35 lines
1.3 KiB
Python
35 lines
1.3 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 mo.front.extractor import FrontExtractorOp
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from mo.graph.graph import Node
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from mo.ops.unsqueeze import Unsqueeze
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class ExpandDimsExtractor(FrontExtractorOp):
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"""
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Due to historical reasons the ExpandDims operation in the Model Optimizer has one input with data and the attribute
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which specifies the dimension to expand. But in the TensorFlow the ExpandDims operation has 2 inputs where the
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second input specifies the dimensions to expand. In the Model Optimizer this operation corresponds to the Unsqueeze.
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"""
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op = 'ExpandDims'
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enabled = True
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@classmethod
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def extract(cls, node: Node):
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Unsqueeze.update_node_stat(node, {})
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return cls.enabled
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