'(Conda)Tensorflow-gpu installing
My goal is to use gpu(GE FORCE GTX 850M). I have tried according to this guide(https://docs.anaconda.com/anaconda/user-guide/tasks/tensorflow/). Tensoflow 2.8 is installed and keras also. But when I execute the test code, the output is as below. It must be that the code does not or cannot use gpu. What went wrong?
(my_tf) PS C:\WINDOWS\system32> python -c "import tensorflow as tf;print(tf.reduce_sum(tf.random.normal([1000, 1000])))"
2022-03-01 23:30:30.626829: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN)to use the following CPU instructions in performance-critical operations: AVX AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
※ Below is all the installed packages(Name/Version/Build/Channel) at my C:\Anaconda3
_ipyw_jlab_nb_ext_conf 0.1.0 py38_0
_py-xgboost-mutex 2.0 cpu_0
absl-py 0.15.0 pyhd3eb1b0_0
anaconda-client 1.9.0 py38haa95532_0
anaconda-navigator 2.1.2 py38haa95532_0
anyio 3.5.0 py38haa95532_0
argon2-cffi 21.3.0 pyhd3eb1b0_0
argon2-cffi-bindings 21.2.0 py38h2bbff1b_0
astunparse 1.6.3 pypi_0 pypi
attrs 21.4.0 pyhd3eb1b0_0
babel 2.9.1 pyhd3eb1b0_0
backcall 0.2.0 pyhd3eb1b0_0
backports 1.1 pyhd3eb1b0_0
backports.functools_lru_cache 1.6.4 pyhd3eb1b0_0
backports.tempfile 1.0 pyhd3eb1b0_1
backports.weakref 1.0.post1 py_1
beautifulsoup4 4.10.0 pyh06a4308_0
blas 1.0 mkl
bleach 4.1.0 pyhd3eb1b0_0
bottleneck 1.3.2 py38h2a96729_1
brotli 1.0.9 ha925a31_2
brotlipy 0.7.0 py38h2bbff1b_1003
bs4 0.0.1 pypi_0 pypi
bzip2 1.0.8 he774522_0
ca-certificates 2021.10.26 haa95532_4
cachetools 5.0.0 pypi_0 pypi
certifi 2021.10.8 py38haa95532_2
cffi 1.15.0 py38h2bbff1b_1
chardet 4.0.0 py38haa95532_1003
charset-normalizer 2.0.4 pyhd3eb1b0_0
chime 0.6.0 pypi_0 pypi
click 8.0.3 pyhd3eb1b0_0
clyent 1.2.2 py38_1
colorama 0.4.4 pyhd3eb1b0_0
conda 4.11.0 py38haa95532_0
conda-build 3.21.7 py38haa95532_1
conda-content-trust 0.1.1 pyhd3eb1b0_0
conda-env 2.6.0 haa95532_1
conda-package-handling 1.7.3 py38h8cc25b3_1
conda-repo-cli 1.0.4 pyhd3eb1b0_0
conda-token 0.3.0 pyhd3eb1b0_0
conda-verify 3.4.2 py_1
console_shortcut 0.1.1 4
cryptography 3.4.8 py38h71e12ea_0
cupy 7.0.0 pypi_0 pypi
cycler 0.11.0 pyhd3eb1b0_0
datetime 4.3 pypi_0 pypi
debugpy 1.5.1 py38hd77b12b_0
decorator 5.1.1 pyhd3eb1b0_0
defusedxml 0.7.1 pyhd3eb1b0_0
descartes 1.1.0 pyhd3eb1b0_4
entrypoints 0.3 py38_0
fastrlock 0.8 pypi_0 pypi
filelock 3.4.2 pyhd3eb1b0_0
flatbuffers 2.0 pypi_0 pypi
fonttools 4.25.0 pyhd3eb1b0_0
freetype 2.10.4 hd328e21_0
future 0.18.2 py38_1
gast 0.5.3 pyhd3eb1b0_0
glob2 0.7 pyhd3eb1b0_0
google-auth 2.6.0 pypi_0 pypi
google-auth-oauthlib 0.4.6 pypi_0 pypi
google-pasta 0.2.0 pypi_0 pypi
graphviz 2.38 hfd603c8_2
grpcio 1.44.0 pypi_0 pypi
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha925a31_3
idna 3.3 pyhd3eb1b0_0
imap-tools 0.34.0 pypi_0 pypi
importlib-metadata 4.11.1 pypi_0 pypi
importlib_metadata 4.8.2 hd3eb1b0_0
intel-openmp 2021.4.0 haa95532_3556
ipykernel 6.4.1 py38haa95532_1
ipython 7.31.1 py38haa95532_0
ipython_genutils 0.2.0 pyhd3eb1b0_1
ipywidgets 7.6.5 pyhd3eb1b0_1
jedi 0.18.1 py38haa95532_1
jinja2 2.11.3 pyhd3eb1b0_0
joblib 1.1.0 pyhd3eb1b0_0
jpeg 9d h2bbff1b_0
json5 0.9.6 pyhd3eb1b0_0
jsonschema 3.2.0 pyhd3eb1b0_2
jupyter_client 7.1.2 pyhd3eb1b0_0
jupyter_core 4.9.1 py38haa95532_0
jupyter_server 1.13.5 pyhd3eb1b0_0
jupyterlab 3.2.9 pyhd3eb1b0_0
jupyterlab_pygments 0.1.2 py_0
jupyterlab_server 2.10.3 pyhd3eb1b0_1
jupyterlab_widgets 1.0.0 pyhd3eb1b0_1
keras 2.8.0 pypi_0 pypi
keras-preprocessing 1.1.2 pypi_0 pypi
kiwisolver 1.3.2 py38hd77b12b_0
libarchive 3.4.2 h5e25573_0
libclang 13.0.0 pypi_0 pypi
libiconv 1.15 h1df5818_7
liblief 0.10.1 ha925a31_0
libpng 1.6.37 h2a8f88b_0
libtiff 4.2.0 hd0e1b90_0
libwebp 1.2.2 h2bbff1b_0
libxgboost 1.5.0 hd77b12b_1
libxml2 2.9.12 h0ad7f3c_0
lz4-c 1.9.3 h2bbff1b_1
markdown 3.3.6 pypi_0 pypi
markupsafe 2.0.1 py38h2bbff1b_0
matplotlib 3.5.1 py38haa95532_0
matplotlib-base 3.5.1 py38hd77b12b_0
matplotlib-inline 0.1.2 pyhd3eb1b0_2
menuinst 1.4.18 py38h59b6b97_0
mistune 0.8.4 py38he774522_1000
mizani 0.7.3 pyhd8ed1ab_0 conda-forge
mkl 2021.4.0 haa95532_640
mkl-service 2.4.0 py38h2bbff1b_0
mkl_fft 1.3.1 py38h277e83a_0
mkl_random 1.2.2 py38hf11a4ad_0
mouseinfo 0.1.3 pypi_0 pypi
multitasking 0.0.10 pypi_0 pypi
munkres 1.1.4 py_0
navigator-updater 0.2.1 py38_1
nbclassic 0.3.5 pyhd3eb1b0_0
nbclient 0.5.11 pyhd3eb1b0_0
nbconvert 6.1.0 py38haa95532_0
nbformat 5.1.3 pyhd3eb1b0_0
nest-asyncio 1.5.1 pyhd3eb1b0_0
notebook 6.4.8 py38haa95532_0
numexpr 2.8.1 py38hb80d3ca_0
numpy 1.22.2 pypi_0 pypi
numpy-base 1.21.5 py38hc2deb75_0
oauthlib 3.2.0 pypi_0 pypi
olefile 0.46 pyhd3eb1b0_0
openssl 1.1.1m h2bbff1b_0
opt-einsum 3.3.0 pypi_0 pypi
packaging 21.3 pyhd3eb1b0_0
palettable 3.3.0 pyhd3eb1b0_0
pandas 1.4.1 py38hd77b12b_0
pandas-datareader 0.10.0 pypi_0 pypi
pandocfilters 1.5.0 pyhd3eb1b0_0
parso 0.8.3 pyhd3eb1b0_0
patsy 0.5.2 py38haa95532_1
pickleshare 0.7.5 pyhd3eb1b0_1003
pillow 8.4.0 py38hd45dc43_0
pip 22.0.3 pypi_0 pypi
pkginfo 1.8.2 pyhd3eb1b0_0
plotnine 0.8.0 pyhd8ed1ab_0 conda-forge
powershell_shortcut 0.0.1 3
prometheus_client 0.13.1 pyhd3eb1b0_0
prompt-toolkit 3.0.20 pyhd3eb1b0_0
protobuf 3.19.4 pypi_0 pypi
psutil 5.8.0 py38h2bbff1b_1
py-lief 0.10.1 py38ha925a31_0
py-xgboost 1.5.0 py38haa95532_1
pyasn1 0.4.8 pypi_0 pypi
pyasn1-modules 0.2.8 pypi_0 pypi
pyautogui 0.9.52 pypi_0 pypi
pybithumb 1.0.21 pypi_0 pypi
pycosat 0.6.3 py38h2bbff1b_0
pycparser 2.21 pyhd3eb1b0_0
pygetwindow 0.0.9 pypi_0 pypi
pygments 2.11.2 pyhd3eb1b0_0
pyjwt 2.1.0 py38haa95532_0
pykorbit 0.1.10 pypi_0 pypi
pymsgbox 1.0.9 pypi_0 pypi
pyopenssl 19.1.0 py38_0
pyparsing 3.0.4 pyhd3eb1b0_0
pyperclip 1.8.1 pypi_0 pypi
pyqt 5.9.2 py38hd77b12b_6
pyqt5 5.15.4 pypi_0 pypi
pyqt5-qt5 5.15.2 pypi_0 pypi
pyqt5-sip 12.9.0 pypi_0 pypi
pyqtchart 5.15.4 pypi_0 pypi
pyqtchart-qt5 5.15.2 pypi_0 pypi
pyrect 0.1.4 pypi_0 pypi
pyrsistent 0.18.0 py38h196d8e1_0
pyscreeze 0.1.26 pypi_0 pypi
pysocks 1.7.1 py38haa95532_0
python 3.8.12 h6244533_0
python-dateutil 2.8.2 pyhd3eb1b0_0
python-graphviz 0.16 pyhd3eb1b0_1
python-libarchive-c 2.9 pyhd3eb1b0_1
pytweening 1.0.3 pypi_0 pypi
pytz 2021.3 pyhd3eb1b0_0
pyupbit 0.2.21 pypi_0 pypi
pywin32 302 py38h827c3e9_1
pywinauto 0.6.8 pypi_0 pypi
pywinpty 2.0.2 py38h5da7b33_0
pyyaml 6.0 py38h2bbff1b_1
pyzmq 22.3.0 py38hd77b12b_2
qt 5.9.7 vc14h73c81de_0
qtpy 1.11.2 pyhd3eb1b0_0
requests 2.27.1 pyhd3eb1b0_0
requests-oauthlib 1.3.1 pypi_0 pypi
rsa 4.8 pypi_0 pypi
ruamel_yaml 0.15.100 py38h2bbff1b_0
scikit-learn 1.0.2 py38hf11a4ad_1
scipy 1.7.3 py38h0a974cb_0
selenium 3.141.0 pypi_0 pypi
send2trash 1.8.0 pyhd3eb1b0_1
setuptools 58.0.4 py38haa95532_0
sip 4.19.13 py38hd77b12b_0
six 1.16.0 pyhd3eb1b0_1
sniffio 1.2.0 py38haa95532_1
soupsieve 2.3.1 pyhd3eb1b0_0
sqlite 3.37.2 h2bbff1b_0
statsmodels 0.13.0 py38h2bbff1b_0
tensorboard 2.8.0 pypi_0 pypi
tensorboard-data-server 0.6.1 pypi_0 pypi
tensorboard-plugin-wit 1.8.1 pypi_0 pypi
tensorflow 2.8.0 pypi_0 pypi
tensorflow-io-gcs-filesystem 0.24.0 pypi_0 pypi
termcolor 1.1.0 pypi_0 pypi
terminado 0.13.1 py38haa95532_0
testpath 0.5.0 pyhd3eb1b0_0
tf-estimator-nightly 2.8.0.dev2021122109 pypi_0 pypi
threadpoolctl 2.2.0 pyh0d69192_0
tk 8.6.11 h2bbff1b_0
tornado 6.1 py38h2bbff1b_0
tqdm 4.62.3 pyhd3eb1b0_1
traitlets 5.1.1 pyhd3eb1b0_0
typing-extensions 3.10.0.2 hd3eb1b0_0
typing_extensions 3.10.0.2 pyh06a4308_0
ujson 4.0.2 py38hd77b12b_0
urllib3 1.26.8 pyhd3eb1b0_0
utils 1.0.1 pypi_0 pypi
vc 14.2 h21ff451_1
vs2015_runtime 14.27.29016 h5e58377_2
wcwidth 0.2.5 pyhd3eb1b0_0
webencodings 0.5.1 py38_1
websocket-client 0.58.0 py38haa95532_4
websockets 9.1 pypi_0 pypi
wheel 0.37.1 pyhd3eb1b0_0
widgetsnbextension 3.5.2 py38haa95532_0
win_inet_pton 1.1.0 py38haa95532_0
wincertstore 0.2 py38haa95532_2
winpty 0.4.3 4
xgboost 1.5.0 py38haa95532_1
xz 5.2.5 h62dcd97_0
yaml 0.2.5 he774522_0
yfinance 0.1.66 pypi_0 pypi
zipp 3.7.0 pyhd3eb1b0_0
zlib 1.2.11 h8cc25b3_4
zstd 1.4.9 h19a0ad4_0
Solution 1:[1]
The anaconda guide looks outdated, because since Tensorflow 2.0, tensorflow and tensorflow-gpu are merged into one.
If you are using Tensorflow 2, I would advise you this guide https://www.tensorflow.org/install/gpu which has worked for me (do not download the latest cuDNN SDK version which is bugged but the one indicated in the tutorial)
Solution 2:[2]
At this guide https://www.tensorflow.org/install/source_windows, sort of version configuration helped.
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | Pierrotb1 |
| Solution 2 | Soon |