tensorflow后端错误. AttributeError:模块"tensorflow"没有属性"name_scope" [英] tensorflow backend error. AttributeError: module 'tensorflow' has no attribute 'name_scope'

问题描述

我正在使用版本:TensorFlow的2.1.0和keras的2.3.1.导入任何模块的keras时，我都在tensorflow后端错误下面.

I'm using Version: 2.1.0 of TensorFlow and 2.3.1 of keras. While importing any module of keras i'm facing below tensorflow back-end error.

import pandas as pd, numpy as np, os, re, json, math, time 
from keras.models import Sequential 
from keras.layers import Dense 
from keras.wrappers.scikit_learn import KerasRegressor
from sklearn.model_selection import cross_val_score 
from sklearn.model_selection import KFold 
from sklearn.preprocessing import StandardScaler
from sklearn.pipeline import Pipeline 
from sklearn.model_selection import train_test_split 

---------------------------------------------------------------------------

AttributeError                            Traceback (most recent call last) <ipython-input-82-2f712055860b> in <module>
      1 import pandas as pd, numpy as np, os, re, json, math, time
----> 2 from keras.models import Sequential
      3 from keras.layers import Dense
      4 from keras.wrappers.scikit_learn import KerasRegressor
      5 from sklearn.model_selection import cross_val_score

~\Anaconda3\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

~\Anaconda3\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 from . import losses_utils
      8 from . import metrics_utils

~\Anaconda3\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 

~\Anaconda3\lib\site-packages\keras\backend\__init__.py in <module>
----> 1 from .load_backend import epsilon
      2 from .load_backend import set_epsilon
      3 from .load_backend import floatx
      4 from .load_backend import set_floatx
      5 from .load_backend import cast_to_floatx

~\Anaconda3\lib\site-packages\keras\backend\load_backend.py in <module>
     88 elif _BACKEND == 'tensorflow':
     89     sys.stderr.write('Using TensorFlow backend.\n')
---> 90     from .tensorflow_backend import *
     91 else:
     92     # Try and load external backend.

~\Anaconda3\lib\site-packages\keras\backend\tensorflow_backend.py in <module>
     54 get_graph = tf_keras_backend.get_graph
     55 # learning_phase_scope = tf_keras_backend.learning_phase_scope  # TODO
---> 56 name_scope = tf.name_scope
     57 
     58 

> AttributeError: module 'tensorflow' has no attribute 'name_scope'

期待快速解决.

推荐答案

我建议您切换到使用TensorFlow中的keras模块.

I recommend that you switch to using the keras module inside TensorFlow.

维护得更好，不会出现不兼容的问题.

It is better maintained and you will not have incompatibility issues.

根据弗朗索瓦·乔勒(Francois Chollet):

According to Francois Chollet:

Keras 2.3.0版在这里，它是最后一个主要的多后端 释放.今后，建议用户切换其代码 转到TensorFlow 2.0中的tf.keras.此版本带来了API更改 以及一些重大变化.看看引擎盖下，看看它是什么 内容以及计划的进展.

Keras version 2.3.0 is here, and it is the last major multi-backend release. Going forward, users are recommended to switch their code over to tf.keras in TensorFlow 2.0. This release brings API changes and a few breaking changes. Have a look under the hood and see what it includes, as well as what the plans are going forward.

切换所有导入，而不是

from keras.models import Sequential 
from keras.layers import Dense 

到

from tensorflow.keras.models import Sequential 
from tensorflow.keras.layers import Dense 

将解决您所有的不兼容问题.

will solve all your incompatibility issues.

由于默认情况下TensorFlow中已包含Keras，因此可以将其作为单独的软件包完全卸载.

You can uninstall Keras altogether as a separate package since it is already included by default in TensorFlow.

观察:如果PyCharm无法识别tensorflow.keras，则需要将PyCharm更新为最新版本> = 2019.3.仅从该版本开始，PyCharm中会相应地识别TensorFlow 2.0.请查阅下面的答案以获取更多信息:

OBSERVATION: If PyCharm does not recognise tensorflow.keras, you will need to update PyCharm to the latest version >=2019.3. Only starting with that version is TensorFlow 2.0 recognised accordingly in PyCharm. Please consult the answer below for more information:

无法在PyCharm中导入Keras(从TensorFlow 2.0)

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