ASL-MoViNet-T5-translator / official /core /file_writers_test.py
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# Copyright 2023 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 file_writers."""
import os
from absl.testing import parameterized
import tensorflow as tf, tf_keras
from official.core import file_writers
from official.core import tf_example_builder
class FileWritersTest(tf.test.TestCase, parameterized.TestCase):
def setUp(self):
super().setUp()
example_builder = tf_example_builder.TfExampleBuilder()
example_builder.add_bytes_feature('foo', 'Hello World!')
self._example = example_builder.example
@parameterized.parameters('tfrecord', 'TFRecord', 'tfrecords',
'tfrecord_compressed', 'TFRecord_Compressed',
'tfrecords_gzip')
def test_write_small_dataset_success(self, file_type):
temp_dir = self.create_tempdir()
temp_dataset_file = os.path.join(temp_dir.full_path, 'train')
file_writers.write_small_dataset([self._example], temp_dataset_file,
file_type)
self.assertTrue(os.path.exists(temp_dataset_file))
def test_write_small_dataset_unrecognized_format(self):
file_type = 'bar'
temp_dir = self.create_tempdir()
temp_dataset_file = os.path.join(temp_dir.full_path, 'train')
with self.assertRaises(ValueError):
file_writers.write_small_dataset([self._example], temp_dataset_file,
file_type)
if __name__ == '__main__':
tf.test.main()