65 lines
2.0 KiB
Python
65 lines
2.0 KiB
Python
"""
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Copyright (c) 2018-2019 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 unittest.mock import patch
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from extensions.front.caffe.normalize_ext import NormalizeFrontExtractor
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from extensions.ops.normalize import NormalizeOp
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from mo.utils.unittest.extractors import FakeMultiParam
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from mo.utils.unittest.graph import FakeNode
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from mo.ops.op import Op
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class FakeNormalizeProtoLayer:
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def __init__(self, val):
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self.norm_param = val
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class TestNormalizeExt(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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Op.registered_ops['Normalize'] = NormalizeOp
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def test_normalize_no_pb_no_ml(self):
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self.assertRaises(AttributeError, NormalizeFrontExtractor.extract, None)
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@patch('extensions.front.caffe.normalize_ext.collect_attributes')
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def test_normalize_ext_ideal_numbers(self, collect_attributes_mock):
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params = {
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'across_spatial': 1,
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'channel_shared': 0,
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'eps': 0.00001
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}
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collect_attributes_mock.return_value = {
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**params
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}
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fake_pl = FakeNormalizeProtoLayer(FakeMultiParam(params))
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fake_node = FakeNode(fake_pl, None)
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NormalizeFrontExtractor.extract(fake_node)
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exp_res = {
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'type': "Normalize",
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'across_spatial': 1,
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'channel_shared': 0,
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'eps': 0.00001,
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}
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for key in exp_res.keys():
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self.assertEqual(fake_node[key], exp_res[key])
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