72 lines
3.3 KiB
Python
72 lines
3.3 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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from extensions.ops.elementwise import Minimum, Maximum
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from mo.back.replacement import BackReplacementPattern
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from mo.graph.graph import Graph, rename_node
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from mo.ops.clamp import AttributedClamp
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class ClampNormalizer(BackReplacementPattern):
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"""
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Replaces Clamp with `min` and `max` as inputs with AttributedClamp with `min` and `max` as attributes.
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"""
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enabled = True
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force_clean_up = True
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def pattern(self):
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return dict(
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nodes=[('clamp', dict(op='Clamp'))],
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edges=[]
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)
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def replace_pattern(self, graph: Graph, match: dict):
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clamp = match['clamp']
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name = clamp.soft_get('name', clamp.id)
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min_value = max_value = None
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port_1_exist = clamp.has_port('in', 1) and not clamp.in_port(1).disconnected()
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port_2_exist = clamp.has_port('in', 2) and not clamp.in_port(2).disconnected()
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if port_1_exist and clamp.in_port(1).get_source().node.soft_get('type') == 'Const':
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min_value = clamp.in_port(1).data.get_value()
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if port_2_exist and clamp.in_port(2).get_source().node.soft_get('type') == 'Const':
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max_value = clamp.in_port(2).data.get_value()
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rename_node(clamp, name + '/TBR')
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if min_value is None or max_value is None:
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max_node = min_node = None
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if port_1_exist:
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max_node = Maximum(graph, {}).create_node()
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clamp.in_port(0).get_connection().set_destination(max_node.in_port(0))
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clamp.in_port(1).get_connection().set_destination(max_node.in_port(1))
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clamp.out_port(0).get_connection().set_source(max_node.out_port(0))
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if port_2_exist:
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min_node = Minimum(graph, {}).create_node()
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if max_node is not None:
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max_node.out_port(0).get_connection().set_source(min_node.out_port(0))
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max_node.out_port(0).connect(min_node.in_port(0))
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else:
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clamp.in_port(0).get_connection().set_destination(min_node.in_port(0))
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clamp.out_port(0).get_connection().set_source(min_node.out_port(0))
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clamp.in_port(2).get_connection().set_destination(min_node.in_port(1))
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assert min_node is not None or max_node is not None, 'Clamp node should have either min or max input used'
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rename_node(max_node if min_node is None else min_node, name)
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else:
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a_clamp = AttributedClamp(graph, {'name': name, 'min': min_value, 'max': max_value}).create_node()
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rename_node(a_clamp, name)
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clamp.in_port(0).get_connection().set_destination(a_clamp.in_port(0))
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clamp.out_port(0).get_connection().set_source(a_clamp.out_port(0))
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