model-optimizer/extensions/ops/interp_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 extensions.ops.interp import InterpOp
  22 from mo.graph.graph import Node
  23 from mo.utils.unittest.graph import build_graph
  24
  25 nodes_attributes = {'node_1': {'type': 'Identity', 'kind': 'op'},
  26                     'node_2': {'type': 'Identity', 'value': None, 'kind': 'data'},
  27                     'interp': {'type': 'Interp', 'kind': 'op', 'factor': None, 'parse_2nd_input': 'value'},
  28                     'node_3': {'type': 'Identity', 'shape': None, 'value': None, 'kind': 'data'},
  29                     'op_output': { 'kind': 'op', 'op': 'OpOutput'}
  30                     }
  31
  32
  33 class TestInterpOp(unittest.TestCase):
  34     def test_caffe_interp_infer_shrink(self):
  35         graph = build_graph(nodes_attributes,
  36                             [('node_1', 'interp'),
  37                              ('interp', 'node_3'),
  38                              ('node_3', 'op_output')
  39                              ],
  40                             {'node_3': {'shape': None},
  41                              'node_1': {'shape': np.array([1, 3, 1025, 2049])},
  42                              'interp': {'shrink_factor': 2,
  43                                         'height': 0,
  44                                         'width': 0,
  45                                         'zoom_factor': 1,
  46                                         'pad_beg': 0,
  47                                         'pad_end': 0}
  48                              })
  49         graph.graph['layout'] = 'NCHW'
  50
  51         interp_node = Node(graph, 'interp')
  52         InterpOp.interp_infer(interp_node)
  53         exp_shape = np.array([1, 3, 513, 1025])
  54         res_shape = graph.node['node_3']['shape']
  55         for i in range(0, len(exp_shape)):
  56             self.assertEqual(exp_shape[i], res_shape[i])
  57
  58     def test_caffe_interp_infer_wh(self):
  59         graph = build_graph(nodes_attributes,
  60                             [('node_1', 'interp'),
  61                              ('interp', 'node_3'),
  62                              ('node_3', 'op_output')
  63                              ],
  64                             {'node_3': {'shape': None},
  65                              'node_1': {'shape': np.array([1, 1024, 1, 1])},
  66                              'interp': {'width': 65,
  67                                         'height': 33,
  68                                         'zoom_factor': 1,
  69                                         'shrink_factor': 1,
  70                                         'pad_beg': 0,
  71                                         'pad_end': 0}
  72                              })
  73         graph.graph['layout'] = 'NCHW'
  74
  75         interp_node = Node(graph, 'interp')
  76         InterpOp.interp_infer(interp_node)
  77         exp_shape = np.array([1, 1024, 33, 65])
  78         res_shape = graph.node['node_3']['shape']
  79         for i in range(0, len(exp_shape)):
  80             self.assertEqual(exp_shape[i], res_shape[i])
  81
  82     def test_caffe_interp_infer_zoom(self):
  83         graph = build_graph(nodes_attributes,
  84                             [('node_1', 'interp'),
  85                              ('interp', 'node_3'),
  86                              ('node_3', 'op_output')
  87                              ],
  88                             {'node_3': {'shape': None},
  89                              'node_1': {'shape': np.array([1, 256, 33, 65])},
  90                              'interp': {'zoom_factor': 2,
  91                                         'height': 0,
  92                                         'width': 0,
  93                                         'shrink_factor': 1,
  94                                         'pad_beg': 0,
  95                                         'pad_end': 0}
  96                              })
  97         graph.graph['layout'] = 'NCHW'
  98
  99         interp_node = Node(graph, 'interp')
 100         InterpOp.interp_infer(interp_node)
 101         exp_shape = np.array([1, 256, 66, 130])
 102         res_shape = graph.node['node_3']['shape']
 103         for i in range(0, len(exp_shape)):
 104             self.assertEqual(exp_shape[i], res_shape[i])
 105
 106     def test_caffe_interp_infer_zoom_shrink(self):
 107         graph = build_graph(nodes_attributes,
 108                             [('node_1', 'interp'),
 109                              ('interp', 'node_3'),
 110                              ('node_3', 'op_output')
 111                              ],
 112                             {'node_3': {'shape': None},
 113                              'node_1': {'shape': np.array([1, 256, 33, 65])},
 114                              'interp': {'zoom_factor': 2,
 115                                         'height': 0,
 116                                         'width': 0,
 117                                         'shrink_factor': 2,
 118                                         'pad_beg': 0,
 119                                         'pad_end': 0}
 120                              })
 121         graph.graph['layout'] = 'NCHW'
 122
 123         interp_node = Node(graph, 'interp')
 124         InterpOp.interp_infer(interp_node)
 125         exp_shape = np.array([1, 256, 33, 65])
 126         res_shape = graph.node['node_3']['shape']
 127         for i in range(0, len(exp_shape)):
 128             self.assertEqual(exp_shape[i], res_shape[i])
 129
 130     def test_caffe_interp_infer_zoom_shrink_error(self):
 131         graph = build_graph(nodes_attributes,
 132                             [('node_1', 'interp'),
 133                              ('interp', 'node_3'),
 134                              ('node_3', 'op_output')
 135                              ],
 136                             {'node_3': {'shape': None},
 137                              'node_1': {'shape': np.array([1, 256, 33, 65])},
 138                              'interp': {'zoom_factor': 0,
 139                                         'height': 0,
 140                                         'width': 0,
 141                                         'shrink_factor': 0,
 142                                         'pad_beg': 0,
 143                                         'pad_end': 0}
 144                              })
 145         graph.graph['layout'] = 'NCHW'
 146
 147         interp_node = Node(graph, 'interp')
 148         InterpOp.interp_infer(interp_node)
 149         self.assertIsNone(graph.node['node_3']['shape'])
 150
 151     def test_caffe_interp_infer_zoom_default(self):
 152         graph = build_graph(nodes_attributes,
 153                             [('node_1', 'interp'),
 154                              ('interp', 'node_3'),
 155                              ('node_3', 'op_output')
 156                              ],
 157                             {'node_3': {'shape': None},
 158                              'node_1': {'shape': np.array([1, 256, 33, 65])},
 159                              'interp': {'zoom_factor': 1,
 160                                         'height': 0,
 161                                         'width': 0,
 162                                         'shrink_factor': 1,
 163                                         'pad_beg': 0,
 164                                         'pad_end': 0
 165                                         }
 166                              })
 167         graph.graph['layout'] = 'NCHW'
 168
 169         interp_node = Node(graph, 'interp')
 170         InterpOp.interp_infer(interp_node)
 171         exp_shape = np.array([1, 256, 33, 65])
 172         res_shape = graph.node['node_3']['shape']
 173         for i in range(0, len(exp_shape)):
 174             self.assertEqual(exp_shape[i], res_shape[i])
 175
 176     def test_caffe_interp_2_blobs(self):
 177         graph = build_graph(nodes_attributes,
 178                             [('node_1', 'interp'),
 179                              ('node_2', 'interp'),
 180                              ('interp', 'node_3'),
 181                              ('node_3', 'op_output')
 182                              ],
 183                             {'node_3': {'shape': None},
 184                              'node_1': {'shape': np.array([1, 256, 33, 66])},
 185                              'node_2': {'shape': np.array([1, 1, 3, 6])},
 186                              'interp': {'zoom_factor': 1,
 187                                         'shrink_factor': 1,
 188                                         'pad_beg': 0,
 189                                         'pad_end': 0,
 190                                         'parse_2nd_input': 'shape',
 191                                         }
 192                              })
 193         graph.graph['layout'] = 'NCHW'
 194
 195         interp_node = Node(graph, 'interp')
 196         InterpOp.interp_infer(interp_node)
 197         exp_shape = np.array([1, 256, 3, 6])
 198         res_shape = graph.node['node_3']['shape']
 199         for i in range(0, len(exp_shape)):
 200             self.assertEqual(exp_shape[i], res_shape[i])
 201
 202     def test_tf_interp_infer_two_inputs(self):
 203
 204         graph = build_graph(nodes_attributes,
 205                             [('node_1', 'interp'),
 206                              ('node_2', 'interp'),
 207                              ('interp', 'node_3')],
 208                             {'node_1': {'shape': np.array([1, 20, 30, 100])},
 209                              'node_2': {'shape': np.array([2]), 'value': np.array([2, 3])}})
 210         graph.graph['layout'] = 'NHWC'
 211         interp_node = Node(graph, 'interp')
 212         InterpOp.interp_infer(interp_node)
 213         exp_shape = np.array([1, 2, 3, 100])
 214         res_shape = graph.node['node_3']['shape']
 215         for i in range(0, len(exp_shape)):
 216             self.assertEqual(exp_shape[i], res_shape[i])
 217
 218     def test_tf_interp_infer_one_input_hw(self):
 219         graph = build_graph(nodes_attributes,
 220                             [('node_1', 'interp'),
 221                              ('interp', 'node_3')],
 222                             {'node_1': {'shape': np.array([1, 20, 30, 100])},
 223                              'interp': {'height': 4, 'width': 6, 'pad_beg': 0, 'pad_end': 0, 'zoom_factor': None,
 224                                         'shrink_factor': None}})
 225         graph.graph['layout'] = 'NHWC'
 226         interp_node = Node(graph, 'interp')
 227         InterpOp.interp_infer(interp_node)
 228         exp_shape = np.array([1, 4, 6, 100])
 229         res_shape = graph.node['node_3']['shape']
 230         for i in range(0, len(exp_shape)):
 231             self.assertEqual(exp_shape[i], res_shape[i])