文章末尾提供了示例YAML文件用于测试命令
创建环境
如果你还没有根据 YAML 文件创建环境,可以使用以下命令:
conda env create -f environment.yml
这将根据 environment.yml
文件创建一个新的 Conda 环境。如果你的 YAML 文件有不同的文件名,请将 environment.yml
替换为你的文件名。
更新环境
如果你已经有一个根据 YAML 文件创建的环境,并且想要更新它,可以使用以下命令:
conda env update -n myenv -f environment.yml
其中 myenv
是你的环境名称,你需要将其替换为实际的环境名称。`environment.yml` 是你的 YAML 文件名,如果你的文件名不同,请相应替换。
激活环境
创建或更新环境后,你需要激活该环境才能使用它:
conda activate myenv
检查环境
激活环境后,你可以检查环境中的包是否与 YAML 文件中的定义一致:
conda list
这将列出当前激活环境中的所有包及其版本。
注意事项
确保你的 YAML 文件格式正确,特别是包名和版本号的格式。
如果在更新过程中遇到问题,可能需要检查包的兼容性或 Conda 仓库的状态。
如果你想从头开始,可以先删除旧环境,然后重新创建:
conda env remove -n myenv
conda env create -f environment.yml
这样可以确保环境与 YAML 文件完全一致。
示例YAML文件内容:
name: vlnce
channels:
- aihabitat
- ostrokach-forge
- conda-forge
- defaults
dependencies:
- _libgcc_mutex=0.1=conda_forge
- _openmp_mutex=4.5=1_gnu
- aom=3.2.0=h9c3ff4c_2
- attrs=21.4.0=pyhd8ed1ab_0
- backports=1.0=py_2
- backports.functools_lru_cache=1.6.4=pyhd8ed1ab_0
- bzip2=1.0.8=h7f98852_4
- ca-certificates=2021.10.8=ha878542_0
- certifi=2021.5.30=py36h5fab9bb_0
- colorama=0.4.4=pyh9f0ad1d_0
- cycler=0.11.0=pyhd8ed1ab_0
- entrypoints=0.3=pyhd8ed1ab_1003
- ffmpeg=4.4.1=h6987444_0
- freetype=2.10.4=h0708190_1
- gitdb=4.0.9=pyhd8ed1ab_0
- gitpython=3.1.18=pyhd8ed1ab_0
- gmp=6.2.1=h58526e2_0
- gnutls=3.6.13=h85f3911_1
- habitat-sim-mutex=1.0=headless_nobullet
- headless=2.0=0
- icu=69.1=h9c3ff4c_0
- imageio=2.13.5=pyh239f2a4_0
- imageio-ffmpeg=0.4.5=pyhd8ed1ab_0
- ipykernel=5.5.5=py36hcb3619a_0
- ipython=5.8.0=py36_1
- ipython_genutils=0.2.0=py_1
- jbig=2.1=h7f98852_2003
- jpeg=9d=h36c2ea0_0
- jupyter_client=5.3.4=py36_0
- kiwisolver=1.3.1=py36h605e78d_1
- lame=3.100=h7f98852_1001
- lcms2=2.12=hddcbb42_0
- ld_impl_linux-64=2.36.1=hea4e1c9_2
- lerc=3.0=h9c3ff4c_0
- libblas=3.9.0=12_linux64_openblas
- libcblas=3.9.0=12_linux64_openblas
- libdeflate=1.8=h7f98852_0
- libdrm=2.4.109=h7f98852_0
- libffi=3.3=h58526e2_2
- libgcc-ng=11.2.0=h1d223b6_11
- libgfortran-ng=11.2.0=h69a702a_11
- libgfortran5=11.2.0=h5c6108e_11
- libgomp=11.2.0=h1d223b6_11
- libiconv=1.16=h516909a_0
- liblapack=3.9.0=12_linux64_openblas
- libllvm10=10.0.1=he513fc3_3
- libopenblas=0.3.18=pthreads_h8fe5266_0
- libpciaccess=0.16=h516909a_0
- libpng=1.6.37=h21135ba_2
- libsodium=1.0.18=h36c2ea0_1
- libstdcxx-ng=11.2.0=he4da1e4_11
- libtiff=4.3.0=h6f004c6_2
- libva=2.13.0=h7f98852_1
- libvpx=1.11.0=h9c3ff4c_3
- libwebp-base=1.2.1=h7f98852_0
- libxcb=1.13=h7f98852_1004
- libxml2=2.9.12=h885dcf4_1
- libzlib=1.2.11=h36c2ea0_1013
- llvmlite=0.36.0=py36h05121d2_0
- lz4-c=1.9.3=h9c3ff4c_1
- matplotlib=3.3.2=0
- matplotlib-base=3.3.2=py36he12231b_1
- ncurses=6.2=h58526e2_4
- nettle=3.6=he412f7d_0
- numba=0.53.1=py36h1328434_1
- numpy=1.19.5=py36hfc0c790_2
- olefile=0.46=pyh9f0ad1d_1
- openh264=2.1.1=h780b84a_0
- openjpeg=2.4.0=hb52868f_1
- openssl=1.1.1l=h7f98852_0
- pexpect=4.8.0=pyh9f0ad1d_2
- pickleshare=0.7.5=py_1003
- pillow=8.3.2=py36h676a545_0
- pip=21.3.1=pyhd8ed1ab_0
- prompt_toolkit=1.0.15=py_1
- pthread-stubs=0.4=h36c2ea0_1001
- ptyprocess=0.7.0=pyhd3deb0d_0
- pygments=2.11.2=pyhd8ed1ab_0
- pyparsing=3.0.6=pyhd8ed1ab_0
- python=3.6.12=hffdb5ce_0_cpython
- python-dateutil=2.8.2=pyhd8ed1ab_0
- python_abi=3.6=2_cp36m
- pyzmq=22.3.0=py36h7068817_0
- quaternion=2021.8.30.10.33.11=py36h8f6f2f9_0
- readline=8.1=h46c0cb4_0
- scipy=1.5.3=py36h81d768a_1
- setuptools=58.0.4=py36h5fab9bb_2
- simplegeneric=0.8.1=py_1
- six=1.16.0=pyh6c4a22f_0
- smmap=3.0.5=pyh44b312d_0
- sqlite=3.37.0=h9cd32fc_0
- svt-av1=0.8.7=h9c3ff4c_1
- tk=8.6.11=h27826a3_1
- tornado=6.1=py36h8f6f2f9_1
- tqdm=4.62.3=pyhd8ed1ab_0
- traitlets=4.3.3=pyhd8ed1ab_2
- typing_extensions=4.0.1=pyha770c72_0
- wcwidth=0.2.5=pyh9f0ad1d_2
- x264=1!161.3030=h7f98852_1
- x265=3.5=h4bd325d_1
- xorg-fixesproto=5.0=h7f98852_1002
- xorg-inputproto=2.3.2=h7f98852_1002
- xorg-kbproto=1.0.7=h7f98852_1002
- xorg-libx11=1.7.2=h7f98852_0
- xorg-libxau=1.0.9=h7f98852_0
- xorg-libxcursor=1.2.0=h7f98852_0
- xorg-libxdmcp=1.1.3=h7f98852_0
- xorg-libxext=1.3.4=h7f98852_1
- xorg-libxfixes=5.0.3=h7f98852_1004
- xorg-libxi=1.7.10=h7f98852_0
- xorg-libxinerama=1.1.4=h9c3ff4c_1001
- xorg-libxrandr=1.5.2=h7f98852_1
- xorg-libxrender=0.9.10=h7f98852_1003
- xorg-randrproto=1.5.0=h7f98852_1001
- xorg-renderproto=0.11.1=h7f98852_1002
- xorg-xextproto=7.3.0=h7f98852_1002
- xorg-xproto=7.0.31=h7f98852_1007
- xz=5.2.5=h516909a_1
- zeromq=4.3.4=h9c3ff4c_1
- zlib=1.2.11=h36c2ea0_1013
- zstd=1.5.1=ha95c52a_0
- pip:
- absl-py==1.0.0
- antlr4-python3-runtime==4.9.3
- astor==0.8.1
- beautifulsoup4==4.10.0
- blessings==1.7
- boto3==1.20.31
- botocore==1.23.31
- braceexpand==0.1.7
- bresenham==0.2.1
- cached-property==1.5.2
- cachetools==4.2.4
- cfgv==3.3.1
- charset-normalizer==2.0.10
- click==8.0.3
- clip==1.0
- cloudpickle==2.0.0
- conda-pack==0.6.0
- dataclasses==0.8
- decorator==4.4.2
- distlib==0.3.4
- dtw==1.4.0
- easydict==1.9
- emoji==1.6.3
- fastdtw==0.3.4
- filelock==3.4.1
- ftfy==6.0.3
- future==0.18.2
- gast==0.5.3
- gdown==4.2.0
- google-auth==2.3.3
- google-auth-oauthlib==0.4.6
- gpustat==0.6.0
- grpcio==1.43.0
- gym==0.10.9
- gym-notices==0.0.8
- h5py==3.1.0
- habitat-sim==0.1.7
- higher==0.2.1
- huggingface-hub==0.4.0
- hydra-core==1.3.2
- identify==2.4.2
- idna==3.3
- ifcfg==0.22
- imagecorruptions==1.1.2
- importlib-metadata==4.8.3
- importlib-resources==5.2.3
- jmespath==0.10.0
- joblib==1.1.0
- jsonlines==3.0.0
- jupyter-core==4.9.2
- keras-applications==1.0.8
- keras-preprocessing==1.1.2
- line-profiler==3.4.0
- lmdb==1.3.0
- markdown==3.3.6
- mock==4.0.3
- moviepy==1.0.3
- msgpack==1.0.3
- msgpack-numpy==0.4.7.1
- multiscaledeformableattention==1.0
- networkx==2.5.1
- nodeenv==1.6.0
- nvidia-ml-py3==7.352.0
- oauthlib==3.1.1
- objectio==0.2.29
- omegaconf==2.3.0
- opencv-python==4.5.5.62
- packaging==21.3
- pickle5==0.0.12
- platformdirs==2.4.0
- pre-commit==2.16.0
- proglog==0.1.9
- progressbar2==3.55.0
- protobuf==3.19.1
- psutil==5.9.0
- py360convert==0.1.0
- pyasn1==0.4.8
- pyasn1-modules==0.2.8
- pycocotools==2.0.4
- pyglet==1.5.26
- pysocks==1.7.1
- python-utils==3.3.3
- pytorch-transformers==1.2.0
- pywavelets==1.1.1
- pyyaml==6.0
- regex==2021.11.10
- requests==2.27.1
- requests-oauthlib==1.3.0
- rsa==4.8
- s3transfer==0.5.0
- sacremoses==0.0.46
- scikit-image==0.17.2
- scikit-learn==0.24.2
- selenium==3.141.0
- sentencepiece==0.1.96
- shapely==1.7.1
- simplejson==3.17.6
- sklearn==0.0
- soupsieve==2.3.1
- stanza==1.3.0
- tb-nightly==2.8.0a20220108
- tensorboard==1.13.1
- tensorboard-data-server==0.6.1
- tensorboard-plugin-wit==1.8.1
- tensorboardx==2.4.1
- tensorflow==1.13.1
- tensorflow-estimator==1.13.0
- termcolor==1.1.0
- texttable==1.6.7
- thop==0.1.1-2209072238
- threadpoolctl==3.1.0
- tifffile==2020.9.3
- timm==0.5.4
- tokenizers==0.10.3
- toml==0.10.2
- torch==1.9.1+cu111
- torch-scatter==2.0.9
- torchaudio==0.9.1
- torchvision==0.10.1+cu111
- transformers==4.12.5
- typer==0.4.0
- urllib3==1.26.8
- virtualenv==20.13.0
- webdataset==0.1.40
- werkzeug==2.0.2
- wheel==0.37.1
- xlwt==1.3.0
- yacs==0.1.8
- zipp==3.6.0
prefix: /home/andong/miniconda3/envs/vlnce
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