Files
openvino/model-optimizer/extensions/front/OneHotDepthNormalizer_test.py
Maxim Vafin 9276334144 Cherry-pick fix OneHot transformation for Bert Squad opset 10 (#1068)
* Fix OneHot transformation for Bert Squad opset 10

* Add transformation for squeezing depth for OneHot
2020-06-22 20:42:02 +03:00

59 lines
2.0 KiB
Python

"""
Copyright (C) 2020 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 unittest
from extensions.front.OneHotDepthNormalizer import OneHotDepthNormalizer
from mo.front.common.partial_infer.utils import int64_array
from mo.utils.ir_engine.compare_graphs import compare_graphs
from mo.utils.unittest.graph import build_graph, result, \
regular_op, const
class OneHotDepthNormalizerTest(unittest.TestCase):
def test(self):
nodes = {
**regular_op('input', {'type': 'Parameter'}),
**const('depth', int64_array([2])),
**regular_op('onehot', {'type': 'OneHot', 'kind': 'op', 'op': 'OneHot'}),
**regular_op('reshape', {'type': 'Reshape', 'kind': 'op', 'op': 'Reshape'}),
**const('reshape_dims', int64_array([])),
**result('result'),
}
edges = [('input', 'onehot'),
('depth', 'onehot'),
('onehot', 'result'),
]
graph = build_graph(nodes, edges)
graph.graph['layout'] = 'NCHW'
graph.stage = 'front'
edges_ref = [('input', 'onehot'),
('depth', 'reshape'),
('reshape_dims', 'reshape'),
('reshape', 'onehot'),
('onehot', 'result'),
]
graph_ref = build_graph(nodes, edges_ref)
OneHotDepthNormalizer().find_and_replace_pattern(graph)
(flag, resp) = compare_graphs(graph, graph_ref, 'result')
self.assertTrue(flag, resp)