Python 巴泽尔；Tensorflow:Inception v3再培训：属性错误：'；int'；对象属性'__文件&'；是只读的

我目前正在按照本教程重新培训Inception v3神经网络的顶层：

我已经建立了一个运行Ubuntu 14.04.5 LTS 64位的VirtualBox

python 2.7.6

tensorflow 1.3.0

bazel构建标签：0.5.3

但是，当我使用命令

bazel-bin/tensorflow/examples/image_retraining/retrain --image_dir /media/myImageDir

然后我的过程偏离了教程。出现两个导入错误，通过安装软件包可以轻松解决

File "/home/tensorflow/tensorflow/bazel-bin/tensorflow/examples/image_retraining/retrain.runfiles/org_tensorflow/tensorflow/python/framework/ops.py", line 28, in <module>
    from autograd import core as ag_core
ImportError: No module named autograd

File "/home/tensorflow/tensorflow/bazel-bin/tensorflow/examples/image_retraining/retrain.runfiles/org_tensorflow/tensorflow/python/ops/variable_scope.py", line 24, in <module>
    import enum  # pylint: disable=g-bad-import-order
ImportError: No module named enum

---

现在我真的不想干预这段代码，因为它不是我编写的自定义代码。我怀疑还有另一个问题，但我完全不知道它可能是什么。我希望这里有人也有类似的问题和/或能给我任何建议

我通过粗暴地修改源代码解决了这个问题

我通过粗暴地修改源代码解决了这个问题

我也遇到过这个问题，我注意到最近tensorflow中有一个关于这个问题的例子。解决方案如下：

• 卸载枚举，如果您已经安装了它：

  sudo pip remove enum

• 安装此兼容版本的enum:

  sudo apt get Install python-enum34

• 再试一次

---

我也遇到过这个问题，我注意到最近tensorflow中有一个关于这个问题的讨论。解决方案如下：

• 卸载枚举，如果您已经安装了它：

  sudo pip remove enum

• 安装此兼容版本的enum:

  sudo apt get Install python-enum34

• 再试一次

---

您似乎没有正确安装tensorflow，在尝试导入tensorflow时会出现错误。尝试重新安装tensorflow如果我在python解释器中导入tensorflow，尽管您似乎没有正确安装tensorflow，但它仍然有效，当您尝试导入tensorflow时会出现错误。尝试重新安装tensorflow如果我在python解释器中导入tensorflow，它仍然可以工作

Traceback (most recent call last):
File "/home/tensorflow/tensorflow/bazel-bin/tensorflow/examples/image_retraining/retrain.runfiles/org_tensorflow/tensorflow/examples/image_retraining/retrain.py", line 108, in <module>
import tensorflow as tf
File "/home/tensorflow/tensorflow/bazel-bin/tensorflow/examples/image_retraining/retrain.runfiles/org_tensorflow/tensorflow/__init__.py", line 24, in <module>
from tensorflow.python import *
File "/home/tensorflow/tensorflow/bazel-bin/tensorflow/examples/image_retraining/retrain.runfiles/org_tensorflow/tensorflow/python/__init__.py", line 63, in <module>
from tensorflow.python.framework.framework_lib import *
File "/home/tensorflow/tensorflow/bazel-bin/tensorflow/examples/image_retraining/retrain.runfiles/org_tensorflow/tensorflow/python/framework/framework_lib.py", line 102, in <module>
from tensorflow.python.framework.importer import import_graph_def
File "/home/tensorflow/tensorflow/bazel-bin/tensorflow/examples/image_retraining/retrain.runfiles/org_tensorflow/tensorflow/python/framework/importer.py", line 30, in <module>
from tensorflow.python.framework import function
File "/home/tensorflow/tensorflow/bazel-bin/tensorflow/examples/image_retraining/retrain.runfiles/org_tensorflow/tensorflow/python/framework/function.py", line 34, in <module>
from tensorflow.python.ops import variable_scope as vs
File "/home/tensorflow/tensorflow/bazel-bin/tensorflow/examples/image_retraining/retrain.runfiles/org_tensorflow/tensorflow/python/ops/variable_scope.py", line 191, in <module>
"""
AttributeError: 'int' object attribute '__doc__' is read-only

AUTO_REUSE.__doc__ = """
When passed in as the value for the `reuse` flag, AUTO_REUSE indicates that
get_variable() should create the requested variable if it doesn't exist or, if
it does exist, simply return it.
"""