Tensorflow doesn't seem to see my gpu

Question

I\'ve tried tensorflow on both cuda 7.5 and 8.0, w/o cudnn (my GPU is old, cudnn doesn\'t support it).

When I execute device_lib.list_local_devices(),

Answer 1

I was using Ubuntu and had to downgrade Python to 3.6.9. I also had to use tensorflow-gpu instead of just plain tensorflow, I believe. Regardless, here is the environment I am currently using:

absl-py==0.9.0
alabaster==0.7.12
alembic==1.4.3
appdirs==1.4.3
apt-clone==0.2.1
apturl==0.5.2
argh==0.26.2
asn1crypto==1.3.0
astor==0.8.1
astroid==2.3.3
atomicwrites==1.3.0
attrs==19.3.0
autopep8==1.4.4
Babel==2.8.0
backcall==0.1.0
bcrypt==3.1.7
beautifulsoup4==4.6.0
bleach==3.1.0
Brlapi==0.6.6
caffe==1.0.0
certifi==2019.11.28
cffi==1.14.0
chardet==3.0.4
cliff==3.4.0
cloudpickle==1.3.0
cmaes==0.6.1
cmd2==1.3.11
colorama==0.4.3
colorlog==4.2.1
command-not-found==0.3
cryptography==2.8
cupshelpers==1.0
cycler==0.10.0
cytoolz==0.10.1
decorator==4.1.2
defer==1.0.6
distro-info===0.18ubuntu0.18.04.1
docutils==0.14
entrypoints==0.2.3.post1
flake8==3.5.0
future==0.15.2
gast==0.3.3
google-pasta==0.2.0
greenlet==0.4.12
grpcio==1.24.0
h5py==2.7.1
html5lib==0.999999999
httplib2==0.9.2
idna==2.6
imagesize==0.7.1
importlib-metadata==2.0.0
ipykernel==4.8.2
ipython==5.5.0
ipython-genutils==0.2.0
ipywidgets==6.0.0
isort==4.3.4
jedi==0.11.1
Jinja2==2.10
joblib==0.11
jsonschema==2.6.0
jupyter-client==5.2.2
jupyter-console==5.2.0
jupyter-core==4.4.0
Keras==2.3.1
Keras-Applications==1.0.8
Keras-Preprocessing==1.1.0
keyring==10.6.0
keyrings.alt==3.0
language-selector==0.1
launchpadlib==1.10.6
lazr.restfulclient==0.13.5
lazr.uri==1.0.3
lazy-object-proxy==1.4.3
leveldb==0.1
llvmlite==0.31.0
logilab-common==1.4.1
louis==3.5.0
lxml==4.2.1
macaroonbakery==1.1.3
Mako==1.0.7
Markdown==2.6.9
MarkupSafe==1.0
matplotlib==2.1.1
mccabe==0.6.1
mistune==0.8.3
mkl-fft==1.0.15
mkl-random==1.1.0
mkl-service==2.3.0
msgpack==0.5.6
nbconvert==5.3.1
nbformat==4.4.0
neovim==0.2.0
netifaces==0.10.4
networkx==1.11
nose==1.3.7
nose-parameterized==0.3.4
notebook==5.2.2
numba==0.48.0
numexpr==2.6.4
numpy==1.19.2
numpydoc==0.7.0
nvidia-ml-py==7.352.0
oauth==1.0.1
olefile==0.46
optuna==2.2.0
packaging==20.4
PAM==0.4.2
pandas==0.22.0
pandocfilters==1.4.2
parso==0.1.1
pbr==5.5.0
pexpect==4.2.1
pickleshare==0.7.4
Pillow==7.0.0
pluggy==0.6.0
ply==3.11
prettytable==0.7.2
prompt-toolkit==1.0.15
protobuf==3.8.0
psutil==5.4.2
py==1.5.2
pycairo==1.16.2
pycocotools==2.0
pycodestyle==2.5.0
pycosat==0.6.3
pycparser==2.19
pycrypto==2.6.1
pycuda==2019.1.2
pycups==1.9.73
pydot==1.2.3
pyflakes==1.6.0
Pygments==2.2.0
pygobject==3.26.1
pygpu==0.7.6
PyICU==1.9.8
pyinotify==0.9.6
pylint==1.8.3
pymacaroons==0.13.0
PyNaCl==1.1.2
pyOpenSSL==17.5.0
pyparsing==2.2.0
pyperclip==1.8.0
pyRFC3339==1.0
pytest==3.3.2
python-apt==1.6.5+ubuntu0.2
python-dateutil==2.6.1
python-debian==0.1.32
python-editor==1.0.4
pytools==2017.6
pytz==2018.3
PyWavelets==0.5.1
pyxdg==0.25
PyYAML==3.12
pyzmq==16.0.2
QtAwesome==0.4.4
qtconsole==4.3.1
QtPy==1.3.1
reportlab==3.4.0
requests==2.18.4
requests-unixsocket==0.1.5
roman==2.0.0
rope==0.10.5
ruamel.yaml==0.16.10
ruamel.yaml.clib==0.2.0
scikit-cuda==0.5.3
scikit-image==0.13.1
scikit-learn==0.19.1
scipy==1.5.2
screen-resolution-extra==0.0.0
SecretStorage==2.3.1
simplegeneric==0.8.1
simplejson==3.13.2
six==1.14.0
Sphinx==1.6.7
spyder==3.2.6
SQLAlchemy==1.3.19
ssh-import-id==5.7
stevedore==3.2.2
system-service==0.3
systemd-python==234
tables==3.4.2
tensorboard==1.15.0
tensorflow-estimator==1.15.1
tensorflow-gpu==1.15.2
tensorflow-serving-api==1.15.0
termcolor==1.1.0
terminado==0.7
testpath==0.3.1
Theano==1.0.4
toolz==0.10.0
torch==1.3.1
torchvision==0.4.2
tornado==4.5.3
tqdm==4.50.1
traitlets==4.3.2
typed-ast==1.4.1
ubuntu-drivers-common==0.0.0
ufw==0.36
unattended-upgrades==0.1
urllib3==1.22
usb-creator==0.3.3
virtualenv==15.1.0
virtualenv-clone==0.5.4
virtualenvwrapper==4.8.4
wadllib==1.3.2
wcwidth==0.1.7
webencodings==0.5
Werkzeug==0.16.0
wrapt==1.11.2
xkit==0.0.0
zipp==3.3.0
zope.interface==4.3.2