46 lines
1.4 KiB
Python
46 lines
1.4 KiB
Python
"""
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Copyright (C) 2018-2020 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 unittest.mock import patch
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from extensions.front.caffe.elementwise_ext import BiasToAdd
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from mo.utils.unittest.extractors import FakeModelLayer, FakeMultiParam
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from mo.utils.unittest.graph import FakeNode
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class FakeBiasProtoLayer:
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def __init__(self, val):
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self.bias_param = val
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class TestBias(unittest.TestCase):
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@patch('extensions.front.caffe.elementwise_ext.embed_input')
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def test_bias(self, embed_input_mock):
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embed_input_mock.return_value = {}
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params = {'axis': 1}
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add_node = FakeNode(FakeBiasProtoLayer(FakeMultiParam(params)),
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FakeModelLayer([1, 2, 3, 4, 5]))
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BiasToAdd.extract(add_node)
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exp_res = {
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'type': "Add",
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'axis': 1
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}
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for key in exp_res.keys():
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self.assertEqual(add_node[key], exp_res[key])
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