116 lines
3.9 KiB
Python
116 lines
3.9 KiB
Python
"""
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Copyright (C) 2018-2020 Intel Corporation
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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"""
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import itertools
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import unittest
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import numpy as np
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from generator import generator, generate
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from extensions.ops.transpose import Transpose
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from mo.graph.graph import Node
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from mo.utils.unittest.graph import build_graph
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input_shape = np.array([1, 3, 224, 224])
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@generator
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class TestTransposeOp(unittest.TestCase):
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nodes_attributes = {
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'parameter': {
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'kind': 'op',
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'op': 'Parameter',
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'shape': input_shape
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},
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'data_1': {
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'kind': 'data',
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'shape': input_shape,
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'value': None
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},
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'order_const': {
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'kind': 'op',
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'op': 'Const',
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'shape': np.array([4])
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},
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'order_data': {
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'kind': 'data',
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'shape': np.array([4])
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},
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'transpose': {
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'type': 'Transpose',
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'op': 'Transpose',
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'reverse_order': False,
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'kind': 'op',
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},
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'data_2': {
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'kind': 'data',
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'shape': None,
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'value': None
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}
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}
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def _create_graph_with_transpose(self, order):
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if order is None:
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graph = build_graph(self.nodes_attributes,
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[('parameter', 'data_1'),
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('data_1', 'transpose'),
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('transpose', 'data_2')])
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else:
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graph = build_graph(self.nodes_attributes,
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[('parameter', 'data_1'),
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('data_1', 'transpose'),
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('order_const', 'order_data'),
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('order_data', 'transpose'),
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('transpose', 'data_2')],
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{'order_data': {'value': order}})
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graph.graph['layout'] = 'NCHW'
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return graph
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@generate(*[list(order) for order in list(itertools.permutations(np.arange(4)))])
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def test_transpose_infer_1(self, order):
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graph = self._create_graph_with_transpose(order)
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transpose_node = Node(graph, 'transpose')
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Transpose.infer(transpose_node)
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ref = [transpose_node.in_node().shape[i] for i in order]
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self.assertTrue(np.array_equal(transpose_node.out_node().shape, np.array(ref)))
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def test_transpose_infer_2(self):
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order = None
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graph = self._create_graph_with_transpose(order)
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transpose_node = Node(graph, 'transpose')
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transpose_node['reverse_order'] = True
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Transpose.infer(transpose_node)
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ref = np.array([x for x in reversed(transpose_node.in_node().shape)])
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self.assertTrue(np.array_equal(transpose_node.out_node().shape, ref),
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"Shapes are not the same: {} and {}".format(transpose_node.out_node().shape, ref))
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def test_transpose_infer_neg_1(self):
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order = np.array([0, 1, 2, 3])
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graph = self._create_graph_with_transpose(order)
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transpose_node = Node(graph, 'transpose')
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transpose_node['reverse_order'] = True
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self.assertRaises(AssertionError, Transpose.infer, transpose_node)
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def test_transpose_infer_neg_2(self):
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order = None
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graph = self._create_graph_with_transpose(order)
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transpose_node = Node(graph, 'transpose')
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transpose_node['reverse_order'] = False
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self.assertRaises(AssertionError, Transpose.infer, transpose_node)
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