Internal change

PiperOrigin-RevId: 369741002

official/vision/beta/projects/assemblenet/train_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
+import json
+import os
+import random
+
+from absl import flags
+from absl import logging
+from absl.testing import flagsaver
+import tensorflow as tf
+
+from official.vision.beta.dataloaders import tfexample_utils
+from official.vision.beta.projects.assemblenet import train as train_lib
+
+FLAGS = flags.FLAGS
+
+
+class TrainTest(tf.test.TestCase):
+
+  def setUp(self):
+    super(TrainTest, self).setUp()
+    self._model_dir = os.path.join(self.get_temp_dir(), 'model_dir')
+    tf.io.gfile.makedirs(self._model_dir)
+
+    data_dir = os.path.join(self.get_temp_dir(), 'data')
+    tf.io.gfile.makedirs(data_dir)
+    self._data_path = os.path.join(data_dir, 'data.tfrecord')
+    # pylint: disable=g-complex-comprehension
+    examples = [
+        tfexample_utils.make_video_test_example(
+            image_shape=(36, 36, 3),
+            audio_shape=(20, 128),
+            label=random.randint(0, 100)) for _ in range(2)
+    ]
+    # pylint: enable=g-complex-comprehension
+    tfexample_utils.dump_to_tfrecord(self._data_path, tf_examples=examples)
+
+  def test_run(self):
+    saved_flag_values = flagsaver.save_flag_values()
+    train_lib.tfm_flags.define_flags()
+    FLAGS.mode = 'train'
+    FLAGS.model_dir = self._model_dir
+    FLAGS.experiment = 'assemblenet50_kinetics600'
+    logging.info('Test pipeline correctness.')
+    num_frames = 4
+
+    params_override = json.dumps({
+        'trainer': {
+            'train_steps': 1,
+            'validation_steps': 1,
+        },
+        'task': {
+            'model': {
+                'backbone': {
+                    'assemblenet': {
+                        'model_id': '26',
+                        'num_frames': num_frames,
+                    },
+                },
+            },
+            'train_data': {
+                'input_path': self._data_path,
+                'file_type': 'tfrecord',
+                'feature_shape': [num_frames, 32, 32, 3],
+                'global_batch_size': 2,
+            },
+            'validation_data': {
+                'input_path': self._data_path,
+                'file_type': 'tfrecord',
+                'global_batch_size': 2,
+                'feature_shape': [num_frames * 2, 32, 32, 3],
+            }
+        }
+    })
+    FLAGS.params_override = params_override
+
+    train_lib.main('unused_args')
+
+    FLAGS.mode = 'eval'
+
+    with train_lib.gin.unlock_config():
+      train_lib.main('unused_args')
+
+    flagsaver.restore_flag_values(saved_flag_values)
+
+
+if __name__ == '__main__':
+  tf.test.main()