title: AttributeError: module 'tensorflow.python.keras.api._v2.keras.backend' has no attribute 'set_image_dim_ordering'
body: <p>Recently, I tried to use python to run a code in github. The code is located in: <a href="https://github.com/costapt/vess2ret" rel="nofollow noreferrer">https://github.com/costapt/vess2ret</a>
  and I used the following softwares</p>
  
  <p>TensorFlow-gpu-2.0-beta1
  Keras :2.2.4
  OS:Windows 10
  python:3.5
  CUDA:10.0
  cuDNN:10.0</p>
  
  <p>And I met the same problem already showed by some guys online. That is:
  AttributeError: module 'tensorflow' has no attribute 'get_default_graph'
  After I tried to change the code as the following</p>
  
  <p>from keras import backend</p>
  
  <p>change to:</p>
  
  <p>from tensorflow.keras import backend</p>
  
  <p>I met another problem. That is：
  AttributeError: module 'tensorflow.python.keras.api._v2.keras.backend' has no attribute 'set_image_dim_ordering'</p>
  
  <p>And I don't know what to do now</p>
  
  <pre><code>#Here are some codes which are related to the problem above.
  
  import os
  import keras
  from tensorflow.keras import backend as K
  from keras import objectives
  from keras.layers import Input, merge
  from keras.layers.advanced_activations import LeakyReLU
  from keras.layers.convolutional import Convolution2D, Deconvolution2D
  from keras.layers.core import Activation, Dropout
  from keras.layers.normalization import BatchNormalization
  from keras.models import Model
  from keras.optimizers import Adam
  
  KERAS_2 = keras.__version__[0] == '2'
  try:
      # keras 2 imports
      from keras.layers.convolutional import Conv2DTranspose
      from keras.layers.merge import Concatenate
  except ImportError:
      print("keras 2 layers could not be imported defaulting to keras1")
      KERAS_2 = False
  
  K.set_image_dim_ordering('th') #here is where the problem occurs at
  
  #The first problem.
  Traceback (most recent call last):
    File "C:\zzProject_ML\vess2ret-master\train.py", line 326, in &lt;module&gt;
      batch_size=params.batch_size, is_binary=params.is_b_binary)
    File "C:\zzProject_ML\vess2ret-master\models.py", line 378, in g_unet
      i = Input(shape=(in_ch, 512, 512))
    File "C:\Users\10580\Anaconda3\envs\project_ML\lib\site-packages\keras\engine\input_layer.py", line 178, in Input
      input_tensor=tensor)
    File "C:\Users\10580\Anaconda3\envs\project_ML\lib\site-packages\keras\legacy\interfaces.py", line 91, in wrapper
      return func(*args, **kwargs)
    File "C:\Users\10580\Anaconda3\envs\project_ML\lib\site-packages\keras\engine\input_layer.py", line 39, in __init__
      name = prefix + '_' + str(K.get_uid(prefix))
    File "C:\Users\10580\Anaconda3\envs\project_ML\lib\site-packages\keras\backend\tensorflow_backend.py", line 74, in get_uid
      graph = tf.get_default_graph()
  AttributeError: module 'tensorflow' has no attribute 'get_default_graph'
  
  #The second problem.
  Using TensorFlow backend.
  Traceback (most recent call last):
    File "C:\zzProject_ML\vess2ret-master\train.py", line 7, in &lt;module&gt;
      import models as m
    File "C:\zzProject_ML\vess2ret-master\models.py", line 25, in &lt;module&gt;
      K.set_image_dim_ordering('th')
  AttributeError: module 'tensorflow.python.keras.api._v2.keras.backend' has no attribute 'set_image_dim_ordering'
  </code></pre>