anaconda - 由于 setuptools 无法在 conda 中安装 pytorch 是 conda 的依赖项，无法删除

Question

conda install pytorch torchvision cudatoolkit=9.0 -c pytorch

这是我遇到的错误

 RemoveError: 'setuptools' is a dependency of conda and cannot be removed from
conda's operating environment.

但是，setuptools 在 conda list. 我应该怎么办？

名称 版本 构建通道

_ipyw_jlab_nb_ext_conf 0.1.0 py36he6757f0_0 _r-mutex 1.0.0 mro_2 r _tflow_select 2.1.0 gpu anaconda absl-py 0.4.0 pypi_0 pypi alabaster 0.7.10 py36hcd07829_0 anaconda
custom py36h363777c_0 anaconda-client 1.6.5
py36hd36550c_0 anaconda-navigator 1.6.9
py36hc720852_0 anaconda -project 0.8.0
py36h8b3bf89_0 asn1crypto 0.22.0
py36h8e79faa_1 astor 0.7.1
pypi_0 pypi astroid 1.5.3
py36h9d85297_0 astropy 2.0.2
py36h06391c4_4 babel 2.5.0
pypi_0 pypi backports 1.0
py36h81696a8_1 backports.shutil_get_terminal_size 1.0.0
py36h79ab834_2 beautifulsoup4 4.6.0
py36hd4cc5e8_1 bitarray 0.8.1
py36h6af124b_0 bkcharts 0.2
py36h7e685f7_0 blas 1.0
mkl blaze 0.11.3 py36h8a29ca5_0 bleach
2.0.0 py36h0a7e3d6_0 bokeh 0.12.10 py36h0be3b39_0 boto 2.48.0
py36h1a776d2_1 bottleneck 1.2 .1
py36hd119dfa_0 bzip2 1.0.6
vc14hdec8e7a_1 [vc14] ca 证书 2018.11.29
ha4d7672_0 conda-forge cachecontrol
0.12.3 py36hfe50d7b_0 certifi 2018.11.29 py36_1000
conda-forge cffi 1.10.0
py36hae3d1b5_1 chardet 3.0.4
py36h420ce6e_1 click 6.7
py36hec8c647_0 cloudpickle 0.4.0
py36h639d8dc_0 clyent 1.2.2
py36hb10d595_1 colorama 0.3.9
py36h029ae33_0 comtypes 1.1.2
py36heb9b3d1_0 conda 4.6.8
py36_0 conda-forge conda-build 3.0.27
py36h309a530_0 conda-env 2.6.0
h36134e3_1 conda-verify 2.0.0 py36h065de53_0 console_shortcut 0.1.1 h6bb2dd7_3 contextlib2 0.5.5 py36he5d52c0_0 crowdposetools 2.0 pypi_0 pypi cryptography 2.5
py36h74b6da3_1 conda-forge cudatoolkit 9.0
1 anaconda cudnn 7.1.4
cuda9.0_0 anaconda curl 7.55.1
vc14hdaba4a4_3 [vc14] cycler 0.10 .0
py36h009560c_0 cython 0.26.1
py36h18049ac_0 cytoolz 0.8.2
py36h547e66e_0 dask 0.17.5
py36_0 dask-core 0.17.5 py36_0 datashape 0.5.4 py36h5770b85_0 decorator
4.1.2 py36he63a57b_0 distlib 0.2.5 py36h51371be_0 distributed 1.21.8 py36_0
docker-pycreds 0.3.0 pypi_0
pypi docutils 0.14 py36h6012d8f_0 entrypoints 0.2.3 py36hfd66bb0_2 et_xmlfile
1.0.1 py36h3d2d736_0 fastcache 1.0.2 py36hffdae1b_0 文件锁 2.0.12
py36hd7ddd41_0 烧瓶 0.12.2
py36h98b5e8f_0 烧瓶-cors 3.0.3
py36h8a3855d_0 字体-ttf-dejavu-sans-mono 2.37
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py36h11cc1bd_1 google-images-download 2.4.2
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py36ha00ad21_0 grpcio 1.14.1
pypi_0 pypi h5py 2.8.0
py36hfa6e2cd_0 conda-forge hdf5 1.10.1
vc14hb361328_0 [vc14] heapdict 1.0.0
py36h21fa5f4_0 html5lib 0.999999999
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7.0.0 py36h2e74ada_0 isort 4.2.15 py36h6198cc5_0 itsdangerous 0.24
py36hb6c5a24_1 jdcal 1.3
py36h64a5255_0 jedi 0.10.2
py36hed927a0_0 jinja2 2.9.6
py36h10aa3a0_1 jpeg 9b
vc14h4d7706e_1 [vc14] jsonschema 2.6 .0
py36h7636477_0 jupyter 1.0.0
py36h422fd7e_2 jupyter_client 5.1.0
py36h9902a9a_0 jupyter_console 5.2.0
py36h6d89b47_1 jupyter_core 4.3.0
py36h511e818_0 jupyterlab 0.27.0
py36h34cc53b_2 jupyterlab_launcher 0.4.0
py36h22c3ccf_0 keras 2.2.4
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py36_0 anaconda keras-base 2.2.4
py36_0 anaconda keras-preprocessing 1.0.5
py36_0 anaconda kiwisolver 1.0.1
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pypi_0 pypi krb5
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1.2.8 4 m2w64-bzip2 1.0.6 6 m2w64-diffutils 3.3.2 2 m2w64-gcc-libgfortran 5.3.0 6 m2w64-gcc-libs 5.3.0 7 m2w64-gcc-libs-core 5.3.0 7 m2w64-gmp
6.1.0 2 m2w64-grep 2.24 2 m2w64-libwinpthread-git 5.0.0.4634.697f757 2 m2w64-pcre 8.38 2 m2w64-wineditline 2.101 5 m2w64-zlib
1.2.8 10 mako 1.0.7 py_1 conda-forge markdown 2.
py_0 conda-forge markupsafe 1.0
py36h0e26971_1 matplotlib 3.0.2
py36_1002 conda-forge matplotlib-base 3.0.2
py36h3e3dc42_1002 conda-forge mccabe 0.6.1
py36hb41005a_1 menuinst 1.4.14
py36_1000 conda-forge mistune
0.7.4 py36h4874169_0 mkl 2018.0.0
h36b65af_4 mkl-服务 1.1.2 py36h57e144c_4 mpmath 0.19 py36he326802_2 mro-base
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pypi msgpack-python 0.4.8 py36h58b1e9d_0 msys2-conda-epoch 20160418 1 multipledispatch 0.4.9 py36he44c36e_0 navigator-updater 0.1.0 py36h8a7b86b_0 nbconvert
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py36h0006bc2_0 pyopenssl 17.2.0
py36h15ca2fc_0 pyparsing 2.2.0
py36h785a196_1 pyqt 5.6.0
py36_2 pyreadline 2.1 py36_1000
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py36h1d1928f_1 pyzmq 16.0.2
py36h38c27d9_2 qt 5.6.2
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py36h5aa48f6_0 qtconsole 4.3.1
py36h99a29a9_0 qtpy 1.3.1
py36hb8717c5_0 r-assertthat 0.2.0
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mro351_0 r
1.0 r-curl r-curl 3. .0
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mro351_0 r r-highr 0.7
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mro351_0 r r-htmlwidgets 1.2
mro351-4 .5
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mro351_0 r r-jsonlite 1.5
mro351_0 r r-knitr 1.20
mro351_0 r r-later 0.7.3
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mro 1.5
mro351_0 r r-markdown 0.8
mro351_0 r r-mime 0.5
mro351_0 r r-miniui 0.1.1.1
mro351hf348343_0 r r-mongolite 1.6
mro351_0 r r-nlme 3.1_137
mro351_0 r r-odbc 1.1.6
mro351_0 r r-openssl 1.0.2
mro351_0 r r-packrat 0.4.9_3
mro351_0 r r-pillar 1.3.0
mro351_0 r r-pkgconfig 2.0.1
mro351_0 r r-pki 0.1_5.1
mro351hf348343_0 r r-plogr 0.2.0
mro351_0 r r-plyr 1.8
mro351_0 r r-prettyunits 1.0.2
mro351_0 r r-profvis 0.3.5
mro351_0 r r-promises 1.0.1
mro351_0 r r-purrr 0.2.5
mro351_0 r r-r6 2.2.2
mro351hf348_343_0 r r-351s
0.3.dir r-rcpp 0.12.18
mro351hf348343_0 r r-rcurl 1.95_4.11
mro351hf348343_0 r r-readr 1.1.1
mro351_0 r r-readxl 1.1.0
mro351_0 r r-rematch 1.0.1
mro351_0 r r-reshape_1 2 1
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mro351_0 r r-revoutilsmath 11.0.0
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mro351_0 r r-stringi 1.1。
mro351_0 r r-stringr 1.3.1
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mro351_0 r r-utf8 1.1.4
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mro351_0 r r-xfun 0.3
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mro351_0 r r-xtable 1.8_2
mro351_0 r r-yaml 2.2.0
mro351_0 r requests 2.18.4
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py36h9b16331_2 scikit-image 0.13.0
py36h6dffa3f_1 scikit-learn 0.19.1
py36h53aea1b_0 scipy 1.0.0
py36h1260518_0 seaborn 0.8.0
py36h62cb67c_0 selenium 3.14.1
pypi_0 pypi shapely 1.6.4
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py36h17d0c80_0 sip 4.19.8
py36h6538335_1000 conda-forge 六 1.11.0
py36h4db2310_1 滑动窗口 0.0.13
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py36h5948d12_0 sqlite 3.26.0
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py36h6189b4c_0 sympy 1.1.1
py36h96708e0_0 tblib 1.3.2
py36h30f5020_0 张量板 1.11.0
py36he025d50_0 anaconda tensorflow 1.11.0
gpu_py36h5dc63e2_0 anaconda tensorflow-base 1.11.0
gpu_py36h6e53903_0 anaconda tensorflow-gpu 1.11.0
h0d30ee6_0 anaconda termcolor 1.1.0
pypi_0 pypi testpath 0.3.1
py36h2698cfe_0 theano 1.0.3
py36_0 conda-forge tk 8.6.9
hfa6e2cd_1000 conda- forge toolz 0.8.2
py36he152a52_0 龙卷风 4.5.2
py36h57f6048_0 traitlets 4.3.2
py36h096827d_0 打字 3.6.2
py36hb035bda_0 unicodecsv 0.14.1
py36h6450c06_0 urllib3 1.22
py36h276f60a_0 vc 14
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py36h6ce6cde_1 widgetsnbextension 3.0.2
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py36h1a4751e_0 yaml
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vc14h1cdd9ab_1 [vc14]

标签： anacondapytorchcondasetuptools

Answer 1

正如评论中提到的，尝试创建一个环境并安装pytorch。我已按照以下步骤操作，它对我有用。

1. 使用以下命令创建 conda 环境：

   conda create -n my_env python=3.6

2. 激活环境。

   source activate my_env

3. 安装 pytorch

   conda install pytorch torchvision cudatoolkit=9.0 -c pytorch

注意：my_env 是您的环境名称。

希望这可以帮助。