36 lines
1.4 KiB
Python
36 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 logging as log
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from mo.back.replacement import BackReplacementPattern
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from mo.graph.graph import Graph
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class RemoveUselessConvert(BackReplacementPattern):
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"""
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Transformation looks for the Converts layers that do not change actual tensor data type.
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The transformation is executed explicitly from the prepare_emit_ir function
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"""
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enabled = False
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run_not_recursively = True
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def find_and_replace_pattern(self, graph: Graph):
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for cast_node in graph.get_op_nodes(op='Cast'):
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if cast_node.in_port(0).get_data_type() == cast_node.out_port(0).get_data_type():
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log.debug('Convert node {} do not change the data type of the input data.'.format(cast_node.name))
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cast_node.out_port(0).get_connection().set_source(cast_node.in_port(0).get_connection().get_source())
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graph.remove_node(cast_node.id)
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