Python 在 Anaconda 上安装特定版本的 tensorflow
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install tensorflow with specific version on Anaconda
提问by user288609
回答by Cardin Lee JH
This is probably the simplest way to do it:
这可能是最简单的方法：
pip install --ignore-installed --upgrade tensorflow==1.4
If you want to see all available versions, you can check out https://pypi.python.org/pypi/tensorflow/json
如果您想查看所有可用版本，可以查看https://pypi.python.org/pypi/tensorflow/json
I would highly recommend you use virtualenvor condato isolate your tensorflow installation, especially if you want to play-test different versions and the CPU/GPU versions.
我强烈建议你使用virtualenv或conda隔离你的 tensorflow 安装，特别是如果你想测试不同的版本和 CPU/GPU 版本。
回答by ksai
I am assuming that you are using Windows, python3.5, and CPU versionof tensorflow.
我假设您使用的是Windows、python3.5和CPU 版本的 tensorflow。
let's first create conda environment.
让我们首先创建 conda 环境。
C:> conda create -n tensorflow python=3.5
C:> activate tensorflow
(tensorflow)C:> # Your prompt should change
After creating the conda environment successfully, issue the correct command to install the specific version. I will guide you through installing three different versions.
成功创建conda环境后，发出正确的命令安装特定版本。我将指导您安装三个不同的版本。
To install version r1.0
安装版本 r1.0
(tensorflow)C:> pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.0.1-cp35-cp35m-win_amd64.whl
To install version r1.3
安装版本 r1.3
(tensorflow)C:> pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.3.0rc1-cp35-cp35m-win_amd64.whl
To install masterversion
安装master版本
(tensorflow)C:> pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.2.0-cp35-cp35m-win_amd64.whl
let me know if this is what you are looking for
如果这就是您要找的，请告诉我
回答by adamconkey
I find the existing answers unsatisfying, as the OP asked specifically about Anaconda but the answers are just pip installs.
我发现现有的答案并不令人满意，因为 OP 专门询问了 Anaconda，但答案只是 pip 安装。
You can list the available versions for install doing
您可以列出安装的可用版本
conda search tensorflow-gpu
which should give you some output that looks like
这应该给你一些看起来像的输出
Loading channels: done
# Name Version Build Channel
tensorflow-gpu 1.4.1 0 pkgs/main
tensorflow-gpu 1.5.0 0 pkgs/main
tensorflow-gpu 1.6.0 0 pkgs/main
tensorflow-gpu 1.7.0 0 pkgs/main
tensorflow-gpu 1.8.0 h7b35bdc_0 pkgs/main
tensorflow-gpu 1.9.0 hf154084_0 pkgs/main
tensorflow-gpu 1.10.0 hf154084_0 pkgs/main
tensorflow-gpu 1.11.0 h0d30ee6_0 pkgs/main
tensorflow-gpu 1.12.0 h0d30ee6_0 pkgs/main
tensorflow-gpu 1.13.1 h0d30ee6_0 pkgs/main
tensorflow-gpu 1.14.0 h0d30ee6_0 pkgs/main
tensorflow-gpu 1.15.0 h0d30ee6_0 pkgs/main
tensorflow-gpu 2.0.0 h0d30ee6_0 pkgs/main
tensorflow-gpu 2.1.0 h0d30ee6_0 pkgs/main
Then you can select your version by passing it to the install command, for example:
然后你可以通过将它传递给安装命令来选择你的版本，例如：
conda install tensorflow-gpu==2.0.0
Note this will work the same for tensorflow(i.e. not the GPU version), just change the package name accordingly.
请注意，这对tensorflow（即不是 GPU 版本）同样有效，只需相应地更改包名称。
