\\theano\\gof"
-L"C:\\Users\\asus\\Anaconda3\\envs\\DL\\libs"
-L"C:\\Users\\asus\\Anaconda3\\envs\\DL" -o
C:\\Users\\asus\\AppData\\Local\\Theano\\compiledir_Windows-10-10.0.14393-SP0-Intel64_Family_6_Model_94_Stepping_3_GenuineIntel-3.5.3-64\\cuda_ndarray\\cuda_ndarray.pyd
mod.cu -lcublas -lpython35 -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)
It seems that cuda_ndarray.cu can't be compiled, but I can't figure out the
reason.
My .theanorc file
[global]
openmp=False
device = gpu
optimizer_including=cudnn
floatX = float32
allow_input_downcast=True
[lib]
cnmem = 0.8
[blas]
ldflags=
[gcc]
cxxflags=-IC:\Users\asus\Anaconda3\envs\DL\MinGW
[nvcc]
flags = -LC:\Users\asus\Anaconda3\envs\DL\libs
compiler_bindir = C:\Program Files (x86)\Microsoft Visual Studio
14.0\VC\bin\x86_amd64
fastmath = True
cuda version : 8.0
cuDNN version : 5.1
theano version : 0.9.0 (conda install theano)
visual studio version : 2015
operating system : win10 (64-bit)
python version : 3.5.3 (64-bit)
I have spent over 15 hours googling and configuring it, and I am willing to
add any essential information. I appreciate for any advice.
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