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Archlinux Linux pm 4.6.2-1-ARCH #1 SMP PREEMPT Wed Jun 8 08:40:59 CEST 2016 x86_64 GNU/Linux VGA compatible controller: NVIDIA Corporation GK107M [GeForce GT 755M](rev a1)
$ LANG=C pacman -Ss cuda community/cuda 7.5.18-2 [installed] NVIDIA's GPU programming toolkit community/pycuda-headers 2016.1.1-1 [installed] Python wrapper for Nvidia CUDA community/python-pycuda 2016.1.1-1 [installed] Python wrapper for Nvidia CUDA community/python2-pycuda 2016.1.1-1 [installed] Python wrapper for Nvidia CUDA
$ LANG=C pip install git+https://github.com/andersbll/cudarray Collecting git+https://github.com/andersbll/cudarray Cloning https://github.com/andersbll/cudarray to /tmp/pip-0e3v1cvw-build Requirement already satisfied (use --upgrade to upgrade): cython>=0.21 in ./env/lib/python3.5/site-packages (from cudarray==0.1.dev0) Requirement already satisfied (use --upgrade to upgrade): numpy>=1.8 in ./env/lib/python3.5/site-packages (from cudarray==0.1.dev0) Installing collected packages: cudarray Running setup.py install for cudarray ... error Complete output from command /home/scailer/projects/local/neural_artistic_style/neural_artistic_style/env/bin/python3 -u -c "import setuptools, tokenize;__file__='/tmp/pip-0e3v1cvw-build/setup.py';exec(compile(getattr(tokenize, 'open', open)(__file__).read().replace('\r\n', '\n'), __file__, 'exec'))" install --record /tmp/pip-ss1gsh0v-record/install-record.txt --single-version-externally-managed --compile --install-headers /home/scailer/projects/local/neural_artistic_style/neural_artistic_style/env/include/site/python3.5/cudarray: /home/scailer/projects/local/neural_artistic_style/neural_artistic_style/env/lib/python3.5/site-packages/setuptools/dist.py:285: UserWarning: Normalizing '0.1.dev' to '0.1.dev0' normalized_version, running install running build running build_py creating build creating build/lib.linux-x86_64-3.5 creating build/lib.linux-x86_64-3.5/cudarray copying cudarray/reduction.py -> build/lib.linux-x86_64-3.5/cudarray copying cudarray/random.py -> build/lib.linux-x86_64-3.5/cudarray copying cudarray/linalg.py -> build/lib.linux-x86_64-3.5/cudarray copying cudarray/helpers.py -> build/lib.linux-x86_64-3.5/cudarray copying cudarray/elementwise.py -> build/lib.linux-x86_64-3.5/cudarray copying cudarray/cudarray.py -> build/lib.linux-x86_64-3.5/cudarray copying cudarray/base.py -> build/lib.linux-x86_64-3.5/cudarray copying cudarray/__init__.py -> build/lib.linux-x86_64-3.5/cudarray creating build/lib.linux-x86_64-3.5/cudarray/wrap copying cudarray/wrap/__init__.py -> build/lib.linux-x86_64-3.5/cudarray/wrap creating build/lib.linux-x86_64-3.5/cudarray/numpy_backend copying cudarray/numpy_backend/__init__.py -> build/lib.linux-x86_64-3.5/cudarray/numpy_backend creating build/lib.linux-x86_64-3.5/cudarray/nnet copying cudarray/nnet/special.py -> build/lib.linux-x86_64-3.5/cudarray/nnet copying cudarray/nnet/pool.py -> build/lib.linux-x86_64-3.5/cudarray/nnet copying cudarray/nnet/math.py -> build/lib.linux-x86_64-3.5/cudarray/nnet copying cudarray/nnet/image.py -> build/lib.linux-x86_64-3.5/cudarray/nnet copying cudarray/nnet/conv.py -> build/lib.linux-x86_64-3.5/cudarray/nnet copying cudarray/nnet/__init__.py -> build/lib.linux-x86_64-3.5/cudarray/nnet creating build/lib.linux-x86_64-3.5/cudarray/extra copying cudarray/extra/array.py -> build/lib.linux-x86_64-3.5/cudarray/extra copying cudarray/extra/__init__.py -> build/lib.linux-x86_64-3.5/cudarray/extra creating build/lib.linux-x86_64-3.5/cudarray/batch copying cudarray/batch/linalg.py -> build/lib.linux-x86_64-3.5/cudarray/batch copying cudarray/batch/__init__.py -> build/lib.linux-x86_64-3.5/cudarray/batch creating build/lib.linux-x86_64-3.5/cudarray/numpy_backend/nnet copying cudarray/numpy_backend/nnet/special.py -> build/lib.linux-x86_64-3.5/cudarray/numpy_backend/nnet copying cudarray/numpy_backend/nnet/pool.py -> build/lib.linux-x86_64-3.5/cudarray/numpy_backend/nnet copying cudarray/numpy_backend/nnet/conv.py -> build/lib.linux-x86_64-3.5/cudarray/numpy_backend/nnet copying cudarray/numpy_backend/nnet/activations.py -> build/lib.linux-x86_64-3.5/cudarray/numpy_backend/nnet copying cudarray/numpy_backend/nnet/__init__.py -> build/lib.linux-x86_64-3.5/cudarray/numpy_backend/nnet running build_ext cythoning ./cudarray/wrap/cudart.pyx to ./cudarray/wrap/cudart.cpp building 'cudarray.wrap.cudart' extension creating build/temp.linux-x86_64-3.5 creating build/temp.linux-x86_64-3.5/cudarray creating build/temp.linux-x86_64-3.5/cudarray/wrap gcc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -march=x86-64 -mtune=generic -O2 -pipe -fstack-protector-strong -fPIC -I/usr/local/cuda/include -I./include -I/home/scailer/projects/local/neural_artistic_style/neural_artistic_style/env/lib/python3.5/site-packages/numpy/core/include -I/home/scailer/projects/local/neural_artistic_style/neural_artistic_style/env/lib/python3.5/site-packages/numpy/core/include -I/usr/include/python3.5m -c ./cudarray/wrap/cudart.cpp -o build/temp.linux-x86_64-3.5/./cudarray/wrap/cudart.o -O3 -fPIC -Wall -Wfatal-errors cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++ ./cudarray/wrap/cudart.cpp:272:26: fatal error: driver_types.h: No such file or directory #include "driver_types.h" ^ compilation terminated. error: command 'gcc' failed with exit status 1 ---------------------------------------- Command "/home/scailer/projects/local/neural_artistic_style/neural_artistic_style/env/bin/python3 -u -c "import setuptools, tokenize;__file__='/tmp/pip-0e3v1cvw-build/setup.py';exec(compile(getattr(tokenize, 'open', open)(__file__).read().replace('\r\n', '\n'), __file__, 'exec'))" install --record /tmp/pip-ss1gsh0v-record/install-record.txt --single-version-externally-managed --compile --install-headers /home/scailer/projects/local/neural_artistic_style/neural_artistic_style/env/include/site/python3.5/cudarray" failed with error code 1 in /tmp/pip-0e3v1cvw-build/
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I don't think you can install directly through pip. Check the installation instructions.
pip
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Thank you for your answer! I'm successfully run code on AWS EC on Ubuntu. May be useful links for someone:
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Archlinux
Linux pm 4.6.2-1-ARCH #1 SMP PREEMPT Wed Jun 8 08:40:59 CEST 2016 x86_64 GNU/Linux
VGA compatible controller: NVIDIA Corporation GK107M [GeForce GT 755M](rev a1)
The text was updated successfully, but these errors were encountered: