model-optimizer/extensions/middle/PixelLinkReshape_test.py

   1 """
   2  Copyright (c) 2018 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
  19 import numpy as np
  20
  21 from extensions.middle.PixelLinkReshape import PixelLinkReshape
  22 from mo.utils.unittest.graph import build_graph, compare_graphs
  23
  24 nodes_attributes = {
  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     # Reshape layers
  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'},
  36     # Transpose layer
  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     # Softmax layer
  42     'softmax_1': {'type': 'SoftMax', 'kind': 'op', 'op': 'SoftMax'},
  43     'softmax_1_data': {'value': None, 'shape': None, 'kind': 'data'},
  44 }
  45
  46
  47 class ReshapeSoftmaxReshapeTests(unittest.TestCase):
  48     def test_1(self):
  49         graph = build_graph(nodes_attributes,
  50                             [('placeholder_1', 'placeholder_1_data'),
  51                              ('placeholder_1_data', 'reshape_split'),
  52                              ('reshape_split', 'reshape_split_data'),
  53                              ('reshape_split_data', 'reshape_pack'),
  54                              ('reshape_pack', 'reshape_pack_data'),
  55                              ('reshape_pack_data', 'softmax_1'),
  56                              ('softmax_1', 'softmax_1_data'),
  57                              ('softmax_1_data', 'reshape_unpack'),
  58                              ('reshape_unpack', 'reshape_unpack_data'),
  59                              ('reshape_unpack_data', 'strided_slice'),
  60                              ('strided_slice', 'strided_slice_data'),
  61                              ],
  62                             {'placeholder_1_data': {'shape': np.array([1, 227, 227, 16])},
  63                              'reshape_split': {'dim': np.array([1, 227, 227, 8, 2])},
  64                              'reshape_split_data': {'shape': np.array([1, 227, 227, 8, 2])},
  65                              'softmax_1_data': {'shape': np.array([1 * 227 * 227 * 8, 2])},
  66                              'reshape_pack': {'dim': np.array([1 * 227 * 227 * 8, 2])},
  67                              'reshape_pack_data': {'shape': np.array([1 * 227 * 227 * 8, 2])},
  68                              'reshape_unpack': {'dim': np.array([1, 227, 227, 8, 2])},
  69                              'reshape_unpack_data': {'shape': np.array([1, 227, 227, 8, 2])},
  70                              'strided_slice': {
  71                                  'slices': [slice(0, 1, 1), slice(0, 227, 1), slice(0, 227, 1), slice(0, 8, 1),
  72                                             slice(1, 2, 1)],
  73                                  'shrink_axis_mask': [False, False, False, False, True],
  74                                  'new_axis_mask': [False, False, False, False, False]},
  75                              'strided_slice_data': {'shape': np.array([1, 227, 227, 8])},
  76                              })
  77         graph.graph['layout'] = 'NHWC'
  78
  79         graph_ref = build_graph(nodes_attributes,
  80                                 [('placeholder_1', 'placeholder_1_data'),
  81                                  ('placeholder_1_data', 'reshape_split/Permute_before'),
  82                                  ('reshape_split/Permute_before', 'reshape_split/Permute_before_data'),
  83                                  ('reshape_split/Permute_before_data', 'reshape_split'),
  84                                  ('reshape_split', 'reshape_split_data'),
  85                                  ('reshape_split_data', 'reshape_pack'),
  86                                  ('reshape_pack', 'reshape_pack/Permute_after_data'),
  87                                  ('reshape_pack/Permute_after_data', 'reshape_pack/Permute_after'),
  88                                  ('reshape_pack/Permute_after', 'reshape_pack_data'),
  89                                  ('reshape_pack_data', 'softmax_1'),
  90                                  ('softmax_1', 'softmax_1_data'),
  91                                  ('softmax_1_data', 'strided_slice'),
  92                                  ('strided_slice', 'reshape_unpack_data'),
  93                                  ('reshape_unpack_data', 'reshape_unpack'),
  94                                  ('reshape_unpack', 'strided_slice_data')
  95                                  ],
  96                                 {'placeholder_1_data': {'shape': np.array([1, 227, 227, 16])},
  97                                  'reshape_split/Permute_before_data': {'shape': np.array([1, 227, 16, 227])},
  98                                  'reshape_split_data': {'shape': np.array([1, 227, 227, 8, 2])},
  99                                  'reshape_pack_data': {'shape': np.array([1, 2, 1 * 227 * 227 * 8])},
 100                                  'reshape_pack/Permute_after_data': {'shape': np.array([1, 227 * 227 * 8, 2])},
 101                                  'softmax_1_data': {'shape': np.array([1, 2, 1 * 227 * 227 * 8])},
 102                                  'reshape_unpack_data': {'shape': np.array([1, 1, 227 * 227 * 8])},
 103                                  'strided_slice_data': {'shape': np.array([1, 227, 227, 8])}
 104                                  })
 105
 106         pattern = PixelLinkReshape()
 107         pattern.find_and_replace_pattern(graph)
 108
 109         (flag, resp) = compare_graphs(graph, graph_ref, 'strided_slice_data', check_op_attrs=True)
 110         self.assertTrue(flag, resp)