70 lines
2.0 KiB
Python
70 lines
2.0 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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from extensions.ops.ReduceOps import ReduceProd, ReduceAnd, ReduceMax, ReduceMean, ReduceSum
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from mo.front.extractor import FrontExtractorOp
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from mo.graph.graph import Node
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class AllFrontExtractor(FrontExtractorOp):
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op = 'All'
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enabled = True
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@classmethod
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def extract(cls, node: Node):
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keep_dims = node.pb.attr['keep_dims'].b
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ReduceAnd.update_node_stat(node, {'keep_dims': keep_dims})
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return cls.enabled
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class MaxFrontExtractor(FrontExtractorOp):
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op = 'Max'
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enabled = True
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@classmethod
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def extract(cls, node: Node):
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ReduceMax.update_node_stat(node, {'keep_dims': node.pb.attr['keep_dims'].b})
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return cls.enabled
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class MeanExtractor(FrontExtractorOp):
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op = 'Mean'
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enabled = True
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@classmethod
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def extract(cls, node: Node):
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ReduceMean.update_node_stat(node, {'keep_dims': node.pb.attr["keep_dims"].b})
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return cls.enabled
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class ProdFrontExtractor(FrontExtractorOp):
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op = 'Prod'
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enabled = True
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@classmethod
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def extract(cls, node: Node):
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ReduceProd.update_node_stat(node, {'keep_dims': node.pb.attr["keep_dims"].b})
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return cls.enabled
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class SumFrontExtractor(FrontExtractorOp):
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op = 'Sum'
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enabled = True
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@classmethod
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def extract(cls, node: Node):
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ReduceSum.update_node_stat(node, {'keep_dims': node.pb.attr["keep_dims"].b})
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return cls.enabled
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