Revert "added tests for `InstanceCenterHead`"

This reverts commit a6a14de7.

official/vision/beta/projects/panoptic_maskrcnn/modeling/heads/instance_center_head_test.py

-# Copyright 2021 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.
-
-# Lint as: python3
-"""Tests for segmentation_heads.py."""
-
-# Import libraries
-from absl.testing import parameterized
-import numpy as np
-import tensorflow as tf
-
-from official.vision.beta.projects.panoptic_maskrcnn.modeling.heads import instance_center_head
-
-
-class InstanceCenterHeadTest(parameterized.TestCase, tf.test.TestCase):
-
-  @parameterized.parameters(
-      (2, 'pyramid_fusion', None, None, 2, 48),
-      (3, 'pyramid_fusion', None, None, 2, 48),
-      (2, 'panoptic_fpn_fusion', 2, 5, 2, 48),
-      (2, 'panoptic_fpn_fusion', 2, 6, 2, 48),
-      (3, 'panoptic_fpn_fusion', 3, 5, 2, 48),
-      (3, 'panoptic_fpn_fusion', 3, 6, 2, 48),
-      (4, 'panoptic_deeplab_fusion', None, None, (4, 3), (64, 32)),
-      (4, 'panoptic_deeplab_fusion', None, None, (3, 2), (64, 32)))
-  def test_forward(self, level, feature_fusion,
-                   decoder_min_level, decoder_max_level,
-                   low_level, low_level_num_filters):
-    backbone_features = {
-        '3': np.random.rand(2, 128, 128, 16),
-        '4': np.random.rand(2, 64, 64, 16),
-        '5': np.random.rand(2, 32, 32, 16),
-    }
-    decoder_features = {
-        '3': np.random.rand(2, 128, 128, 64),
-        '4': np.random.rand(2, 64, 64, 64),
-        '5': np.random.rand(2, 32, 32, 64),
-        '6': np.random.rand(2, 16, 16, 64),
-    }
-
-    if 'panoptic' in feature_fusion:
-      backbone_features['2'] = np.random.rand(2, 256, 256, 16)
-      decoder_features['2'] = np.random.rand(2, 256, 256, 64)
-
-    head = instance_center_head.InstanceCenterHead(
-        level=level,
-        low_level=low_level,
-        low_level_num_filters=low_level_num_filters,
-        feature_fusion=feature_fusion,
-        decoder_min_level=decoder_min_level,
-        decoder_max_level=decoder_max_level,
-        num_decoder_filters=64)
-
-    outputs = head((backbone_features, decoder_features))
-
-    if str(level) in decoder_features:
-      if feature_fusion == 'panoptic_deeplab_fusion':
-        h, w = decoder_features[str(low_level[-1])].shape[1:3]
-      else:
-        h, w = decoder_features[str(level)].shape[1:3]
-      self.assertAllEqual(
-          outputs['instance_center_prediction'].numpy().shape,
-          [2, h, w, 1])
-      self.assertAllEqual(
-          outputs['instance_center_regression'].numpy().shape,
-          [2, h, w, 2])
-
-
-  def test_serialize_deserialize(self):
-    head = instance_center_head.InstanceCenterHead(level=3)
-    config = head.get_config()
-    new_head = instance_center_head.InstanceCenterHead.from_config(config)
-    self.assertAllEqual(head.get_config(), new_head.get_config())
-
-if __name__ == '__main__':
-  tf.test.main()