text: # Copyright 2022 The TensorFlow Authors. All Rights Reserved.
  #
  # 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.
  
  """Tests for target_gather.py."""
  
  import tensorflow as tf
  
  from official.vision.beta.ops import target_gather
  
  
  class TargetGatherTest(tf.test.TestCase):
  
    def test_target_gather_batched(self):
      gt_boxes = tf.constant(
          [[
              [0, 0, 5, 5],
              [0, 5, 5, 10],
              [5, 0, 10, 5],
              [5, 5, 10, 10],
          ]],
          dtype=tf.float32)
      gt_classes = tf.constant([[[2], [10], [3], [-1]]], dtype=tf.int32)
  
      labeler = target_gather.TargetGather()
  
      match_indices = tf.constant([[0, 2]], dtype=tf.int32)
      match_indicators = tf.constant([[-2, 1]])
      mask = tf.less_equal(match_indicators, 0)
      cls_mask = tf.expand_dims(mask, -1)
      matched_gt_classes = labeler(gt_classes, match_indices, cls_mask)
      box_mask = tf.tile(cls_mask, [1, 1, 4])
      matched_gt_boxes = labeler(gt_boxes, match_indices, box_mask)
  
      self.assertAllEqual(
          matched_gt_classes.numpy(), [[[0], [3]]])
      self.assertAllClose(
          matched_gt_boxes.numpy(), [[[0, 0, 0, 0], [5, 0, 10, 5]]])
  
    def test_target_gather_unbatched(self):
      gt_boxes = tf.constant(
          [
              [0, 0, 5, 5],
              [0, 5, 5, 10],
              [5, 0, 10, 5],
              [5, 5, 10, 10],
          ],
          dtype=tf.float32)
      gt_classes = tf.constant([[2], [10], [3], [-1]], dtype=tf.int32)
  
      labeler = target_gather.TargetGather()
  
      match_indices = tf.constant([0, 2], dtype=tf.int32)
      match_indicators = tf.constant([-2, 1])
      mask = tf.less_equal(match_indicators, 0)
      cls_mask = tf.expand_dims(mask, -1)
      matched_gt_classes = labeler(gt_classes, match_indices, cls_mask)
      box_mask = tf.tile(cls_mask, [1, 4])
      matched_gt_boxes = labeler(gt_boxes, match_indices, box_mask)
  
      self.assertAllEqual(
          matched_gt_classes.numpy(), [[0], [3]])
      self.assertAllClose(
          matched_gt_boxes.numpy(), [[0, 0, 0, 0], [5, 0, 10, 5]])
  
  if __name__ == '__main__':
    tf.test.main()
  