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- # Copyright 2021 Google Research. 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 datasets."""
- import tensorflow as tf
- import datasets
-
-
- class ImagenetInputTest(tf.test.TestCase):
-
- def test_imagenet(self):
- ds_class = datasets.get_dataset_class('imagenet')
- ds = ds_class(
- is_training=False,
- data_dir='null',
- cache=False,
- image_size=224,
- image_dtype=None,
- augname=None,
- mixup_alpha=0,
- ra_num_layers=2,
- ra_magnitude=20)
- params = {'batch_size': 2}
- for _, labels in ds.input_fn(params):
- label = labels['label']
- self.assertAllClose(label[:, 0:4], [[0, 0, 0, 0], [0, 0, 0, 0]])
- break
-
- def test_imagenet21k(self):
- ds_class = datasets.get_dataset_class('imagenet21k')
- ds = ds_class(
- is_training=False,
- data_dir='null',
- cache=False,
- image_size=224,
- image_dtype=None,
- augname=None,
- mixup_alpha=0,
- ra_num_layers=2,
- ra_magnitude=20)
- params = {'batch_size': 2}
- for _, labels in ds.input_fn(params):
- label = labels['label']
- self.assertAllClose(label[:, 0:4], [[0, 0, 1, 1], [0, 0, 1, 1]])
- break
-
-
- class DatasetConfigTest(tf.test.TestCase):
-
- def test_dataset_config(self):
- cfg = datasets.get_dataset_config('cifar10ft')
- self.assertEqual(cfg.data.ds_name, 'cifar10')
-
-
- if __name__ == '__main__':
- tf.test.main()
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