message: eager: Fix dropout in MNIST example.
  The dropout layer takes a training argument in __call__, which defaults
  to false. So without this change, dropout was not being applied.
diff: @@ -95,8 +95,7 @@ class MNISTModel(tfe.Network):
  x = self.max_pool2d(x)
  x = tf.layers.flatten(x)
  x = self.fc1(x)
  - if training:
  - x = self.dropout(x)
  + x = self.dropout(x, training=training)
  x = self.fc2(x)
  return x
  