116 lines
7.9 KiB
Python
116 lines
7.9 KiB
Python
# Copyright (C) 2018-2021 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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import numpy as np
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import unittest
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from argparse import Namespace
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from extensions.front.CTCLossReplacement import CTCLossReplacement
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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, const
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class CTCLossFrontReplacementTest(unittest.TestCase):
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def test1(self):
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nodes_attributes = {
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'logits': {'shape': int64_array([2, 6, 100]), 'type': 'Parameter', 'kind': 'op', 'op': 'Parameter'},
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'seq_mask': {'shape': int64_array([2]), 'data_type': np.int32, 'kind': 'op', 'op': 'Parameter'},
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'transpose': {'kind': 'op', 'op': 'Transpose'},
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'ctc_greedy_decoder': {'kind': 'op', 'op': 'CTCGreedyDecoderSeqLen', 'merge_repeated': True},
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'cast': {'kind': 'op', 'op': 'Cast'},
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'sparse_to_dense': {'kind': 'op', 'op': 'SparseToDense'},
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'tf_ctc_loss': {'kind': 'op', 'op': 'CTCLoss', 'preprocess_collapse_repeated': False,
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'ctc_merge_repeated': True, 'unique': False, 'logits_time_major': True},
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'ctc_loss': {'kind': 'op', 'op': 'CTCLoss', 'preprocess_collapse_repeated': False,
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'ctc_merge_repeated': True, 'unique': False},
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**const('default_value', int64_array(-1)),
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'last': {'type': None, 'value': None, 'kind': 'op', 'op': 'Result'},
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'transpose2': {'kind': 'op', 'op': 'Transpose'},
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**const('transpose2_axis', int64_array([1, 0, 2])),
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}
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graph = build_graph(nodes_attributes, [('logits', 'transpose', {'out': 0, 'in': 0}),
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('transpose', 'ctc_greedy_decoder', {'out': 0, 'in': 0}),
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('seq_mask', 'ctc_greedy_decoder', {'out': 0, 'in': 1}),
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('transpose', 'tf_ctc_loss', {'out': 0, 'in': 0}),
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('seq_mask', 'tf_ctc_loss', {'out': 0, 'in': 3}),
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('ctc_greedy_decoder', 'sparse_to_dense', {'out': 0, 'in': 0}),
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('ctc_greedy_decoder', 'sparse_to_dense', {'out': 2, 'in': 1}),
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('ctc_greedy_decoder', 'sparse_to_dense', {'out': 1, 'in': 2}),
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('default_value', 'sparse_to_dense', {'out': 0, 'in': 3}),
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('ctc_greedy_decoder', 'cast', {'out': 1, 'in': 0}),
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('ctc_greedy_decoder', 'tf_ctc_loss', {'out': 0, 'in': 1}),
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('cast', 'tf_ctc_loss', {'out': 0, 'in': 2}),
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('tf_ctc_loss', 'last', {'out': 0, 'in': 0})],
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nodes_with_edges_only=True)
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graph.graph['cmd_params'] = Namespace(data_type='FP32')
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graph.stage = 'front'
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CTCLossReplacement().find_and_replace_pattern(graph)
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graph_ref = build_graph(nodes_attributes,
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[('logits', 'transpose', {'out': 0, 'in': 0}),
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('transpose', 'transpose2', {'out': 0, 'in': 0}),
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('transpose2_axis', 'transpose2', {'out': 0, 'in': 1}),
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('transpose2', 'ctc_greedy_decoder', {'out': 0, 'in': 0}),
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('seq_mask', 'ctc_greedy_decoder', {'out': 0, 'in': 1}),
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('transpose2', 'ctc_loss', {'out': 0, 'in': 0}),
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('ctc_greedy_decoder', 'ctc_loss', {'out': 0, 'in': 2}),
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('ctc_greedy_decoder', 'ctc_loss', {'out': 1, 'in': 3}),
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('seq_mask', 'ctc_loss', {'out': 0, 'in': 1}),
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('ctc_loss', 'last', {'out': 0, 'in': 0})],
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nodes_with_edges_only=True)
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(flag, resp) = compare_graphs(graph, graph_ref, 'last', check_op_attrs=True)
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self.assertTrue(flag, resp)
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def test2(self):
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nodes_attributes = {
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'logits': {'shape': int64_array([2, 6, 100]), 'type': 'Parameter', 'kind': 'op', 'op': 'Parameter'},
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'seq_mask': {'shape': int64_array([2]), 'data_type': np.int32, 'kind': 'op', 'op': 'Parameter'},
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'transpose': {'kind': 'op', 'op': 'Transpose'},
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'ctc_greedy_decoder': {'kind': 'op', 'op': 'CTCGreedyDecoderSeqLen', 'merge_repeated': True},
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'cast': {'kind': 'op', 'op': 'Cast'},
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'sparse_to_dense': {'kind': 'op', 'op': 'SparseToDense'},
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'tf_ctc_loss': {'kind': 'op', 'op': 'CTCLoss', 'preprocess_collapse_repeated': False,
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'ctc_merge_repeated': True, 'unique': False, 'logits_time_major': False},
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'ctc_loss': {'kind': 'op', 'op': 'CTCLoss', 'preprocess_collapse_repeated': False,
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'ctc_merge_repeated': True, 'unique': False},
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**const('default_value', int64_array(-1)),
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'last': {'type': None, 'value': None, 'kind': 'op', 'op': 'Result'},
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'transpose2': {'kind': 'op', 'op': 'Transpose'},
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**const('transpose2_axis', int64_array([1, 0, 2])),
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}
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graph = build_graph(nodes_attributes, [('logits', 'transpose', {'out': 0, 'in': 0}),
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('transpose', 'ctc_greedy_decoder', {'out': 0, 'in': 0}),
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('seq_mask', 'ctc_greedy_decoder', {'out': 0, 'in': 1}),
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('transpose', 'tf_ctc_loss', {'out': 0, 'in': 0}),
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('seq_mask', 'tf_ctc_loss', {'out': 0, 'in': 3}),
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('ctc_greedy_decoder', 'sparse_to_dense', {'out': 0, 'in': 0}),
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('ctc_greedy_decoder', 'sparse_to_dense', {'out': 2, 'in': 1}),
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('ctc_greedy_decoder', 'sparse_to_dense', {'out': 1, 'in': 2}),
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('default_value', 'sparse_to_dense', {'out': 0, 'in': 3}),
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('ctc_greedy_decoder', 'cast', {'out': 1, 'in': 0}),
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('ctc_greedy_decoder', 'tf_ctc_loss', {'out': 0, 'in': 1}),
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('cast', 'tf_ctc_loss', {'out': 0, 'in': 2}),
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('tf_ctc_loss', 'last', {'out': 0, 'in': 0})],
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nodes_with_edges_only=True)
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graph.graph['cmd_params'] = Namespace(data_type='FP32')
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graph.stage = 'front'
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CTCLossReplacement().find_and_replace_pattern(graph)
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graph_ref = build_graph(nodes_attributes,
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[('logits', 'transpose', {'out': 0, 'in': 0}),
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('transpose', 'transpose2', {'out': 0, 'in': 0}),
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('transpose2_axis', 'transpose2', {'out': 0, 'in': 1}),
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('transpose2', 'ctc_greedy_decoder', {'out': 0, 'in': 0}),
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('seq_mask', 'ctc_greedy_decoder', {'out': 0, 'in': 1}),
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('transpose', 'ctc_loss', {'out': 0, 'in': 0}),
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('ctc_greedy_decoder', 'ctc_loss', {'out': 0, 'in': 2}),
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('ctc_greedy_decoder', 'ctc_loss', {'out': 1, 'in': 3}),
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('seq_mask', 'ctc_loss', {'out': 0, 'in': 1}),
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('ctc_loss', 'last', {'out': 0, 'in': 0})],
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nodes_with_edges_only=True)
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(flag, resp) = compare_graphs(graph, graph_ref, 'last', check_op_attrs=True)
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self.assertTrue(flag, resp)
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