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openvino/model-optimizer/extensions/middle/SequenceLenthToMask_test.py
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Alexey Suhov 6478f1742a Align copyright notice in python scripts (CVS-51320) (#4974)
* Align copyright notice in python scripts (CVS-51320)
2021-03-26 17:54:28 +03:00

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Python

# Copyright (C) 2018-2021 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import unittest
import numpy as np
from extensions.middle.SequenceLengthToMask import SequenceLengthToMask
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
nodes_attributes = {'logits': {'shape': int64_array([5, 3, 30]), 'type': 'Parameter', 'kind': 'op',
'op': 'Parameter'},
'logits_data': {'value': None, 'shape': int64_array([5, 3, 30]), 'kind': 'data'},
'seq_length': {'type': 'Const', 'kind': 'op', 'op': 'Const', 'value': int64_array([5, 2, 3])},
'seq_length_data': {'value': int64_array([5, 2, 3]), 'kind': 'data'},
'ctc_greedy_decoder': {'type': None, 'kind': 'op', 'op': 'CTCGreedyDecoder',
'use_mask_format': True},
'ctc_greedy_decoder_data': {'value': None, 'shape': None, 'kind': 'data'},
'last': {'kind': 'op', 'op': 'Result'},
# new nodes
'seq_mask': {'type': 'Const', 'kind': 'op', 'op': 'Const',
'value': np.transpose(np.array([[1, 1, 1, 1, 1],
[1, 1, 0, 0, 0],
[1, 1, 1, 0, 0]], dtype=np.float))},
'seq_mask_data': {'value': None, 'kind': 'data'},
'new_ctc_greedy_decoder': {'type': None, 'kind': 'op', 'op': 'CTCGreedyDecoder'},
}
class ScaleInputTests(unittest.TestCase):
def test1(self):
graph = build_graph(nodes_attributes,
[('logits', 'logits_data'),
('logits_data', 'ctc_greedy_decoder'),
('seq_length', 'seq_length_data'),
('seq_length_data', 'ctc_greedy_decoder'),
('ctc_greedy_decoder', 'ctc_greedy_decoder_data'),
('ctc_greedy_decoder_data', 'last')],
nodes_with_edges_only=True)
graph_ref = build_graph(nodes_attributes,
[('logits', 'logits_data'),
('logits_data', 'new_ctc_greedy_decoder'),
('seq_mask', 'seq_mask_data'),
('seq_mask_data', 'new_ctc_greedy_decoder'),
('new_ctc_greedy_decoder', 'ctc_greedy_decoder_data'),
('ctc_greedy_decoder_data', 'last')],
nodes_with_edges_only=True)
SequenceLengthToMask().find_and_replace_pattern(graph)
(flag, resp) = compare_graphs(graph, graph_ref, 'last')
self.assertTrue(flag, resp)