Spaces:
Runtime error
Runtime error
File size: 1,867 Bytes
5672777 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 |
# 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 semantic_segmentation."""
# pylint: disable=unused-import
from absl.testing import parameterized
import tensorflow as tf, tf_keras
from official import vision
from official.core import config_definitions as cfg
from official.core import exp_factory
from official.vision.configs import semantic_segmentation as exp_cfg
class ImageSegmentationConfigTest(tf.test.TestCase, parameterized.TestCase):
@parameterized.parameters(
('seg_deeplabv3_pascal',),
('seg_deeplabv3plus_pascal',),
('mnv2_deeplabv3plus_cityscapes',),
('mnv2_deeplabv3_cityscapes',),
('mnv2_deeplabv3_pascal',),
('seg_resnetfpn_pascal',),
)
def test_semantic_segmentation_configs(self, config_name):
config = exp_factory.get_exp_config(config_name)
self.assertIsInstance(config, cfg.ExperimentConfig)
self.assertIsInstance(config.task, exp_cfg.SemanticSegmentationTask)
self.assertIsInstance(config.task.model,
exp_cfg.SemanticSegmentationModel)
self.assertIsInstance(config.task.train_data, exp_cfg.DataConfig)
config.validate()
config.task.train_data.is_training = None
with self.assertRaises(KeyError):
config.validate()
if __name__ == '__main__':
tf.test.main()
|