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>,
>
>
> > 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 --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!
> > >
> > > --
> > >
> > > ---
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> >
> > --
> > Pascal Lamblin
> >
> > --
> >
> > ---
> > You received this message because you are subscribed to the Google
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> --
> Pascal Lamblin
>
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