Files
openvino/model-optimizer/mo/ops/eltwise_n.py
2020-02-11 22:48:49 +03:00

53 lines
1.8 KiB
Python

"""
Copyright (C) 2018-2020 Intel Corporation
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
from mo.graph.graph import Graph
from mo.ops.op import Op
from mo.utils.error import Error
class EltwiseN(Op):
"""
The elementwise operation that has more than 2 inputs. This operation is replaced in a front phase with a number of
simple elementwise operations with 2 inputs. Refer to EltwiseNFrontReplacer for a list of supported operations.
"""
op = 'EltwiseN'
def __init__(self, graph: Graph, attrs: dict):
super().__init__(graph, {
'op': __class__.op,
'type': None, # type is None because this operation should not appear in IR
'infer': None,
'out_ports_count': 1,
}, attrs)
if 'operation' not in self.attrs:
raise Error('"operation" attribute is not set for operation "{}".'.format(__class__.op))
class EltwiseNMul(EltwiseN):
def __init__(self, graph: Graph, attrs: dict):
super().__init__(graph, {'operation': 'mul'})
class EltwiseNMax(EltwiseN):
def __init__(self, graph: Graph, attrs: dict):
super().__init__(graph, {'operation': 'max'})
class EltwiseNAdd(EltwiseN):
def __init__(self, graph: Graph, attrs: dict):
super().__init__(graph, {'operation': 'sum'})