""" Copyright (c) 2018-2019 Intel Corporation Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. """ import itertools import unittest import numpy as np import onnx from generator import generator, generate from extensions.front.onnx.transpose_ext import TransposeFrontExtractor from mo.ops.op import Op from extensions.ops.transpose import Transpose from mo.utils.unittest.extractors import PB @generator class TestTransposeONNXExt(unittest.TestCase): @staticmethod def _create_transpose_node(order: list): if order is None: # Default transpose pb = onnx.helper.make_node( 'Transpose', inputs=['data'], outputs=['transposed'], ) else: # Transpose with order pb = onnx.helper.make_node( 'Transpose', inputs=['data'], outputs=['transposed'], perm=order ) node = PB({'pb': pb}) return node @classmethod def setUpClass(cls): Op.registered_ops['Transpose'] = Transpose pass # This generator generates all permutations for [0,1,2,3] and [0,1,2] orders @generate(*[list(order) for order in list(itertools.permutations(np.arange(4)))] + [list(order) for order in list(itertools.permutations(np.arange(3)))] + [None]) def test_transpose_ext(self, order): node = self._create_transpose_node(order) TransposeFrontExtractor.extract(node) exp_res = { 'type': 'Transpose', 'order': order, 'infer': Transpose.infer } for key in exp_res.keys(): if isinstance(exp_res[key], list): self.assertTrue(np.array_equal(node[key], exp_res[key]), "Orders are not the same: {} and {}".format(node[key], exp_res[key])) else: self.assertEqual(node[key], exp_res[key])