Hi, Arnaud,
Thanks for your reply! I believe currently I rely on the gcc from
m2w64-toolchain package, installed via conda.
Where can I find this file "test.c", and how can I compile with your code?
Thanks!
On Wednesday, April 11, 2018 at 12:18:56 PM UTC-5, Arnaud Bergeron wrote:
>
> 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 <[email protected] <javascript:>>
> 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 <[email protected]> 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
>>> >>,
>>> >
>>> > > 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!
>>> > > >
>>> > > > --
>>> > > >
>>> > > > ---
>>> > > > You received this message because you are subscribed to
>>> > the Google
>>> > > > Groups "theano-users" group.
>>> > > > To unsubscribe from this group and stop receiving emails
>>>
>>> > from it,
>>> > > send
>>> > > > an email to [email protected]
>>> <javascript:>
>>> > > > <mailto:[email protected]
>>> > <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>>.
>>> > >
>>> > > --
>>> > > Pascal Lamblin
>>> > >
>>> > > --
>>> > >
>>> > > ---
>>> > > You received this message because you are subscribed to the
>>> Google
>>> > > Groups "theano-users" group.
>>> > > To unsubscribe from this group and stop receiving emails from
>>> it,
>>> > send
>>> > > an email to [email protected] <javascript:>
>>> > > <mailto:[email protected]
>>> <javascript:>>.
>>> > > For more options, visit 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
>>> > Groups "theano-users" group.
>>> > To unsubscribe from this group and stop receiving emails from it, send
>>>
>>> > an email to [email protected]
>>> > <mailto:[email protected]>.
>>> > For more options, visit https://groups.google.com/d/optout.
>>>
>>> --
>>> Pascal Lamblin
>>>
>>
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>>
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