36 lines
1.3 KiB
Python
36 lines
1.3 KiB
Python
"""
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Copyright (c) 2018-2019 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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from mo.front.common.partial_infer.eltwise import eltwise_infer
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from mo.graph.graph import Graph
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from mo.ops.op import Op
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class SquaredDifference(Op):
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op = 'SquaredDifference'
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enabled = True
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def __init__(self, graph: Graph, attrs: dict):
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super().__init__(graph, {
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'type': __class__.op, # IE layer type, not required if this op won't be dumped to IE
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'op': __class__.op, # internal MO name for the operation, can be the same as type; required
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'in_ports_count': 2,
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'out_ports_count': 1,
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'infer': lambda node: eltwise_infer(node, lambda a, b: (a - b) ** 2)},
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attrs)
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