无法在 Mac 上升级 tensorflow [英] Not able to upgrade tensorflow on mac

问题描述

我正在运行命令来升级 tensorflow，但总是低于错误.

I am running command to upgrade tensorflow, But always getting below error.

Could not find a version that satisfies the requirement tensorflow-gpu (from versions: )

我尝试过以下命令:

pip3 install --upgrade tensorflow

pip3 install --upgrade tensorflow-gpu

推荐答案

我有一个无法找到满足XYZ要求的版本错误的清单:

您使用的 pip 指的是哪个 python 版本 - 它是正确的吗?假设您已经安装了 python3.4 和 python3.5 并使用了符号链接到 pip3.4 的 pip3 命令虽然您假设它是符号链接到 pip3.5.所以先发布:

What python version does the pip you're using refer to - is it the correct one? Imagine you have python3.4 and python3.5 installed and using pip3 command that is symlinked to pip3.4 while you assume it is symlinked to pip3.5. So issue first:

$ pip3 -V | grep -o "(.*)"

并验证是否打印了正确的 python 版本.如果不是，那么您必须找到正确的 pip 可执行文件:首先检查您是否有可用的版本特定命令(例如

and verify the correct python version is printed. If it's not, then you have to find the correct pip executable: first check if you have version-specific commands available (e.g.

$ which pip3.6

for python3.6) 并使用上面的命令验证它是否指向正确的 python 版本(例如 $ pip3.6 -V | grep -o "(.*)").如果没有特定于版本的 pip，请开始在 sys.prefix 的 bin 子目录中搜索正确的可执行文件.我机器上的例子:

for python3.6) and verify it is pointing to the correct python version with the command above (e.g. $ pip3.6 -V | grep -o "(.*)"). If there is no version-specific pip, start searching for the correct executable in the sys.prefix's bin subdirectory. Example on my machine:

$ python3.6 -c "import sys; print(sys.prefix)" | xargs -I {} find {}/bin -name pip*
/Library/Frameworks/Python.framework/Versions/3.6/bin/pip3.6
/Library/Frameworks/Python.framework/Versions/3.6/bin/pip3

平台检查

您的目标机器上的平台可能不匹配.检查pip识别的平台:

$ python3.6 -c "import pip; print(pip.pep425tags.get_platform())"

对于 10.0 以上的 pip:

For pip newer than 10.0:

$ python3.6 -c "import pip._internal as pip; print(pip.pep425tags.get_platform())"

输出应为 macosx_10_11_x86_64 或更新版本(例如 macosx_10_13_x86_64).如果您使用的是较旧的 OSX，则必须从源代码构建 TensorFlow，因为 预构建包仅适用于 MacOS 10.11 及更高版本.

The output should be macosx_10_11_x86_64 or newer (e.g. macosx_10_13_x86_64). If you have an older OSX, you will have to build TensorFlow from source because prebuilt packages exist for MacOS 10.11 and higher only.

支持的其他平台有:manylinux1_x86_64(所以所有带有 glibc>2.5 的 64 位 Linux 发行版应该都可以，没有 32 位发行版或一些像 Alpine 这样带有 musl) 和 win_amd64(64 位 Windows).

Other platforms supported are: manylinux1_x86_64 (so all the 64bit Linux distros with glibc>2.5 should do just fine, no 32bit distros or some exotic ones like Alpine with musl) and win_amd64 (64bit Windows).

一个不太常见的问题是 ABI 不匹配:您可以使用

A less common problem is the ABI mismatch: you can check your platform's ABI with

$ python3.6 -c "import pip; print(pip.pep425tags.get_abi_tag())"

对于 10.0 以上的 pip:

For pip newer than 10.0:

$ python3.6 -c "import pip._internal as pip; print(pip.pep425tags.get_abi_tag())"

目前支持的ABI标签有:cp27m、cp27mu、cp33m、cp34m、cp35m, cp36m.上面的命令应该为您打印列出的标签之一.如果没有，您将不得不从源代码构建/安装.

The supported ABI tags are currently: cp27m, cp27mu, cp33m, cp34m, cp35m, cp36m. The above command should print you one of the tags listed. If not, you will have to build/install from sources.

一种罕见的情况可能是 PyPI 索引配置错误:运行

A rare case could be a misconfigured PyPI index: run

$ pip3 install --upgrade tensorflow --verbose
Collecting tensorflow
  2 location(s) to search for versions of tensorflow:
  * https://pypi.python.org/simple/tensorflow/
  * https://my.pypi.server/base/dev/+simple/tensorflow/
...

检查 https://pypi.python.org/simple/tensorflow/ 是否在列表中.如果没有，请尝试命令

Check if https://pypi.python.org/simple/tensorflow/ is in the list. If not, try the command

$ pip3 install --upgrade tensorflow --index-url=https://pypi.python.org/simple

如果安装成功，请检查您是否设置了PIP_INDEX_URL 环境变量并清除它.如果没有，请检查文件 ~/.pip/pip.conf 是否存在，以及它是否定义了 index-url 条目.

If the installation succeeds, check if you have PIP_INDEX_URL environment variable set and clear it. If not, check if you have the file ~/.pip/pip.conf present and if it has index-url entry defined.

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