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[英]How can I see what packages were installed using `sudo pip install`?
[英]How can I install conda packages on Linux if they were originally installed on Windows?
我在 Windows PC 上本地安裝了 conda,還遠程安裝在 Linux 服務器上。 我已經在我的 Windows PC 上本地安裝了 conda 包,我想在 Linux 服務器上安裝相同的包。 我已經嘗試了以下步驟:
conda list -e > requirements.txt
創建包含當前安裝的包及其版本的requirements.txt
文件。requirements.txt
文件傳輸到我的 Linux 服務器。conda install --yes --file requirements.txt
在我的conda
base
環境中安裝這些包。但是,當我嘗試完成步驟 3 時,我在 Linux 服務器上收到以下錯誤消息:
Solving environment: failed
PackagesNotFoundError: The following packages are not available from current channels:
- ca-certificates==2020.12.8=haa95532_0
- m2w64-gcc-libs-core==5.3.0=7
- audioread==2.1.8=pypi_0
- pywin32-ctypes==0.2.0=py38_1000
- notebook==6.1.5=py38haa95532_0
- librosa==0.8.0=pypi_0
- numpy-base==1.19.2=py38ha3acd2a_0
- psutil==5.7.2=py38he774522_0
- numpy==1.19.2=py38hadc3359_0
- regex==2020.11.13=py38h2bbff1b_0
- spyder-kernels==1.10.0=py38haa95532_0
- appdirs==1.4.4=pypi_0
- ujson==4.0.1=py38ha925a31_0
- setuptools==51.0.0=py38haa95532_2
- sklearn-crfsuite==0.3.6=pypi_0
- pywinpty==0.5.7=py38_0
- m2w64-gmp==6.1.0=2
- pyyaml==5.3.1=py38he774522_1
- bzip2==1.0.8=he774522_0
- sounddevice==0.4.1=pypi_0
- certifi==2020.12.5=py38haa95532_0
- gpytorch==1.3.0=pypi_0
- winpty==0.4.3=4
- pyzmq==20.0.0=py38hd77b12b_1
- pytorch==1.7.1=py3.8_cpu_0
- lazy-object-proxy==1.4.3=py38h2bbff1b_2
- zeromq==4.3.3=ha925a31_3
- ipython==7.19.0=py38hd4e2768_0
- mkl_fft==1.2.0=py38h45dec08_0
- conda-package-handling==1.7.2=py38h76e460a_0
- vc==14.2=h21ff451_1
- cpuonly==1.0=0
- pip==20.3.1=py38haa95532_0
- tornado==6.1=py38h2bbff1b_0
- libarchive==3.4.2=h5e25573_0
- msys2-conda-epoch==20160418=1
- pandocfilters==1.4.3=py38haa95532_1
- scikit-learn==0.23.2=pypi_0
- torchaudio==0.7.2=py38
- soundfile==0.10.3.post1=pypi_0
- gsl==2.4=hfa6e2cd_4
- kiwisolver==1.3.0=py38hd77b12b_0
- argon2-cffi==20.1.0=py38he774522_1
- dataclasses==0.6=pypi_0
- libtiff==4.1.0=h56a325e_1
- torchvision==0.8.2=py38_cpu
- m2w64-libwinpthread-git==5.0.0.4634.697f757=2
- numba==0.51.2=pypi_0
- pooch==1.2.0=pypi_0
- cvxopt==1.2.0=py38hdc3235a_0
- tabulate==0.8.7=pypi_0
- pillow==8.0.1=py38h4fa10fc_0
- libpng==1.6.37=h2a8f88b_0
- libiconv==1.15=h1df5818_7
- rtree==0.9.4=py38h21ff451_1
- qt==5.9.7=vc14h73c81de_0
- ruamel_yaml==0.15.87=py38he774522_1
- libsodium==1.0.18=h62dcd97_0
- yaml==0.2.5=he774522_0
- m2w64-gcc-libs==5.3.0=7
- libspatialindex==1.9.3=h33f27b4_0
- jedi==0.17.2=py38haa95532_1
- tk==8.6.10=he774522_0
- six==1.15.0=py38haa95532_0
- python-crfsuite==0.9.7=pypi_0
- spyder==4.2.0=py38haa95532_0
- cffi==1.14.4=py38hcd4344a_0
- xz==5.2.5=h62dcd97_0
- console_shortcut==0.1.1=4
- sqlite==3.33.0=h2a8f88b_0
- pycosat==0.6.3=py38h2bbff1b_0
- pyrsistent==0.17.3=py38he774522_0
- markupsafe==1.1.1=py38he774522_0
- bcrypt==3.2.0=py38he774522_0
- libuv==1.40.0=he774522_0
- brotlipy==0.7.0=py38h2bbff1b_1003
- mistune==0.8.4=py38he774522_1000
- wrapt==1.11.2=py38he774522_0
- powershell_shortcut==0.0.1=3
- mkl-service==2.3.0=py38h196d8e1_0
- pysocks==1.7.1=py38haa95532_0
- typeguard==2.10.0=pypi_0
- jpeg==9b=hb83a4c4_2
- libxml2==2.9.10=hb89e7f3_3
- freetype==2.10.4=hd328e21_0
- python==3.8.5=h5fd99cc_1
- liblief==0.10.1=ha925a31_0
- sip==4.19.13=py38ha925a31_0
- scipy==1.5.4=pypi_0
- pywin32==227=py38he774522_1
- nltk==3.5=pypi_0
- py-lief==0.10.1=py38ha925a31_0
- threadpoolctl==2.1.0=pypi_0
- zlib==1.2.11=h62dcd97_4
- cudatoolkit==10.2.89=h74a9793_1
- zstd==1.4.5=h04227a9_0
- mkl_random==1.1.1=py38h47e9c7a_0
- glpk==4.65=hdc00fd2_2
- ninja==1.10.2=py38h6d14046_0
- joblib==0.17.0=pypi_0
- typed-ast==1.4.1=py38he774522_0
- pandas==1.1.3=py38ha925a31_0
- llvmlite==0.34.0=pypi_0
- resampy==0.2.2=pypi_0
- pynacl==1.4.0=py38h62dcd97_1
- vs2015_runtime==14.27.29016=h5e58377_2
- icu==58.2=ha925a31_3
- matplotlib-base==3.3.2=py38hba9282a_0
- menuinst==1.4.16=py38he774522_1
- pyqt==5.9.2=py38ha925a31_4
- cryptography==3.3.1=py38hcd4344a_0
- jupyter_core==4.7.0=py38haa95532_0
- ax-platform==0.1.19=pypi_0
- botorch==0.3.3=pypi_0
- win_inet_pton==1.1.0=py38haa95532_0
- pkginfo==1.6.1=py38haa95532_0
- openssl==1.1.1i=h2bbff1b_0
- wincertstore==0.2=py38_0
- matplotlib==3.3.2=pypi_0
- lz4-c==1.9.2=hf4a77e7_3
- pandoc==2.11=h9490d1a_0
- conda==4.9.2=py38haa95532_0
- ad3==2.3.dev0=pypi_0
- retrying==1.3.3=pypi_0
- plotly==4.14.1=pypi_0
- m2w64-gcc-libgfortran==5.3.0=6
- watchdog==0.10.4=py38haa95532_0
- chardet==3.0.4=py38haa95532_1003
Current channels:
- https://repo.anaconda.com/pkgs/main/linux-64
- https://repo.anaconda.com/pkgs/main/noarch
- https://repo.anaconda.com/pkgs/free/linux-64
- https://repo.anaconda.com/pkgs/free/noarch
- https://repo.anaconda.com/pkgs/r/linux-64
- https://repo.anaconda.com/pkgs/r/noarch
- https://repo.anaconda.com/pkgs/pro/linux-64
- https://repo.anaconda.com/pkgs/pro/noarch
To search for alternate channels that may provide the conda package you're
looking for, navigate to
https://anaconda.org
and use the search bar at the top of the page.
我知道問題在於我沒有查看正確的conda
頻道,正如錯誤消息所暗示的那樣,但我不確定如何解決這個問題。
謝謝您的幫助。
官方文檔有一些額外的步驟來讓環境跨平台工作。 這是鏈接。
但是,如果您不使用僅在 anaconda 通道中可用的軟件包,則可以執行以下操作。
在您的 conda 環境(Windows 和 linux 服務器)上都有 pip
使用pip freeze
而不是 conda 制作 requirements.txt 文件。 從windows機器
$ pip 凍結> requirements.txt
使用 pip 正常安裝 linux 服務器中的軟件包。
$ pip install -r requirements.txt
我並不是說這是最好的選擇。 但這種方式通常更容易支持其他環境管理包,如 pyenv。
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