安装后Tensorflow`语法错误:pywrap_tensorflow` [英] Tensorflow `Syntax Error: pywrap_tensorflow` After Install

问题描述

我已经设置了virtualenv并通过 sudo pip3 install使用pip安装了tensorflow --upgrade https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.10.0-py3-none-any.whl .

I've setup a virtualenv and using pip installed tensorflow via sudo pip3 install --upgrade https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.10.0-py3-none-any.whl.

但是，当我打开python shell测试安装时，出现以下错误:

However, when I open a python shell to test the install I get the following error:

Python 3.7.0 (v3.7.0:1bf9cc5093, Jun 26 2018, 23:26:24)
[Clang 6.0 (clang-600.0.57)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Users/joshuablew/Projects/Environments/proj1/lib/python3.7/site-packages/tensorflow/__init__.py", line 22, in <module>
    from tensorflow.python import pywrap_tensorflow  # pylint: disable=unused-import
  File "/Users/joshuablew/Projects/Environments/proj1/lib/python3.7/site-packages/tensorflow/python/__init__.py", line 49, in <module>
    from tensorflow.python import pywrap_tensorflow
  File "/Users/joshuablew/Projects/Environments/proj1/lib/python3.7/site-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>
    from tensorflow.python.pywrap_tensorflow_internal import *
  File "/Users/joshuablew/Projects/Environments/proj1/lib/python3.7/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 114
    def TFE_ContextOptionsSetAsync(arg1, async):
                                             ^
SyntaxError: invalid syntax

我已经搜索了一下，但是找不到一个简单的解决方案.有任何想法吗?谢谢！

I've searched around but can't find a straightforward solution to this. Any ideas? Thanks!

推荐答案

async 是Python 3(

async is a reserved keyword in Python 3 (here's the full list).

看起来您并不是唯一一个遇到此问题的人， tensorflow github问题跟踪器上有一个活动线程可以解决这个问题，该事件可以追溯到7月: https://github.com/tensorflow/tensorflow/issues/20517

Look like you aren't the only one running into this problem, there's an active thread on the tensorflow github issue tracker addressing it that dates back to July: https://github.com/tensorflow/tensorflow/issues/20517

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