model-optimizer/mo/front/common/partial_infer/expand_dims_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
  21 from mo.front.common.partial_infer.expand_dims import tf_expand_dims_infer
  22 from mo.graph.graph import Node
  23 from mo.utils.unittest.graph import build_graph
  24
  25 nodes_attributes = {'input_1': {'kind': 'data', 'value': None},
  26                     'input_2': {'kind': 'data', 'value': None},
  27                     'expand_dims': {'kind': 'op'},
  28                     'out': {'value': None, 'shape': None, 'kind': 'data'}
  29                     }
  30
  31
  32 class TestExpandDimsInfer(unittest.TestCase):
  33     def test_expand_dims_infer_two_inputs(self):
  34         graph = build_graph(nodes_attributes,
  35                             [('input_1', 'expand_dims'),
  36                              ('input_2', 'expand_dims'),
  37                              ('expand_dims', 'out')],
  38                             {'input_1': {'shape': np.array([3, 256, 256])},
  39                              'input_2': {'shape': np.array([1]), 'value': np.array([1], dtype=np.int32)},
  40                              })
  41
  42         expand_dims_node = Node(graph, 'expand_dims')
  43
  44         tf_expand_dims_infer(expand_dims_node)
  45         exp_shape = np.array([3, 1, 256, 256])
  46         res_shape = expand_dims_node.out_node().shape
  47         self.assertEqual(len(exp_shape), len(res_shape))
  48         for i in range(0, len(exp_shape)):
  49             self.assertEqual(exp_shape[i], res_shape[i])
  50
  51     def test_expand_dims_infer_two_inputs_2(self):
  52         graph = build_graph(nodes_attributes,
  53                             [('input_1', 'expand_dims'),
  54                              ('input_2', 'expand_dims'),
  55                              ('expand_dims', 'out')],
  56                             {'input_1': {'shape': np.array([3, 256, 256])},
  57                              'input_2': {'shape': np.array([1]), 'value': np.array([2], dtype=np.int32)},
  58                              })
  59
  60         expand_dims_node = Node(graph, 'expand_dims')
  61
  62         tf_expand_dims_infer(expand_dims_node)
  63         exp_shape = np.array([3, 256, 1, 256])
  64         res_shape = expand_dims_node.out_node().shape
  65         self.assertEqual(len(exp_shape), len(res_shape))
  66         for i in range(0, len(exp_shape)):
  67             self.assertEqual(exp_shape[i], res_shape[i])
  68
  69     def test_expand_dims_infer_two_inputs_3(self):
  70         graph = build_graph(nodes_attributes,
  71                             [('input_1', 'expand_dims'),
  72                              ('input_2', 'expand_dims'),
  73                              ('expand_dims', 'out')],
  74                             {'input_1': {'shape': np.array([3, 256, 256])},
  75                              'input_2': {'shape': np.array([]), 'value': np.array(3, dtype=np.int32)},
  76                              })
  77
  78         expand_dims_node = Node(graph, 'expand_dims')
  79
  80         tf_expand_dims_infer(expand_dims_node)
  81         exp_shape = np.array([3, 256, 256, 1])
  82         res_shape = expand_dims_node.out_node().shape
  83         self.assertEqual(len(exp_shape), len(res_shape))
  84         for i in range(0, len(exp_shape)):
  85             self.assertEqual(exp_shape[i], res_shape[i])
  86
  87     def test_expand_dims_infer_two_inputs_negative(self):
  88         graph = build_graph(nodes_attributes,
  89                             [('input_1', 'expand_dims'),
  90                              ('input_2', 'expand_dims'),
  91                              ('expand_dims', 'out')],
  92                             {'input_1': {'shape': np.array([3, 256, 256])},
  93                              'input_2': {'shape': np.array([1]), 'value': np.array([2, 3], dtype=np.int32)},
  94                              })
  95
  96         expand_dims_node = Node(graph, 'expand_dims')
  97
  98         tf_expand_dims_infer(expand_dims_node)
  99         self.assertIsNone(expand_dims_node.out_node().shape)
 100
 101     def test_expand_dims_infer_two_inputs_negative_2(self):
 102         graph = build_graph(nodes_attributes,
 103                             [('input_1', 'expand_dims'),
 104                              ('input_2', 'expand_dims'),
 105                              ('expand_dims', 'out')],
 106                             {'input_1': {'shape': None},
 107                              'input_2': {'shape': np.array([1]), 'value': np.array([2, 3], dtype=np.int32)},
 108                              })
 109
 110         expand_dims_node = Node(graph, 'expand_dims')
 111
 112         tf_expand_dims_infer(expand_dims_node)
 113         self.assertIsNone(expand_dims_node.out_node().shape)
 114
 115     def test_expand_dims_infer_one_input(self):
 116         graph = build_graph(nodes_attributes,
 117                             [('input_1', 'expand_dims'),
 118                              ('expand_dims', 'out')],
 119                             {'input_1': {'shape': np.array([3, 256, 256])},
 120                              'expand_dims': {'expand_axis': 1}
 121                              })
 122
 123         expand_dims_node = Node(graph, 'expand_dims')
 124
 125         tf_expand_dims_infer(expand_dims_node)
 126         exp_shape = np.array([3, 1, 256, 256])
 127         res_shape = expand_dims_node.out_node().shape
 128         self.assertEqual(len(exp_shape), len(res_shape))
 129         for i in range(0, len(exp_shape)):
 130             self.assertEqual(exp_shape[i], res_shape[i])
 131
 132     def test_expand_dims_infer_one_input_2(self):
 133         graph = build_graph(nodes_attributes,
 134                             [('input_1', 'expand_dims'),
 135                              ('expand_dims', 'out')],
 136                             {'input_1': {'shape': np.array([3, 256, 256])},
 137                              'expand_dims': {'expand_axis': 2}
 138                              })
 139
 140         expand_dims_node = Node(graph, 'expand_dims')
 141
 142         tf_expand_dims_infer(expand_dims_node)
 143         exp_shape = np.array([3, 256, 1, 256])
 144         res_shape = expand_dims_node.out_node().shape
 145         self.assertEqual(len(exp_shape), len(res_shape))
 146         for i in range(0, len(exp_shape)):
 147             self.assertEqual(exp_shape[i], res_shape[i])
 148
 149     def test_expand_dims_infer_one_input_3(self):
 150         graph = build_graph(nodes_attributes,
 151                             [('input_1', 'expand_dims'),
 152                              ('expand_dims', 'out')],
 153                             {'input_1': {'shape': np.array([3, 256, 256])},
 154                              'expand_dims': {'expand_axis': -1}
 155                              })
 156
 157         expand_dims_node = Node(graph, 'expand_dims')
 158
 159         tf_expand_dims_infer(expand_dims_node)
 160         exp_shape = np.array([3, 256, 256, 1])
 161         res_shape = expand_dims_node.out_node().shape
 162         self.assertEqual(len(exp_shape), len(res_shape))
 163         for i in range(0, len(exp_shape)):
 164             self.assertEqual(exp_shape[i], res_shape[i])
 165
 166     def test_expand_dims_infer_one_input_4(self):
 167         graph = build_graph(nodes_attributes,
 168                             [('input_1', 'expand_dims'),
 169                              ('expand_dims', 'out')],
 170                             {'input_1': {'shape': np.array([3, 256, 256])},
 171                              'expand_dims': {'expand_axis': -2}
 172                              })
 173
 174         expand_dims_node = Node(graph, 'expand_dims')
 175
 176         tf_expand_dims_infer(expand_dims_node)
 177         exp_shape = np.array([3, 256, 1, 256])
 178         res_shape = expand_dims_node.out_node().shape
 179         self.assertEqual(len(exp_shape), len(res_shape))
 180         for i in range(0, len(exp_shape)):
 181             self.assertEqual(exp_shape[i], res_shape[i])
 182
 183     def test_expand_dims_infer_one_input_negative(self):
 184         graph = build_graph(nodes_attributes,
 185                             [('input_1', 'expand_dims'),
 186                              ('expand_dims', 'out')],
 187                             {'input_1': {'shape': np.array([3, 256, 256])},
 188                              'expand_dims': {'expand_axis': None}
 189                              })
 190
 191         expand_dims_node = Node(graph, 'expand_dims')
 192
 193         tf_expand_dims_infer(expand_dims_node)
 194         self.assertIsNone(expand_dims_node.out_node().shape)