Conda list returned the following configuration:
# packages in environment at /home/user/anaconda3/envs/experiment2:
#
# Name Version Build Channel
_libgcc_mutex 0.1 main
_openmp_mutex 5.1 1_gnu
asttokens 2.0.5 pyhd3eb1b0_0
backcall 0.2.0 pyhd3eb1b0_0
blas 1.0 mkl
ca-certificates 2024.3.11 h06a4308_0
comm 0.2.1 py38h06a4308_0
cudatoolkit 9.2 0
debugpy 1.6.7 py38h6a678d5_0
decorator 5.1.1 pyhd3eb1b0_0
executing 0.8.3 pyhd3eb1b0_0
freetype 2.12.1 h4a9f257_0
importlib-metadata 7.0.1 py38h06a4308_0
importlib_metadata 7.0.1 hd3eb1b0_0
intel-openmp 2023.1.0 hdb19cb5_46306
ipykernel 6.28.0 py38h06a4308_0
ipython 8.12.2 py38h06a4308_0
jedi 0.18.1 py38h06a4308_1
jpeg 9b h024ee3a_2
jupyter_client 8.6.0 py38h06a4308_0
jupyter_core 5.5.0 py38h06a4308_0
lcms2 2.12 h3be6417_0
ld_impl_linux-64 2.38 h1181459_1
lerc 3.0 h295c915_0
libdeflate 1.17 h5eee18b_1
libffi 3.4.4 h6a678d5_0
libgcc-ng 11.2.0 h1234567_1
libgomp 11.2.0 h1234567_1
libpng 1.6.39 h5eee18b_0
libsodium 1.0.18 h7b6447c_0
libstdcxx-ng 11.2.0 h1234567_1
libtiff 4.2.0 h85742a9_0
libuv 1.44.2 h5eee18b_0
libwebp-base 1.3.2 h5eee18b_0
lz4-c 1.9.4 h6a678d5_0
matplotlib-inline 0.1.6 py38h06a4308_0
mkl 2023.1.0 h213fc3f_46344
mkl-service 2.4.0 py38h5eee18b_1
mkl_fft 1.3.8 py38h5eee18b_0
mkl_random 1.2.4 py38hdb19cb5_0
ncurses 6.4 h6a678d5_0
nest-asyncio 1.6.0 py38h06a4308_0
ninja 1.10.2 h06a4308_5
ninja-base 1.10.2 hd09550d_5
numpy 1.24.3 py38hf6e8229_1
numpy-base 1.24.3 py38h060ed82_1
olefile 0.46 pyhd3eb1b0_0
openjpeg 2.4.0 h3ad879b_0
openssl 3.0.13 h7f8727e_0
packaging 23.2 py38h06a4308_0
parso 0.8.3 pyhd3eb1b0_0
pexpect 4.8.0 pyhd3eb1b0_3
pickleshare 0.7.5 pyhd3eb1b0_1003
pillow 8.3.1 py38h2c7a002_0
pip 23.3.1 py38h06a4308_0
platformdirs 3.10.0 py38h06a4308_0
prompt-toolkit 3.0.43 py38h06a4308_0
psutil 5.9.0 py38h5eee18b_0
ptyprocess 0.7.0 pyhd3eb1b0_2
pure_eval 0.2.2 pyhd3eb1b0_0
pygments 2.15.1 py38h06a4308_1
python 3.8.19 h955ad1f_0
python-dateutil 2.8.2 pyhd3eb1b0_0
pytorch 1.7.0 py3.8_cuda9.2.148_cudnn7.6.3_0 pytorch
pyzmq 25.1.2 py38h6a678d5_0
readline 8.2 h5eee18b_0
setuptools 68.2.2 py38h06a4308_0
six 1.16.0 pyhd3eb1b0_1
sqlite 3.41.2 h5eee18b_0
stack_data 0.2.0 pyhd3eb1b0_0
tbb 2021.8.0 hdb19cb5_0
tk 8.6.12 h1ccaba5_0
torchaudio 0.7.0 py38 pytorch
torchvision 0.8.0 py38_cu92 pytorch
tornado 6.3.3 py38h5eee18b_0
traitlets 5.7.1 py38h06a4308_0
typing_extensions 4.9.0 py38h06a4308_1
wcwidth 0.2.5 pyhd3eb1b0_0
wheel 0.41.2 py38h06a4308_0
xz 5.4.6 h5eee18b_0
zeromq 4.3.5 h6a678d5_0
zipp 3.17.0 py38h06a4308_0
zlib 1.2.13 h5eee18b_0
zstd 1.4.9 haebb681_0
conda list | grep "torch" returned
pytorch 1.7.0 py3.8_cuda9.2.148_cudnn7.6.3_0 pytorch
torchaudio 0.7.0 py38 pytorch
torchvision 0.8.0 py38_cu92 pytorch
python3 -c "import torch; print(torch.__version__)" returned 2.2.1+cu121
All outputs are in the same conda environment.
I can not understand why I get two different version of PyTorch(2.2.1 and 1.7.0) and two different version of CUDA toolkit (cu121 / 9.2)?