openvino/model-optimizer/extensions/front/instance_normalization_test.py

68 lines
2.4 KiB
Python

"""
Copyright (c) 2018-2019 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
import networkx as nx
from extensions.front.instance_normalization import InstanceNormalization
from mo.utils.unittest.graph import build_graph
from mo.middle.pattern_match import node_match
nodes_attributes = {
'input': {'kind': 'op', 'op': 'AnyOp'},
'scale': {'kind': 'op', 'op': 'AnyOp'},
'B': {'kind': 'op', 'op': 'AnyOp'},
'node': {'kind': 'op', 'op': 'InstanceNormalization', 'epsilon': None},
}
nodes_ref_attributes = {
'input': {'op': 'AnyOp'},
'scale': {'op': 'AnyOp'},
'B': {'op': 'AnyOp'},
'mvn': {'kind': 'op', 'op': 'MVN', 'name': 'node/Ins_Norm/MVN_', 'eps': None},
'mul': {'kind': 'op', 'op': 'Mul', 'name': 'node/Ins_Norm/mul_'},
'add': {'kind': 'op', 'op': 'Add', 'name': 'node/Ins_Norm/add_'},
}
class TestInstanceNormalization(unittest.TestCase):
def test_instance_normalization_test_1(self):
graph = build_graph(nodes_attributes,
[('input', 'node'),
('scale', 'node'),
('B', 'node'),
],
{'node': {'epsilon': 0.123},
}, nodes_with_edges_only=True)
ref_graph = build_graph(nodes_ref_attributes,
[('input', 'mvn'),
('mvn', 'mul'),
('scale', 'mul'),
('mul', 'add'),
('B', 'add'),
],
{'mvn': {'eps': 0.123},
}, nodes_with_edges_only=True)
graph.stage = 'front'
tested_class = InstanceNormalization()
tested_class.find_and_replace_pattern(graph)
self.assertTrue(nx.is_isomorphic(graph, ref_graph, node_match))