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我的配置是3090，CUDA Version: 12.4 

配置环境时总有冲突，解决好的环境如下

如果你的配置也是CUDA12.4，可以把下面的配置信息保存成 environment.yml 文件

然后执行下面的代码创建环境即可

conda env export > environment.yml

name: maet1
channels:- defaults
dependencies:- _libgcc_mutex=0.1=main- _openmp_mutex=5.1=1_gnu- ca-certificates=2025.2.25=h06a4308_0- certifi=2022.12.7=py37h06a4308_0- ld_impl_linux-64=2.40=h12ee557_0- libffi=3.4.4=h6a678d5_1- libgcc-ng=11.2.0=h1234567_1- libgomp=11.2.0=h1234567_1- libstdcxx-ng=11.2.0=h1234567_1- ncurses=6.4=h6a678d5_0- openssl=1.1.1w=h7f8727e_0- pip=22.3.1=py37h06a4308_0- python=3.7.16=h7a1cb2a_0- readline=8.2=h5eee18b_0- setuptools=65.6.3=py37h06a4308_0- sqlite=3.45.3=h5eee18b_0- tk=8.6.14=h39e8969_0- wheel=0.38.4=py37h06a4308_0- xz=5.6.4=h5eee18b_1- zlib=1.2.13=h5eee18b_1- pip:- addict==2.4.0- cycler==0.11.0- cython==0.29.36- fonttools==4.38.0- importlib-metadata==6.7.0- kiwisolver==1.4.5- markdown-it-py==2.2.0- matplotlib==3.5.3- mdurl==0.1.2- mmcv-full==1.2.0- mmengine==0.10.7- mmpycocotools==12.0.3- numpy==1.21.6- opencv-python==4.11.0.86- packaging==24.0- pillow==9.5.0- platformdirs==4.0.0- pygments==2.17.2- pyparsing==3.1.4- python-dateutil==2.9.0.post0- pyyaml==6.0.1- rich==13.8.1- scipy==1.7.3- six==1.17.0- termcolor==2.3.0- terminaltables==3.1.10- tomli==2.0.1- torch==1.7.1+cu110- torchaudio==0.7.2- torchvision==0.8.2+cu110- typing-extensions==4.7.1- yapf==0.40.1- zipp==3.15.0
prefix: /home/admin01/anaconda3/envs/maet1