model-optimizer/extensions/ops/argmax_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.argmax import ArgMaxOp
  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                     'argmax': {'type': 'ArgMax', 'kind': 'op'},
  27                     'node_3': {'type': 'Identity', 'kind': 'op'},
  28                     'op_output': { 'kind': 'op', 'op': 'OpOutput'}
  29                     }
  30
  31
  32 class TestArgMaxOp(unittest.TestCase):
  33     def test_caffe_argmax_axis(self):
  34         graph = build_graph(nodes_attributes,
  35                             [('node_1', 'argmax'),
  36                              ('argmax', 'node_3'),
  37                              ('node_3', 'op_output')
  38                              ],
  39                             {'node_3': {'shape': None},
  40                              'node_1': {'shape': np.array([1, 3, 1025, 2049])},
  41                              'argmax': {
  42                                  'out_max_val': True,
  43                                  'top_k': 100,
  44                                  'axis': 2
  45                              }
  46                              })
  47
  48         argmax_node = Node(graph, 'argmax')
  49         ArgMaxOp.argmax_infer(argmax_node)
  50         exp_shape = np.array([1, 3, 100, 2049])
  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     def test_caffe_argmax_axis_negative(self):
  56         graph = build_graph(nodes_attributes,
  57                             [('node_1', 'argmax'),
  58                              ('argmax', 'node_3'),
  59                              ('node_3', 'op_output')
  60                              ],
  61                             {'node_3': {'shape': None},
  62                              'node_1': {'shape': np.array([1, 3, 1025, 2049])},
  63                              'argmax': {
  64                                  'out_max_val': True,
  65                                  'top_k': 100,
  66                                  'axis': -1
  67                              }
  68                              })
  69
  70         argmax_node = Node(graph, 'argmax')
  71         ArgMaxOp.argmax_infer(argmax_node)
  72         exp_shape = np.array([1, 3, 1025, 100])
  73         res_shape = graph.node['node_3']['shape']
  74         self.assertEqual(argmax_node.axis, 3)
  75         for i in range(0, len(exp_shape)):
  76             self.assertEqual(exp_shape[i], res_shape[i])
  77
  78     def test_caffe_argmax_no_axis(self):
  79         graph = build_graph(nodes_attributes,
  80                             [('node_1', 'argmax'),
  81                              ('argmax', 'node_3'),
  82                              ('node_3', 'op_output')
  83                              ],
  84                             {'node_3': {'shape': None},
  85                              'node_1': {'shape': np.array([1, 3, 1025, 2049])},
  86                              'argmax': {
  87                                  'out_max_val': True,
  88                                  'top_k': 100
  89                              }
  90                              })
  91
  92         argmax_node = Node(graph, 'argmax')
  93         ArgMaxOp.argmax_infer(argmax_node)
  94         exp_shape = np.array([1, 2, 100, 1])
  95         res_shape = graph.node['node_3']['shape']
  96         for i in range(0, len(exp_shape)):
  97             self.assertEqual(exp_shape[i], res_shape[i])
  98
  99     def test_caffe_argmax_extend_shape(self):
 100         graph = build_graph(nodes_attributes,
 101                             [('node_1', 'argmax'),
 102                              ('argmax', 'node_3'),
 103                              ('node_3', 'op_output')
 104                              ],
 105                             {'node_3': {'shape': None},
 106                              'node_1': {'shape': np.array([1, 3])},
 107                              'argmax': {
 108                                  'out_max_val': True,
 109                                  'top_k': 100
 110                              }
 111                              })
 112
 113         argmax_node = Node(graph, 'argmax')
 114         ArgMaxOp.argmax_infer(argmax_node)
 115         exp_shape = np.array([1, 2, 100])
 116         res_shape = graph.node['node_3']['shape']
 117         for i in range(0, len(exp_shape)):
 118             self.assertEqual(exp_shape[i], res_shape[i])
 119
 120     def test_caffe_argmax_out_max_val_false(self):
 121         graph = build_graph(nodes_attributes,
 122                             [('node_1', 'argmax'),
 123                              ('argmax', 'node_3'),
 124                              ('node_3', 'op_output')
 125                              ],
 126                             {'node_3': {'shape': None},
 127                              'node_1': {'shape': np.array([1, 3])},
 128                              'argmax': {
 129                                  'out_max_val': False,
 130                                  'top_k': 100
 131                              }
 132                              })
 133
 134         argmax_node = Node(graph, 'argmax')
 135         ArgMaxOp.argmax_infer(argmax_node)
 136         exp_shape = np.array([1, 1, 100])
 137         res_shape = graph.node['node_3']['shape']
 138         for i in range(0, len(exp_shape)):
 139             self.assertEqual(exp_shape[i], res_shape[i])
 140
 141     def test_caffe_argmax_no_shape(self):
 142         graph = build_graph(nodes_attributes,
 143                             [('node_1', 'argmax'),
 144                              ('argmax', 'node_3'),
 145                              ('node_3', 'op_output')
 146                              ],
 147                             {'node_3': {'shape': None},
 148                              'node_1': {'shape': None},
 149                              'argmax': {
 150                                  'out_max_val': False,
 151                                  'top_k': 100
 152                              }
 153                              })
 154
 155         argmax_node = Node(graph, 'argmax')
 156         ArgMaxOp.argmax_infer(argmax_node)
 157         res_shape = graph.node['node_3']['shape']
 158         self.assertIsNone(res_shape)