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# Copyright 2017 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 object_detection.utils.static_shape."""
import tensorflow as tf
from object_detection.utils import static_shape
class StaticShapeTest(tf.test.TestCase):
def test_return_correct_batchSize(self):
tensor_shape = tf.TensorShape(dims=[32, 299, 384, 3])
self.assertEqual(32, static_shape.get_batch_size(tensor_shape))
def test_return_correct_height(self):
tensor_shape = tf.TensorShape(dims=[32, 299, 384, 3])
self.assertEqual(299, static_shape.get_height(tensor_shape))
def test_return_correct_width(self):
tensor_shape = tf.TensorShape(dims=[32, 299, 384, 3])
self.assertEqual(384, static_shape.get_width(tensor_shape))
def test_return_correct_depth(self):
tensor_shape = tf.TensorShape(dims=[32, 299, 384, 3])
self.assertEqual(3, static_shape.get_depth(tensor_shape))
def test_die_on_tensor_shape_with_rank_three(self):
tensor_shape = tf.TensorShape(dims=[32, 299, 384])
with self.assertRaises(ValueError):
static_shape.get_batch_size(tensor_shape)
static_shape.get_height(tensor_shape)
static_shape.get_width(tensor_shape)
static_shape.get_depth(tensor_shape)
if __name__ == '__main__':
tf.test.main()
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