40 lines
1.4 KiB
Python
40 lines
1.4 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 numpy as np
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from mo.graph.graph import Graph, Node
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from mo.middle.replacement import MiddleReplacementPattern
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from mo.ops.const import Const
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class ReverseTransposeNormalization(MiddleReplacementPattern):
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enabled = True
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force_shape_inference = True
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def pattern(self):
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return dict(
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nodes=[('transpose', dict(type='Transpose', reverse_order=True))],
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edges=[],
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)
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def replace_pattern(self, graph: Graph, match: [str, Node]):
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node = match['transpose']
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assert len(node.in_nodes()) == 1
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order = np.arange(len(node.in_port(0).data.get_shape()))[::-1]
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const = Const(graph, {'value': order, 'name': node.soft_get('name', node.id) + '/Order'}).create_node()
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node.add_input_port(1, skip_if_exist=True)
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const.out_port(0).connect(node.in_port(1))
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