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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 Model Helper functions."""
import tensorflow as tf, tf_keras # pylint: disable=g-bad-import-order
from official.utils.misc import model_helpers
class PastStopThresholdTest(tf.test.TestCase):
"""Tests for past_stop_threshold."""
def setUp(self):
super(PastStopThresholdTest, self).setUp()
tf.compat.v1.disable_eager_execution()
def test_past_stop_threshold(self):
"""Tests for normal operating conditions."""
self.assertTrue(model_helpers.past_stop_threshold(0.54, 1))
self.assertTrue(model_helpers.past_stop_threshold(54, 100))
self.assertFalse(model_helpers.past_stop_threshold(0.54, 0.1))
self.assertFalse(model_helpers.past_stop_threshold(-0.54, -1.5))
self.assertTrue(model_helpers.past_stop_threshold(-0.54, 0))
self.assertTrue(model_helpers.past_stop_threshold(0, 0))
self.assertTrue(model_helpers.past_stop_threshold(0.54, 0.54))
def test_past_stop_threshold_none_false(self):
"""Tests that check None returns false."""
self.assertFalse(model_helpers.past_stop_threshold(None, -1.5))
self.assertFalse(model_helpers.past_stop_threshold(None, None))
self.assertFalse(model_helpers.past_stop_threshold(None, 1.5))
# Zero should be okay, though.
self.assertTrue(model_helpers.past_stop_threshold(0, 1.5))
def test_past_stop_threshold_not_number(self):
"""Tests for error conditions."""
with self.assertRaises(ValueError):
model_helpers.past_stop_threshold('str', 1)
with self.assertRaises(ValueError):
model_helpers.past_stop_threshold('str', tf.constant(5))
with self.assertRaises(ValueError):
model_helpers.past_stop_threshold('str', 'another')
with self.assertRaises(ValueError):
model_helpers.past_stop_threshold(0, None)
with self.assertRaises(ValueError):
model_helpers.past_stop_threshold(0.7, 'str')
with self.assertRaises(ValueError):
model_helpers.past_stop_threshold(tf.constant(4), None)
class SyntheticDataTest(tf.test.TestCase):
"""Tests for generate_synthetic_data."""
def test_generate_synethetic_data(self):
input_element, label_element = tf.compat.v1.data.make_one_shot_iterator(
model_helpers.generate_synthetic_data(
input_shape=tf.TensorShape([5]),
input_value=123,
input_dtype=tf.float32,
label_shape=tf.TensorShape([]),
label_value=456,
label_dtype=tf.int32)).get_next()
with self.session() as sess:
for n in range(5):
inp, lab = sess.run((input_element, label_element))
self.assertAllClose(inp, [123., 123., 123., 123., 123.])
self.assertEquals(lab, 456)
def test_generate_only_input_data(self):
d = model_helpers.generate_synthetic_data(
input_shape=tf.TensorShape([4]),
input_value=43.5,
input_dtype=tf.float32)
element = tf.compat.v1.data.make_one_shot_iterator(d).get_next()
self.assertFalse(isinstance(element, tuple))
with self.session() as sess:
inp = sess.run(element)
self.assertAllClose(inp, [43.5, 43.5, 43.5, 43.5])
def test_generate_nested_data(self):
d = model_helpers.generate_synthetic_data(
input_shape={
'a': tf.TensorShape([2]),
'b': {
'c': tf.TensorShape([3]),
'd': tf.TensorShape([])
}
},
input_value=1.1)
element = tf.compat.v1.data.make_one_shot_iterator(d).get_next()
self.assertIn('a', element)
self.assertIn('b', element)
self.assertEquals(len(element['b']), 2)
self.assertIn('c', element['b'])
self.assertIn('d', element['b'])
self.assertNotIn('c', element)
with self.session() as sess:
inp = sess.run(element)
self.assertAllClose(inp['a'], [1.1, 1.1])
self.assertAllClose(inp['b']['c'], [1.1, 1.1, 1.1])
self.assertAllClose(inp['b']['d'], 1.1)
if __name__ == '__main__':
tf.test.main()
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