code: def get_inference_input():
      
      return (tf.placeholder(tf.float32,
                             [None, go.N, go.N, features_lib.NEW_FEATURES_PLANES],
                             name='pos_tensor'),
              {'pi_tensor': tf.placeholder(tf.float32, [None, go.N * go.N + 1]),
               'value_tensor': tf.placeholder(tf.float32, [None])})
docs: Set up placeholders for input features/labels.
  
      Returns the feature, output tensors that get passed into model_fn.