It seems like the gcc in anaconda has trouble when installed in a path with
spaces:
Can you copy this to 'test.c':
int main() {
return 1;
}
and try to compile with:
g++ test.c -o test
> Le 10 avr. 2018 à 17:19, Qinpeng Wang <wqp.gat...@gmail.com> a écrit :
>
> Hi, Arnaud,
>
> Thanks for your reply! I reinstalled CUDA, copied cudnn files in the cuda
> directory, and removed the two parameters. However, I got the same errors
> from my first post:
>
> ERROR (theano.gpuarray): Could not initialize pygpu, support disabled
> Traceback (most recent call last):
> File "C:\Program
> Files\Anaconda3\envs\te\lib\site-packages\theano\gpuarray\__init__.py", line
> 227, in <module>
> use(config.device)
> File "C:\Program
> Files\Anaconda3\envs\te\lib\site-packages\theano\gpuarray\__init__.py", line
> 214, in use
> init_dev(device, preallocate=preallocate)
> File "C:\Program
> Files\Anaconda3\envs\te\lib\site-packages\theano\gpuarray\__init__.py", line
> 121, in init_dev
> dnn.dnn_available.msg)
> RuntimeError: You enabled cuDNN, but we aren't able to use it: cannot compile
> with cuDNN. We got this error:
> b'C:/Program
> Files/Anaconda3/envs/te/Library/mingw-w64/bin/../lib/gcc/x86_64-w64-mingw32/5.3.0/../../../../x86_64-w64-mingw32/bin/ld.exe:
> cannot find C:/Program: No such file or directory
> C:/Program
> Files/Anaconda3/envs/te/Library/mingw-w64/bin/../lib/gcc/x86_64-w64-mingw32/5.3.0/../../../../x86_64-w64-mingw32/bin/ld.exe:
> cannot find
> Files/Anaconda3/envs/te/Library/mingw-w64/bin/../lib/gcc/x86_64-w64-mingw32/5.3.0/../../../../x86_64-w64-mingw32/lib/../lib/default-manifest.o:
> No such file or directory
> collect2.exe: error: ld returned 1 exit status'
>
> Any other suggestion you have?
>
> Thanks!
>
>
> On Tuesday, April 10, 2018 at 12:45:59 PM UTC-5, Arnaud Bergeron wrote:
>
>
>> Le 3 avr. 2018 à 12:01, Qinpeng Wang <wqp.g...@gmail.com <>> a écrit :
>>
>> Hi Pascal,
>>
>> I have CUDA installed a while ago when I was still using the old GPU backend
>> at C:\Program Files\NVIDIA GPU Computing Toolkit, then I copied the CUDA
>> folder to C root.
>
> This most likely broke DLL registrations. Please don't do that.
>
> If you reinstall cuda in its original location, put the cudnn files in the
> cuda directory and remove these two parameters in your theanorc file:
> include_path=C:/CUDA/v7.5/include
> library_path=C:/CUDA/v7.5/lib/x64
> It should work again.
>
> ---
>
> I you really want to try with the current setup, you can try to set this
> base_path=C:/CUDA/v7.5
> Instead of the two above, but I'm pretty sure that will still break on the
> cuda DLLs.
>
>
>
>> Then I installed cuDNN by copying unzipped files into corresponding folders
>> inside CUDA folder. I'm using CUDA 7.5 and cuDNN 6.0 (Windows7). See my
>> theanoc file in my original post to make sure I have pointed theano to the
>> right location.
>> Yes this error is not related to Idflags.
>>
>> Thanks!
>>
>> On Tuesday, April 3, 2018 at 9:59:38 AM UTC-5, Pascal Lamblin wrote:
>> This is a completely different error message.
>> This one has to do with cuDNN, not BLAS or MKL.
>>
>> Where have you installed cuDNN?
>> Does _that_ error still happen when you do not ldflags?
>>
>> On 2018-04-03 10:46 AM, Qinpeng Wang wrote:
>> > Hi Pascal,
>> >
>> > Thanks for your reply!
>> > I have "mkl-service" package installed via conda (I have versions of
>> > installed libraries in my original post), but somehow theano is unable
>> > to locate the BLAS library automatically, hence the warning message.
>> > Since the "gcc-v" output seems reasonable, could you please help me
>> > figure out how to get rid of the error message in my original post? I
>> > attach it here again for your convenience.
>> >
>> > When I run:
>> > |python -c "import theano"|
>> >
>> > I get this message:
>> >
>> > |ERROR (theano.gpuarray): Could not initialize pygpu, support disabled
>> > Traceback (most recent call last): File "C:\Program
>> > Files\Anaconda3\envs\te\lib\site-packages\theano\gpuarray\__init__.py",
>> > line 227, in <module> use(config.device) File "C:\Program
>> > Files\Anaconda3\envs\te\lib\site-packages\theano\gpuarray\__init__.py",
>> > line 214, in use init_dev(device, preallocate=preallocate) File
>> > "C:\Program
>> > Files\Anaconda3\envs\te\lib\site-packages\theano\gpuarray\__init__.py",
>> > line 121, in init_dev dnn.dnn_available.msg) RuntimeError: You enabled
>> > cuDNN, but we aren't able to use it: cannot compile with cuDNN. We got
>> > this error: b'C:/Program
>> > Files/Anaconda3/envs/te/Library/mingw-w64/bin/../lib/gcc/x86_64-w64-mingw32/5.3.0/../../../../x86_64-w64-mingw32/bin/ld.exe:
>> >
>> > cannot find C:/Program: No such file or directory C:/Program
>> > Files/Anaconda3/envs/te/Library/mingw-w64/bin/../lib/gcc/x86_64-w64-mingw32/5.3.0/../../../../x86_64-w64-mingw32/bin/ld.exe:
>> >
>> > cannot find
>> > Files/Anaconda3/envs/te/Library/mingw-w64/bin/../lib/gcc/x86_64-w64-mingw32/5.3.0/../../../../x86_64-w64-mingw32/lib/../lib/default-manifest.o:
>> >
>> > No such file or directory collect2.exe: error: ld returned 1 exit status'
>> > |
>> >
>> >
>> > Thanks!
>> >
>> >
>> > On Tuesday, April 3, 2018 at 9:28:37 AM UTC-5, Pascal Lamblin wrote:
>> >
>> > On 2018-03-30 11:16 PM, Qinpeng Wang wrote:
>> > > Hi Pascal,
>> > >
>> > > Thanks for your reply!! Indeed I wasn't really sure how to set the
>> > > ldflags parameter, but if I don't have this line, I get this
>> > warning
>> > > message:
>> > >
>> > > WARNING (theano.tensor.blas): Using NumPy C-API based
>> > implementation for
>> > > BLAS functions.
>> >
>> > This is just a warning, the worse issue would be a slight slow down in
>> > some CPU operations.
>> >
>> > > After inspecting theano/tensor/blas_headers.py
>> > >
>> >
>> > <https://github.com/Theano/Theano/blob/82a3ec977b7c8630d92871e70d62e5a2c52cea62/theano/tensor/blas_headers.py
>> >
>> > <https://github.com/Theano/Theano/blob/82a3ec977b7c8630d92871e70d62e5a2c52cea62/theano/tensor/blas_headers.py>
>> >
>> >
>> > <https://github.com/Theano/Theano/blob/82a3ec977b7c8630d92871e70d62e5a2c52cea62/theano/tensor/blas_headers.py
>> >
>> > <https://github.com/Theano/Theano/blob/82a3ec977b7c8630d92871e70d62e5a2c52cea62/theano/tensor/blas_headers.py>>>,
>> >
>> >
>> > > I found the following:
>> > >
>> > > |if not config.blas.ldflags: logger.warning('Using NumPy C-API
>> > based
>> > > implementation for BLAS functions.')|
>> > >
>> > > So I realize I may have to have ldflags in the theaorc file to
>> > get rid
>> > > of this warning message. *How to set ldflags correctly?*
>> >
>> > These flags are for specifying where an optimized BLAS library is,
>> > when
>> > it is not found automatically.
>> > If you do not have an optimized BLAS library installed, then it should
>> > stay empty.
>> >
>> > Did you install the "mkl-service" package in conda?
>> > This is usually the easiest way to install an optimized BLAS that will
>> > be automatically found.
>> >
>> > > I was asking around what the correct output of "gcc -v" would
>> > look like,
>> > > but have not got any reply yet, here it is:
>> >
>> > This seems reasonable.
>> >
>> > >
>> > > |Using built-in specs. COLLECT_GCC=gcc
>> > COLLECT_LTO_WRAPPER=C:/Program\
>> > >
>> >
>> > Files/Anaconda3/envs/te/Library/mingw-w64/bin/../lib/gcc/x86_64-w64-mingw32/5.3.0/lto-wrapper.exe
>> >
>> >
>> > > Target: x86_64-w64-mingw32 Configured with: ../gcc-5.3.0/configure
>> > > --prefix=/mingw64 --with-local-prefix=/mingw64/local
>> > > --build=x86_64-w64-mingw32 --host=x86_64-w64-mingw32
>> > > --target=x86_64-w64-mingw32
>> > > --with-native-system-header-dir=/mingw64/x86_64-w64-mingw32/include
>> > > --libexecdir=/mingw64/lib
>> > > --with-gxx-include-dir=/mingw64/include/c++/5.3.0
>> > --enable-bootstrap
>> > > --with-arch=x86-64 --with-tune=generic
>> > > --enable-languages=c,lto,c++,objc,obj-c++,fortran,ada
>> > --enable-shared
>> > > --enable-static --enable-libatomic --enable-threads=posix
>> > > --enable-graphite --enable-fully-dynamic-string
>> > > --enable-libstdcxx-time=yes --disable-libstdcxx-pch
>> > > --disable-libstdcxx-debug --enable-version-specific-runtime-libs
>> > > --disable-isl-version-check --enable-lto --enable-libgomp
>> > > --disable-multilib --enable-checking=release --disable-rpath
>> > > --disable-win32-registry --disable-nls --disable-werror
>> > > --disable-symvers --with-libiconv --with-system-zlib
>> > --with-gmp=/mingw64
>> > > --with-mpfr=/mingw64 --with-mpc=/mingw64 --with-isl=/mingw64
>> > > --with-pkgversion='Rev5, Built by MSYS2 project'
>> > > --with-bugurl=https://sourceforge.net/projects/msys2
>> > <https://sourceforge.net/projects/msys2>
>> > <https://sourceforge.net/projects/msys2
>> > <https://sourceforge.net/projects/msys2>> --with-gnu-as
>> > > --with-gnu-ld Thread model: posix gcc version 5.3.0 (Rev5, Built by
>> > > MSYS2 project)|
>> > >
>> > >
>> > > Lastly, I have restarted the computer, the error message stayed
>> > the same.
>> > >
>> > > Thank you so much!
>> > >
>> > > On Friday, March 30, 2018 at 9:38:11 PM UTC-5, Pascal Lamblin
>> > wrote:
>> > >
>> > > Your "ldflags" option in the "[blas]" section is not correct,
>> > it should
>> > > at least start with -I or -l, and there should be quotation
>> > marks
>> > > around
>> > > the path since there is a space in "Program Files".
>> > >
>> > > What happens if you do not include this line in the .theanorc?
>> > >
>> > > Are you able to run `gcc -v` from inside the conda env, and
>> > what is the
>> > > output?
>> > >
>> > > Also, it may seem stupid, but have you restarted your
>> > computer, or at
>> > > least the terminal, since you installed m2w64-toolchain?
>> > >
>> > > On 2018-03-30 01:27 PM, Qinpeng Wang wrote:
>> > > > Hi, all,
>> > > >
>> > > >
>> > > > I'm trying to setup theano 1.0.1 with CUDA 7.5 and cuDNN 6.0
>> > > (Windows7).
>> > > > I created a new virtual environment with conda and installed
>> > > required
>> > > > libraries like this:
>> > > >
>> > > > |conda install numpy scipy mkl-service libpython
>> > m2w64-toolchain
>> > > conda
>> > > > install theano pygpu |
>> > > >
>> > > > Here are versions of major relavant libraries:
>> > > >
>> > > > |theano 1.0.1 python 3.5.5 numpy 1.14.2 scipy 1.0.0
>> > > m2w64-toolchain 5.3.0
>> > > > mkl-service 1.1.2 pygpu 0.7.5 libgpuarray 0.7.5 libpython
>> > 2.1 mkl
>> > > 2018.0.2 |
>> > > >
>> > > > The way I installed cuDNN is to copy files into
>> > corresponding
>> > > folders
>> > > > inside CUDA folder. Originally I installed CUDA at
>> > C:\Program
>> > > > Files\NVIDIA GPU Computing Toolkit, then I copied the CUDA
>> > folder
>> > > to C root.
>> > > >
>> > > > When I run:
>> > > > |python -c "import theano"|
>> > > >
>> > > > I get this message:
>> > > >
>> > > > |ERROR (theano.gpuarray): Could not initialize pygpu,
>> > support
>> > > disabled
>> > > > Traceback (most recent call last): File "C:\Program
>> > > >
>> > >
>> >
>> > Files\Anaconda3\envs\te\lib\site-packages\theano\gpuarray\__init__.py",
>> > > > line 227, in <module> use(config.device) File "C:\Program
>> > > >
>> > >
>> >
>> > Files\Anaconda3\envs\te\lib\site-packages\theano\gpuarray\__init__.py",
>> > > > line 214, in use init_dev(device, preallocate=preallocate)
>> > File
>> > > > "C:\Program
>> > > >
>> > >
>> >
>> > Files\Anaconda3\envs\te\lib\site-packages\theano\gpuarray\__init__.py",
>> > > > line 121, in init_dev dnn.dnn_available.msg) RuntimeError:
>> > You
>> > > enabled
>> > > > cuDNN, but we aren't able to use it: cannot compile with
>> > cuDNN.
>> > > We got
>> > > > this error: b'C:/Program
>> > > >
>> > >
>> >
>> > Files/Anaconda3/envs/te/Library/mingw-w64/bin/../lib/gcc/x86_64-w64-mingw32/5.3.0/../../../../x86_64-w64-mingw32/bin/ld.exe:
>> >
>> >
>> > >
>> > > > cannot find C:/Program: No such file or directory C:/Program
>> > > >
>> > >
>> >
>> > Files/Anaconda3/envs/te/Library/mingw-w64/bin/../lib/gcc/x86_64-w64-mingw32/5.3.0/../../../../x86_64-w64-mingw32/bin/ld.exe:
>> >
>> >
>> > >
>> > > > cannot find
>> > > >
>> > >
>> >
>> > Files/Anaconda3/envs/te/Library/mingw-w64/bin/../lib/gcc/x86_64-w64-mingw32/5.3.0/../../../../x86_64-w64-mingw32/lib/../lib/default-manifest.o:
>> >
>> >
>> > >
>> > > > No such file or directory collect2.exe: error: ld returned
>> > 1 exit
>> > > status' |
>> > > >
>> > > > My theanoc file:
>> > > >
>> > > > |[global] floatX = float32 device = cuda [dnn] enabled =
>> > True
>> > > > include_path=C:/CUDA/v7.5/include
>> > library_path=C:/CUDA/v7.5/lib/x64
>> > > > [blas] ldflags = C:/Program
>> > Files/Anaconda3/envs/t/Library/bin
>> > > mkl_rt |
>> > > >
>> > > > Can somebody help please?
>> > > >
>> > > >
>> > > > Thanks!
>> > > >
>> > > > --
>> > > >
>> > > > ---
>> > > > You received this message because you are subscribed to
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>> > from it,
>> > > send
>> > > > an email to theano-users...@googlegroups.com <>
>> > <javascript:>
>> > > > <mailto:theano-users+unsubscr...@googlegroups.com <>
>> > <javascript:> <javascript:>>.
>> > > > For more options, visit https://groups.google.com/d/optout
>> > <https://groups.google.com/d/optout>
>> > <https://groups.google.com/d/optout
>> > <https://groups.google.com/d/optout>>
>> > > <https://groups.google.com/d/optout
>> > <https://groups.google.com/d/optout>
>> > <https://groups.google.com/d/optout
>> > <https://groups.google.com/d/optout>>>.
>> > >
>> > > --
>> > > Pascal Lamblin
>> > >
>> > > --
>> > >
>> > > ---
>> > > You received this message because you are subscribed to the Google
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>> > > To unsubscribe from this group and stop receiving emails from it,
>> > send
>> > > an email to theano-users...@googlegroups.com <> <javascript:>
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>> > <javascript:>>.
>> > > For more options, visit https://groups.google.com/d/optout
>> > <https://groups.google.com/d/optout>
>> > <https://groups.google.com/d/optout
>> > <https://groups.google.com/d/optout>>.
>> >
>> > --
>> > Pascal Lamblin
>> >
>> > --
>> >
>> > ---
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>> > To unsubscribe from this group and stop receiving emails from it, send
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>> > <https://groups.google.com/d/optout>.
>>
>> --
>> Pascal Lamblin
>>
>> --
>>
>> ---
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