[MO] [TF] Added TF broadcast_to extractor (#4376)

* Added TF broadcast_to extractor

* updated Supported_Frameworks_Layers.md

* corrected name

* corrected op name in Supported_Frameworks_Layers.md

* added a space after BroadcastTo in Supported_Frameworks_Layers.md
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Pavel Esir 2021-02-19 11:44:11 +03:00 committed by GitHub
parent a1f8fe3696
commit 7dca134031
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3 changed files with 31 additions and 0 deletions

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@ -134,6 +134,7 @@ Standard TensorFlow\* operations:
| BatchToSpaceND | No | | BatchToSpaceND | No |
| BiasAdd | No | | BiasAdd | No |
| Bucketize | CPU only | | Bucketize | CPU only |
| BroadcastTo | No |
| Cast | No | | Cast | No |
| Ceil | No | | Ceil | No |
| Concat | No | | Concat | No |

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@ -370,6 +370,7 @@ extensions/front/tf/BatchMatMul_ext.py
extensions/front/tf/BatchToSpaceNDToUpsample.py extensions/front/tf/BatchToSpaceNDToUpsample.py
extensions/front/tf/BlockLSTM.py extensions/front/tf/BlockLSTM.py
extensions/front/tf/BlockLSTM_ext.py extensions/front/tf/BlockLSTM_ext.py
extensions/front/tf/broadcast_ext.py
extensions/front/tf/bucketize.py extensions/front/tf/bucketize.py
extensions/front/tf/bucketize_ext.py extensions/front/tf/bucketize_ext.py
extensions/front/tf/Cast_ext.py extensions/front/tf/Cast_ext.py

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@ -0,0 +1,29 @@
"""
Copyright (C) 2018-2021 Intel Corporation
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
from mo.front.extractor import FrontExtractorOp
from mo.graph.graph import Node
from mo.ops.broadcast import Broadcast
class BroadcastExtractor(FrontExtractorOp):
op = 'BroadcastTo'
enabled = True
@classmethod
def extract(cls, node: Node):
Broadcast.update_node_stat(node, attrs={'mode': 'numpy'})
return cls.enabled