model-optimizer/extensions/middle/TensorIteratorCondition_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.TensorIteratorCondition import LoopConditionMatcher
  21 from mo.utils.unittest.graph import build_graph_with_attrs, compare_graphs
  22
  23
  24 class TensorIteratorConditionTests(unittest.TestCase):
  25     def test(self):
  26         pattern_matcher = LoopConditionMatcher()
  27         pattern = pattern_matcher.pattern()
  28
  29         graph = build_graph_with_attrs(nodes_with_attrs=pattern['nodes'], edges_with_attrs=pattern['edges'],
  30                                        new_nodes_with_attrs=[('maximum', {'kind': 'op', 'op': 'Maximum'}),
  31                                                              ('maximum_data', {'kind': 'data'}),
  32                                                              ('TensorIteratorInput', {'kind': 'op', 'op': 'TensorIteratorInput'})],
  33                                        new_edges_with_attrs=[('maximum', 'maximum_data'),
  34                                                              ('Identity_1_data', 'TensorIteratorInput')],
  35                                        update_nodes_attributes=[('init_1_data', {'value': np.array([0])}),
  36                                                                 ('init_2_data', {'value': np.array([0])}),
  37                                                                 ('add_1_y_data', {'value': np.array(1)}),
  38                                                                 ('add_2_y_data', {'value': np.array(1)}),
  39                                                                 ('loop_cond_data', {'value': None}),
  40                                                                 ('Identity_2_data', {'value': None}),
  41                                                                 ])
  42
  43         pattern_matcher.find_and_replace_pattern(graph)
  44         graph_ref = build_graph_with_attrs(
  45             nodes_with_attrs=[('TensorIteratorCondition', {'kind': 'op', 'op': 'TensorIteratorCondition'}),
  46                               ('loop_cond_data', {'kind': 'data'}),
  47                               ('identity_data', {'kind': 'data'}),
  48                               ('StridedSlice', {'kind': 'op', 'op':'StridedSlice'}),
  49                               ('StridedSlice_data', {'kind': 'data'}),
  50                               ('Maximum', {'kind': 'op', 'op': 'Maximum'}),
  51                               ('Maximum_data', {'kind': 'data'}),
  52                               ('minimum_data', {'kind': 'data'}),
  53                               ('TensorIteratorInput', {'kind': 'op', 'op': 'TensorIteratorInput'})
  54                               ],
  55             edges_with_attrs=[('Maximum', 'Maximum_data'),
  56                               ('StridedSlice', 'StridedSlice_data'),
  57                               ('StridedSlice_data', 'TensorIteratorCondition', {'in':0}),
  58                               ('minimum_data', 'TensorIteratorCondition', {'in':1}),
  59                               ('TensorIteratorCondition', 'loop_cond_data'),
  60                               ('TensorIteratorCondition', 'identity_data'),
  61                               ('identity_data', 'TensorIteratorInput'),
  62                               ],
  63             update_edge_attrs=None,
  64             new_nodes_with_attrs=[],
  65             new_edges_with_attrs=[],
  66             )
  67         (flag, resp) = compare_graphs(graph, graph_ref, 'loop_cond_data', check_op_attrs=True)
  68         self.assertTrue(flag, resp)