title: Tensorflow: AttributeError: 'NoneType' object has no attribute 'original_name_scope'
body: <p>I am trying to run some python tensorflow code on a debian 9.5 stretch system on google cloud. I am Using tensorflow GPU version of this (the latest version) with the approriate CODA and cuDNN software installed. Here is my code:</p>
  
  <pre><code>     import tensorflow as tf
  
  mnist = tf.keras.datasets.mnist
  (x_train, y_train),(x_test, y_test) = mnist.load_data()
  
  
  x_train = tf.keras.utils.normalize(x_train, axis=1) # scales all values between 0 and 1 on pixel image
  x_test = tf.keras.utils.normalize(x_test, axis=1)
  
  model = tf.keras.models.Sequential()
  model.add (tf.keras.layers.Flatten()) # flattens the 28x28 pixels into long flat vector
  model.add(tf.layers.Dense(128, activation=tf.nn.relu))# builds hidden layer 128 neurons (we can tweak) and activation func - use this as default, sigmoid function
  model.add(tf.layers.Dense(128, activation=tf.nn.relu)) # second layer
  model.add(tf.layers.Dense(10, activation=tf.nn.softmax)) # output layer - number of output neurons =classes
  model.compile(optimizer='adam', loss='sparse_categorical_crossentropy', metrics = ['accuracy'])  # adam is least squares test
  
  model.fit(x_train, y_train, epochs=3)
  #model.fit(x_train, y_train, epochs=3)
  </code></pre>
  
  <p>However, I get the following error:</p>
  
  <hr>
  
  <p>AttributeError                            Traceback (most recent call last)
  &lt;</p>
  
  <pre><code>ipython-input-1-3604b3cbf07d&gt; in &lt;module&gt;
       16 model.compile(optimizer='adam', loss='sparse_categorical_crossentropy', metrics = ['accuracy'])  # adam is least squares test
       17 
  ---&gt; 18 model.fit(x_train, y_train, epochs=3)
       19 #model.fit(x_train, y_train, epochs=3)
       20 
  
  ~/Python-3.6.4/py_36_env/lib/python3.6/site-packages/tensorflow/python/keras/engine/training.py in fit(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, **kwargs)
     1507         steps_name='steps_per_epoch',
     1508         steps=steps_per_epoch,
  -&gt; 1509         validation_split=validation_split)
     1510 
     1511     # Prepare validation data.
  
  ~/Python-3.6.4/py_36_env/lib/python3.6/site-packages/tensorflow/python/keras/engine/training.py in _standardize_user_data(self, x, y, sample_weight, class_weight, batch_size, check_steps, steps_name, steps, validation_split)
      991       x, y = next_element
      992     x, y, sample_weights = self._standardize_weights(x, y, sample_weight,
  --&gt; 993                                                      class_weight, batch_size)
      994     return x, y, sample_weights
      995 
  
  ~/Python-3.6.4/py_36_env/lib/python3.6/site-packages/tensorflow/python/keras/engine/training.py in _standardize_weights(self, x, y, sample_weight, class_weight, batch_size)
     1027       if not self.inputs:
     1028         is_build_called = True
  -&gt; 1029         self._set_inputs(x)
     1030 
     1031     if y is not None:
  
  ~/Python-3.6.4/py_36_env/lib/python3.6/site-packages/tensorflow/python/training/checkpointable/base.py in _method_wrapper(self, *args, **kwargs)
      424     self._setattr_tracking = False  # pylint: disable=protected-access
      425     try:
  --&gt; 426       method(self, *args, **kwargs)
      427     finally:
      428       self._setattr_tracking = previous_value  # pylint: disable=protected-access
  
  ~/Python-3.6.4/py_36_env/lib/python3.6/site-packages/tensorflow/python/keras/engine/training.py in _set_inputs(self, inputs, training)
     1220       else:
     1221         input_shape = (None,) + inputs.shape[1:]
  -&gt; 1222         self.build(input_shape=input_shape)
     1223     if context.executing_eagerly():
     1224       self._eager_set_inputs(inputs)
  
  ~/Python-3.6.4/py_36_env/lib/python3.6/site-packages/tensorflow/python/keras/engine/sequential.py in build(self, input_shape)
      219       for layer in self.layers:
      220         if not layer.built:
  --&gt; 221           with ops.name_scope(layer._name_scope()):
      222             layer.build(shape)
      223           layer.built = True
  
  ~/Python-3.6.4/py_36_env/lib/python3.6/site-packages/tensorflow/python/layers/base.py in _name_scope(self)
      139   def _name_scope(self):
      140     """Determines op naming for the Layer."""
  --&gt; 141     return self._current_scope.original_name_scope
      142 
      143   def _set_scope(self, scope=None):
  
  AttributeError: 'NoneType' object has no attribute 'original_name_scope'
  </code></pre>
  
  <p>This code works fine on my laptop using the CPU version of tensorflow, however I am getting this error on the virtual machine. Any ideas?</p>