model-optimizer/mo/front/caffe/extractors/eltwise_test.py

   1 """
   2  Copyright (c) 2018-2019 Intel Corporation
   3
   4  Licensed under the Apache License, Version 2.0 (the "License");
   5  you may not use this file except in compliance with the License.
   6  You may obtain a copy of the License at
   7
   8       http://www.apache.org/licenses/LICENSE-2.0
   9
  10  Unless required by applicable law or agreed to in writing, software
  11  distributed under the License is distributed on an "AS IS" BASIS,
  12  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  13  See the License for the specific language governing permissions and
  14  limitations under the License.
  15 """
  16
  17 import unittest
  18 from unittest.mock import patch
  19
  20 from mo.front.caffe.extractors.eltwise import eltwise_ext
  21 from mo.utils.unittest.extractors import FakeMultiParam
  22
  23
  24 class FakeProtoLayer:
  25     def __init__(self, operation, coeff=[1]):
  26         self.eltwise_param = FakeMultiParam({'operation': operation,
  27                                              'coeff': coeff})
  28
  29
  30 class TestEltwise(unittest.TestCase):
  31     @patch('mo.front.caffe.extractors.eltwise.eltwise_infer')
  32     def test_eltwise_op_mul(self, eltwise_infer_mock):
  33         eltwise_infer_mock.return_value = {}
  34         res = eltwise_ext(FakeProtoLayer(0), None)
  35         exp_res = {
  36             'op': 'Mul',
  37             'operation': 'mul',
  38             'infer': None
  39         }
  40
  41         for i in exp_res.keys():
  42             if i == 'infer':
  43                 res['infer'](None)
  44                 args = eltwise_infer_mock.call_args
  45                 actual_lambda = args[0][1]
  46                 self.assertTrue(eltwise_infer_mock.called)
  47                 self.assertEqual(actual_lambda(3, 5), 3 * 5)
  48             else:
  49                 self.assertEqual(res[i], exp_res[i])
  50
  51     @patch('mo.front.caffe.extractors.eltwise.eltwise_infer')
  52     def test_eltwise_op_add(self, eltwise_infer_mock):
  53         eltwise_infer_mock.return_value = {}
  54         res = eltwise_ext(FakeProtoLayer(1, coeff=[0.39]), None)
  55         exp_res = {
  56             'op': 'Add',
  57             'operation': 'sum',
  58             'coeff': '0.39',
  59             'infer': None
  60         }
  61
  62         for i in exp_res.keys():
  63             if i == 'infer':
  64                 res['infer'](None)
  65                 args = eltwise_infer_mock.call_args
  66                 actual_lambda = args[0][1]
  67                 self.assertTrue(eltwise_infer_mock.called)
  68                 self.assertEqual(actual_lambda(3, 5), 3 + 5)
  69             else:
  70                 self.assertEqual(res[i], exp_res[i])
  71
  72     @patch('mo.front.caffe.extractors.eltwise.eltwise_infer')
  73     def test_eltwise_op_max(self, eltwise_infer_mock):
  74         eltwise_infer_mock.return_value = {}
  75         res = eltwise_ext(FakeProtoLayer(2), None)
  76         exp_res = {
  77             'op': 'Max',
  78             'operation': 'max',
  79             'infer': None
  80         }
  81
  82         for i in exp_res.keys():
  83             if i == 'infer':
  84                 res['infer'](None)
  85                 args = eltwise_infer_mock.call_args
  86                 actual_lambda = args[0][1]
  87                 self.assertTrue(eltwise_infer_mock.called)
  88                 self.assertEqual(actual_lambda(3, 5), 5)
  89             else:
  90                 self.assertEqual(res[i], exp_res[i])
  91
  92     def test_eltwise_op_exeption(self):
  93         self.assertRaises(Exception, eltwise_ext, FakeProtoLayer(4), None)