我在 Ubuntu 服务器上通过 Conda 安装了 Tensorflow 和 Jupyter。
为了获得英特尔优化的 Python 发行版，我使用英特尔 channel :
ubuntu@ip-172-31-35-247:~$ conda config --add channels intel
ubuntu@ip-172-31-35-247:~$ conda create -n idp intelpython3_core python=3
我首先安装 Tensorflow:
(idp) ubuntu@ip-172-31-35-247:~$ conda install tensorflow
Fetching package metadata ...........
Solving package specifications: .
Package plan for installation in environment /home/ubuntu/anaconda3/envs/idp:
The following NEW packages will be INSTALLED:
backports: 1.0-py35_intel_6 intel [intel]
backports.weakref: 1.0rc1-py35_0
bleach: 1.5.0-py35_intel_0 intel [intel]
html5lib: 0.9999999-py35_0
markdown: 2.6.8-py35_0
protobuf: 3.2.0-py35_intel_0 intel [intel]
tensorflow: 1.2.1-py35_0
werkzeug: 0.12.2-py35_0
Proceed ([y]/n)? y
接下来我安装 Jupyter:
(idp) ubuntu@ip-172-31-35-247:~$ conda install jupyter
Fetching package metadata ...........
Solving package specifications: .
Package plan for installation in environment /home/ubuntu/anaconda3/envs/idp:
The following NEW packages will be INSTALLED:
decorator: 4.0.11-py35_intel_0 intel [intel]
entrypoints: 0.2.2-py35_intel_2 intel [intel]
get_terminal_size: 1.0.0-py35_intel_5 intel [intel]
ipykernel: 4.5.0-py35_intel_9 intel [intel]
ipython: 5.3.0-py35_intel_0 intel [intel]
ipython_genutils: 0.2.0-py35_intel_0 intel [intel]
ipywidgets: 6.0.0-py35_intel_0 intel [intel]
jinja2: 2.9.5-py35_intel_3 intel [intel]
jsonschema: 2.5.1-py35_intel_5 intel [intel]
jupyter: 1.0.0-py35_intel_5 intel [intel]
jupyter_client: 5.0.0-py35_intel_0 intel [intel]
jupyter_console: 5.1.0-py35_intel_0 intel [intel]
jupyter_core: 4.3.0-py35_intel_0 intel [intel]
libsodium: 1.0.10-intel_6 intel [intel]
markupsafe: 0.23-py35_intel_6 intel [intel]
mistune: 0.7.4-py35_intel_0 intel [intel]
nbconvert: 5.1.1-py35_intel_0 intel [intel]
nbformat: 4.3.0-py35_intel_0 intel [intel]
notebook: 5.0.0-py35_intel_0 intel [intel]
pandocfilters: 1.4.1-py35_intel_0 intel [intel]
path.py: 10.1-py35_intel_0 intel [intel]
pexpect: 4.2.1-py35_intel_0 intel [intel]
pickleshare: 0.7.4-py35_intel_1 intel [intel]
prompt_toolkit: 1.0.14-py35_intel_0 intel [intel]
ptyprocess: 0.5.1-py35_intel_5 intel [intel]
pygments: 2.2.0-py35_intel_0 intel [intel]
pyzmq: 16.0.2-py35_intel_2 intel [intel]
simplegeneric: 0.8.1-py35_intel_5 intel [intel]
terminado: 0.6-py35_intel_6 intel [intel]
testpath: 0.3-py35_intel_0 intel [intel]
tornado: 4.4.2-py35_intel_0 intel [intel]
traitlets: 4.3.2-py35_intel_0 intel [intel]
wcwidth: 0.1.7-py35_intel_5 intel [intel]
widgetsnbextension: 2.0.0-py35_0 intel
zeromq: 4.1.5-intel_0 intel [intel]
The following packages will be SUPERSEDED by a higher-priority channel:
html5lib: 0.9999999-py35_0 --> 0.999-py35_intel_0 intel [intel]
The following packages will be DOWNGRADED:
tensorflow: 1.2.1-py35_0 --> 1.1.0-np112py35_0
为什么 Conda 会降级以前安装的 Tensorflow 软件包？与intel channel 有关吗？
最佳答案
我尝试重新创建您的环境，它对我来说效果很好。 Tensorflow 没有降级。也许这个问题在最新版本中已得到解决。
您还可以尝试通过 Anaconda 从 Intel Distribution for Python(IDP) 安装优化的 TensorFlow 库 - 请参阅 Intel Optimized TensorFlow* Installation Guide .
关于python - 为什么 Jupyter 在通过 Conda 安装时会降级 Tensorflow？，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/45876915/