如何修复 conda 中的包解析警告?
问题描述
每当我尝试 conda update --all 或 conda install package_name 时，我都会收到一些关于 tensorflow-gpu 的包解析警告.
Whenever I tried to conda update --all or conda install package_name I keep getting few package resolution warnings regarding tensorflow-gpu.
我不知道如何修复它们?非常感谢任何帮助.
I couldn't figure out how to fix them? I would really appreciate any help.
这是我的 conda info 和 conda list
C:WINDOWSsystem32>conda info
active environment : None
shell level : 0
user config file : C:UsersAdmin.condarc
populated config files : C:UsersAdmin.condarc
conda version : 4.7.5
conda-build version : 3.18.6
python version : 3.7.3.final.0
virtual packages : __cuda=10.2
base environment : C:UsersAdminAnaconda3 (writable)
channel URLs : https://conda.anaconda.org/conda-forge/win-64
https://conda.anaconda.org/conda-forge/noarch
https://repo.anaconda.com/pkgs/main/win-64
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/r/win-64
https://repo.anaconda.com/pkgs/r/noarch
https://repo.anaconda.com/pkgs/msys2/win-64
https://repo.anaconda.com/pkgs/msys2/noarch
package cache : C:UsersAdminAnaconda3pkgs
C:UsersAdmin.condapkgs
C:UsersAdminAppDataLocalcondacondapkgs
envs directories : C:UsersAdminAnaconda3envs
C:UsersAdmin.condaenvs
C:UsersAdminAppDataLocalcondacondaenvs
platform : win-64
user-agent : conda/4.7.5 requests/2.22.0 CPython/3.7.3 Windows/10 Windows/10.0.18362
administrator : True
netrc file : None
offline mode : False
C:WINDOWSsystem32>conda list
# packages in environment at C:UsersAdminAnaconda3:
#
# Name Version Build Channel
_ipyw_jlab_nb_ext_conf 0.1.0 py37_0
_tflow_select 2.1.0 gpu anaconda
absl-py 0.7.1 py37_0 conda-forge
anaconda-client 1.7.2 py_0 conda-forge
anaconda-navigator 1.9.7 py37_0
asn1crypto 0.24.0 py37_1003 conda-forge
astor 0.7.1 py_0 conda-forge
attrs 19.1.0 py_0 conda-forge
babel 2.7.0 py_0 conda-forge
backcall 0.1.0 py_0 conda-forge
beautifulsoup4 4.7.1 py37_1001 conda-forge
blas 1.0 mkl
bleach 3.1.0 py_0 conda-forge
blinker 1.4 py_1 conda-forge
boto 2.49.0 py_0 conda-forge
boto3 1.9.180 py_0 conda-forge
botocore 1.12.180 py_0 conda-forge
bz2file 0.98 py_0 conda-forge
bzip2 1.0.6 hfa6e2cd_1002 conda-forge
ca-certificates 2019.6.16 hecc5488_0 conda-forge
catboost 0.15.2 py37_0 conda-forge
certifi 2019.6.16 py37_0 conda-forge
cffi 1.12.3 py37hb32ad35_0 conda-forge
chardet 3.0.4 py37_1003 conda-forge
click 7.0 py_0 conda-forge
clyent 1.2.2 py_1 conda-forge
colorama 0.4.1 py_0 conda-forge
conda 4.7.5 py37_0 conda-forge
conda-build 3.18.6 py37_0 conda-forge
conda-env 2.6.0 1 conda-forge
conda-package-handling 1.3.10 py37_0 conda-forge
conda-verify 3.1.1 py37_1000 conda-forge
contractions 0.0.18 pypi_0 pypi
cryptography 2.7 py37hb32ad35_0 conda-forge
cudatoolkit 10.0.130 0 anaconda
cudnn 7.6.0 cuda10.0_0 anaconda
cycler 0.10.0 py_1 conda-forge
decorator 4.4.0 py_0 conda-forge
deepreplay 0.1.2a2 pypi_0 pypi
defusedxml 0.5.0 py_1 conda-forge
docutils 0.14 py37_1001 conda-forge
entrypoints 0.3 py37_1000 conda-forge
filelock 3.0.10 py_0 conda-forge
flashtext 2.7 pypi_0 pypi
freetype 2.10.0 h5db478b_0 conda-forge
future 0.17.1 py37_1000 conda-forge
gast 0.2.2 py_0 conda-forge
gensim 3.7.1 py37h6538335_1 conda-forge
glob2 0.7 py_0 conda-forge
grpcio 1.16.1 py37h351948d_1
h5py 2.9.0 nompi_py37h3cb27cb_1102 conda-forge
hdf5 1.10.4 nompi_hcc15c50_1106 conda-forge
hyperas 0.4.1 pypi_0 pypi
hyperopt 0.1.2 py_0 conda-forge
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha66f8fd_1
idna 2.8 py37_1000 conda-forge
intel-openmp 2019.4 245
ipykernel 5.1.1 py37h39e3cac_0 conda-forge
ipython 7.6.0 py37h5ca1d4c_0 conda-forge
ipython_genutils 0.2.0 py_1 conda-forge
ipywidgets 7.4.2 py_0 conda-forge
jedi 0.14.0 py37_0 conda-forge
jinja2 2.10.1 py_0 conda-forge
jmespath 0.9.4 py_0 conda-forge
joblib 0.13.2 py_0 conda-forge
jpeg 9c hfa6e2cd_1001 conda-forge
json5 0.8.4 py_0 conda-forge
jsonschema 3.0.1 py37_0 conda-forge
jupyter 1.0.0 py_2 conda-forge
jupyter_client 5.2.4 py_3 conda-forge
jupyter_console 6.0.0 py_0 conda-forge
jupyter_core 4.4.0 py_0 conda-forge
jupyterlab 1.0.0 py37_0 conda-forge
jupyterlab_server 1.0.0 py_0 conda-forge
keras 2.2.4 py37_1 conda-forge
keras-applications 1.0.7 py_1 conda-forge
keras-preprocessing 1.0.9 py_1 conda-forge
kiwisolver 1.1.0 py37he980bc4_0 conda-forge
libarchive 3.3.3 h4890af2_1005 conda-forge
libblas 3.8.0 8_mkl conda-forge
libcblas 3.8.0 8_mkl conda-forge
libgpuarray 0.7.6 hfa6e2cd_1003 conda-forge
libiconv 1.15 hfa6e2cd_1005 conda-forge
liblapack 3.8.0 8_mkl conda-forge
liblapacke 3.8.0 8_mkl conda-forge
liblief 0.9.0 ha925a31_2
libpng 1.6.37 h7602738_0 conda-forge
libprotobuf 3.8.0 h1a1b453_0 conda-forge
libsodium 1.0.16 h2fa13f4_1001 conda-forge
libtiff 4.0.10 h6512ee2_1003 conda-forge
libwebp 1.0.2 hfa6e2cd_2 conda-forge
libxml2 2.9.9 h9ce36c8_0 conda-forge
lightgbm 2.2.3 py37h6538335_0 conda-forge
lz4-c 1.8.3 he025d50_1001 conda-forge
lzo 2.10 hfa6e2cd_1000 conda-forge
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-libwinpthread-git 5.0.0.4634.697f757 2
mako 1.0.10 py_0 conda-forge
markdown 2.6.11 py_0 conda-forge
markupsafe 1.1.1 py37hfa6e2cd_0 conda-forge
matplotlib 3.1.0 py37_1 conda-forge
matplotlib-base 3.1.0 py37h2852a4a_1 conda-forge
menuinst 1.4.16 py37_0 conda-forge
missingno 0.4.1 py_0 conda-forge
mistune 0.8.4 py37hfa6e2cd_1000 conda-forge
mkl 2019.4 245
mlxtend 0.16.0 py_0 conda-forge
msys2-conda-epoch 20160418 1
navigator-updater 0.2.1 py37_0
nbconvert 5.5.0 py_0 conda-forge
nbformat 4.4.0 py_1 conda-forge
nbopen 0.6 pypi_0 pypi
networkx 2.3 py_0 conda-forge
nltk 3.2.5 py_0 conda-forge
notebook 5.7.8 py37_1 conda-forge
numpy 1.16.4 py37hc71023c_0 conda-forge
oauthlib 3.0.1 py_0 conda-forge
olefile 0.46 py_0 conda-forge
opencv 4.1.0 py37hb4945ee_5 conda-forge
openssl 1.1.1b hfa6e2cd_2 conda-forge
pandas 0.24.2 py37he350917_0 conda-forge
pandoc 2.7.3 0 conda-forge
pandocfilters 1.4.2 py_1 conda-forge
parso 0.5.0 py_0 conda-forge
patsy 0.5.1 py_0 conda-forge
pickleshare 0.7.5 py37_1000 conda-forge
pillow 6.0.0 py37h9a613e6_0 conda-forge
pip 19.1.1 py37_0 conda-forge
pkginfo 1.5.0.1 py_0 conda-forge
prometheus_client 0.7.1 py_0 conda-forge
prompt_toolkit 2.0.9 py_0 conda-forge
protobuf 3.8.0 py37he025d50_1 conda-forge
psutil 5.6.3 py37hfa6e2cd_0 conda-forge
py-lief 0.9.0 py37ha925a31_2
pycosat 0.6.3 py37hfa6e2cd_1001 conda-forge
pycparser 2.19 py37_1 conda-forge
pygments 2.4.2 py_0 conda-forge
pygpu 0.7.6 py37h452e1ab_1000 conda-forge
pyjwt 1.7.1 py_0 conda-forge
pymongo 3.8.0 py37h6538335_0 conda-forge
pyopenssl 19.0.0 py37_0 conda-forge
pyparsing 2.4.0 py_0 conda-forge
pyqt 5.9.2 py37h6538335_0 conda-forge
pyreadline 2.1 py37_1000 conda-forge
pyrsistent 0.15.2 py37hfa6e2cd_0 conda-forge
pysocks 1.7.0 py37_0 conda-forge
python 3.7.3 hb12ca83_0 conda-forge
python-crfsuite 0.9.6 py37he980bc4_1000 conda-forge
python-dateutil 2.8.0 py_0 conda-forge
python-libarchive-c 2.8 py37_1004 conda-forge
pytz 2019.1 py_0 conda-forge
pywin32 224 py37hfa6e2cd_1000 conda-forge
pywinpty 0.5.5 py37_1000 conda-forge
pyyaml 5.1.1 py37hfa6e2cd_0 conda-forge
pyzmq 18.0.2 py37he7828b0_0 conda-forge
qt 5.9.7 vc14h73c81de_0 [vc14] anaconda
qtconsole 4.5.1 py_0 conda-forge
qtpy 1.8.0 py_0 conda-forge
requests 2.22.0 py37_0 conda-forge
requests-oauthlib 1.2.0 py_0 conda-forge
ruamel_yaml 0.15.71 py37hfa6e2cd_1000 conda-forge
s3transfer 0.2.1 py37_0 conda-forge
scikit-learn 0.21.2 py37h7208079_1 conda-forge
scipy 1.2.1 py37h29ff71c_0
seaborn 0.9.0 py_1 conda-forge
send2trash 1.5.0 py_0 conda-forge
setuptools 41.0.1 py37_0 conda-forge
sip 4.19.8 py37h6538335_1000 conda-forge
six 1.12.0 py37_1000 conda-forge
smart_open 1.8.4 py_0 conda-forge
soupsieve 1.9.2 py37_0 conda-forge
sqlite 3.28.0 hfa6e2cd_0 conda-forge
statsmodels 0.10.0 py37hfa6e2cd_0 conda-forge
tensorboard 1.13.1 py37_0 conda-forge
tensorflow 1.13.1 gpu_py37h83e5d6a_0 anaconda
tensorflow-base 1.13.1 gpu_py37h871c8ca_0 anaconda
tensorflow-estimator 1.13.0 py37h39e3cac_0 conda-forge
tensorflow-gpu 1.13.1 h0d30ee6_0 anaconda
termcolor 1.1.0 py_2 conda-forge
terminado 0.8.2 py37_0 conda-forge
testpath 0.4.2 py_1001 conda-forge
textblob 0.15.3 py_0 conda-forge
theano 1.0.4 py37h6538335_1000 conda-forge
tk 8.6.9 hfa6e2cd_1002 conda-forge
tornado 6.0.3 py37hfa6e2cd_0 conda-forge
tqdm 4.32.2 py_0 conda-forge
traitlets 4.3.2 py37_1000 conda-forge
twython 3.7.0 py_0 conda-forge
urllib3 1.24.3 py37_0 conda-forge
vc 14.1 h0510ff6_4
vs2015_runtime 14.15.26706 h3a45250_4
vs2015_win-64 14.0.25420 h55c1224_11
wcwidth 0.1.7 py_1 conda-forge
webencodings 0.5.1 py_1 conda-forge
werkzeug 0.15.4 py_0 conda-forge
wheel 0.33.4 py37_0 conda-forge
widgetsnbextension 3.4.2 py37_1000 conda-forge
win_inet_pton 1.1.0 py37_0 conda-forge
wincertstore 0.2 py37_1002 conda-forge
winpty 0.4.3 4 conda-forge
wordcloud 1.5.0 py37hfa6e2cd_1000 conda-forge
xgboost 0.90 pypi_0 pypi
xz 5.2.4 h2fa13f4_1001 conda-forge
yaml 0.1.7 hfa6e2cd_1001 conda-forge
zeromq 4.3.1 he025d50_1000 conda-forge
zlib 1.2.11 h2fa13f4_1004 conda-forge
zstd 1.4.0 hd8a0e53_0 conda-forge
解决方案
conda 找到了几种升级环境的方法.屏幕截图中的输出被截断，但看起来它可以从不同的渠道中选择多个包(tensorflow-base、cudatoolkit...)的相同版本.
conda found several ways in which to upgrade your environment. The output in your screenshot is truncated, but it looks like it can pick the same versions of several packages (tensorflow-base, cudatoolkit,...) from different channels.
尝试强制执行严格的频道优先级:
Try to enforce strict channel priority:
conda update --strict-channel-priority --all
如果没有帮助，请从特定渠道显式安装一个或多个这些软件包，这样 conda 就不必再决定是从 anaconda:: 还是从 默认值::.
If that doesn't help, install one or more of those packages explicitly from a particular channel, so that conda no longer has to decide whether to take it from anaconda:: or from defaults::.
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