为什么我在Jupyter中使用TensorFlow遇到问题？

Question

我的Jupyter笔记本运行一段时间以来我的Python代码一直很好。 但是，我最近通过深度学习吸引了对样式转换的兴趣。 我获得的练习代码要求我将TensorFlow降级到较低版本。 幸运的是，此方法有效，但不幸的是，我几个月来开发的所有其他代码（需要TensorFlow后端）都停止了工作。 我尝试使用JupyterLab，有时，它们在大多数情况下都可以正常工作，但我得到的错误与Jupyter笔记本电脑相同。 现在，唯一的解决方法是将我的代码移至Spyder（这很令人沮丧）。 每次运行代码时，都会出现以下错误：

AttributeError                            Traceback (most recent call last)
<ipython-input-2-6d5587dfcc0c> in <module>
  1 # import all libraries
----> 2 import keras
  3 from keras.models import Sequential
  4 from keras.layers import Dense, Activation, Dropout
  5 from keras.layers.convolutional import Conv1D

~\Miniconda3\envs\tensorflow\lib\site-packages\keras\__init__.py in <module>
  1 from __future__ import absolute_import
  2 
----> 3 from . import utils
  4 from . import activations
  5 from . import applications

~\Miniconda3\envs\tensorflow\lib\site-packages\keras\utils\__init__.py in <module>
  4 from . import data_utils
  5 from . import io_utils
----> 6 from . import conv_utils
  7 
  8 # Globally-importable utils.

~\Miniconda3\envs\tensorflow\lib\site-packages\keras\utils\conv_utils.py in <module>
  7 from six.moves import range
  8 import numpy as np
----> 9 from .. import backend as K
 10 
 11 

~\Miniconda3\envs\tensorflow\lib\site-packages\keras\backend\__init__.py in <module>
 87 elif _BACKEND == 'tensorflow':
 88     sys.stderr.write('Using TensorFlow backend.\n')
---> 89     from .tensorflow_backend import *
 90 else:
 91     # Try and load external backend.

~\Miniconda3\envs\tensorflow\lib\site-packages\keras\backend\tensorflow_backend.py in <module>
  3 from __future__ import print_function
  4 
----> 5 import tensorflow as tf
  6 from tensorflow.python.framework import ops as tf_ops
  7 from tensorflow.python.training import moving_averages

~\Miniconda3\envs\tensorflow\lib\site-packages\tensorflow\__init__.py in <module>
 22 
 23 # pylint: disable=g-bad-import-order
---> 24 from tensorflow.python import pywrap_tensorflow  # pylint: disable=unused-import
 25 
 26 try:

~\Miniconda3\envs\tensorflow\lib\site-packages\tensorflow\python\__init__.py in <module>
 86 # Bring in subpackages.
 87 from tensorflow.python import data
---> 88 from tensorflow.python import keras
 89 from tensorflow.python.feature_column import feature_column_lib as feature_column
 90 from tensorflow.python.layers import layers

~\Miniconda3\envs\tensorflow\lib\site-packages\tensorflow\python\keras\__init__.py in <module>
 23 
 24 from tensorflow.python.keras import activations
---> 25 from tensorflow.python.keras import applications
 26 from tensorflow.python.keras import backend
 27 from tensorflow.python.keras import callbacks

~\Miniconda3\envs\tensorflow\lib\site-packages\tensorflow\python\keras\applications\__init__.py in 
<module>
 23 
 24 from tensorflow.python.keras import backend
---> 25 from tensorflow.python.keras import engine
 26 from tensorflow.python.keras import layers
 27 from tensorflow.python.keras import models

 ~\Miniconda3\envs\tensorflow\lib\site-packages\tensorflow\python\keras\engine\__init__.py in 
 <module>
 21 # TODO(fchollet): Remove hourglass imports once external code is done importing
 22 # non-public APIs.
---> 23 from tensorflow.python.keras.engine.base_layer import InputSpec
 24 from tensorflow.python.keras.engine.base_layer import Layer
 25 from tensorflow.python.keras.engine.input_layer import Input

 ~\Miniconda3\envs\tensorflow\lib\site-packages\tensorflow\python\keras\engine\base_layer.py in 
 <module>
 37 from tensorflow.python.keras import initializers
 38 from tensorflow.python.keras import regularizers
---> 39 from tensorflow.python.keras.utils import generic_utils
 40 from tensorflow.python.keras.utils import tf_utils
 41 # A module that only depends on `keras.layers` import these from here.

~\Miniconda3\envs\tensorflow\lib\site-packages\tensorflow\python\keras\utils\__init__.py in <module>
 30 from tensorflow.python.keras.utils.generic_utils import Progbar
 31 from tensorflow.python.keras.utils.generic_utils import serialize_keras_object
---> 32 from tensorflow.python.keras.utils.io_utils import HDF5Matrix
 33 from tensorflow.python.keras.utils.layer_utils import convert_all_kernels_in_model
 34 from tensorflow.python.keras.utils.layer_utils import get_source_inputs

~\Miniconda3\envs\tensorflow\lib\site-packages\tensorflow\python\keras\utils\io_utils.py in <module>
 27 
 28 try:
---> 29   import h5py
 30 except ImportError:
 31   h5py = None

~\Miniconda3\envs\tensorflow\lib\site-packages\h5py\__init__.py in <module>
 32         raise
 33 
---> 34 from . import version
 35 
 36 if version.hdf5_version_tuple != version.hdf5_built_version_tuple:

~\Miniconda3\envs\tensorflow\lib\site-packages\h5py\version.py in <module>
 15 
 16 from collections import namedtuple
---> 17 from . import h5 as _h5
 18 import sys
 19 import numpy

h5py\h5.pyx in init h5py.h5()

AttributeError: type object 'h5py.h5.H5PYConfig' has no attribute '__reduce_cython__'

如何纠正这种情况？ 非常感谢您的建议。