41 lines
1.2 KiB
Python
41 lines
1.2 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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from mo.ops.op import Op
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class InstanceNormalization(Op):
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''' InstanceNormalization like it is defined in ONNX
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y = scale * (x - mean) / sqrt(variance + epsilon) + B
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where x is input(0), scale is input(1) and B is input(3)
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'''
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op = 'InstanceNormalization'
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enabled = True
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def __init__(self, graph: nx.MultiDiGraph, attrs: dict):
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super().__init__(graph, {
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'op': __class__.op,
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'epsilon': None,
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#'infer' - is not needed, this op should be replaced by a front replacer
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}, attrs)
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def supported_attrs(self):
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return ['epsilon']
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