model-optimizer/mo/ops/unsqueeze_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
  19 import numpy as np
  20 from generator import generator
  21
  22 from mo.front.common.partial_infer.utils import int64_array
  23 from mo.graph.graph import Node
  24 from mo.ops.unsqueeze import Unsqueeze
  25 from mo.utils.unittest.graph import build_graph, compare_graphs
  26
  27
  28 @generator
  29 class TestUnsqueezeOp(unittest.TestCase):
  30     nodes_attributes = {
  31         'data_1': {
  32             'kind': 'data',
  33             'shape': None,
  34             'value': None,
  35         },
  36         'unsq': {
  37             'op': 'Unsqueeze',
  38             'kind': 'op',
  39         },
  40         'unsq_dims_const': {
  41             'op': 'Const',
  42             'kind': 'op',
  43         },
  44         'unsq_dims': {
  45             'kind': 'data',
  46         },
  47         'data_2': {
  48             'kind': 'data',
  49             'shape': None,
  50             'value': None,
  51         }
  52     }
  53
  54     def test_unsqueeze_infer(self):
  55         unsq_dims = np.array([0, 4])
  56         graph = build_graph(self.nodes_attributes,
  57                             [('data_1', 'unsq'),
  58                              ('unsq_dims_const', 'unsq_dims'),
  59                              ('unsq_dims', 'unsq'),
  60                              ('unsq', 'data_2')],
  61                             {'data_1': {'shape': np.array([1, 3, 64, 64])},
  62                              'unsq_dims': {'value': unsq_dims, 'shape': unsq_dims.shape},
  63                              'unsq_dims_const': {'value': unsq_dims, 'shape': unsq_dims.shape},
  64                              })
  65
  66         graph_ref = build_graph(self.nodes_attributes,
  67                                 [('data_1', 'unsq'),
  68                                  ('unsq_dims_const', 'unsq_dims'),
  69                                  ('unsq_dims', 'unsq'),
  70                                  ('unsq', 'data_2')],
  71                                 {'data_1': {'shape': np.array([1, 3, 64, 64])},
  72                                  'unsq_dims': {'value': unsq_dims, 'shape': unsq_dims.shape},
  73                                  'unsq_dims_const': {'value': unsq_dims, 'shape': unsq_dims.shape},
  74                                  'data_2': {'shape': np.array([1, 1, 3, 64, 1, 64])},
  75                                  })
  76
  77         unsqueeze_node = Node(graph, 'unsq')
  78         Unsqueeze.infer(unsqueeze_node)
  79
  80         (flag, resp) = compare_graphs(graph, graph_ref, 'data_2')
  81         self.assertTrue(flag, resp)
  82
  83     def test_unsqueeze_infer_negative_indices(self):
  84         unsq_dims = np.array([-1])
  85         graph = build_graph(self.nodes_attributes,
  86                             [('data_1', 'unsq'),
  87                              ('unsq_dims_const', 'unsq_dims'),
  88                              ('unsq_dims', 'unsq'),
  89                              ('unsq', 'data_2')],
  90                             {'data_1': {'shape': np.array([2, 3, 64, 64])},
  91                              'unsq_dims': {'value': unsq_dims, 'shape': unsq_dims.shape},
  92                              'unsq_dims_const': {'value': unsq_dims, 'shape': unsq_dims.shape},
  93                              })
  94
  95         graph_ref = build_graph(self.nodes_attributes,
  96                                 [('data_1', 'unsq'),
  97                                  ('unsq_dims_const', 'unsq_dims'),
  98                                  ('unsq_dims', 'unsq'),
  99                                  ('unsq', 'data_2')],
 100                                 {'data_1': {'shape': np.array([2, 3, 64, 64])},
 101                                  'unsq_dims': {'value': int64_array([4]), 'shape': unsq_dims.shape},
 102                                  'unsq_dims_const': {'value': int64_array([4]), 'shape': unsq_dims.shape},
 103                                  'data_2': {'shape': np.array([2, 3, 64, 64, 1])},
 104                                  })
 105
 106         unsqueeze_node = Node(graph, 'unsq')
 107         Unsqueeze.infer(unsqueeze_node)
 108
 109         (flag, resp) = compare_graphs(graph, graph_ref, 'data_2')
 110         self.assertTrue(flag, resp)