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.

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?*

I was asking around what the correct output of "gcc -v" would look like, 
but have not got any reply yet, here it is:

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

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