code: def eucl_dist_output_shape(shapes):
      shape1, shape2 = shapes
      return (shape1[0], 1)
  
file_path: hyperas/examples/hyperas_in_intermediate_fns.py
imports: import numpy
  import random
  from keras.datasets import mnist
  from keras.models import Model
  from keras.layers import Input, Flatten, Dense, Dropout, Lambda
  from keras.optimizers import RMSprop
  from keras import backend
  from hyperopt import Trials, STATUS_OK, tpe
  from hyperas import optim
  from hyperas.distributions import choice, uniform
label_desc: Use image node_id 2 for calling a global function with example usage: eucl_dist_output_shape(shapes) and returns: shape1,  int