43 lines
1.7 KiB
Python
43 lines
1.7 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 TopKNormalize(FrontReplacementPattern):
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"""
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This pass do TopK layer normalization:
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1. Adds the second input to the TopK layer if it has just one. In this case the attribute 'k' should be defined.
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2. If one of TopK ports isn't connected - adds output on this port to keep this port in IR.
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"""
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enabled = True
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def find_and_replace_pattern(self, graph: Graph):
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for topk_node in graph.get_op_nodes(op='TopK'):
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if topk_node.in_port(1).disconnected():
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assert topk_node.has_valid('k'), 'The TopK node "{}" misses "k" attribute'.format(topk_node.name)
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k_node = Const(graph, {'name': topk_node.id + '/Dims', 'value': int64_array(topk_node.k)}).create_node()
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topk_node.in_port(1).connect(k_node.out_port(0))
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del topk_node['k']
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else:
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log.debug('The TopK node input "{}" is already normalized'.format(topk_node.name))
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