2 Copyright (c) 2018-2019 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.middle.PixelLinkReshape import PixelLinkReshape
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},
28 'reshape_pack': {'type': 'Reshape', 'kind': 'op', 'op': 'Reshape'},
29 'reshape_pack_data': {'value': None, 'shape': None, 'kind': 'data'},
30 'reshape_split': {'type': 'Reshape', 'kind': 'op', 'op': 'Reshape'},
31 'reshape_split_data': {'value': None, 'shape': None, 'kind': 'data'},
32 'reshape_unpack': {'type': 'Reshape', 'kind': 'op', 'op': 'Reshape'},
33 'reshape_unpack_data': {'value': None, 'shape': None, 'kind': 'data'},
34 'strided_slice': {'type': 'StridedSlice', 'kind': 'op', 'op': 'StridedSlice'},
35 'strided_slice_data': {'value': None, 'shape': None, 'kind': 'data'},
37 'reshape_split/Permute_before': {'type': 'Permute', 'kind': 'op', 'op': 'Permute'},
38 'reshape_split/Permute_before_data': {'value': None, 'shape': None, 'kind': 'data'},
39 'reshape_pack/Permute_after': {'type': 'Permute', 'kind': 'op', 'op': 'Permute'},
40 'reshape_pack/Permute_after_data': {'value': None, 'shape': None, 'kind': 'data'},
41 # uncoment when strided slice will be enabled
42 # 'reshape_unpack/Permute_after_unpack': {'type': 'Permute', 'kind': 'op', 'op': 'Permute'},
43 # 'reshape_unpack/Permute_after_unpack_data': {'value': None, 'shape': None, 'kind': 'data'},
45 'softmax_1': {'type': 'SoftMax', 'kind': 'op', 'op': 'SoftMax'},
46 'softmax_1_data': {'value': None, 'shape': None, 'kind': 'data'},
50 class ReshapeSoftmaxReshapeTests(unittest.TestCase):
52 graph = build_graph(nodes_attributes,
53 [('placeholder_1', 'placeholder_1_data'),
54 ('placeholder_1_data', 'reshape_split'),
55 ('reshape_split', 'reshape_split_data'),
56 ('reshape_split_data', 'reshape_pack'),
57 ('reshape_pack', 'reshape_pack_data'),
58 ('reshape_pack_data', 'softmax_1'),
59 ('softmax_1', 'softmax_1_data'),
60 ('softmax_1_data', 'reshape_unpack'),
61 ('reshape_unpack', 'reshape_unpack_data'),
62 ('reshape_unpack_data', 'strided_slice'),
63 ('strided_slice', 'strided_slice_data'),
65 {'placeholder_1_data': {'shape': np.array([1, 227, 227, 16])},
66 'reshape_split': {'dim': np.array([1, 227, 227, 8, 2])},
67 'reshape_split_data': {'shape': np.array([1, 227, 227, 8, 2])},
68 'softmax_1_data': {'shape': np.array([1 * 227 * 227 * 8, 2])},
69 'reshape_pack': {'dim': np.array([1 * 227 * 227 * 8, 2])},
70 'reshape_pack_data': {'shape': np.array([1 * 227 * 227 * 8, 2])},
71 'reshape_unpack': {'dim': np.array([1, 227, 227, 8, 2])},
72 'reshape_unpack_data': {'shape': np.array([1, 227, 227, 8, 2])},
74 'slices': [slice(0, 1, 1), slice(0, 227, 1), slice(0, 227, 1), slice(0, 8, 1),
76 'shrink_axis_mask': [0, 0, 0, 0, 1],
77 'new_axis_mask': [0, 0, 0, 0, 0],
78 'ellipsis_mask': [0, 0, 0, 0, 0],
79 'begin_mask': [1, 1, 1, 1, 1],
80 'end_mask': [1, 1, 1, 1, 1], },
81 'strided_slice_data': {'shape': np.array([1, 227, 227, 8])},
83 graph.graph['layout'] = 'NHWC'
85 graph_ref = build_graph(nodes_attributes,
86 [('placeholder_1', 'placeholder_1_data'),
87 ('placeholder_1_data', 'reshape_split/Permute_before'),
88 ('reshape_split/Permute_before', 'reshape_split/Permute_before_data'),
89 ('reshape_split/Permute_before_data', 'reshape_split'),
90 ('reshape_split', 'reshape_split_data'),
91 ('reshape_split_data', 'reshape_pack'),
92 ('reshape_pack', 'reshape_pack/Permute_after_data'),
93 ('reshape_pack/Permute_after_data', 'reshape_pack/Permute_after'),
94 ('reshape_pack/Permute_after', 'reshape_pack_data'),
95 ('reshape_pack_data', 'softmax_1'),
96 ('softmax_1', 'softmax_1_data'),
97 # comment when strided slice will be enabled
98 ('softmax_1_data', 'strided_slice'),
99 ('strided_slice', 'reshape_unpack_data'),
100 ('reshape_unpack_data', 'reshape_unpack'),
101 ('reshape_unpack', 'strided_slice_data'),
102 # uncomment when strided slice will be enabled
103 # ('softmax_1_data', 'reshape_unpack'),
104 # ('reshape_unpack', 'reshape_unpack/Permute_after_unpack_data'),
105 # ('reshape_unpack/Permute_after_unpack_data', 'reshape_unpack/Permute_after_unpack'),
106 # ('reshape_unpack/Permute_after_unpack', 'reshape_unpack_data'),
107 # ('reshape_unpack_data', 'strided_slice'),
108 # ('strided_slice', 'strided_slice_data'),
110 {'placeholder_1_data': {'shape': np.array([1, 227, 227, 16])},
111 'reshape_split/Permute_before_data': {'shape': np.array([1, 227, 16, 227])},
112 'reshape_split_data': {'shape': np.array([1, 227, 227, 8, 2])},
113 'reshape_pack_data': {'shape': np.array([1, 2, 1 * 227 * 227 * 8])},
114 'reshape_pack/Permute_after_data': {'shape': np.array([1, 227 * 227 * 8, 2])},
115 'softmax_1_data': {'shape': np.array([1, 2, 1 * 227 * 227 * 8])},
116 # comment when strided slice will be enabled
117 'reshape_unpack_data': {'shape': np.array([1, 1, 227 * 227 * 8])},
118 # uncomment when strided slice will be enabled
119 # 'reshape_unpack_data': {'shape': np.array([1, 8, 227, 227, 2])},
120 # 'reshape_unpack/Permute_after_unpack_data': {'shape': np.array([1, 227, 227, 8, 2])},
121 'strided_slice_data': {'shape': np.array([1, 227, 227, 8])}
124 pattern = PixelLinkReshape()
125 pattern.find_and_replace_pattern(graph)
127 (flag, resp) = compare_graphs(graph, graph_ref, 'strided_slice_data', check_op_attrs=True)
128 self.assertTrue(flag, resp)