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>>,
> 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> --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
>
> --
>
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