title: How can I create a dummy model in Keras?
body: <p>I am using keras and trying to train a classifier on 64x64 images.</p>
  
  <p>I am trying to optimise my training pipeline and to catch the bottlenecks. </p>
  
  <p>To this end I'm trying to create the simpler Keras model so that I know what time the whole process (loading image, data augmentation,...) takes with a very low charge on the GPU. </p>
  
  <p>So far I managed to write: </p>
  
  <pre><code>def create_network_dummy():
    INPUT_SHAPE = (64, 64, 1)
    inputs = Input(INPUT_SHAPE)
    out = MaxPooling2D(pool_size = (1,1), strides=(64,64), 1)(inputs)
    model = Model(inputs=[inputs], outputs=[out])
    return model
  </code></pre>
  
  <p>Is it possible to have an even smaller one ? Returning a constant won't do because it breaks the graph and keras will not allow it. </p>