model-optimizer/extensions/front/onnx/transpose_ext_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 import onnx
  22 from generator import generator, generate
  23
  24 from extensions.front.onnx.transpose_ext import TransposeFrontExtractor
  25 from mo.ops.op import Op
  26 from mo.ops.permute import Permute
  27 from mo.utils.unittest.extractors import PB
  28
  29
  30 @generator
  31 class TestTransposeONNXExt(unittest.TestCase):
  32     @staticmethod
  33     def _create_transpose_node(order: list):
  34         if order is None:
  35             # Default transpose
  36             pb = onnx.helper.make_node(
  37                 'Transpose',
  38                 inputs=['data'],
  39                 outputs=['transposed'],
  40             )
  41         else:
  42             # Transpose with order
  43             pb = onnx.helper.make_node(
  44                 'Transpose',
  45                 inputs=['data'],
  46                 outputs=['transposed'],
  47                 perm=order
  48             )
  49         node = PB({'pb': pb})
  50         return node
  51
  52     @classmethod
  53     def setUpClass(cls):
  54         Op.registered_ops['Permute'] = Permute
  55         pass
  56
  57     # This generator generates all permutations for [0,1,2,3] and [0,1,2] orders
  58     @generate(*[list(order) for order in list(itertools.permutations(np.arange(4)))] +
  59                [list(order) for order in list(itertools.permutations(np.arange(3)))] + [None])
  60     def test_transpose_ext(self, order):
  61         node = self._create_transpose_node(order)
  62         TransposeFrontExtractor.extract(node)
  63
  64         exp_res = {
  65             'type': 'Permute',
  66             'order': order,
  67             'infer': Permute.infer
  68         }
  69
  70         for key in exp_res.keys():
  71             if isinstance(exp_res[key], list):
  72                 self.assertTrue(np.array_equal(node[key], exp_res[key]),
  73                                 "Orders are not the same: {} and {}".format(node[key], exp_res[key]))
  74             else:
  75                 self.assertEqual(node[key], exp_res[key])