49 lines
1.5 KiB
Python
49 lines
1.5 KiB
Python
"""
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Copyright (c) 2018 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 networkx as nx
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import numpy as np
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from mo.ops.op import Op
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from mo.front.common.partial_infer.eltwise import eltwise_infer
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class LinOp(Op):
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enabled = False
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def __init__(self, graph: nx.MultiDiGraph, attrs: dict):
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super().__init__(graph, {
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'can_be_bias': True,
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'can_be_fused': True,
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'type': 'Eltwise',
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'infer': None,
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}, attrs)
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class Add(LinOp):
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enabled = False
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op = lambda a, b: a + b
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def __init__(self, graph: nx.MultiDiGraph, attrs: dict):
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attrs.update({'op': 'Add', 'operation': 'sum', 'infer': lambda node: eltwise_infer(node, self.op)})
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super().__init__(graph, attrs)
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class Mul(LinOp):
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enabled = False
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op = lambda a, b: a * b
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def __init__(self, graph: nx.MultiDiGraph, attrs: dict):
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attrs.update({'op': 'Mul', 'operation': 'mul', 'infer': lambda node: eltwise_infer(node, self.op)})
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super().__init__(graph, attrs)
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