* Added operation ConvertLike to the MO * Fixed transformations with Pad which insert Const with pad value of incorrect type * Added constant folding to ConvertLike operation * Fixed unit tests for Pad transformations to include ConverLike operations * Update copyright year * nGraph code style fix * Added OV_ITT_SCOPED_TASK for ConvertLike constant folding
45 lines
1.4 KiB
Python
45 lines
1.4 KiB
Python
"""
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Copyright (C) 2018-2021 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 mo.front.common.partial_infer.elemental import copy_shape_infer
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from mo.graph.graph import Node, Graph
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from mo.ops.op import Op
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class ConvertLike(Op):
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op = 'ConvertLike'
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enabled = False
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def __init__(self, graph: Graph, attrs: dict):
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mandatory_props = {
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'op': self.op,
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'type': self.op,
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'version': 'opset1',
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'infer': copy_shape_infer,
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'type_infer': self.type_infer,
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'in_ports_count': 2,
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'out_ports_count': 1,
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}
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super().__init__(graph, mandatory_props, attrs)
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@staticmethod
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def type_infer(node: Node):
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assert node.is_in_port_connected(1), 'The second input is not connected for a node {}.' \
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''.format(node.soft_get('name'), node.id)
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node.out_port(0).set_data_type(node.in_port(1).get_data_type())
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