Torch not compiled with CUDA enabled - reinstalling pytorch is not working
My code which I'm trying to run gives me an error: AssertionError: Torch not compiled with CUDA enabled.
I was trying to search for an solution to this problem and I found a lot of solutions saying the same. Just use code:
conda install pytorch torchvision cudatoolkit=10.2 -c pytorch
And then it should work, since previously pytorch was installed without CUDA enabled.
However, my code still returns me exactly same error and I don't know why. I've also tried to change cudatoolkit=10.2 to cudatoolkit=10.1 but result is identical.
For more specific info I upload some specifics obtained with nvidia-smi command:
Additionally I'm uploading list of my packages produced by conda list
# Name Version Build Channel
_libgcc_mutex 0.1 main
_openmp_mutex 4.5 1_gnu
_pytorch_select 0.1 cpu_0
absl-py 0.15.0 pyhd8ed1ab_0 conda-forge
aiohttp 3.7.4.post0 py39h3811e60_0 conda-forge
async-timeout 3.0.1 py_1000 conda-forge
attrs 21.2.0 pyhd8ed1ab_0 conda-forge
blas 1.0 mkl
blinker 1.4 py_1 conda-forge
brotlipy 0.7.0 py39h3811e60_1001 conda-forge
bzip2 1.0.8 h7b6447c_0
c-ares 1.17.1 h27cfd23_0
ca-certificates 2021.9.30 h06a4308_1
cachetools 4.2.4 pyhd8ed1ab_0 conda-forge
certifi 2021.10.8 py39h06a4308_0
cffi 1.14.6 py39h400218f_0
chardet 4.0.0 py39hf3d152e_1 conda-forge
charset-normalizer 2.0.0 pyhd8ed1ab_0 conda-forge
click 8.0.3 py39hf3d152e_0 conda-forge
colorama 0.4.4 pyh9f0ad1d_0 conda-forge
cpuonly 2.0 0 pytorch
cryptography 35.0.0 py39hbca0aa6_0 conda-forge
cudatoolkit 10.2.89 hfd86e86_1
dataclasses 0.8 pyhc8e2a94_3 conda-forge
ffmpeg 4.3 hf484d3e_0 pytorch
freetype 2.10.4 h5ab3b9f_0
fsspec 2021.10.1 pyhd8ed1ab_0 conda-forge
future 0.18.2 py39hf3d152e_3 conda-forge
giflib 5.2.1 h7b6447c_0
gmp 6.2.1 h2531618_2
gnutls 3.6.15 he1e5248_0
google-auth 1.35.0 pyh6c4a22f_0 conda-forge
google-auth-oauthlib 0.4.6 pyhd8ed1ab_0 conda-forge
grpcio 1.37.1 py39hff7568b_0 conda-forge
idna 3.1 pyhd3deb0d_0 conda-forge
importlib-metadata 4.8.1 py39hf3d152e_0 conda-forge
intel-openmp 2019.4 243
jpeg 9d h7f8727e_0
lame 3.100 h7b6447c_0
lcms2 2.12 h3be6417_0
ld_impl_linux-64 2.35.1 h7274673_9
libffi 3.3 he6710b0_2
libgcc-ng 9.3.0 h5101ec6_17
libgfortran-ng 7.5.0 ha8ba4b0_17
libgfortran4 7.5.0 ha8ba4b0_17
libgomp 9.3.0 h5101ec6_17
libiconv 1.15 h63c8f33_5
libidn2 2.3.2 h7f8727e_0
libmklml 2019.0.5 0
libpng 1.6.37 hbc83047_0
libprotobuf 3.15.8 h780b84a_0 conda-forge
libstdcxx-ng 9.3.0 hd4cf53a_17
libtasn1 4.16.0 h27cfd23_0
libtiff 4.2.0 h85742a9_0
libunistring 0.9.10 h27cfd23_0
libuv 1.40.0 h7b6447c_0
libwebp 1.2.0 h89dd481_0
libwebp-base 1.2.0 h27cfd23_0
lz4-c 1.9.3 h295c915_1
markdown 3.3.4 pyhd8ed1ab_0 conda-forge
mkl 2020.2 256
mkl-service 2.3.0 py39he8ac12f_0
mkl_fft 1.3.0 py39h54f3939_0
mkl_random 1.0.2 py39h63df603_0
multidict 5.1.0 py39h27cfd23_2
ncurses 6.2 he6710b0_1
nettle 3.7.3 hbbd107a_1
ninja 1.10.2 hff7bd54_1
numpy 1.19.2 py39h89c1606_0
numpy-base 1.19.2 py39h2ae0177_0
oauthlib 3.1.1 pyhd8ed1ab_0 conda-forge
olefile 0.46 pyhd3eb1b0_0
openh264 2.1.0 hd408876_0
openssl 1.1.1l h7f8727e_0
packaging 21.0 pyhd8ed1ab_0 conda-forge
pillow 8.4.0 py39h5aabda8_0
pip 21.2.4 py39h06a4308_0
protobuf 3.15.8 py39he80948d_0 conda-forge
pyasn1 0.4.8 py_0 conda-forge
pyasn1-modules 0.2.7 py_0 conda-forge
pycparser 2.20 py_2
pydeprecate 0.3.1 pyhd8ed1ab_0 conda-forge
pyjwt 2.3.0 pyhd8ed1ab_0 conda-forge
pyopenssl 21.0.0 pyhd8ed1ab_0 conda-forge
pyparsing 2.4.7 pyh9f0ad1d_0 conda-forge
pysocks 1.7.1 py39hf3d152e_3 conda-forge
python 3.9.7 h12debd9_1
python_abi 3.9 2_cp39 conda-forge
pytorch 1.10.0 py3.9_cpu_0 pytorch
pytorch-lightning 1.4.9 pyhd8ed1ab_0 conda-forge
pytorch-mutex 1.0 cpu pytorch
pyu2f 0.1.5 pyhd8ed1ab_0 conda-forge
pyyaml 5.4.1 py39h3811e60_0 conda-forge
readline 8.1 h27cfd23_0
requests 2.26.0 pyhd8ed1ab_0 conda-forge
requests-oauthlib 1.3.0 pyh9f0ad1d_0 conda-forge
rsa 4.7.2 pyh44b312d_0 conda-forge
scipy 1.6.2 py39h91f5cce_0
setuptools 58.0.4 py39h06a4308_0
six 1.16.0 pyhd3eb1b0_0
sqlite 3.36.0 hc218d9a_0
tensorboard 2.6.0 pyhd8ed1ab_1 conda-forge
tensorboard-data-server 0.6.0 py39h3da14fd_0 conda-forge
tensorboard-plugin-wit 1.8.0 pyh44b312d_0 conda-forge
tk 8.6.11 h1ccaba5_0
torchmetrics 0.5.1 pyhd8ed1ab_0 conda-forge
torchvision 0.11.1 py39_cpu [cpuonly] pytorch
tqdm 4.62.3 pyhd8ed1ab_0 conda-forge
typing-extensions 3.10.0.2 hd3eb1b0_0
typing_extensions 3.10.0.2 pyh06a4308_0
tzdata 2021a h5d7bf9c_0
urllib3 1.26.7 pyhd8ed1ab_0 conda-forge
werkzeug 2.0.1 pyhd8ed1ab_0 conda-forge
wheel 0.37.0 pyhd3eb1b0_1
xz 5.2.5 h7b6447c_0
yaml 0.2.5 h516909a_0 conda-forge
yarl 1.6.3 py39h3811e60_2 conda-forge
zipp 3.6.0 pyhd8ed1ab_0 conda-forge
zlib 1.2.11 h7b6447c_3
zstd 1.4.9 haebb681_0
Could you please help me with resolving the issue?
Solution 1:
Seems you have the wrong combination of PyTorch, CUDA, and Python version, you have installed PyTorch py3.9_cpu_0 which indicates that it is CPU version, not GPU. What I see is that you ask or have installed for PyTorch 1.10.0 which so far I know the Py3.9 built with CUDA 11 support only. See list of available (compiled) versions for CUDA 10.2 and CUDA 11.3.