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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