Hello,
I don’t understand how to make cuda work on my conda environment. I want to use it with pytorch on python but everytime I run torch.cuda.is_available() , it returns false. So I checked online, and maybe this is due to my cuda version.
I have a RTX A1000 and nvidia-smi returns:
However it seems that cuda 12.0 is too much for my driver version and I should install cuda version 10.2. So that’s what I did by running: conda install pytorch cudatoolkit=10.2 -c pytorch
Now if I do conda list:
# Name Version Build Channel
aiofiles 22.1.0 py311haa95532_0
aiosqlite 0.18.0 py311haa95532_0
anyio 3.5.0 py311haa95532_0
argon2-cffi 21.3.0 pyhd3eb1b0_0
argon2-cffi-bindings 21.2.0 py311h2bbff1b_0
asttokens 2.0.5 pyhd3eb1b0_0
attrs 22.1.0 py311haa95532_0
babel 2.11.0 py311haa95532_0
backcall 0.2.0 pyhd3eb1b0_0
beautifulsoup4 4.12.2 py311haa95532_0
blas 1.0 mkl
bleach 4.1.0 pyhd3eb1b0_0
brotlipy 0.7.0 py311h2bbff1b_1002
bzip2 1.0.8 he774522_0
ca-certificates 2023.05.30 haa95532_0
certifi 2023.5.7 py311haa95532_0
cffi 1.15.1 py311h2bbff1b_3
charset-normalizer 2.0.4 pyhd3eb1b0_0
colorama 0.4.6 py311haa95532_0
comm 0.1.2 py311haa95532_0
cryptography 39.0.1 py311h21b164f_0
cudatoolkit 10.2.89 h74a9793_1
debugpy 1.5.1 py311hd77b12b_0
decorator 5.1.1 pyhd3eb1b0_0
defusedxml 0.7.1 pyhd3eb1b0_0
entrypoints 0.4 py311haa95532_0
executing 0.8.3 pyhd3eb1b0_0
filelock 3.9.0 py311haa95532_0
giflib 5.2.1 h8cc25b3_3
glib 2.69.1 h5dc1a3c_2
gst-plugins-base 1.18.5 h9e645db_0
gstreamer 1.18.5 hd78058f_0
icu 58.2 ha925a31_3
idna 3.4 py311haa95532_0
intel-openmp 2023.1.0 h59b6b97_46319
ipykernel 6.19.2 py311h86cfffd_0
ipython 8.12.0 py311haa95532_0
ipython_genutils 0.2.0 pyhd3eb1b0_1
ipywidgets 8.0.4 py311haa95532_0
jedi 0.18.1 py311haa95532_1
jinja2 3.1.2 py311haa95532_0
jpeg 9e h2bbff1b_1
json5 0.9.6 pyhd3eb1b0_0
jsonschema 4.17.3 py311haa95532_0
jupyter 1.0.0 py311haa95532_8
jupyter_client 8.1.0 py311haa95532_0
jupyter_console 6.6.3 py311haa95532_0
jupyter_core 5.3.0 py311haa95532_0
jupyter_events 0.6.3 py311haa95532_0
jupyter_server 2.5.0 py311haa95532_0
jupyter_server_fileid 0.9.0 py311haa95532_0
jupyter_server_terminals 0.4.4 py311haa95532_1
jupyter_server_ydoc 0.8.0 py311haa95532_1
jupyter_ydoc 0.2.4 py311haa95532_0
jupyterlab 3.6.3 py311haa95532_0
jupyterlab_pygments 0.1.2 py_0
jupyterlab_server 2.22.0 py311haa95532_0
jupyterlab_widgets 3.0.5 py311haa95532_0
krb5 1.19.4 h5b6d351_0
lerc 3.0 hd77b12b_0
libclang 14.0.6 default_hb5a9fac_1
libclang13 14.0.6 default_h8e68704_1
libdeflate 1.17 h2bbff1b_0
libffi 3.4.4 hd77b12b_0
libiconv 1.16 h2bbff1b_2
libogg 1.3.5 h2bbff1b_1
libpng 1.6.39 h8cc25b3_0
libsodium 1.0.18 h62dcd97_0
libtiff 4.5.0 h6c2663c_2
libuv 1.44.2 h2bbff1b_0
libvorbis 1.3.7 he774522_0
libwebp 1.2.4 hbc33d0d_1
libwebp-base 1.2.4 h2bbff1b_1
libxml2 2.10.3 h0ad7f3c_0
libxslt 1.1.37 h2bbff1b_0
lxml 4.9.2 py311h2bbff1b_0
lz4-c 1.9.4 h2bbff1b_0
markupsafe 2.1.1 py311h2bbff1b_0
matplotlib-inline 0.1.6 py311haa95532_0
mistune 0.8.4 py311h2bbff1b_1000
mkl 2023.1.0 h8bd8f75_46356
mpmath 1.2.1 py311haa95532_0
nbclassic 0.5.5 py311haa95532_0
nbclient 0.5.13 py311haa95532_0
nbconvert 6.5.4 py311haa95532_0
nbformat 5.7.0 py311haa95532_0
nest-asyncio 1.5.6 py311haa95532_0
networkx 2.8.4 py311haa95532_1
notebook 6.5.4 py311haa95532_0
notebook-shim 0.2.2 py311haa95532_0
openssl 1.1.1u h2bbff1b_0
packaging 23.0 py311haa95532_0
pandocfilters 1.5.0 pyhd3eb1b0_0
parso 0.8.3 pyhd3eb1b0_0
pcre 8.45 hd77b12b_0
pickleshare 0.7.5 pyhd3eb1b0_1003
pip 23.1.2 py311haa95532_0
platformdirs 2.5.2 py311haa95532_0
ply 3.11 py311haa95532_0
prometheus_client 0.14.1 py311haa95532_0
prompt-toolkit 3.0.36 py311haa95532_0
prompt_toolkit 3.0.36 hd3eb1b0_0
psutil 5.9.0 py311h2bbff1b_0
pure_eval 0.2.2 pyhd3eb1b0_0
pycparser 2.21 pyhd3eb1b0_0
pygments 2.15.1 py311haa95532_1
pyopenssl 23.0.0 py311haa95532_0
pyqt 5.15.7 py311hd77b12b_0
pyqt5-sip 12.11.0 py311hd77b12b_0
pyrsistent 0.18.0 py311h2bbff1b_0
pysocks 1.7.1 py311haa95532_0
python 3.11.4 h966fe2a_0
python-dateutil 2.8.2 pyhd3eb1b0_0
python-fastjsonschema 2.16.2 py311haa95532_0
python-json-logger 2.0.7 py311haa95532_0
pytorch 2.0.1 py3.11_cpu_0 pytorch
pytorch-mutex 1.0 cpu pytorch
pytz 2022.7 py311haa95532_0
pywin32 305 py311h2bbff1b_0
pywinpty 2.0.10 py311h5da7b33_0
pyyaml 6.0 py311h2bbff1b_1
pyzmq 25.1.0 py311hd77b12b_0
qt-main 5.15.2 he8e5bd7_8
qt-webengine 5.15.9 hb9a9bb5_5
qtconsole 5.4.2 py311haa95532_0
qtpy 2.2.0 py311haa95532_0
qtwebkit 5.212 h2bbfb41_5
requests 2.29.0 py311haa95532_0
rfc3339-validator 0.1.4 py311haa95532_0
rfc3986-validator 0.1.1 py311haa95532_0
send2trash 1.8.0 pyhd3eb1b0_1
setuptools 67.8.0 py311haa95532_0
sip 6.6.2 py311hd77b12b_0
six 1.16.0 pyhd3eb1b0_1
sniffio 1.2.0 py311haa95532_1
soupsieve 2.4 py311haa95532_0
sqlite 3.41.2 h2bbff1b_0
stack_data 0.2.0 pyhd3eb1b0_0
sympy 1.11.1 py311haa95532_0
tbb 2021.8.0 h59b6b97_0
terminado 0.17.1 py311haa95532_0
tinycss2 1.2.1 py311haa95532_0
tk 8.6.12 h2bbff1b_0
toml 0.10.2 pyhd3eb1b0_0
tornado 6.2 py311h2bbff1b_0
traitlets 5.7.1 py311haa95532_0
typing-extensions 4.6.3 py311haa95532_0
typing_extensions 4.6.3 py311haa95532_0
tzdata 2023c h04d1e81_0
urllib3 1.26.16 py311haa95532_0
vc 14.2 h21ff451_1
vs2015_runtime 14.27.29016 h5e58377_2
wcwidth 0.2.5 pyhd3eb1b0_0
webencodings 0.5.1 py311haa95532_1
websocket-client 0.58.0 py311haa95532_4
wheel 0.38.4 py311haa95532_0
widgetsnbextension 4.0.5 py311haa95532_0
win_inet_pton 1.1.0 py311haa95532_0
winpty 0.4.3 4
xz 5.4.2 h8cc25b3_0
y-py 0.5.9 py311hb6bf4ef_0
yaml 0.2.5 he774522_0
ypy-websocket 0.8.2 py311haa95532_0
zeromq 4.3.4 hd77b12b_0
zlib 1.2.13 h8cc25b3_0
zstd 1.5.5 hd43e919_0
But still torch.cuda.is_available() returns False
and torch.backends.cudnn.enabled returns True
torch.cuda.version returns None
I don’t understand what is the problem here if someone could help me. Is it really the cudatoolkit version ?