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deeplab2 / model /layers /squeeze_and_excite_test.py

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	# coding=utf-8
	# Copyright 2021 The Deeplab2 Authors.
	#
	# 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 squeeze_and_excite.py."""

	import tensorflow as tf

	from deeplab2.model.layers import squeeze_and_excite


	class SqueezeAndExciteTest(tf.test.TestCase):

	def test_simpliefied_squeeze_and_excite_input_output_shape(self):
	# Test the shape of input and output of SimplifiedSqueezeAndExcite.
	channels = 32
	input_tensor = tf.random.uniform(shape=(3, 65, 65, channels))
	layer_op = squeeze_and_excite.SimplifiedSqueezeAndExcite(
	channels)
	output_tensor = layer_op(input_tensor)
	self.assertListEqual(input_tensor.get_shape().as_list(),
	output_tensor.get_shape().as_list())

	def test_squeeze_and_excite_input_output_shape(self):
	# Test the shape of input and output of SqueezeAndExcite.
	channels = 32
	input_tensor = tf.random.uniform(shape=(3, 65, 65, channels))
	layer_op = squeeze_and_excite.SqueezeAndExcite(
	in_filters=channels,
	out_filters=channels,
	se_ratio=8,
	name='se')
	output_tensor = layer_op(input_tensor)
	self.assertListEqual(input_tensor.get_shape().as_list(),
	output_tensor.get_shape().as_list())


	if __name__ == '__main__':
	tf.test.main()