1.conda create -n pytorch311 python=3.11

# 重新进入虚拟环境

source activate

# 退出虚拟环境

conda deactivate

最后，重新执行  conda activate pytorch311

pip install torch-2.0.0+cpu-cp311-cp311-linux_x86_64

cd vmodel-main/

python -m pip install dist/vmodel-0.0.2-py3-none-any.whl --force-reinstall

基于上面环境，配置Graph-WaveNet网络：

pip install -r requirements.txt

ModuleNotFoundError: No module named 'seaborn'

ModuleNotFoundError: No module named 'funcy'

ModuleNotFoundError: No module named 'tqdm'

ModuleNotFoundError: No module named 'ipykernel'

出现：ModuleNotFoundError: No module named 'pandas.util.testing'

在/root/miniconda3/envs/pytorch311/lib/python3.11/site-packages/durbango/pd_utils.py

Replace pandas.util.testing with pandas.testing

from pandas.testing import assert_frame_equal

ModuleNotFoundError: No module named 'sklearn'

conda install scikit-learn

出现：ValueError: too many dimensions 'matrix'

ValueError: All ufuncs must have type numpy.ufunc. Received (<ufunc 'sph_legendre_p'>, <ufunc 'sph_legendre_p'>, <ufunc 'sph_legendre_p'>)

pip install --upgrade torch

pip uninstall numpy scipy -y
pip install numpy scipy --force-reinstall

pip install py3nvml