53 lines
1.8 KiB
Python
53 lines
1.8 KiB
Python
"""
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Copyright (C) 2017-2020 Intel Corporation
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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import unittest
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import numpy as np
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from extensions.back.insert_compatibility_l2normalization import CompatibilityL2NormalizationPattern
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from mo.utils.unittest.graph import build_graph
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class CompatibilityL2NormalizationPatternTest(unittest.TestCase):
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nodes = {
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'input_node': {
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'kind': 'data'
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},
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'l2norm_node': {
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'op': 'Normalize',
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'kind': 'op',
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'type': 'Normalize',
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},
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'output_node': {
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'kind': 'data'
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}
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}
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def test_insert_data(self):
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graph = build_graph(self.nodes, [('input_node', 'l2norm_node'), ('l2norm_node', 'output_node')],
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{'input_node': {'shape': np.array([1, 10])},
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})
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CompatibilityL2NormalizationPattern().find_and_replace_pattern(graph)
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self.assertEqual(len(graph.nodes()), 5)
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self.assertEqual(graph.node['l2norm_node_weights']['name'], 'l2norm_node_weights')
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self.assertEqual(len(graph.node['l2norm_node_weights']['value']), 10)
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expect_value = np.full([10], 1.0, np.float32)
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for i, val in enumerate(expect_value):
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self.assertEqual(graph.node['l2norm_node_weights']['value'][i], val)
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