Hi, Arnaud,
I think you have located the issue, here is what I did: I activated the
virtual env in cmd, then ran "g++ test.c -o test", here is the error
message:
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
What do you suggest that I do now? Do I have to remove Anaconda and install
at C root?
Thanks!
On Monday, April 16, 2018 at 12:46:02 PM UTC-5, Arnaud Bergeron wrote:
>
> Create a new file and call it whatever (like test.c), then try to compile
> it. This is just to check if the compiler works outside of Theano.
>
> I’ve added sample content so that the file has valid C code.
>
> Le 11 avr. 2018 à 17:07, Qinpeng Wang <wqp.g...@gmail.com <javascript:>>
> a écrit :
>
> 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 <wqp.g...@gmail.com> 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 <wqp.g...@gmail.com> 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 theano-users...@googlegroups.com
>>>> <javascript:>
>>>> > > > <mailto:theano-users+unsubscr...@googlegroups.com
>>>> > <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 theano-users...@googlegroups.com <javascript:>
>>>> > > <mailto:theano-users+unsubscr...@googlegroups.com
>>>> <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 theano-users...@googlegroups.com
>>>> > <mailto:theano-users+unsubscr...@googlegroups.com>.
>>>> > For more options, visit https://groups.google.com/d/optout.
>>>>
>>>> --
>>>> Pascal Lamblin
>>>>
>>>
>>> --
>>>
>>> ---
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>>>
>>>
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