39 lines
1.6 KiB
Python
39 lines
1.6 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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import logging as log
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from mo.front.common.partial_infer.utils import int64_array
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from mo.front.common.replacement import FrontReplacementPattern
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from mo.graph.graph import Graph
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from mo.ops.const import Const
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class NormalizeL2Normalize(FrontReplacementPattern):
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enabled = True
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def find_and_replace_pattern(self, graph: Graph):
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for normalize_l2 in graph.get_op_nodes(op='NormalizeL2'):
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if normalize_l2.in_port(1).disconnected():
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assert normalize_l2.has_valid('axis'), 'The NormalizeL2 node "{}" misses "axis" attribute.' \
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''.format(normalize_l2.name)
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axis_node = Const(graph, {'name': normalize_l2.id + '/Axis',
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'value': int64_array([normalize_l2.axis])}).create_node()
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normalize_l2.in_port(1).connect(axis_node.out_port(0))
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del normalize_l2['axis']
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else:
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log.debug('The NormalizeL2 node input "{}" is already normalized'.format(normalize_l2.name))
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