THEANO_FLAGS=device=cpu
Excellent! That helped and I can now run the code (as well as my own ...). > > Quick question: How would I convince theano to NOT use the GPU but rather > stick to the CPU (that is, to not use cuda at all)? Or would I run into the > same issue again then? > > Many thanks for your help! Much appreciated. > > Thomas > > On Thursday, 23 February 2017 17:09:35 UTC-5, Ramana Subramanyam wrote: >> >> Hi, >> I tried training your code and it works fine on my system. Try upgrading >> to CUDA 8 and run the code. >> >> Ramana >> >> On Thursday, February 23, 2017 at 11:08:23 PM UTC+1, Ramana Subramanyam >> wrote: >>> >>> >>> Hi, >>> >>> I use theano on 10.12, Sierra as well. What version of nvcc do you use? >>> XCode 7.3 supports only CUDA 8. You don't need to change versions of XCode >>> or CLT. I use the same versions of these softwares as you. >>> >>> Ramana >>> >>> Folks -- >>>> >>>> I am stuck in version hell I suppose and need some help for running >>>> theano on my Mac. >>>> >>>> Here is the config: >>>> Mac OS: 10.12.3 (16D32) >>>> >>>> python 2.7 (I use anaconda but I have tried the /usr-version that comes >>>> with the OS as well -- same result) >>>> >>>> theano: Theano (0.9.0rc1) >>>> lasagne: Lasagne (0.2.dev1) >>>> numpy: numpy (1.12.0) >>>> >>>> Xcode: Version 7.3 (7D175) >>>> clang: >>>> Apple LLVM version 7.3.0 (clang-703.0.29) >>>> Target: x86_64-apple-darwin16.4.0 >>>> Thread model: posix >>>> >>>> Unfortunately, I cannot downgrade XCode (clang) because I need it for >>>> other projects. >>>> >>>> So, here is what happens. I am working on LSTM models and have narrowed >>>> my version problem down as follows: Using the code provided here: >>>> http://colinraffel.com/talks/hammer2015recurrent.pdf (python file >>>> attached) calls to theano.function (line 154 in the attached) result in >>>> the >>>> following error message (excerpt): >>>> >>>> ======/ SNIP /============ >>>> Problem occurred during compilation with the command line below: >>>> /usr/bin/clang++ -dynamiclib -g -O3 -fno-math-errno -Wno-unused-label >>>> -Wno-unused-variable -Wno-write-strings -march=haswell >>>> -DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION -m64 -fPIC -undefined >>>> dynamic_lookup >>>> -I/Users/thomas/anaconda/lib/python2.7/site-packages/numpy/core/include >>>> -I/Users/thomas/anaconda/include/python2.7 >>>> -I/Users/thomas/anaconda/lib/python2.7/site-packages/theano/gof >>>> -L/Users/thomas/anaconda/lib -fvisibility=hidden -o >>>> /Users/thomas/.theano/compiledir_Darwin-16.4.0-x86_64-i386-64bit-i386-2.7.13-64/tmp5GtYpU/39a151e745f8754653c9e8ca5ea9cf75.so >>>> >>>> /Users/thomas/.theano/compiledir_Darwin-16.4.0-x86_64-i386-64bit-i386-2.7.13-64/tmp5GtYpU/mod.cpp >>>> /Users/thomas/.theano/compiledir_Darwin-16.4.0-x86_64-i386-64bit-i386-2.7.13-64/tmp5GtYpU/mod.cpp:894:21: >>>> >>>> warning: comparison of array 'outputs' equal to a null pointer is always >>>> false [-Wtautological-pointer-compare] >>>> if (outputs == NULL) { >>>> ^~~~~~~ ~~~~ >>>> /Users/thomas/.theano/compiledir_Darwin-16.4.0-x86_64-i386-64bit-i386-2.7.13-64/tmp5GtYpU/mod.cpp:919:54: >>>> >>>> error: arithmetic on a pointer to void >>>> PyArray_DATA(V3) + data_offset, >>>> ~~~~~~~~~~~~~~~~ ^ >>>> 1 warning and 1 error generated. >>>> >>>> Traceback (most recent call last): >>>> File "lstm_baseline.py", line 154, in <module> >>>> train = theano.function([l_in.input_var, target_values, >>>> l_mask.input_var], cost, updates=updates) >>>> File >>>> "/Users/thomas/anaconda/lib/python2.7/site-packages/theano/compile/function.py", >>>> >>>> line 326, in function >>>> output_keys=output_keys) >>>> File >>>> "/Users/thomas/anaconda/lib/python2.7/site-packages/theano/compile/pfunc.py", >>>> >>>> line 486, in pfunc >>>> output_keys=output_keys) >>>> ======/ SNAP /============ >>>> >>>> later on in theoutput: >>>> ======/ SNIP /============ >>>> Exception: ('The following error happened while compiling the node', >>>> Split{4}(Assert{msg='Theano Assert failed!'}.0, TensorConstant{1}, >>>> MakeVector{dtype='int64'}.0), '\n', "Compilation failed (return status=1): >>>> /Users/thomas/.theano/compiledir_Darwin-16.4.0-x86_64-i386-64bit-i386-2.7.13-64/tmp5GtYpU/mod.cpp:894:21: >>>> >>>> warning: comparison of array 'outputs' equal to a null pointer is always >>>> false [-Wtautological-pointer-compare]. if (outputs == >>>> NULL) {. ^~~~~~~ ~~~~. >>>> /Users/thomas/.theano/compiledir_Darwin-16.4.0-x86_64-i386-64bit-i386-2.7.13-64/tmp5GtYpU/mod.cpp:919:54: >>>> >>>> error: arithmetic on a pointer to void. >>>> >>>> PyArray_DATA(V3) + data_offset,. >>>> ~~~~~~~~~~~~~~~~ ^. 1 warning and 1 error generated.. ", '[*1 -> >>>> Split{4}(<TensorType(float64, matrix)>, TensorConstant{1}, >>>> <TensorType(int64, vector)>), *1::1, *1::2, *1::3]') >>>> ======/ SNAP /============ >>>> >>>> >>>> Now, I know that this code works because we have it up and running on >>>> another Mac with the same configuration APART from the clang version, >>>> which >>>> there is: >>>> Apple LLVM version 7.0.2 (clang-700.1.81) >>>> Target: x86_64-apple-darwin14.5.0 >>>> Thread model: posix >>>> >>>> The code also runs fine on a recent Ubuntu box. >>>> >>>> ==> So, it looks like the newer clang version is to blame for being >>>> more pedantic (?) with comparisons to NULL pointers (in the generated C >>>> code). Now, this behaviour is a little tricky to debug (to say the least). >>>> I have quadruple checked the Python code and it looks fine. The fact that >>>> it is running on two other of out machines and that the original author of >>>> it (Colin Raffel -- all kudos to him for the tutorial code) is using it in >>>> his tutorial tells me that my suspicion is not entirely wrong. >>>> >>>> I tried installing an older version of the command line tools for XCode >>>> (essentially the c-compiler) on my box to run it in parallel to the >>>> current >>>> version (which I need for other projects) but that did not work out. >>>> According to the apple developer forum I would need to install the >>>> complete >>>> (!) version of an older XCode package, which is not really an option. >>>> >>>> >>>> So, does anyone have a clue / experience / advise on this? >>>> >>>> Many thanks! >>>> Thomas >>>> >>> -- --- 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+unsubscr...@googlegroups.com. 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