1a787cb3ba
* move crop extractor * Add concat_ext.py * Add roipooling_ext.py * Add roipooling_ext * Add scale extractor * Add scale extractor * Add bn_ext.py and dropout_ext.py * Add bn_ext.py and dropout_ext.py * Add bn_ext.py and dropout_ext.py * Fix bn.ext.py * Sort fix * Fix bn_test.py * rename to batchnorm_ext * Add bn_ext * Fix batchnorm_ext.py * small fix * Small fix
67 lines
1.9 KiB
Python
67 lines
1.9 KiB
Python
"""
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Copyright (C) 2018-2021 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.crop_ext import CropFrontExtractor
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from mo.front.common.partial_infer.crop import crop_infer
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from mo.ops.crop import Crop
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from mo.ops.op import Op
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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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class FakeCropProtoLayer:
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def __init__(self, val):
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self.crop_param = val
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class TestCropExt(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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Op.registered_ops['Crop'] = Crop
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def test_da_no_pb_no_ml(self):
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self.assertRaises(AttributeError, CropFrontExtractor.extract, None)
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@patch('mo.front.caffe.collect_attributes')
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def test_crop_ext(self, collect_attributes_mock):
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params = {
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'axis': 0,
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'offset': 0,
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}
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collect_attributes_mock.return_value = {
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**params,
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'test': 54,
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'test2': 'test3'
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}
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fake_pl = FakeCropProtoLayer(FakeMultiParam(params))
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fake_node = FakeNode(fake_pl, None)
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CropFrontExtractor.extract(fake_node)
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exp_res = {
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'type': 'Crop',
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'axis': 0,
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'offset': 0,
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'dim': None, # set in infer
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'infer': crop_infer
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}
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for key in exp_res.keys():
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self.assertEqual(exp_res[key], fake_node[key])
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