pip/conda导出 requirements.txt 注意事项

pip

使用 pip freeze > ./requirements.txt
导出 requirements.txt 发现很多包没有版本号，而是 @ file:///

使用pip list --format=freeze > ./requirements.txt
导入安装 pip install -i https://pypi.tuna.tsinghua.edu.cn/simple -r requirements.txt

conda

导出 conda list -e > requirements.txt
导入安装 conda install --yes --file requirements.txt

导出 yml 文件方式 conda env export > freeze.yml
安装 conda env create -f freeze.yml

pytorch1.10.1+paddlepaddle-gpu2.2.1+cuda10.2+cudnn7.6.5 conda 环境freeze.yml 文件内容

name: torch_paddle
channels:- https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle- https://mirrors.bfsu.edu.cn/anaconda/cloud/pytorch- https://mirrors.ustc.edu.cn/anaconda/pkgs/main- https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/- https://mirrors.bfsu.edu.cn/anaconda/cloud/peterjc123/- https://mirrors.bfsu.edu.cn/anaconda/cloud/pytorch/- https://mirrors.bfsu.edu.cn/anaconda/cloud/menpo/- https://mirrors.bfsu.edu.cn/anaconda/cloud/bioconda/- https://mirrors.bfsu.edu.cn/anaconda/cloud/msys2/- https://mirrors.bfsu.edu.cn/anaconda/cloud/conda-forge/- https://mirrors.bfsu.edu.cn/anaconda/pkgs/main/- https://mirrors.bfsu.edu.cn/anaconda/pkgs/free/- https://mirrors.ustc.edu.cn/anaconda/cloud/menpo/- https://mirrors.ustc.edu.cn/anaconda/cloud/bioconda/- https://mirrors.ustc.edu.cn/anaconda/cloud/msys2/- https://mirrors.ustc.edu.cn/anaconda/cloud/conda-forge/- https://mirrors.ustc.edu.cn/anaconda/pkgs/free/- https://mirrors.ustc.edu.cn/anaconda/pkgs/main/- https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/peterjc123/- https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/menpo/- https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/bioconda/- https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/msys2/- https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/- https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge- defaults
dependencies:- _libgcc_mutex=0.1=main- _openmp_mutex=4.5=1_gnu- astor=0.8.1=py38h06a4308_0- blas=1.0=mkl- brotlipy=0.7.0=py38h27cfd23_1003- bzip2=1.0.8=h7b6447c_0- ca-certificates=2021.10.26=h06a4308_2- certifi=2021.10.8=py38h06a4308_2- cffi=1.14.6=py38h400218f_0- charset-normalizer=2.0.4=pyhd3eb1b0_0- cryptography=36.0.0=py38h9ce1e76_0- cudatoolkit=10.2.89=hfd86e86_1- cudnn=7.6.5=cuda10.2_0- decorator=5.1.0=pyhd3eb1b0_0- ffmpeg=4.3=hf484d3e_0- freetype=2.11.0=h70c0345_0- gast=0.3.3=py_0- giflib=5.2.1=h7b6447c_0- gmp=6.2.1=h2531618_2- gnutls=3.6.15=he1e5248_0- idna=3.3=pyhd3eb1b0_0- intel-openmp=2021.4.0=h06a4308_3561- 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- libgomp=9.3.0=h5101ec6_17- libiconv=1.15=h63c8f33_5- libidn2=2.3.2=h7f8727e_0- libpng=1.6.37=hbc83047_0- libprotobuf=3.19.1=h4ff587b_0- 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- mkl=2021.4.0=h06a4308_640- mkl-service=2.4.0=py38h7f8727e_0- mkl_fft=1.3.1=py38hd3c417c_0- mkl_random=1.2.2=py38h51133e4_0- ncurses=6.3=h7f8727e_2- nettle=3.7.3=hbbd107a_1- numpy=1.21.2=py38h20f2e39_0- numpy-base=1.21.2=py38h79a1101_0- olefile=0.46=pyhd3eb1b0_0- openh264=2.1.1=h4ff587b_0- openssl=1.1.1m=h7f8727e_0- paddlepaddle-gpu=2.2.1=py38_gpu_cuda10.2_many_linux- pillow=8.4.0=py38h5aabda8_0- pip=21.2.4=py38h06a4308_0- protobuf=3.19.1=py38h295c915_0- pycparser=2.21=pyhd3eb1b0_0- pyopenssl=21.0.0=pyhd3eb1b0_1- pysocks=1.7.1=py38h06a4308_0- python=3.8.12=h12debd9_0- pytorch=1.10.1=py3.8_cuda10.2_cudnn7.6.5_0- pytorch-mutex=1.0=cuda- readline=8.1.2=h7f8727e_1- requests=2.27.1=pyhd3eb1b0_0- setuptools=58.0.4=py38h06a4308_0- six=1.16.0=pyhd3eb1b0_0- sqlite=3.37.0=hc218d9a_0- tk=8.6.11=h1ccaba5_0- torchaudio=0.10.1=py38_cu102- torchvision=0.11.2=py38_cu102- typing_extensions=3.10.0.2=pyh06a4308_0- urllib3=1.26.7=pyhd3eb1b0_0- wheel=0.37.1=pyhd3eb1b0_0- xz=5.2.5=h7b6447c_0- zlib=1.2.11=h7f8727e_4- zstd=1.4.9=haebb681_0- pip:- ahocorasick-rs==0.12.0- asgiref==3.4.1- attrs==21.4.0- click==8.0.3- colorama==0.4.4- colorlog==6.6.0- dill==0.3.4- fastapi==0.68.1- filelock==3.4.2- h11==0.12.0- h5py==3.6.0- huggingface-hub==0.4.0- importlib-resources==5.4.0- jieba==0.42.1- joblib==1.1.0- jsonschema==4.4.0- kafka-python==2.0.2- loguru==0.5.3- multiprocess==0.70.12.2- packaging==21.3- paddlenlp==2.2.3- psutil==5.9.0- pydantic==1.8.2- pyparsing==3.0.6- pypinyin==0.44.0- pyrsistent==0.18.1- python-dotenv==0.19.0- pyyaml==6.0- regex==2022.1.18- sacremoses==0.0.47- scikit-learn==1.0.2- scipy==1.7.3- seqeval==1.2.2- starlette==0.14.2- threadpoolctl==3.0.0- tokenizers==0.10.3- tqdm==4.62.3- transformers==4.15.0- uvicorn==0.17.0- zipp==3.7.0
prefix: /anaconda3/envs/tp

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