46 lines
1.5 KiB
Python
46 lines
1.5 KiB
Python
# Copyright (C) 2018-2021 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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import unittest
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from extensions.front.OneHotDepthNormalizer import OneHotDepthNormalizer
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from mo.front.common.partial_infer.utils import int64_array
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from mo.utils.ir_engine.compare_graphs import compare_graphs
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from unit_tests.utils.graph import build_graph, result, \
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regular_op, const
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class OneHotDepthNormalizerTest(unittest.TestCase):
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def test(self):
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nodes = {
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**regular_op('input', {'type': 'Parameter'}),
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**const('depth', int64_array([2])),
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**regular_op('onehot', {'type': 'OneHot', 'kind': 'op', 'op': 'OneHot'}),
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**regular_op('reshape', {'type': 'Reshape', 'kind': 'op', 'op': 'Reshape'}),
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**const('reshape_dims', int64_array([])),
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**result('result'),
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}
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edges = [('input', 'onehot'),
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('depth', 'onehot'),
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('onehot', 'result'),
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]
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graph = build_graph(nodes, edges)
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graph.graph['layout'] = 'NCHW'
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graph.stage = 'front'
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edges_ref = [('input', 'onehot'),
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('depth', 'reshape'),
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('reshape_dims', 'reshape'),
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('reshape', 'onehot'),
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('onehot', 'result'),
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]
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graph_ref = build_graph(nodes, edges_ref)
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OneHotDepthNormalizer().find_and_replace_pattern(graph)
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(flag, resp) = compare_graphs(graph, graph_ref, 'result')
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self.assertTrue(flag, resp)
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