model-optimizer/extensions/middle/TensorIteratorInput_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 import unittest
  17
  18 import numpy as np
  19
  20 from extensions.middle.TensorIteratorInput import SmartInputMatcher, SimpleInputMatcher, BackEdgeSimpleInputMatcher
  21 from mo.utils.unittest.graph import build_graph_with_attrs, compare_graphs
  22
  23
  24 class SmartInputMatcherTests(unittest.TestCase):
  25     def test(self):
  26         pattern_matcher = SmartInputMatcher()
  27         pattern = pattern_matcher.pattern()
  28
  29         graph = build_graph_with_attrs(nodes_with_attrs=pattern['nodes'], edges_with_attrs=pattern['edges'],
  30                                        update_edge_attrs={('range_data', 'TensorArrayScatter', 0): {'in': 1},
  31                                                           ('TensorArray_handle', 'TensorArrayScatter', 0): {'in': 0},
  32                                                           ('TensorArray_flow', 'TensorArrayScatter', 0): {'in': 3}},
  33                                        new_nodes_with_attrs=[('ta_size', {'kind': 'data'}),
  34                                                              ('ta_size_op', {'kind': 'op'}),
  35                                                              ('value', {'kind': 'data'}),
  36                                                              ],
  37                                        new_edges_with_attrs=[
  38                                            ('ta_size_op', 'ta_size'),
  39                                            ('ta_size', 'TensorArray'),
  40                                            ('value', 'TensorArrayScatter', {'in':2}),
  41                                                              ],
  42                                        update_nodes_attributes=[('Enter_data', {'value': np.array([1])}),
  43                                                                 ('stack_data', {'value': np.array([0])}),
  44                                                                 ('stack_1_data', {'value': np.array([1])}),
  45                                                                 ('stack_2_data', {'value': np.array([1])}),
  46                                                                 ('start_data', {'value': np.array([0])}),
  47                                                                 ('delta_data', {'value': np.array([1])})
  48                                                                 ])
  49
  50         pattern_matcher.find_and_replace_pattern(graph)
  51         graph_ref = build_graph_with_attrs(
  52             nodes_with_attrs=[('condition_data', {'kind': 'data'}),
  53                               ('TensorIteratorInput', {'kind': 'op', 'op': 'TensorIteratorInput'}),
  54                               ('TensorArrayRead_data', {'kind': 'data'}),
  55                               ('condition_data', {'kind': 'data'}),
  56                               ('value', {'kind': 'data'}),
  57                               ('ta_size', {'kind': 'data'}),
  58                               ('ta_size_op', {'kind': 'op'})],
  59             edges_with_attrs=[('ta_size', 'TensorIteratorInput', {'in': 0}),
  60                               ('condition_data', 'TensorIteratorInput', {'in': 2}),
  61                               ('value', 'TensorIteratorInput', {'in': 1}),
  62                               ('TensorIteratorInput', 'TensorArrayRead_data'),
  63                               ('ta_size_op', 'ta_size')],
  64             update_edge_attrs=None,
  65             new_nodes_with_attrs=[],
  66             new_edges_with_attrs=[],
  67             )
  68         (flag, resp) = compare_graphs(graph, graph_ref, 'TensorArrayRead_data', check_op_attrs=True)
  69         self.assertTrue(flag, resp)
  70
  71
  72 class SimpleInputMatcherTest(unittest.TestCase):
  73     def test(self):
  74         pattern_matcher = SimpleInputMatcher()
  75         pattern = pattern_matcher.pattern()
  76
  77         graph = build_graph_with_attrs(nodes_with_attrs=pattern['nodes'], edges_with_attrs=pattern['edges'],
  78                                        update_edge_attrs=None,
  79                                        new_nodes_with_attrs=[('in_node', {'kind': 'data'}),
  80                                                              ('Enter_data', {'kind': 'data'})],
  81                                        new_edges_with_attrs=[('in_node', 'Enter'), ('Enter', 'Enter_data')],
  82                                        update_nodes_attributes=[])
  83
  84         pattern_matcher.find_and_replace_pattern(graph)
  85
  86         graph_ref = build_graph_with_attrs(
  87             nodes_with_attrs=[('TensorIteratorInput', {'kind': 'op', 'op': 'TensorIteratorInput'}),
  88                               ('in_node', {'kind': 'data'}),
  89                               ('Enter_data', {'kind': 'data'})
  90                               ],
  91             edges_with_attrs=[('in_node', 'TensorIteratorInput'), ('TensorIteratorInput', 'Enter_data')],
  92         )
  93         (flag, resp) = compare_graphs(graph, graph_ref, 'Enter_data', check_op_attrs=True)
  94         self.assertTrue(flag, resp)
  95
  96
  97 class BackEdgeInputMatcherTest(unittest.TestCase):
  98     def test1(self):
  99         """
 100         Case with constant input to init
 101         """
 102         pattern_matcher = BackEdgeSimpleInputMatcher()
 103         pattern = pattern_matcher.pattern()
 104
 105         graph = build_graph_with_attrs(nodes_with_attrs=pattern['nodes'], edges_with_attrs=pattern['edges'],
 106                                        new_nodes_with_attrs=[('cycle_data', {'kind': 'data'}),
 107                                                              ('condition', {'kind': 'data'}),
 108                                                              ('init', {'kind': 'data', 'shape': np.array([1,3])}),
 109                                                              ],
 110                                        new_edges_with_attrs=[('condition', 'BackEdge', {'in': 2}),
 111                                                              ('init', 'BackEdge', {'in': 0}),
 112                                                              ('cycle_data', 'BackEdge', {'in': 1})],)
 113
 114         pattern_matcher.find_and_replace_pattern(graph)
 115         graph_ref = build_graph_with_attrs(nodes_with_attrs=pattern['nodes'], edges_with_attrs=pattern['edges'],
 116                                        new_nodes_with_attrs=[('cycle_data', {'kind': 'data'}),
 117                                                              ('condition', {'kind': 'data'}),
 118                                                              ('init', {'kind': 'data', 'shape': np.array([1,3])}),
 119                                                              ('TensorIteratorInput', {'kind': 'op', 'op': 'TensorIteratorInput'}),
 120                                                              ('TensorIteratorInput_data', {'kind': 'data', 'shape': np.array([1,3])}),
 121                                                              ],
 122                                        new_edges_with_attrs=[('TensorIteratorInput_data', 'TensorIteratorInput'),
 123                                                              ('TensorIteratorInput', 'init'),
 124                                                             ('condition', 'BackEdge', {'in': 2}),
 125                                                              ('init', 'BackEdge', {'in': 0}),
 126                                                              ('cycle_data', 'BackEdge', {'in': 1})],)
 127         (flag, resp) = compare_graphs(graph, graph_ref, 'BackEdge', check_op_attrs=True)
 128         self.assertTrue(flag, resp)
 129
 130     def test2(self):
 131         """
 132         Case with non-constant input to init.
 133         Nothing should happen with graph.
 134         """
 135         pattern_matcher = BackEdgeSimpleInputMatcher()
 136         pattern = pattern_matcher.pattern()
 137
 138         graph = build_graph_with_attrs(nodes_with_attrs=pattern['nodes'], edges_with_attrs=pattern['edges'],
 139                                        new_nodes_with_attrs=[('cycle_data', {'kind': 'data'}),
 140                                                              ('condition', {'kind': 'data'}),
 141                                                              ('init', {'kind': 'data', 'shape': np.array([1, 3])}),
 142                                                              ('Enter', {'kind': 'op', 'op': 'Enter'}),
 143                                                              ],
 144                                        new_edges_with_attrs=[('Enter', 'init'),
 145                                                              ('condition', 'BackEdge', {'in': 2}),
 146                                                              ('init', 'BackEdge', {'in': 0}),
 147                                                              ('cycle_data', 'BackEdge', {'in': 1})])
 148
 149         pattern_matcher.find_and_replace_pattern(graph)
 150
 151         graph_ref = build_graph_with_attrs(nodes_with_attrs=pattern['nodes'], edges_with_attrs=pattern['edges'],
 152                                        new_nodes_with_attrs=[('cycle_data', {'kind': 'data'}),
 153                                                              ('condition', {'kind': 'data'}),
 154                                                              ('init', {'kind': 'data', 'shape': np.array([1, 3])}),
 155                                                              ('Enter', {'kind': 'op', 'op': 'Enter'}),
 156                                                              ],
 157                                        new_edges_with_attrs=[('Enter', 'init'),
 158                                                              ('condition', 'BackEdge', {'in': 2}),
 159                                                              ('init', 'BackEdge', {'in': 0}),
 160                                                              ('cycle_data', 'BackEdge', {'in': 1})], )
 161
 162         (flag, resp) = compare_graphs(graph, graph_ref, 'BackEdge', check_op_attrs=True)
 163         self.assertTrue(flag, resp)