code: def merge_leading_dims(X, target_rank):
      if len(X.get_shape().as_list()) == target_rank:
          return X
      shape = [-1] + X.get_shape().as_list()[1 - target_rank :]
      return tf.reshape(X, shape)
  
imports: import tensorflow
label_desc: Use image node_id 3 for calling a global function with example usage: merge_leading_dims(X, target_rank) and returns: tf, X