64 lines
3.2 KiB
Python
64 lines
3.2 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 unittest
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import numpy as np
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from extensions.middle.TensorIteratorOutput import SmartOutputMatcher
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from mo.utils.ir_engine.compare_graphs import compare_graphs
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from mo.utils.unittest.graph import build_graph_with_attrs
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class SmartOutputMatcherTests(unittest.TestCase):
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def test(self):
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pattern_matcher = SmartOutputMatcher()
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pattern = pattern_matcher.pattern()
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graph = build_graph_with_attrs(nodes_with_attrs=pattern['nodes'], edges_with_attrs=pattern['edges'],
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# update_edge_attrs=None,
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new_nodes_with_attrs=[('index', {'kind': 'data'}),
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('value', {'kind': 'data'}),
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('ta_size', {'kind': 'data'}),
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],
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new_edges_with_attrs=[('index', 'TensorArrayWrite', {'in':1}),
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('value', 'TensorArrayWrite', {'in': 2}),
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('ta_size', 'TensorArray')
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],
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update_nodes_attributes=[('WriteEnter_data', {'value': np.array([1, 1])}),
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('start_data', {'value': np.array([0])}),
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('delta_data', {'value': np.array([1])}),
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])
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pattern_matcher.find_and_replace_pattern(graph)
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graph_ref = build_graph_with_attrs(
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nodes_with_attrs=[
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('TensorIteratorOutput', {'kind': 'op', 'op': 'TensorIteratorOutput'}),
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('TensorArrayGather_data', {'kind': 'data'}),
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('index', {'kind': 'data'}),
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('value', {'kind': 'data'}),
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('ta_size', {'kind': 'data'}), ],
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edges_with_attrs=[('ta_size', 'TensorIteratorOutput', {'in': 0}),
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('index', 'TensorIteratorOutput', {'in': 2}),
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('value', 'TensorIteratorOutput', {'in': 1}),
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('TensorIteratorOutput', 'TensorArrayGather_data')],
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update_edge_attrs=None,
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new_nodes_with_attrs=[],
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new_edges_with_attrs=[],
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)
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(flag, resp) = compare_graphs(graph, graph_ref, 'TensorArrayGather_data', check_op_attrs=True)
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self.assertTrue(flag, resp) |