Trickconda指令安装yml文件中的python依赖

涵子

安装python依赖通常使用【pip】或【conda】指令，pip主要用于txt文件，conda主要用于yml文件。以下将给出其使用方法pip首先，创建一个YAML文件，列出python依赖项。dependencies:-python=3.8-numpy-pandas-matplotlib然后，打开终端，运行pip指令（假设文件名为requirements，实际应用时下列指令应该根据文件名进行修改）。对于yml：pipinstall-rrequirements.yml对于txt：pipinstall-rrequirements.txt后续只需等待即可。 conda 首先，创建一个YAML文件，列出python依赖项。channels:-defaultsdependencies:-python=3.8-numpy-pandas-matplotlib然后，打开终端，运行conda指令（假设文件名为requirements，实际应用时下列指令应该根据文件名进行修改）。对于yml：condaenvcreate-frequirements.yml后续只需等待即可。 实际案例yml文件内容如下：name:con_110channels:-pytorch-defaultsdependencies:-_libgcc_mutex=0.1=main-_openmp_mutex=4.5=1_gnu-backcall=0.2.0=pyhd3eb1b0_0-blas=1.0=mkl-bzip2=1.0.8=h7b6447c_0-ca-certificates=2022.07.19=h06a4308_0-certifi=2022.9.24=py37h06a4308_0-cudatoolkit=11.3.1=h2bc3f7f_2-debugpy=1.5.1=py37h295c915_0-decorator=5.1.1=pyhd3eb1b0_0-entrypoints=0.4=py37h06a4308_0-faiss-gpu=1.7.2=py3.7_h28a55e0_0_cuda11.3-ffmpeg=4.3=hf484d3e_0-freetype=2.11.0=h70c0345_0-giflib=5.2.1=h7b6447c_0-gmp=6.2.1=h2531618_2-gnutls=3.6.15=he1e5248_0-intel-openmp=2021.4.0=h06a4308_3561-ipykernel=6.15.2=py37h06a4308_0-ipython=7.31.1=py37h06a4308_1-jedi=0.18.1=py37h06a4308_1-joblib=1.1.0=pyhd3eb1b0_0-jpeg=9d=h7f8727e_0-jupyter_client=7.1.2=pyhd3eb1b0_0-jupyter_core=4.11.1=py37h06a4308_0-lame=3.100=h7b6447c_0-lcms2=2.12=h3be6417_0-ld_impl_linux-64=2.35.1=h7274673_9-libfaiss=1.7.2=hfc2d529_0_cuda11.3-libffi=3.3=he6710b0_2-libgcc-ng=9.3.0=h5101ec6_17-libgfortran-ng=7.5.0=ha8ba4b0_17-libgfortran4=7.5.0=ha8ba4b0_17-libgomp=9.3.0=h5101ec6_17-libiconv=1.15=h63c8f33_5-libidn2=2.3.2=h7f8727e_0-libpng=1.6.37=hbc83047_0-libsodium=1.0.18=h7b6447c_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=1.2.2=h55f646e_0-libwebp-base=1.2.2=h7f8727e_0-lz4-c=1.9.3=h295c915_1-matplotlib-inline=0.1.6=py37h06a4308_0-mkl=2021.4.0=h06a4308_640-mkl-service=2.4.0=py37h7f8727e_0-mkl_fft=1.3.1=py37hd3c417c_0-mkl_random=1.2.2=py37h51133e4_0-ncurses=6.3=h7f8727e_2-nest-asyncio=1.5.5=py37h06a4308_0-nettle=3.7.3=hbbd107a_1-numpy=1.21.2=py37h20f2e39_0-numpy-base=1.21.2=py37h79a1101_0-olefile=0.46=py37_0-openh264=2.1.1=h4ff587b_0-openssl=1.1.1q=h7f8727e_0-packaging=21.3=pyhd3eb1b0_0-parso=0.8.3=pyhd3eb1b0_0-pexpect=4.8.0=pyhd3eb1b0_3-pickleshare=0.7.5=pyhd3eb1b0_1003-pillow=8.4.0=py37h5aabda8_0-pip=21.2.2=py37h06a4308_0-prompt-toolkit=3.0.20=pyhd3eb1b0_0-ptyprocess=0.7.0=pyhd3eb1b0_2-py=1.11.0=pyhd3eb1b0_0-pygments=2.11.2=pyhd3eb1b0_0-pyparsing=3.0.9=py37h06a4308_0-python=3.7.11=h12debd9_0-python-dateutil=2.8.2=pyhd3eb1b0_0-pytorch=1.10.2=py3.7_cuda11.3_cudnn8.2.0_0-pytorch-mutex=1.0=cuda-pyzmq=22.3.0=py37h295c915_2-readline=8.1.2=h7f8727e_1-scikit-learn=1.0.2=py37h51133e4_1-scipy=1.7.3=py37hc147768_0-setuptools=58.0.4=py37h06a4308_0-six=1.16.0=pyhd3eb1b0_1-sqlite=3.37.2=hc218d9a_0-threadpoolctl=2.2.0=pyh0d69192_0-tk=8.6.11=h1ccaba5_0-torchvision=0.11.3=py37_cu113-tornado=6.1=py37h27cfd23_0-tqdm=4.62.3=pyhd3eb1b0_1-traitlets=5.1.1=pyhd3eb1b0_0-typing_extensions=3.10.0.2=pyh06a4308_0-wcwidth=0.2.5=pyhd3eb1b0_0-wheel=0.37.1=pyhd3eb1b0_0-xz=5.2.5=h7b6447c_0-zeromq=4.3.4=h2531618_0-zlib=1.2.11=h7f8727e_4-zstd=1.4.9=haebb681_0-pip:-charset-normalizer==2.0.12-click==8.0.4-docker-pycreds==0.4.0-gitdb==4.0.9-gitpython==3.1.27-idna==3.3-importlib-metadata==4.11.1-pathtools==0.1.2-promise==2.3-protobuf==3.19.4-psutil==5.9.0-pyyaml==6.0-requests==2.27.1-sentry-sdk==1.5.6-shortuuid==1.0.8-smmap==5.0.0-termcolor==1.1.0-urllib3==1.26.8-wandb==0.12.10-yaspin==2.1.0-zipp==3.7.0conda指令如下：condaenvcreate-fenvironment.yml运行过程如下：(base)ubuntu@xwk2:~/GG$condaenvcreate-fenvironment.ymlRetrievingnotices:...working...doneCollectingpackagemetadata(repodata.json):-WARNINGconda.models.version:get_matcher(556):Using.*withrelationaloperatorissuperfluousanddeprecatedandwillberemovedinafutureversionofconda.Yourspecwas1.7.1.*,butcondaisignoringthe.*andtreatingitas1.7.1WARNINGconda.models.version:get_matcher(556):Using.*withrelationaloperatorissuperfluousanddeprecatedandwillberemovedinafutureversionofconda.Yourspecwas1.9.0.*,butcondaisignoringthe.*andtreatingitas1.9.0WARNINGconda.models.version:get_matcher(556):Using.*withrelationaloperatorissuperfluousanddeprecatedandwillberemovedinafutureversionofconda.Yourspecwas1.8.0.*,butcondaisignoringthe.*andtreatingitas1.8.0WARNINGconda.models.version:get_matcher(556):Using.*withrelationaloperatorissuperfluousanddeprecatedandwillberemovedinafutureversionofconda.Yourspecwas1.6.0.*,butcondaisignoringthe.*andtreatingitas1.6.0doneSolvingenvironment:done==>WARNING:Anewerversionofcondaexists.=1.4.0in/home/ubuntu/miniconda3/envs/con_110/lib/python3.7/site-packages(fromdocker-pycreds==0.4.0->-r/home/ubuntu/GLC/condaenv.h1f9e76a.requirements.txt(line3))(1.16.0)Requirementalreadysatisfied:typing-extensions>=3.7.4.3in/home/ubuntu/miniconda3/envs/con_110/lib/python3.7/site-packages(fromgitpython==3.1.27->-r/home/ubuntu/GLC/condaenv.h1f9e76a.requirements.txt(line5))(3.10.0.2)Requirementalreadysatisfied:certifi>=2017.4.17in/home/ubuntu/miniconda3/envs/con_110/lib/python3.7/site-packages(fromrequests==2.27.1->-r/home/ubuntu/GLC/condaenv.h1f9e76a.requirements.txt(line13))(2022.9.24)Requirementalreadysatisfied:python-dateutil>=2.6.1in/home/ubuntu/miniconda3/envs/con_110/lib/python3.7/site-packages(fromwandb==0.12.10->-r/home/ubuntu/GLC/condaenv.h1f9e76a.requirements.txt(line19))(2.8.2)Buildingwheelsforcollectedpackages:pathtools,promise,termcolorBuildingwheelforpathtools(setup.py):startedBuildingwheelforpathtools(setup.py):finishedwithstatus'done'Createdwheelforpathtools:filename=pathtools-0.1.2-py3-none-any.whlsize=8806sha256=a66ada93957cf7fc7b3ef5bffd7844b018a4a97eaca9289f2e292761489ee2d8Storedindirectory:/home/ubuntu/.cache/pip/wheels/3e/31/09/fa59cef12cdcfecc627b3d24273699f390e71828921b2cbba2Buildingwheelforpromise(setup.py):startedBuildingwheelforpromise(setup.py):finishedwithstatus'done'Createdwheelforpromise:filename=promise-2.3-py3-none-any.whlsize=21503sha256=884eb51f491d088c5fb1959e5be5f3ec41086ef58eac9c32cc737c5c83a45578Storedindirectory:/home/ubuntu/.cache/pip/wheels/29/93/c6/762e359f8cb6a5b69c72235d798804cae523bbe41c2aa8333dBuildingwheelfortermcolor(setup.py):startedBuildingwheelfortermcolor(setup.py):finishedwithstatus'done'Createdwheelfortermcolor:filename=termcolor-1.1.0-py3-none-any.whlsize=4848sha256=889e55b1d10f55c622c011af4442358d02ae5abd2629c38ed91bdaebd3dd542dStoredindirectory:/home/ubuntu/.cache/pip/wheels/3f/e3/ec/8a8336ff196023622fbcb36de0c5a5c218cbb24111d1d4c7f2SuccessfullybuiltpathtoolspromisetermcolorInstallingcollectedpackages:zipp,smmap,urllib3,termcolor,importlib-metadata,idna,gitdb,charset-normalizer,yaspin,shortuuid,sentry-sdk,requests,pyyaml,psutil,protobuf,promise,pathtools,gitpython,docker-pycreds,click,wandbAttemptinguninstall:psutilFoundexistinginstallation:psutil5.8.0Uninstallingpsutil-5.8.0:Successfullyuninstalledpsutil-5.8.0Successfullyinstalledcharset-normalizer-2.0.12click-8.0.4docker-pycreds-0.4.0gitdb-4.0.9gitpython-3.1.27idna-3.3importlib-metadata-4.11.1pathtools-0.1.2promise-2.3protobuf-3.19.4psutil-5.9.0pyyaml-6.0requests-2.27.1sentry-sdk-1.5.6shortuuid-1.0.8smmap-5.0.0termcolor-1.1.0urllib3-1.26.8wandb-0.12.10yaspin-2.1.0zipp-3.7.0done##Toactivatethisenvironment,use##$condaactivatecon_110##Todeactivateanactiveenvironment,use##$condadeactivate