63 lines
2.6 KiB
Python
63 lines
2.6 KiB
Python
"""
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Copyright (C) 2018-2020 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.front.AttributedClampNormalizer import AttributedClampNormalizer
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from mo.utils.ir_engine.compare_graphs import compare_graphs
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from mo.utils.unittest.graph import build_graph, const
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nodes_attributes = {
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'placeholder': {'shape': None, 'type': 'Parameter', 'kind': 'op', 'op': 'Parameter'},
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'attr_clamp': {'type': 'Clamp', 'kind': 'op', 'op': 'AttributedClamp', 'name': 'attr_clamp',
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'min': np.array(-3.5, dtype=np.float32), 'max': np.array(3.5, dtype=np.float32)},
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'result': {'type': 'Result', 'value': None, 'kind': 'op', 'op': 'Result'},
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# new Clamp layer and inputs
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'clamp': {'type': None, 'kind': 'op', 'op': 'Clamp'},
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**const('min', np.array(-3.5, dtype=np.float32)),
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**const('max', np.array(3.5, dtype=np.float32)),
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}
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class AttributedClampNormalizerTest(unittest.TestCase):
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def test_1(self):
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graph = build_graph(nodes_attributes,
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[('placeholder', 'attr_clamp', {'in': 0, 'out': 0}),
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('attr_clamp', 'result', {'in': 0, 'out': 0}),
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],
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{}, nodes_with_edges_only=True)
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graph_ref = build_graph(nodes_attributes,
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[('placeholder', 'clamp', {'in': 0, 'out': 0}),
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('min', 'clamp', {'in': 1, 'out': 0}),
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('max', 'clamp', {'in': 2, 'out': 0}),
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('clamp', 'result')
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],
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{}, nodes_with_edges_only=True)
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graph.graph['layout'] = 'NCHW'
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graph.stage = 'front'
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replacer = AttributedClampNormalizer()
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replacer.find_and_replace_pattern(graph)
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(flag, resp) = compare_graphs(graph, graph_ref, 'result', check_op_attrs=True)
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self.assertTrue(flag, resp)
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self.assertTrue(graph.node[graph.get_nodes_with_attributes(op='Clamp')[0]]['name'] == 'attr_clamp')
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