* Refactored LeakyRelu transformation * Added unit test for LeakyRelu transformation + removed duplicate test function valued_const
94 lines
4.0 KiB
Python
94 lines
4.0 KiB
Python
"""
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Copyright (C) 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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from extensions.back.FakeOutputResolver import FakeOutputResolver
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from mo.front.common.partial_infer.utils import int64_array
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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, result, regular_op_with_empty_data, connect, empty_data, \
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valued_const_with_data
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class FakeOutputResolverTest(unittest.TestCase):
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def test_one(self):
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nodes = {
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**regular_op_with_empty_data('input', {'type': 'Parameter'}),
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**regular_op_with_empty_data('some_op', {'type': 'SomeOp', 'name': 'some_op_name'}),
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**regular_op_with_empty_data('fake_output',
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{'type': None, 'kind': 'op', 'op': 'FakeOutput', 'name': 'my_output_name'}),
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**result('result'),
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}
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edges = [*connect('input', 'some_op'),
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*connect('some_op', 'fake_output'),
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*connect('fake_output', 'result'),
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]
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graph = build_graph(nodes, edges)
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edges_ref = [*connect('input', 'some_op'),
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*connect('some_op', 'result'),
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]
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graph_ref = build_graph(nodes, edges_ref, {'some_op': {'name': 'my_output_name'}})
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FakeOutputResolver().find_and_replace_pattern(graph)
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(flag, resp) = compare_graphs(graph, graph_ref, 'result')
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self.assertTrue(flag, resp)
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def test_multi(self):
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nodes = {
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**regular_op_with_empty_data('input', {'type': 'Parameter'}),
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**regular_op_with_empty_data('some_op', {'type': 'SomeOp', 'name': 'some_op_name'}),
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**empty_data('some_op_d2'),
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**regular_op_with_empty_data('fake_output1',
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{'type': None, 'kind': 'op', 'op': 'FakeOutput', 'name': 'my_output_name1'}),
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**regular_op_with_empty_data('fake_output2',
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{'type': None, 'kind': 'op', 'op': 'FakeOutput', 'name': 'my_output_name2'}),
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**valued_const_with_data('const1', int64_array(0)),
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**valued_const_with_data('const2', int64_array(0)),
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**regular_op_with_empty_data('add1', {'type': None, 'kind': 'op', 'op': 'Add', 'name': 'my_output_name1'}),
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**regular_op_with_empty_data('add2', {'type': None, 'kind': 'op', 'op': 'Add', 'name': 'my_output_name2'}),
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**result('result1'),
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**result('result2'),
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}
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edges = [*connect('input', 'some_op'),
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*connect('some_op', 'fake_output1'),
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('some_op', 'some_op_d2'),
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('some_op_d2', 'fake_output2'),
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*connect('fake_output1', 'result1'),
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*connect('fake_output2', 'result2'),
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]
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graph = build_graph(nodes, edges)
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edges_ref = [*connect('input', 'some_op'),
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*connect('some_op', '0:add1'),
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*connect('const1', '1:add1'),
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('some_op', 'some_op_d2'),
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('some_op_d2', 'add2', {'in': 0}),
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*connect('const2', '1:add2'),
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*connect('add1', 'result1'),
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*connect('add2', 'result2'),
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]
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graph_ref = build_graph(nodes, edges_ref)
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FakeOutputResolver().find_and_replace_pattern(graph)
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(flag, resp) = compare_graphs(graph, graph_ref, 'result1')
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self.assertTrue(flag, resp)
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