47 lines
1.9 KiB
Python
47 lines
1.9 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.Cast import Cast
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from mo.back.replacement import BackReplacementPattern
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from mo.graph.graph import Graph
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from mo.middle.passes.convert_data_type import data_type_str_to_np
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class ForceStrictPrecision(BackReplacementPattern):
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"""
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Assign precision for some inputs for specific layers depending on their semantics.
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To identify ports which should be processed, this pass relies on special attributes
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inside a node: force_precision_in_ports. This attribute should be a dictionary with
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index of port as key and required precision code as value (e.g. 'int64' etc.).
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"""
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enabled = True
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@staticmethod
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def pattern():
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return dict(
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nodes=[('node', {'force_precision_in_ports': lambda x: x is not None})],
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edges=[],
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)
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@staticmethod
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def replace_pattern(graph: Graph, match: dict):
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node = match['node']
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for in_port, precision in node.force_precision_in_ports.items():
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if in_port in node.in_ports().keys() and not node.in_port(in_port).disconnected():
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cast = Cast(graph, {'name': node.name + '/Cast_' + str(in_port),
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'dst_type': data_type_str_to_np(precision)}).create_node()
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node.in_port(in_port).get_connection().insert_node(cast)
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