model-optimizer/extensions/back/PermuteForReshape_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.back.PermuteForReshape import PermuteForReshape
  21 from mo.graph.graph import Node
  22 from mo.ops.op import PermuteAttrs
  23 from mo.utils.unittest.graph import build_graph_with_attrs, compare_graphs
  24
  25
  26 class ReshapeToPermuteTest(unittest.TestCase):
  27     nodes = [
  28         ('input_data', {'kind': 'data', 'shape': None}),
  29         ('reshape', {'kind': 'op', 'op': 'Squeeze', 'type': 'Reshape', 'dim': None}),
  30         ('reshape_data', {'kind': 'data'}),
  31     ]
  32     edges = [
  33         ('input_data', 'reshape'),
  34         ('reshape', 'reshape_data'),
  35     ]
  36
  37     permute_nodes = [
  38         ('permute', {'kind': 'op', 'op': 'Permute'}),
  39         ('permute_data', {'kind': 'data', 'shape': None})
  40     ]
  41     permute_edges = [
  42         ('input_data', 'permute'),
  43         ('permute', 'permute_data'),
  44         ('permute_data', 'reshape'),
  45     ]
  46
  47     def test_from3D_to3D(self):
  48         input_shape = np.array([2, 3, 4])
  49         new_shape = np.array([2, 3, 4])
  50         graph = build_graph_with_attrs(
  51             nodes_with_attrs=self.nodes,
  52             edges_with_attrs=self.edges,
  53             update_nodes_attributes=[('input_data', {'shape': input_shape}),
  54                                      ('reshape', {'dim': new_shape}),
  55                                      ('reshape_data', {'shape': new_shape})]
  56         )
  57         graph.graph['layout'] = 'NHWC'
  58         # add permute attrs to reshape
  59         reshape = Node(graph, 'reshape')
  60         PermuteAttrs.create_permute_attrs(reshape, attrs=[('dim', 'output:0')])
  61
  62         tested_pattern = PermuteForReshape()
  63         tested_pattern.find_and_replace_pattern(graph)
  64         (flag, resp) = compare_graphs(graph, graph, last_node='reshape_data')
  65         self.assertTrue(flag, resp)
  66
  67     def test_from4D_to3D(self):
  68         input_shape = np.array([1, 2, 3, 4])
  69         new_shape = np.array([3, 4, 2])
  70         nhwc_shape = np.array([1, 3, 4, 2])
  71         graph = build_graph_with_attrs(
  72             nodes_with_attrs=self.nodes,
  73             edges_with_attrs=self.edges,
  74             update_nodes_attributes=[('input_data', {'shape': input_shape}),
  75                                      ('reshape', {'dim': new_shape}),
  76                                      ('reshape_data', {'shape': new_shape})]
  77         )
  78         graph.graph['layout'] = 'NHWC'
  79         # add permute attrs to reshape
  80         reshape = Node(graph, 'reshape')
  81         PermuteAttrs.create_permute_attrs(reshape, attrs=[('dim', 'output:0')])
  82
  83         tested_pattern = PermuteForReshape()
  84         tested_pattern.find_and_replace_pattern(graph)
  85         graph_ref = build_graph_with_attrs(
  86             nodes_with_attrs=self.nodes + self.permute_nodes,
  87             edges_with_attrs=self.edges[1:] + self.permute_edges,
  88             update_nodes_attributes=[('input_data', {'shape': input_shape}),
  89                                      ('reshape', {'dim': new_shape}),
  90                                      ('reshape_data', {'shape': new_shape}),
  91                                      ('permute_data', {'shape': nhwc_shape})]
  92         )
  93         # check graphs equality
  94         (flag, resp) = compare_graphs(graph, graph_ref, last_node='reshape_data')
  95         self.assertTrue(flag, resp)
  96
  97         # check righ order in new permutation node
  98         permute_order = graph.node['reshape/Permute_']['order']
  99         self.assertTrue(np.all(permute_order == np.array([0, 2, 3, 1]))) # from NCHW to NHWC
 100
 101     def test_from_5D_to_3D(self):
 102         input_shape = np.array([1, 2, 1, 3, 4]) #  NCDHW 1 1 3 4 2
 103         new_shape = np.array([3, 4, 2])
 104         nhwc_shape = np.array([1, 1, 3, 4, 2])
 105         graph = build_graph_with_attrs(
 106             nodes_with_attrs=self.nodes,
 107             edges_with_attrs=self.edges,
 108             update_nodes_attributes=[('input_data', {'shape': input_shape}),
 109                                      ('reshape', {'dim': new_shape}),
 110                                      ('reshape_data', {'shape': new_shape})]
 111         )
 112         graph.graph['layout'] = 'NHWC'
 113         # add permute attrs to reshape
 114         reshape = Node(graph, 'reshape')
 115         PermuteAttrs.create_permute_attrs(reshape, attrs=[('dim', 'output:0')])
 116
 117         tested_pattern = PermuteForReshape()
 118         tested_pattern.find_and_replace_pattern(graph)
 119         graph_ref = build_graph_with_attrs(
 120             nodes_with_attrs=self.nodes + self.permute_nodes,
 121             edges_with_attrs=self.edges[1:] + self.permute_edges,
 122             update_nodes_attributes=[('input_data', {'shape': input_shape}),
 123                                      ('reshape', {'dim': new_shape}),
 124                                      ('reshape_data', {'shape': new_shape}),
 125                                      ('permute_data', {'shape': nhwc_shape})]
 126         )
 127         # check graphs equality
 128         (flag, resp) = compare_graphs(graph, graph_ref, last_node='reshape_data')
 129         self.assertTrue(flag, resp)
 130
 131         # check righ order in new permutation node
 132         permute_order = graph.node['reshape/Permute_']['order']
 133         self.assertTrue(np.all(permute_order == np.array([0, 2, 3, 4, 1])))  # from NCDHW to NDHWC