model-optimizer/mo/front/common/partial_infer/crop_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.crop import crop_infer
  22 from mo.graph.graph import Node
  23 from mo.utils.unittest.graph import build_graph
  24
  25 nodes_attributes = {'node_1': {'value': None, 'kind': 'data'},
  26                     'node_2': {'value': None, 'kind': 'data'},
  27                     'crop_1': {'type': 'Crop', 'kind': 'op'},
  28                     'node_3': {'value': None, 'kind': 'data'},
  29                     'op_output': { 'kind': 'op', 'op': 'OpOutput'}
  30                     }
  31
  32
  33 class TestCropInfer(unittest.TestCase):
  34     def test_crop_infer_ideal(self):
  35         graph = build_graph(nodes_attributes,
  36                             [('node_1', 'crop_1'),
  37                              ('node_2', 'crop_1'),
  38                              ('crop_1', 'node_3'),
  39                              ('node_3', 'op_output')
  40                              ],
  41                             {'node_3': {'shape': None},
  42                              'node_1': {'shape': np.array([1, 2, 500, 500])},
  43                              'node_2': {'shape': np.array([1, 2, 256, 256])},
  44                              'crop_1': {'axis': 2, 'offset': [0, 0], 'dim': None}
  45                              })
  46
  47         crop_node = Node(graph, 'crop_1')
  48
  49         crop_infer(crop_node)
  50         exp_shape = np.array([1, 2, 256, 256])
  51         res_shape = graph.node['node_3']['shape']
  52         for i in range(0, len(exp_shape)):
  53             self.assertEqual(exp_shape[i], res_shape[i])
  54
  55         self.assertEqual(crop_node.axis, [2, 3])
  56         self.assertEqual(crop_node.offset, [0, 0])
  57         self.assertEqual(crop_node.dim, [256, 256])
  58
  59     def test_crop_infer_negative_axis(self):
  60         graph = build_graph(nodes_attributes,
  61                             [('node_1', 'crop_1'),
  62                              ('node_2', 'crop_1'),
  63                              ('crop_1', 'node_3'),
  64                              ('node_3', 'op_output')
  65                              ],
  66                             {'node_3': {'shape': None},
  67                              'node_1': {'shape': np.array([1, 2, 500, 500])},
  68                              'node_2': {'shape': np.array([1, 2, 256, 256])},
  69                              'crop_1': {'axis': -1, 'offset': [0, 0], 'dim': None}
  70                              })
  71
  72         crop_node = Node(graph, 'crop_1')
  73
  74         crop_infer(crop_node)
  75         exp_shape = np.array([1, 2, 500, 256])
  76         res_shape = graph.node['node_3']['shape']
  77         for i in range(0, len(exp_shape)):
  78             self.assertEqual(exp_shape[i], res_shape[i])
  79
  80         self.assertEqual(crop_node.axis, [3])
  81         self.assertEqual(crop_node.offset, [0])
  82         self.assertEqual(crop_node.dim, [256])
  83
  84     def test_crop_infer_no_shape(self):
  85         graph = build_graph(nodes_attributes,
  86                             [('node_1', 'crop_1'),
  87                              ('node_2', 'crop_1'),
  88                              ('crop_1', 'node_3'),
  89                              ('node_3', 'op_output')
  90                              ],
  91                             {'node_3': {'shape': None},
  92                              'node_1': {'shape': np.array([1, 2, 500, 500])},
  93                              'node_2': {'shape': None},
  94                              'crop_1': {'axis': 2, 'offset': [0, 0], 'dim': None}
  95                              })
  96
  97         crop_node = Node(graph, 'crop_1')
  98
  99         crop_infer(crop_node)
 100         self.assertIsNone(graph.node['node_3']['shape'])
 101
 102     def test_crop_infer_one_shape(self):
 103         graph = build_graph(nodes_attributes,
 104                             [('node_1', 'crop_1'),
 105                              ('crop_1', 'node_3'),
 106                              ('node_3', 'op_output')
 107                              ],
 108                             {'node_3': {'shape': None},
 109                              'node_1': {'shape': np.array([1, 2, 500, 500])},
 110                              'crop_1': {'axis': 2, 'offset': [0], 'dim': None}
 111                              })
 112
 113         crop_node = Node(graph, 'crop_1')
 114
 115         crop_infer(crop_node)
 116         self.assertIsNone(graph.node['node_3']['shape'])
 117
 118     def test_crop_infer_out_offset(self):
 119         graph = build_graph(nodes_attributes,
 120                             [('node_1', 'crop_1'),
 121                              ('node_2', 'crop_1'),
 122                              ('crop_1', 'node_3'),
 123                              ('node_3', 'op_output')
 124                              ],
 125                             {'node_3': {'shape': None},
 126                              'node_1': {'shape': np.array([1, 2, 500, 500])},
 127                              'node_2': {'shape': np.array([1, 2, 256, 256])},
 128                              'crop_1': {'axis': 2, 'offset': [300], 'dim': None}
 129                              })
 130
 131         crop_node = Node(graph, 'crop_1')
 132
 133         crop_infer(crop_node)
 134         self.assertIsNone(graph.node['node_3']['shape'])