Evgenya Stepyreva
802d605bff
* [ MO ] KSO ON by default. Introduce static_shape MO key, remove keep_shape_ops key usages * keep_shape_ops -> static_shape * static_shape = False by default * Fix Proposal-4 shape infer * style-apply * Fix Layout Change for ShapeOf paths
152 lines
6.9 KiB
Python
152 lines
6.9 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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from argparse import Namespace
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import numpy as np
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from extensions.back.FuseTransposesSequence import FuseTransposesSequence
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from mo.middle.passes.eliminate_test import build_graph
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from mo.utils.ir_engine.compare_graphs import compare_graphs
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# The dictionary with nodes attributes used to build various graphs. A key is the name of the node and the value is the
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# dictionary with node attributes.
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nodes_attributes = {
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'placeholder_1': {'name': 'placeholder_1', 'value': None, 'shape': None, 'type': 'Parameter', 'kind': 'op',
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'op': 'Parameter'},
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'placeholder_1_data': {'name': 'placeholder_1_data', 'value': None, 'shape': None, 'kind': 'data',
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'data_type': None},
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# Transpose layers
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'const_1': {'value': None, 'kind': 'op', 'type': 'Const', 'op': 'Const'},
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'const_1_data': {'value': None, 'shape': None, 'kind': 'data'},
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'permute_1': {'type': 'Transpose', 'value': None, 'kind': 'op', 'op': 'Transpose'},
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'permute_1_data': {'value': None, 'shape': None, 'kind': 'data'},
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'const_2': {'value': None, 'kind': 'op', 'type': 'Const', 'op': 'Const'},
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'const_2_data': {'value': None, 'shape': None, 'kind': 'data'},
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'permute_2': {'type': 'Transpose', 'value': None, 'kind': 'op', 'op': 'Transpose'},
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'permute_2_data': {'value': None, 'shape': None, 'kind': 'data'},
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'const_3': {'value': None, 'kind': 'op', 'type': 'Const', 'op': 'Const'},
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'const_3_data': {'value': None, 'shape': None, 'kind': 'data'},
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'permute_3': {'type': 'Transpose', 'value': None, 'kind': 'op', 'op': 'Transpose'},
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'permute_3_data': {'value': None, 'shape': None, 'kind': 'data'},
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'op_output': {'op': 'Result', 'kind': 'op'}
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}
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class FuseTransposesSequenceTest(unittest.TestCase):
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def test_1(self):
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#
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# NHWC NCHW NHWC
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# Input->DATA->Transpose->DATA->Transpose->DATA => Input->DATA
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#
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graph = build_graph(nodes_attributes,
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[('placeholder_1', 'placeholder_1_data'),
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('placeholder_1_data', 'permute_1'),
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('permute_1', 'permute_1_data'),
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('permute_1_data', 'permute_2'),
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('permute_2', 'permute_2_data'),
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('permute_2_data', 'op_output'),
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('const_1', 'const_1_data'),
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('const_1_data', 'permute_1', {'in': 1}),
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('const_2', 'const_2_data'),
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('const_2_data', 'permute_2', {'in': 1}),
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],
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{'placeholder_1_data': {'shape': np.array([1, 227, 227, 3])},
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'const_1_data': {'value': np.array([0, 3, 1, 2])},
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'permute_1_data': {'shape': np.array([1, 3, 227, 227])},
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'const_2_data': {'value': np.array([0, 2, 3, 1])},
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'permute_2_data': {'shape': np.array([1, 227, 227, 3])},
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}, nodes_with_edges_only=True)
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graph.graph['layout'] = 'NHWC'
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graph_ref = build_graph(nodes_attributes,
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[('placeholder_1', 'placeholder_1_data'),
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('placeholder_1_data', 'op_output')
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],
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{'placeholder_1_data': {'shape': np.array([1, 227, 227, 3])}},
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nodes_with_edges_only=True)
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pattern = FuseTransposesSequence()
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pattern.find_and_replace_pattern(graph)
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(flag, resp) = compare_graphs(graph, graph_ref, 'placeholder_1_data', check_op_attrs=True)
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self.assertTrue(flag, resp)
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def test_2(self):
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#
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# Input->DATA->Transpose->DATA->Transpose->DATA => Input->DATA->Transpose->DATA
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#
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graph = build_graph(nodes_attributes,
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[('placeholder_1', 'placeholder_1_data'),
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('placeholder_1_data', 'permute_1'),
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('permute_1', 'permute_1_data'),
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('permute_1_data', 'permute_2'),
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('permute_2', 'permute_2_data'),
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('permute_2_data', 'op_output'),
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('const_1', 'const_1_data'),
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('const_1_data', 'permute_1', {'in': 1}),
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('const_2', 'const_2_data'),
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('const_2_data', 'permute_2', {'in': 1}),
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],
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{'placeholder_1_data': {'shape': np.array([1, 227, 227, 3])},
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'const_1': {'shape': np.array([4])},
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'const_1_data': {'value': np.array([0, 3, 1, 2])},
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'permute_1_data': {'shape': np.array([1, 3, 227, 227])},
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'const_2': {'shape': np.array([4])},
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'const_2_data': {'value': np.array([0, 1, 2, 3])},
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'permute_2_data': {'shape': np.array([1, 3, 227, 227])},
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}, nodes_with_edges_only=True)
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graph.graph['layout'] = 'NHWC'
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graph_ref = build_graph(nodes_attributes,
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[('placeholder_1', 'placeholder_1_data'),
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('placeholder_1_data', 'permute_1'),
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('permute_1', 'permute_1_data'),
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('permute_1_data', 'op_output'),
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('const_1', 'const_1_data'),
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('const_1_data', 'permute_1', {'in': 1}),
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],
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{'placeholder_1_data': {'shape': np.array([1, 227, 227, 3])},
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'const_1_data': {'value': np.array([0, 3, 1, 2])},
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'permute_1_data': {'shape': np.array([1, 3, 227, 227])},
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}, nodes_with_edges_only=True)
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pattern = FuseTransposesSequence()
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pattern.find_and_replace_pattern(graph)
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(flag, resp) = compare_graphs(graph, graph_ref, 'placeholder_1_data', check_op_attrs=True)
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self.assertTrue(flag, resp)
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if __name__ == '__main__':
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unittest.main()
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