text: # coding=utf-8
  # Copyright 2021 The Deeplab2 Authors.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  
  """This file contains utility functions for the model tests."""
  import numpy as np
  import tensorflow as tf
  
  
  def create_test_input(batch, height, width, channels):
    """Creates test input tensor."""
    input_tensor = np.tile(
        np.reshape(
            np.reshape(np.arange(height), [height, 1]) +
            np.reshape(np.arange(width), [1, width]),
            [1, height, width, 1]),
        [batch, 1, 1, channels])
    # Normalize the input tensor so that the outputs are not too large.
    input_tensor = (input_tensor * 2 / np.max(input_tensor)) - 1
    return tf.cast(input_tensor, tf.float32)
  