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openvino/model-optimizer/extensions/front/onnx/normalize_ext_test.py
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Python

"""
Copyright (C) 2018-2020 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 onnx
from extensions.front.onnx.normalize_ext import NormalizeFrontExtractor
from mo.utils.unittest.extractors import PB, BaseExtractorsTestingClass
class TestNormalize(BaseExtractorsTestingClass):
@staticmethod
def _create_node(across_spatial=None, channel_shared=None, eps=None):
if across_spatial is None:
across_spatial = 0
if channel_shared is None:
channel_shared = 0
if eps is None:
eps = 0.1
pb = onnx.helper.make_node(
'Normalize',
across_spatial=across_spatial,
channel_shared=channel_shared,
eps=eps,
inputs=['a'],
outputs=['b']
)
node = PB({'pb': pb})
return node
def test_ok(self):
node = self._create_node()
NormalizeFrontExtractor.extract(node)
self.res = node
self.expected = {
'across_spatial': False,
'channel_shared': False,
'eps': 0.1
}
self.compare()