Files
openvino/model-optimizer/extensions/back/FakeOutputResolver_test.py
Evgeny Lazarev d86019d104 Leaky relu transformation refactor (#2640)
* Refactored LeakyRelu transformation

* Added unit test for LeakyRelu transformation + removed duplicate test function valued_const
2020-10-14 16:43:29 +03:00

94 lines
4.0 KiB
Python

"""
Copyright (C) 2020 Intel Corporation
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
import unittest
from extensions.back.FakeOutputResolver import FakeOutputResolver
from mo.front.common.partial_infer.utils import int64_array
from mo.utils.ir_engine.compare_graphs import compare_graphs
from mo.utils.unittest.graph import build_graph, result, regular_op_with_empty_data, connect, empty_data, \
valued_const_with_data
class FakeOutputResolverTest(unittest.TestCase):
def test_one(self):
nodes = {
**regular_op_with_empty_data('input', {'type': 'Parameter'}),
**regular_op_with_empty_data('some_op', {'type': 'SomeOp', 'name': 'some_op_name'}),
**regular_op_with_empty_data('fake_output',
{'type': None, 'kind': 'op', 'op': 'FakeOutput', 'name': 'my_output_name'}),
**result('result'),
}
edges = [*connect('input', 'some_op'),
*connect('some_op', 'fake_output'),
*connect('fake_output', 'result'),
]
graph = build_graph(nodes, edges)
edges_ref = [*connect('input', 'some_op'),
*connect('some_op', 'result'),
]
graph_ref = build_graph(nodes, edges_ref, {'some_op': {'name': 'my_output_name'}})
FakeOutputResolver().find_and_replace_pattern(graph)
(flag, resp) = compare_graphs(graph, graph_ref, 'result')
self.assertTrue(flag, resp)
def test_multi(self):
nodes = {
**regular_op_with_empty_data('input', {'type': 'Parameter'}),
**regular_op_with_empty_data('some_op', {'type': 'SomeOp', 'name': 'some_op_name'}),
**empty_data('some_op_d2'),
**regular_op_with_empty_data('fake_output1',
{'type': None, 'kind': 'op', 'op': 'FakeOutput', 'name': 'my_output_name1'}),
**regular_op_with_empty_data('fake_output2',
{'type': None, 'kind': 'op', 'op': 'FakeOutput', 'name': 'my_output_name2'}),
**valued_const_with_data('const1', int64_array(0)),
**valued_const_with_data('const2', int64_array(0)),
**regular_op_with_empty_data('add1', {'type': None, 'kind': 'op', 'op': 'Add', 'name': 'my_output_name1'}),
**regular_op_with_empty_data('add2', {'type': None, 'kind': 'op', 'op': 'Add', 'name': 'my_output_name2'}),
**result('result1'),
**result('result2'),
}
edges = [*connect('input', 'some_op'),
*connect('some_op', 'fake_output1'),
('some_op', 'some_op_d2'),
('some_op_d2', 'fake_output2'),
*connect('fake_output1', 'result1'),
*connect('fake_output2', 'result2'),
]
graph = build_graph(nodes, edges)
edges_ref = [*connect('input', 'some_op'),
*connect('some_op', '0:add1'),
*connect('const1', '1:add1'),
('some_op', 'some_op_d2'),
('some_op_d2', 'add2', {'in': 0}),
*connect('const2', '1:add2'),
*connect('add1', 'result1'),
*connect('add2', 'result2'),
]
graph_ref = build_graph(nodes, edges_ref)
FakeOutputResolver().find_and_replace_pattern(graph)
(flag, resp) = compare_graphs(graph, graph_ref, 'result1')
self.assertTrue(flag, resp)