model-optimizer/mo/ops/permute_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 itertools
  18 import unittest
  19
  20 import numpy as np
  21 from generator import generator, generate
  22
  23 from mo.graph.graph import Node
  24 from mo.ops.permute import Permute
  25 from mo.utils.unittest.graph import build_graph
  26
  27
  28 @generator
  29 class TestPermuteOp(unittest.TestCase):
  30     nodes_attributes = {
  31         'data_1': {
  32             'kind': 'data',
  33             'shape': np.array([1, 3, 224, 224])
  34         },
  35         'transpose': {
  36             'type': 'Permute',
  37             'order': None,
  38             'reverse_order': False,
  39             'kind': 'op',
  40         },
  41         'data_2': {
  42             'kind': 'data',
  43             'shape': None,
  44         }
  45     }
  46
  47     def _create_graph_with_transpose(self, order):
  48         graph = build_graph(self.nodes_attributes,
  49                             [('data_1', 'transpose'),
  50                              ('transpose', 'data_2')],
  51                             {'transpose': {'order': order}})
  52         return graph
  53
  54     @generate(*[list(order) for order in list(itertools.permutations(np.arange(4)))])
  55     def test_transpose_infer_1(self, order):
  56         graph = self._create_graph_with_transpose(order)
  57         transpose_node = Node(graph, 'transpose')
  58
  59         Permute.infer(transpose_node)
  60
  61         ref = [transpose_node.in_node().shape[i] for i in order]
  62         self.assertTrue(np.array_equal(transpose_node.out_node().shape, np.array(ref)))
  63
  64     def test_transpose_infer_2(self):
  65         order = None
  66         graph = self._create_graph_with_transpose(order)
  67         transpose_node = Node(graph, 'transpose')
  68         transpose_node['reverse_order'] = True
  69
  70         Permute.infer(transpose_node)
  71
  72         ref = np.array([x for x in reversed(transpose_node.in_node().shape)])
  73         self.assertTrue(np.array_equal(transpose_node.out_node().shape, ref),
  74                         "Shapes are not the same: {} and {}".format(transpose_node.out_node().shape, ref))
  75
  76     def test_transpose_infer_neg_1(self):
  77         order = np.array([0, 1, 2, 3])
  78         graph = self._create_graph_with_transpose(order)
  79         transpose_node = Node(graph, 'transpose')
  80         transpose_node['reverse_order'] = True
  81
  82         Permute.infer(transpose_node)
  83
  84         ref = None
  85         self.assertTrue(transpose_node.out_node().shape is None, "Output shape should be None")
  86
  87     def test_transpose_infer_neg_2(self):
  88         order = None
  89         graph = self._create_graph_with_transpose(order)
  90         transpose_node = Node(graph, 'transpose')
  91         transpose_node['reverse_order'] = False
  92
  93         Permute.infer(transpose_node)
  94
  95         ref = None
  96         self.assertTrue(transpose_node.out_node().shape is None, "Output shape should be None")