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57 lines
2.5 KiB
57 lines
2.5 KiB
# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Tests for graph_rewriter_builder."""
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import mock
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import tensorflow as tf
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from object_detection.builders import graph_rewriter_builder
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from object_detection.protos import graph_rewriter_pb2
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class QuantizationBuilderTest(tf.test.TestCase):
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def testQuantizationBuilderSetsUpCorrectTrainArguments(self):
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with mock.patch.object(
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tf.contrib.quantize, 'create_training_graph') as mock_quant_fn:
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with mock.patch.object(tf.contrib.layers,
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'summarize_collection') as mock_summarize_col:
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graph_rewriter_proto = graph_rewriter_pb2.GraphRewriter()
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graph_rewriter_proto.quantization.delay = 10
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graph_rewriter_proto.quantization.weight_bits = 8
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graph_rewriter_proto.quantization.activation_bits = 8
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graph_rewrite_fn = graph_rewriter_builder.build(
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graph_rewriter_proto, is_training=True)
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graph_rewrite_fn()
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_, kwargs = mock_quant_fn.call_args
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self.assertEqual(kwargs['input_graph'], tf.get_default_graph())
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self.assertEqual(kwargs['quant_delay'], 10)
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mock_summarize_col.assert_called_with('quant_vars')
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def testQuantizationBuilderSetsUpCorrectEvalArguments(self):
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with mock.patch.object(tf.contrib.quantize,
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'create_eval_graph') as mock_quant_fn:
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with mock.patch.object(tf.contrib.layers,
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'summarize_collection') as mock_summarize_col:
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graph_rewriter_proto = graph_rewriter_pb2.GraphRewriter()
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graph_rewriter_proto.quantization.delay = 10
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graph_rewrite_fn = graph_rewriter_builder.build(
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graph_rewriter_proto, is_training=False)
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graph_rewrite_fn()
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_, kwargs = mock_quant_fn.call_args
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self.assertEqual(kwargs['input_graph'], tf.get_default_graph())
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mock_summarize_col.assert_called_with('quant_vars')
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if __name__ == '__main__':
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tf.test.main()
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