87 lines
4.0 KiB
Python
87 lines
4.0 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.middle.SharedWeightsDuplication import SharedWeightsDuplication
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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
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nodes_attributes = {
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'const': {'shape': None, 'type': 'Const', 'kind': 'op', 'op': 'Const'},
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# Mul and Add operations
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'mul_1': {'type': None, 'kind': 'op', 'op': 'Mul'},
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'mul_1_w': {'value': None, 'shape': None, 'kind': 'data'},
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'mul_1_data': {'value': None, 'shape': None, 'kind': 'data'},
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'mul_2': {'type': None, 'kind': 'op', 'op': 'Mul'},
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'mul_2_w': {'value': None, 'shape': None, 'kind': 'data'},
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'mul_2_data': {'value': None, 'shape': None, 'kind': 'data'},
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'mul_3': {'type': None, 'kind': 'op', 'op': 'Mul'},
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'mul_3_w': {'value': None, 'shape': None, 'kind': 'data'},
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'mul_3_data': {'value': None, 'shape': None, 'kind': 'data'},
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# Concat1 operation
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'concat_1': {'type': 'Concat', 'kind': 'op', 'op': 'Concat'},
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'concat_1_data': {'value': None, 'shape': None, 'kind': 'data'},
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'op_output': {'op': 'Result', 'kind': 'op'}
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}
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class DuplicateSharedWeightsTests(unittest.TestCase):
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def test_duplicate_shared_weights_1(self):
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graph = build_graph(nodes_attributes,
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[('const', 'mul_1_w'),
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('mul_1_w', 'mul_1'),
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('mul_1', 'mul_1_data'),
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('mul_1_w', 'mul_2'),
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('mul_2', 'mul_2_data'),
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('mul_1_w', 'mul_3'),
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('mul_3', 'mul_3_data'),
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('mul_1_data', 'concat_1'),
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('mul_2_data', 'concat_1'),
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('mul_3_data', 'concat_1'),
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('concat_1', 'concat_1_data'),
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('concat_1_data', 'op_output')
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],
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{'mul_1_w': {'shape': np.array([3]), 'value': np.array([1, 2, 3])}},
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nodes_with_edges_only=True
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)
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graph_ref = build_graph(nodes_attributes,
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[
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('mul_1_w', 'mul_1'),
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('mul_1', 'mul_1_data'),
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('mul_2_w', 'mul_2'),
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('mul_2', 'mul_2_data'),
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('mul_3_w', 'mul_3'),
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('mul_3', 'mul_3_data'),
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('mul_1_data', 'concat_1'),
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('mul_2_data', 'concat_1'),
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('mul_3_data', 'concat_1'),
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('concat_1', 'concat_1_data'),
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('concat_1_data', 'op_output')
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],
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{'mul_1_w': {'shape': np.array([3]), 'value': np.array([1, 2, 3])},
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'mul_2_w': {'shape': np.array([3]), 'value': np.array([1, 2, 3])},
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'mul_3_w': {'shape': np.array([3]), 'value': np.array([1, 2, 3])},
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}, nodes_with_edges_only=True)
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SharedWeightsDuplication().find_and_replace_pattern(graph)
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graph.clean_up()
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graph_ref.clean_up()
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(flag, resp) = compare_graphs(graph, graph_ref, 'concat_1_data')
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self.assertTrue(flag, resp) |