51 lines
2.1 KiB
Python
51 lines
2.1 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.front.common.replacement import FrontReplacementPattern
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from mo.graph.graph import Graph
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from mo.ops.broadcast import Broadcast
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from mo.ops.const import Const
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class FillToBroadcast(FrontReplacementPattern):
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"""
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Converts the 'Fill' layer to 'Broadcast'.
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"""
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enabled = True
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def find_and_replace_pattern(self, graph: Graph):
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for fill_node in graph.get_op_nodes(op='Fill'):
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name = fill_node.soft_get('name', fill_node.id)
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broadcast_node = Broadcast(graph, {'name': name + '/Broadcast'}).create_node()
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fill_node.in_port(0).get_connection().set_destination(broadcast_node.in_port(1))
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fill_node.in_port(1).get_connection().set_destination(broadcast_node.in_port(0))
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fill_node.out_port(0).get_connection().set_source(broadcast_node.out_port(0))
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for fill_node in graph.get_op_nodes(op='ConstantFill'):
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name = fill_node.soft_get('name', fill_node.id)
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assert fill_node.has_valid('fill_value')
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assert fill_node.has_and_set('input_as_shape')
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const = Const(graph, {'value': np.array(fill_node.fill_value), 'name': name + '/value'}).create_node()
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broadcast_node = Broadcast(graph, {'name': name + '/Broadcast'}).create_node()
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fill_node.in_port(0).get_connection().set_destination(broadcast_node.in_port(1))
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const.out_port(0).connect(broadcast_node.in_port(0))
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fill_node.out_port(0).get_connection().set_source(broadcast_node.out_port(0))
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