我无法使用GPU而不是CPU使Tensorflow正常工作
简介
你好在数据挖掘任务中，我想对我的神经网络的超参数进行网格搜索。为此，我相信（在时间上）在GTX960 GPU上实现会更好。尽管付出了所有努力，但CPU仍在使用中。所以：
- 已经安装了anaconda并在jupyter笔记本中与keras一起使用，在已经安装了tensorflow（gpu和非gpu），tensorflow-base，tensorflow-estimator和tensorboard软件包的基本环境中，我去安装了CUDA。似乎安装得很好。
- 在
C:\Program Files\NVIDIA GPU Computing Toolkit中（在我的CUDA安装旁边），我解压缩了cuDNN文件。
对于上述情况，我遵循此guide，但没有测试部分，因为在我看来，没有无关紧要的内容。
- 我还尝试使用pip和conda卸载并重新安装tensorflow和tensorflow-gpu软件包。
一些重要的输出：
与此：
from tensorflow.python.client import device_lib
print(device_lib.list_local_devices())
我明白了：
[name: "/device:CPU:0"
device_type: "CPU"
memory_limit: 268435456
locality {
}
incarnation: 4215622435903604816
, name: "/device:GPU:0"
device_type: "GPU"
memory_limit: 3172404428
locality {
bus_id: 1
links {
}
}
incarnation: 10026766572860909741
physical_device_desc: "device: 0, name: GeForce GTX 960, pci bus id: 0000:01:00.0, compute capability: 5.2"
]
与此类似：
import tensorflow as tf
sess = tf.Session(config=tf.ConfigProto(log_device_placement=True))
我明白了：
Device mapping:
/job:localhost/replica:0/task:0/device:GPU:0 -> device: 0, name: GeForce GTX 960, pci bus id: 0000:01:00.0, compute capability: 5.2
我也曾经使用过
with tf.device('/GPU:0'):
//my code
不使用。
我也已经检查了这个：
(base) PS C:\Users\Stelios> numba -s
System info:
--------------------------------------------------------------------------------
__Time Stamp__
2019-12-21 19:17:50.842963
__Hardware Information__
Machine : AMD64
CPU Name : haswell
CPU count : 4
CPU Features :
64bit aes avx avx2 bmi bmi2 cmov cx16 f16c fma fsgsbase invpcid lzcnt mmx movbe
pclmul popcnt rdrnd sahf sse sse2 sse3 sse4.1 sse4.2 ssse3 xsave xsaveopt
__OS Information__
Platform : Windows-10-10.0.17763-SP0
Release : 10
System Name : Windows
Version : 10.0.17763
OS specific info : 1010.0.17763SP0Multiprocessor Free
__Python Information__
Python Compiler : MSC v.1915 64 bit (AMD64)
Python Implementation : CPython
Python Version : 3.7.3
Python Locale : en_US cp1253
__LLVM information__
LLVM version : 8.0.0
__CUDA Information__
Found 1 CUDA devices
id 0 b'GeForce GTX 960' [SUPPORTED]
compute capability: 5.2
pci device id: 0
pci bus id: 1
Summary:
1/1 devices are supported
CUDA driver version : 10020
CUDA libraries:
Finding cublas from Conda environment
named cublas64_100.dll
trying to open library... ok
Finding cusparse from Conda environment
named cusparse64_100.dll
trying to open library... ok
Finding cufft from Conda environment
named cufft64_100.dll
trying to open library... ok
Finding curand from Conda environment
named curand64_100.dll
trying to open library... ok
Finding nvvm from Conda environment
named nvvm64_33_0.dll
trying to open library... ok
Finding libdevice from Conda environment
searching for compute_20... ok
searching for compute_30... ok
searching for compute_35... ok
searching for compute_50... ok
__ROC Information__
ROC available : False
Error initialising ROC due to : No ROC toolchains found.
No HSA Agents found, encountered exception when searching:
Error at driver init:
HSA is not currently supported on this platform (win32).
:
__SVML Information__
SVML state, config.USING_SVML : True
SVML library found and loaded : True
llvmlite using SVML patched LLVM : True
SVML operational : True
__Threading Layer Information__
TBB Threading layer available : True
OpenMP Threading layer available : True
Workqueue Threading layer available : True
__Numba Environment Variable Information__
None set.
__Conda Information__
conda_build_version : 3.18.8
conda_env_version : 4.8.0
platform : win-64
python_version : 3.7.3.final.0
root_writable : True
__Current Conda Env__
_anaconda_depends 2019.03 py37_0
_ipyw_jlab_nb_ext_conf 0.1.0 py37_0
_tflow_select 2.1.0 gpu
absl-py 0.8.1 py37_0
alabaster 0.7.12 py37_0
anaconda custom py37_1
anaconda-client 1.7.2 py37_0
anaconda-navigator 1.9.7 py37_0
anaconda-project 0.8.4 py_0
argh 0.26.2 py37_0
asn1crypto 1.2.0 py37_0
astor 0.8.0 py37_0
astroid 2.3.3 py37_0
astropy 3.2.3 py37he774522_0
atomicwrites 1.3.0 py37_1
attrs 19.3.0 py_0
autopep8 1.4.4 py_0
babel 2.7.0 py_0
backcall 0.1.0 py37_0
backports 1.0 py_2
backports.functools_lru_cache 1.6.1 py_0
backports.os 0.1.1 py37_0
backports.shutil_get_terminal_size 1.0.0 py37_2
backports.tempfile 1.0 py_1
backports.weakref 1.0.post1 py_1
bcrypt 3.1.7 py37he774522_0
beautifulsoup4 4.8.1 py37_0
bitarray 1.2.0 py37he774522_0
bkcharts 0.2 py37_0
blas 1.0 mkl
bleach 3.1.0 py37_0
blosc 1.16.3 h7bd577a_0
bokeh 1.4.0 py37_0
boto 2.49.0 py37_0
bottleneck 1.3.1 py37h8c2d366_0
bzip2 1.0.8 he774522_0
ca-certificates 2019.11.27 0
certifi 2019.11.28 py37_0
cffi 1.13.2 py37h7a1dbc1_0
chardet 3.0.4 py37_1003
click 7.0 py37_0
cloudpickle 1.2.2 py_0
clyent 1.2.2 py37_1
colorama 0.4.3 py_0
comtypes 1.1.7 py37_0
conda 4.8.0 py37_1
conda-build 3.18.8 py37_0
conda-env 2.6.0 1
conda-package-handling 1.6.0 py37h62dcd97_0
conda-verify 3.4.2 py_1
console_shortcut 0.1.1 3
contextlib2 0.6.0.post1 py_0
cryptography 2.8 py37h7a1dbc1_0
cudatoolkit 10.0.130 0
cudnn 7.6.5 cuda10.0_0
curl 7.67.0 h2a8f88b_0
cycler 0.10.0 py37_0
cython 0.29.14 py37ha925a31_0
cytoolz 0.10.1 py37he774522_0
dask 2.9.0 py_0
dask-core 2.9.0 py_0
decorator 4.4.1 py_0
defusedxml 0.6.0 py_0
diff-match-patch 20181111 py_0
distributed 2.9.0 py_0
docutils 0.15.2 py37_0
entrypoints 0.3 py37_0
et_xmlfile 1.0.1 py37_0
fastcache 1.1.0 py37he774522_0
filelock 3.0.12 py_0
flake8 3.7.9 py37_0
flask 1.1.1 py_0
freetype 2.9.1 ha9979f8_1
fsspec 0.6.2 py_0
future 0.18.2 py37_0
gast 0.2.2 py37_0
get_terminal_size 1.0.0 h38e98db_0
gevent 1.4.0 py37he774522_0
glob2 0.7 py_0
google-pasta 0.1.8 py_0
greenlet 0.4.15 py37hfa6e2cd_0
grpcio 1.16.1 py37h351948d_1
h5py 2.9.0 py37h5e291fa_0
hdf5 1.10.4 h7ebc959_0
heapdict 1.0.1 py_0
html5lib 1.0.1 py37_0
hypothesis 4.54.2 py37_0
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha66f8fd_1
idna 2.8 py37_0
imageio 2.6.1 py37_0
imagesize 1.1.0 py37_0
importlib_metadata 1.3.0 py37_0
intel-openmp 2019.4 245
intervaltree 3.0.2 py_0
ipykernel 5.1.3 py37h39e3cac_0
ipython 7.10.2 py37h39e3cac_0
ipython_genutils 0.2.0 py37_0
ipywidgets 7.5.1 py_0
isort 4.3.21 py37_0
itsdangerous 1.1.0 py37_0
jdcal 1.4.1 py_0
jedi 0.14.1 py37_0
jinja2 2.10.3 py_0
joblib 0.14.1 py_0
jpeg 9b hb83a4c4_2
json5 0.8.5 py_0
jsonschema 3.2.0 py37_0
jupyter 1.0.0 py37_7
jupyter-contrib-core 0.3.3 pypi_0 pypi
jupyter-contrib-nbextensions 0.5.1 pypi_0 pypi
jupyter-highlight-selected-word 0.2.0 pypi_0 pypi
jupyter-latex-envs 1.4.6 pypi_0 pypi
jupyter-nbextensions-configurator 0.4.1 pypi_0 pypi
jupyter_client 5.3.4 py37_0
jupyter_console 5.2.0 py37_1
jupyter_core 4.6.1 py37_0
jupyterlab 1.2.4 pyhf63ae98_0
jupyterlab_server 1.0.6 py_0
keras 2.2.4 0
keras-applications 1.0.8 py_0
keras-base 2.2.4 py37_0
keras-gpu 2.2.4 0
keras-preprocessing 1.1.0 py_1
keyring 20.0.0 py37_0
kiwisolver 1.1.0 py37ha925a31_0
krb5 1.16.4 hc04afaa_0
lazy-object-proxy 1.4.3 py37he774522_0
libarchive 3.3.3 h0643e63_5
libcurl 7.67.0 h2a8f88b_0
libiconv 1.15 h1df5818_7
liblief 0.9.0 ha925a31_2
libmklml 2019.0.5 0
libpng 1.6.37 h2a8f88b_0
libprotobuf 3.11.2 h7bd577a_0
libsodium 1.0.16 h9d3ae62_0
libspatialindex 1.9.3 h33f27b4_0
libssh2 1.8.2 h7a1dbc1_0
libtiff 4.1.0 h56a325e_0
libxml2 2.9.9 h464c3ec_0
libxslt 1.1.33 h579f668_0
llvmlite 0.30.0 py37ha925a31_0
locket 0.2.0 py37_1
lxml 4.4.2 py37h1350720_0
lz4-c 1.8.1.2 h2fa13f4_0
lzo 2.10 h6df0209_2
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
markdown 3.1.1 py37_0
markupsafe 1.1.1 py37he774522_0
matplotlib 3.1.1 py37hc8f65d3_0
mccabe 0.6.1 py37_1
menuinst 1.4.16 py37he774522_0
mistune 0.8.4 py37he774522_0
mkl 2019.4 245
mkl-service 2.3.0 py37hb782905_0
mkl_fft 1.0.15 py37h14836fe_0
mkl_random 1.1.0 py37h675688f_0
mock 3.0.5 py37_0
more-itertools 8.0.2 py_0
mpmath 1.1.0 py37_0
msgpack-python 0.6.1 py37h74a9793_1
msys2-conda-epoch 20160418 1
multipledispatch 0.6.0 py37_0
navigator-updater 0.2.1 py37_0
nbconvert 5.6.1 py37_0
nbformat 4.4.0 py37_0
networkx 2.4 py_0
nltk 3.4.5 py37_0
nose 1.3.7 py37_2
notebook 6.0.2 py37_0
numba 0.46.0 py37hf9181ef_0
numexpr 2.7.0 py37hdce8814_0
numpy 1.17.4 py37h4320e6b_0
numpy-base 1.17.4 py37hc3f5095_0
numpydoc 0.9.1 py_0
olefile 0.46 py37_0
openpyxl 3.0.2 py_0
openssl 1.1.1d he774522_3
opt_einsum 3.1.0 py_0
packaging 19.2 py_0
pandas 0.25.3 py37ha925a31_0
pandoc 2.2.3.2 0
pandocfilters 1.4.2 py37_1
paramiko 2.6.0 py37_0
parso 0.5.2 py_0
partd 1.1.0 py_0
path 13.1.0 py37_0
path.py 12.4.0 0
pathlib2 2.3.5 py37_0
pathtools 0.1.2 py_1
patsy 0.5.1 py37_0
pep8 1.7.1 py37_0
pexpect 4.7.0 py37_0
pickleshare 0.7.5 py37_0
pillow 6.2.1 py37hdc69c19_0
pip 19.3.1 py37_0
pkginfo 1.5.0.1 py37_0
pluggy 0.13.1 py37_0
ply 3.11 py37_0
powershell_shortcut 0.0.1 2
prometheus_client 0.7.1 py_0
prompt_toolkit 3.0.2 py_0
protobuf 3.11.2 py37h33f27b4_0
psutil 5.6.7 py37he774522_0
py 1.8.0 py37_0
py-lief 0.9.0 py37ha925a31_2
pycodestyle 2.5.0 py37_0
pycosat 0.6.3 py37he774522_0
pycparser 2.19 py37_0
pycrypto 2.6.1 py37hfa6e2cd_9
pycurl 7.43.0.3 py37h7a1dbc1_0
pydocstyle 4.0.1 py_0
pyflakes 2.1.1 py37_0
pygments 2.5.2 py_0
pylint 2.4.4 py37_0
pympler 0.7 py_0
pynacl 1.3.0 py37h62dcd97_0
pyodbc 4.0.27 py37ha925a31_0
pyopenssl 19.1.0 py37_0
pyparsing 2.4.5 py_0
pyqt 5.9.2 py37h6538335_2
pyreadline 2.1 py37_1
pyrsistent 0.15.6 py37he774522_0
pysocks 1.7.1 py37_0
pytables 3.6.1 py37h1da0976_0
pytest 5.3.2 py37_0
pytest-arraydiff 0.3 py37h39e3cac_0
pytest-astropy 0.7.0 py_0
pytest-astropy-header 0.1.1 py_0
pytest-doctestplus 0.5.0 py_0
pytest-openfiles 0.4.0 py_0
pytest-remotedata 0.3.2 py37_0
python 3.7.3 h8c8aaf0_1
python-dateutil 2.8.1 py_0
python-jsonrpc-server 0.3.2 py_0
python-language-server 0.31.2 py37_0
python-libarchive-c 2.8 py37_13
pytz 2019.3 py_0
pywavelets 1.1.1 py37he774522_0
pywin32 227 py37he774522_0
pywin32-ctypes 0.2.0 py37_0
pywinpty 0.5.7 py37_0
pyyaml 5.2 py37he774522_0
pyzmq 18.1.0 py37ha925a31_0
qdarkstyle 2.7 py_0
qt 5.9.7 vc14h73c81de_0
qtawesome 0.6.0 py_0
qtconsole 4.6.0 py_0
qtpy 1.9.0 py_0
requests 2.22.0 py37_1
rope 0.14.0 py_0
rtree 0.8.3 py37_0
ruamel_yaml 0.15.87 py37he774522_0
scikit-image 0.15.0 py37ha925a31_0
scikit-learn 0.22 py37h6288b17_0
scipy 1.3.2 py37h29ff71c_0
seaborn 0.9.0 pyh91ea838_1
send2trash 1.5.0 py37_0
setuptools 42.0.2 py37_0
simplegeneric 0.8.1 py37_2
singledispatch 3.4.0.3 py37_0
sip 4.19.8 py37h6538335_0
six 1.13.0 py37_0
snappy 1.1.7 h777316e_3
snowballstemmer 2.0.0 py_0
sortedcollections 1.1.2 py37_0
sortedcontainers 2.1.0 py37_0
soupsieve 1.9.5 py37_0
sphinx 2.3.0 py_0
sphinxcontrib 1.0 py37_1
sphinxcontrib-applehelp 1.0.1 py_0
sphinxcontrib-devhelp 1.0.1 py_0
sphinxcontrib-htmlhelp 1.0.2 py_0
sphinxcontrib-jsmath 1.0.1 py_0
sphinxcontrib-qthelp 1.0.2 py_0
sphinxcontrib-serializinghtml 1.1.3 py_0
sphinxcontrib-websupport 1.1.2 py_0
spyder 4.0.0 py37_0
spyder-kernels 1.8.1 py37_0
sqlalchemy 1.3.11 py37he774522_0
sqlite 3.30.1 he774522_0
statsmodels 0.10.1 py37h8c2d366_0
sympy 1.5 py37_0
tbb 2019.4 h74a9793_0
tblib 1.6.0 py_0
tensorboard 2.0.0 pyhb38c66f_1
tensorflow 2.0.0 pypi_0 pypi
tensorflow-base 1.15.0 gpu_py37h1afeea4_0
tensorflow-estimator 2.1.0 pypi_0 pypi
tensorflow-gpu 1.15.0 h0d30ee6_0
termcolor 1.1.0 py37_1
terminado 0.8.3 py37_0
testpath 0.4.4 py_0
tk 8.6.8 hfa6e2cd_0
toolz 0.10.0 py_0
tornado 6.0.3 py37he774522_0
tqdm 4.40.2 py_0
traitlets 4.3.3 py37_0
ujson 1.35 py37hfa6e2cd_0
unicodecsv 0.14.1 py37_0
urllib3 1.25.7 py37_0
vc 14.1 h0510ff6_4
vs2015_runtime 14.16.27012 hf0eaf9b_1
watchdog 0.9.0 py37_1
wcwidth 0.1.7 py37_0
webencodings 0.5.1 py37_1
werkzeug 0.16.0 py_0
wheel 0.33.6 py37_0
widgetsnbextension 3.5.1 py37_0
win_inet_pton 1.1.0 py37_0
win_unicode_console 0.5 py37_0
wincertstore 0.2 py37_0
winpty 0.4.3 4
wrapt 1.11.2 py37he774522_0
xlrd 1.2.0 py37_0
xlsxwriter 1.2.6 py_0
xlwings 0.16.3 py37_0
xlwt 1.3.0 py37_0
xz 5.2.4 h2fa13f4_4
yaml 0.1.7 hc54c509_2
yapf 0.28.0 py_0
zeromq 4.3.1 h33f27b4_3
zict 1.0.0 py_0
zipp 0.6.0 py_0
zlib 1.2.11 h62dcd97_3
zstd 1.3.7 h508b16e_0
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也：
- 遵循this之后，我继续将所有cuDNN文件扔到CUDA安装中，除了没有帮助外，我只是怕我毁了CUDA安装。
关于我的路径变量
现在就是这样：
任何输入表示赞赏，因为我真的被卡住了。干杯。
0 个答案:
没有答案
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