2 Copyright (c) 2018 Intel Corporation
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
8 http://www.apache.org/licenses/LICENSE-2.0
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.
21 from extensions.front.image_scaler import ImageScaler
22 from mo.utils.unittest.graph import build_graph, compare_graphs
25 'placeholder_1': {'shape': None, 'type': 'Placeholder', 'kind': 'op', 'op': 'Placeholder'},
26 'placeholder_1_data': {'value': None, 'shape': None, 'kind': 'data', 'data_type': None},
27 # ImageScaler operation
28 'im_scaler': {'type': None, 'kind': 'op', 'op': 'ImageScaler'},
29 'im_scaler_data': {'value': None, 'shape': None, 'kind': 'data'},
31 'last': {'type': None, 'value': None, 'kind': 'op', 'op': None},
32 'last_data': {'value': None, 'shape': None, 'kind': 'data'},
33 # Mul and Add operations
34 'mul_1': {'type': None, 'value': None, 'kind': 'op', 'op': 'Mul'},
35 'mul_1_w': {'value': None, 'shape': None, 'kind': 'op', 'op': 'Const'},
36 'mul_1_data': {'value': None, 'shape': None, 'kind': 'data'},
37 'add_1': {'type': None, 'value': None, 'kind': 'op', 'op': 'Add'},
38 'add_1_w': {'value': None, 'shape': None, 'kind': 'op', 'op': 'Const'},
39 'add_1_data': {'value': None, 'shape': None, 'kind': 'data'},
43 class ImageScalerTest(unittest.TestCase):
44 def test_image_scaler_test1(self):
45 graph = build_graph(nodes_attributes,
46 [('placeholder_1', 'placeholder_1_data'),
47 ('placeholder_1_data', 'im_scaler'),
48 ('im_scaler', 'im_scaler_data'),
49 ('im_scaler_data', 'last'),
51 {'placeholder_1_data': {'shape': np.array([1, 227, 227, 3])},
52 'im_scaler': {'scale': np.array(1.0), 'bias': np.reshape(np.array([1, 2, 3]), [3, 1, 1])},
53 }, nodes_with_edges_only=True)
55 graph_ref = build_graph(nodes_attributes,
56 [('placeholder_1', 'placeholder_1_data'),
57 ('placeholder_1_data', 'add_1'),
59 ('add_1', 'add_1_data'),
60 ('add_1_data', 'last')
62 {'placeholder_1_data': {'shape': np.array([1, 227, 227, 3])},
63 'add_1_w': {'shape': np.array([3, 1, 1]),
64 'value': np.reshape(np.array([1, 2, 3]), [3, 1, 1])},
65 }, nodes_with_edges_only=True)
67 graph.graph['layout'] = 'NCHW'
69 replacer = ImageScaler()
70 replacer.find_and_replace_pattern(graph)
72 (flag, resp) = compare_graphs(graph, graph_ref, 'last')
73 self.assertTrue(flag, resp)
75 def test_image_scaler_test2(self):
76 graph = build_graph(nodes_attributes,
77 [('placeholder_1', 'placeholder_1_data'),
78 ('placeholder_1_data', 'im_scaler'),
79 ('im_scaler', 'im_scaler_data'),
80 ('im_scaler_data', 'last'),
82 {'placeholder_1_data': {'shape': np.array([1, 227, 227, 3])},
83 'im_scaler': {'scale': np.array(2.0), 'bias': np.reshape(np.array([0, 0, 0]), [3, 1, 1])},
84 }, nodes_with_edges_only=True)
86 graph_ref = build_graph(nodes_attributes,
87 [('placeholder_1', 'placeholder_1_data'),
88 ('placeholder_1_data', 'mul_1'),
90 ('mul_1', 'mul_1_data'),
91 ('mul_1_data', 'last')
93 {'placeholder_1_data': {'shape': np.array([1, 227, 227, 3])},
94 'mul_1_w': {'shape': np.array(2.0).shape, 'value': np.array(2.0)},
95 }, nodes_with_edges_only=True)
97 graph.graph['layout'] = 'NCHW'
99 replacer = ImageScaler()
100 replacer.find_and_replace_pattern(graph)
102 (flag, resp) = compare_graphs(graph, graph_ref, 'last')
103 self.assertTrue(flag, resp)