cudaがAnacondaに正しくインストールされているかどうかを確認する方法
Anacondaで次のコマンドを使用してCudaをインストールしました
conda install -c anaconda cudatoolkit
以前、次のコマンドを使用してTensorflow GPUバージョンをインストールしました
conda install -c anaconda tensorflow-gpu
ただし、Tensorflow-gpuはアクティブではなく、次のスクリプトを実行すると：
from tensorflow.python.client import device_lib
print(device_lib.list_local_devices())
名前： "/ device：CPU：0"
device_type： "CPU"
memory_limit：268435456
ローカリティ{}インカネーション：12015853371339101357]
Anacondaを介してnumbaをインストールする場合、numba -s CUDAシステムが機能しているかどうかを確認します。 CUDAを使用したLinuxシステムの場合：
$ numba -s
System info:
--------------------------------------------------------------------------------
__Time Stamp__
2018-08-27 09:16:49.622828
__Hardware Information__
Machine : x86_64
CPU Name : ivybridge
CPU Features :
aes avx cmov cx16 f16c fsgsbase mmx pclmul popcnt rdrnd sse sse2 sse3 sse4.1
sse4.2 ssse3 xsave xsaveopt
__OS Information__
Platform : Linux-4.4.0-57-generic-x86_64-with-debian-jessie-sid
Release : 4.4.0-57-generic
System Name : Linux
Version : #78~14.04.1-Ubuntu SMP Sat Dec 10 00:14:47 UTC 2016
OS specific info : debianjessie/sid
glibc info : glibc 2.2.5
__Python Information__
Python Compiler : GCC 4.4.7 20120313 (Red Hat 4.4.7-1)
Python Implementation : CPython
Python Version : 3.6.0
Python Locale : en_US UTF-8
__LLVM information__
LLVM version : 6.0.0
__CUDA Information__
Found 1 CUDA devices
id 0 b'GeForce GTX 970' [SUPPORTED]
compute capability: 5.2
pci device id: 0
pci bus id: 1
Summary:
1/1 devices are supported
CUDA driver version : 9020
CUDA libraries:
Finding cublas
named libcublas.so.8.0.88
trying to open library... ok
Finding cusparse
named libcusparse.so.8.0.61
trying to open library... ok
Finding cufft
named libcufft.so.8.0.61
trying to open library... ok
Finding curand
named libcurand.so.8.0.61
trying to open library... ok
Finding nvvm
named libnvvm.so.3.1.0
trying to open library... ok
finding libdevice for compute_20... ok
finding libdevice for compute_30... ok
finding libdevice for compute_35... ok
finding libdevice for compute_50... ok
__Conda Information__
conda_build_version : not installed
conda_env_version : 4.5.4
platform : linux-64
python_version : 3.6.0.final.0
root_writable : False
__Current Conda Env__
absl-py 0.1.10 py36_0
accelerate_cudalib 2.0 0
bleach 1.5.0 py36_0
ca-certificates 2018.03.07 0
certifi 2018.4.16 py36_0
cffi 1.9.1 py36_0
conda 4.5.4 py36_0
conda-env 2.6.0 h36134e3_1
cryptography 1.7.1 py36_0
cudatoolkit 8.0 3
cudnn 7.0.5 cuda8.0_0
decorator 4.0.11 py36_0
html5lib 0.9999999 py36_0
idna 2.2 py36_0
intel-openmp 2018.0.0 hc7b2577_8
ipython 5.3.0 py36_0
ipython_genutils 0.2.0 py36_0
libffi 3.2.1 1
libgcc-ng 7.2.0 h7cc24e2_2
libgfortran 3.0.0 1
libgfortran-ng 7.2.0 hdf63c60_3
libprotobuf 3.5.1 h6f1eeef_0
libstdcxx-ng 7.2.0 hdf63c60_3
llvmlite 0.23.2 py36hdbcaa40_0
markdown 2.6.11 py36_0
mkl 2018.0.1 h19d6760_4
mpmath 0.19 py36_1
nccl 1.3.4 cuda8.0_1
numba 0.38.1 py36h04863e7_0
numpy 1.12.1 py36he24570b_1
openssl 1.0.2o h20670df_0
path.py 10.1 py36_0
pexpect 4.2.1 py36_0
pickleshare 0.7.4 py36_0
pip 9.0.1 py36_1
Prompt_toolkit 1.0.13 py36_0
protobuf 3.5.1 py36hf484d3e_0
ptyprocess 0.5.1 py36_0
pyasn1 0.1.9 py36_0
pycosat 0.6.3 py36h0a5515d_0
pycparser 2.17 py36_0
pyculib 1.0.2 np112py36_2
pyculib_sorting 1.0.0 8
pygments 2.2.0 py36_0
pyopenssl 16.2.0 py36_0
python 3.6.0 0
pytorch 0.3.0 py36cuda8.0cudnn7.0_0
readline 6.2 2
requests 2.12.4 py36_0
ruamel_yaml 0.11.14 py36_1
scipy 1.0.0 py36hbf646e7_0
setuptools 38.5.1 py36_0
simplegeneric 0.8.1 py36_1
six 1.10.0 py36_0
sqlite 3.13.0 0
sympy 1.1.1 py36_0
tensorflow 1.4.1 0
tensorflow-base 1.4.1 py36hd00c003_2
tensorflow-tensorboard 1.5.1 py36hf484d3e_0
tk 8.5.18 0
traitlets 4.3.2 py36_0
wcwidth 0.1.7 py36_0
werkzeug 0.14.1 py36_0
wheel 0.29.0 py36_0
xz 5.2.2 1
yaml 0.1.6 0
zlib 1.2.11 ha838bed_2
--------------------------------------------------------------------------------
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the dashed (----) lines, or from a given specific section as
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CUDA GPUが機能しないWindowsシステムの場合：
(base) >numba -s
System info:
--------------------------------------------------------------------------------
__Time Stamp__
2018-08-27 09:17:58.167285
__Hardware Information__
Machine : AMD64
CPU Name : haswell
CPU Features :
aes avx avx2 bmi bmi2 cmov cx16 f16c fma fsgsbase lzcnt mmx movbe pclmul popcnt
rdrnd sse sse2 sse3 sse4.1 sse4.2 ssse3 xsave xsaveopt
__OS Information__
Platform : Windows-7-6.1.7601-SP1
Release : 7
System Name : Windows
Version : 6.1.7601
OS specific info : 76.1.7601SP1Multiprocessor Free
__Python Information__
Python Compiler : MSC v.1900 64 bit (AMD64)
Python Implementation : CPython
Python Version : 3.6.4
Python Locale : sv_SE cp1252
__LLVM information__
LLVM version : 5.0.0
__CUDA Information__
CUDA driver library cannot be found or no CUDA enabled devices are present.
Error class: <class 'numba.cuda.cudadrv.error.CudaSupportError'>
__Conda Information__
conda_build_version : not installed
conda_env_version : 4.5.9
platform : win-64
python_version : 3.6.4.final.0
root_writable : True
__Current Conda Env__
alabaster 0.7.10 py36hcd07829_0
apptools 4.4.0 py36_0 conda-forge
asn1crypto 0.24.0 py36_0
astroid 1.6.1 py36_0
babel 2.5.3 py36_0
backports 1.0 py36_1 conda-forge
backports.functools_lru_cache 1.5 py_1 conda-forge
bleach 2.1.2 py36_0
blosc 1.14.3 he51fdeb_0
bzip2 1.0.6 vc14_1 [vc14] conda-forge
ca-certificates 2018.4.16 0 conda-forge
certifi 2018.4.16 py36_0 conda-forge
cffi 1.11.4 py36hfa6e2cd_0
chardet 3.0.4 py36h420ce6e_1
cloudpickle 0.5.2 py36_1
colorama 0.3.9 py36h029ae33_0
conda 4.5.9 py36_0 conda-forge
conda-env 2.6.0 h36134e3_1
configobj 5.0.6 py36_0
console_shortcut 0.1.1 h6bb2dd7_3
cryptography 2.1.4 py36he1d7878_0
cudatoolkit 8.0 3 anaconda
curl 7.59.0 vc14_1 [vc14] conda-forge
cycler 0.10.0 py36h009560c_0
decorator 4.2.1 py36_0
docutils 0.14 py36h6012d8f_0
entrypoints 0.2.3 py36hfd66bb0_2
envisage 4.5.1 py36_0 conda-forge
expat 2.2.5 vc14_0 [vc14] conda-forge
fastcache 1.0.2 py36_0 conda-forge
freetype 2.7 vc14_1 [vc14] conda-forge
future 0.16.0 py36_0 conda-forge
hdf4 4.2.13 vc14_0 [vc14] conda-forge
hdf5 1.10.1 vc14_2 [vc14] conda-forge
html5lib 1.0.1 py36h047fa9f_0
icc_rt 2017.0.4 h97af966_0
icu 58.2 vc14hc45fdbb_0 [vc14] anaconda
idna 2.6 py36h148d497_1
imagesize 1.0.0 py36_0
intel-openmp 2018.0.0 hd92c6cd_8
ipykernel 4.8.2 py36_0
ipython 6.2.1 py36h9cf0123_1
ipython_genutils 0.2.0 py36h3c5d0ee_0
ipywidgets 7.1.2 py36_0
isort 4.3.4 py36_0
jedi 0.11.1 py36_0
jinja2 2.10 py36h292fed1_0
jpeg 9b vc14h4d7706e_1 [vc14] anaconda
jsoncpp 1.8.1 vc14_0 [vc14] conda-forge
jsonschema 2.6.0 py36h7636477_0
jupyter 1.0.0 py36_4
jupyter_client 5.2.2 py36_0
jupyter_console 5.2.0 py36h6d89b47_1
jupyter_core 4.4.0 py36h56e9d50_0
keyring 13.2.1 py36_0 conda-forge
krb5 1.14.6 vc14_0 [vc14] conda-forge
lazy-object-proxy 1.3.1 py36hd1c21d2_0
libiconv 1.15 vc14_0 [vc14] conda-forge
libnetcdf 4.4.1.1 vc14_10 [vc14] conda-forge
libpng 1.6.32 vc14h5163883_3 [vc14] anaconda
libssh2 1.8.0 vc14_2 [vc14] conda-forge
libtiff 4.0.9 vc14_0 [vc14] conda-forge
libxml2 2.9.8 vc14_0 [vc14] conda-forge
llvmlite 0.22.0 py36ha794a7c_0
lz4-c 1.8.1 vc14_0 [vc14] conda-forge
m2w64-gcc-libgfortran 5.3.0 6
m2w64-gcc-libs 5.3.0 7
m2w64-gcc-libs-core 5.3.0 7
m2w64-gmp 6.1.0 2
m2w64-libwinpthread-git 5.0.0.4634.697f757 2
markupsafe 1.0 py36h0e26971_1
matplotlib 2.1.0 py36_0 conda-forge
mayavi 4.6.1 py36_vc14_0 [vc14] conda-forge
mccabe 0.6.1 py36hb41005a_1
menuinst 1.4.11 py36hfa6e2cd_0
mistune 0.8.3 py36_0
mkl 2018.0.1 h2108138_4
mpi4py 2.0.0 py36_1
mpmath 1.0.0 py_0 conda-forge
msys2-conda-Epoch 20160418 1
nbconvert 5.3.1 py36h8dc0fde_0
nbformat 4.4.0 py36h3a5bc1b_0
notebook 5.4.0 py36_0
numba 0.37.0 np113py36h3a37915_0
numexpr 2.6.5 py36_0 conda-forge
numpy 1.13.3 py36hb69e940_3
numpydoc 0.7.0 py36ha25429e_0
openssl 1.0.2o vc14_0 [vc14] conda-forge
packaging 16.8 py36ha0986f6_1
pandoc 1.19.2.1 hb2460c7_1
pandocfilters 1.4.2 py36h3ef6317_1
parso 0.1.1 py36hae3edee_0
pickleshare 0.7.4 py36h9de030f_0
pip 9.0.1 py36h226ae91_4
Prompt_toolkit 1.0.15 py36h60b8f86_0
psutil 5.4.3 py36hfa6e2cd_0
py4j 0.10.7 <pip>
pycodestyle 2.3.1 py36h7cc55cd_0
pycosat 0.6.3 py36h413d8a4_0
pycparser 2.18 py36hd053e01_1
pyface 6.0.0 py_1 conda-forge
pyflakes 1.6.0 py36h0b975d6_0
pygments 2.2.0 py36hb010967_0
pylint 1.8.2 py36_0
pyopenssl 17.5.0 py36h5b7d817_0
pyparsing 2.2.0 py36h785a196_1
pyqt 5.6.0 py36h764d66f_6 conda-forge
pysocks 1.6.7 py36h698d350_1
pytables 3.4.3 py36_8 conda-forge
python 3.6.4 h6538335_1
python-dateutil 2.6.1 py36h509ddcb_1
pytz 2018.3 py36_0
pywin32 222 py36hfa6e2cd_0
pywin32-ctypes 0.1.2 py36_0 conda-forge
pywinpty 0.5.1 py36_0
pyzmq 16.0.3 py36he714bf5_0
qt 5.6.2 vc14_1 [vc14] conda-forge
qtawesome 0.4.4 py36h5aa48f6_0
qtconsole 4.3.1 py36h99a29a9_0
qtpy 1.3.1 py36hb8717c5_0
requests 2.18.4 py36h4371aae_1
rope 0.10.7 py36had63a69_0
ruamel_yaml 0.15.35 py36hfa6e2cd_1
scipy 1.0.0 py36h1260518_0
send2trash 1.5.0 py36_0
setuptools 38.4.0 py36_0
sfepy 2018.1 py36_0 conda-forge
simplegeneric 0.8.1 py36_2
sip 4.18 py36_1 conda-forge
six 1.11.0 py36h4db2310_1
snappy 1.1.7 vc14_1 [vc14] conda-forge
snowballstemmer 1.2.1 py36h763602f_0
sphinx 1.7.1 py36_0
sphinxcontrib 1.0 py36hbbac3d2_1
sphinxcontrib-websupport 1.0.1 py36hb5e5916_1
spyder 3.3.0 py36_2 conda-forge
spyder-kernels 0.2.4 py_2 conda-forge
sqlite 3.20.1 vc14h7ce8c62_1 [vc14] anaconda
sympy 1.1.1 py36_0 conda-forge
tbb 2018_20171205 vc14_0 [vc14] conda-forge
TC-Python 2018.2.14768 <pip>
terminado 0.8.1 py36_1
testpath 0.3.1 py36h2698cfe_0
tornado 4.5.3 py36_0
traitlets 4.3.2 py36h096827d_0
traits 4.6.0 py36_1 conda-forge
traitsui 6.0.0 py_1 conda-forge
typing 3.6.4 py36_0
urllib3 1.22 py36h276f60a_0
vc 14 h0510ff6_3
vs2015_runtime 14.0.25123 3
vtk 8.1.0 py36_vc14_200 [vc14] conda-forge
wcwidth 0.1.7 py36h3d5aa90_0
webencodings 0.5.1 py36h67c50ae_1
wheel 0.30.0 py36h6c3ec14_1
widgetsnbextension 3.1.4 py36_0
win_inet_pton 1.0.1 py36he67d7fd_1
wincertstore 0.2 py36h7fe50ca_0
winpty 0.4.3 vc14_2 [vc14] conda-forge
wrapt 1.10.11 py36he5f5981_0
wxpython 4.0.0rc1.dev3440+0f9b36e py36_0 conda-forg
e
yaml 0.1.7 vc14hb31d195_1 [vc14] anaconda
zlib 1.2.11 vc14h1cdd9ab_1 [vc14] anaconda
--------------------------------------------------------------------------------
If requested, please copy and paste the information between
the dashed (----) lines, or from a given specific section as
appropriate.
=============================================================
IMPORTANT: Please ensure that you are happy with sharing the
contents of the information present, any information that you
wish to keep private you should remove before sharing.
=============================================================