[NeoML] CDnnHeadAdapterLayer #1058
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| /* Copyright © 2024 ABBYY | ||
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| 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 | ||
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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 | ||
| 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. | ||
| --------------------------------------------------------------------------------------------------------------*/ | ||
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| #pragma once | ||
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| #include <initializer_list> | ||
| #include <NeoML/NeoML.h> | ||
| #include <NeoML/Dnn/Dnn.h> | ||
| #include <NeoML/Dnn/Layers/CompositeLayer.h> | ||
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| namespace NeoML { | ||
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| template <typename T> | ||
| class CLayerWrapper; | ||
| class CDnnHeadAdapterLayer; | ||
| class CGraph; | ||
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| namespace optimization { | ||
| int OptimizeDnnHeadAdapters( NeoML::CGraph& ); | ||
| } | ||
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| class CDnnHead : public IObject { | ||
| public: | ||
| CDnnHead() = default; | ||
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| template <typename... Ts> | ||
| CDnnHead(CRandom& random, IMathEngine& mathEngine, CLayerWrapper<Ts>... linearWrappers) | ||
| { | ||
| CDnn* head(new CDnn(random, mathEngine)); | ||
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| CPtr<CCompositeSourceLayer> source = new CCompositeSourceLayer(head->GetMathEngine()); | ||
| source->SetName("source"); | ||
| head->AddLayer(*source); | ||
| CBaseLayer* inputLayer = source; | ||
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| // chain connect wrapped layers | ||
| using TExpanding = CBaseLayer * []; | ||
| TExpanding{ inputLayer = linearWrappers(inputLayer)... }; | ||
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| CPtr<CCompositeSinkLayer> headSink = new CCompositeSinkLayer(head->GetMathEngine()); | ||
| headSink->SetName("sink"); | ||
| head->AddLayer(*headSink); | ||
| headSink->Connect(0, *(inputLayer)); | ||
| dnn = head; | ||
| } | ||
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| CDnn& GetDnn() { return *dnn; } | ||
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| private: | ||
| ~CDnnHead() override | ||
| { | ||
| if( dnn != nullptr ) { | ||
| delete dnn; | ||
| dnn = nullptr; | ||
| } | ||
| } | ||
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| void increment() | ||
| { | ||
| if( ++headCounter == connections.Size() ) { | ||
| headCounter = 0; | ||
| firstAdapterNum = -1; | ||
| } | ||
| } | ||
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| CDnn* dnn = nullptr; | ||
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| // Stores all adapter using this head | ||
| CObjectArray<CDnnHeadAdapterLayer> connections; | ||
| // Layers for which input/output blobs are stored for Backward/Learn | ||
| CArray<CBaseLayer*> inputLayers; | ||
| CArray<CBaseLayer*> outputLayers; | ||
| // Pointers to source/sink layers of inner network | ||
| CCompositeSourceLayer* sourceLayer = nullptr; | ||
| CCompositeSinkLayer* sinkLayer = nullptr; | ||
| // Which of the blobs will be used during backward | ||
| int blobsForBackward = 0; | ||
| // Which of the blobs will be used during learn | ||
| int blobsForLearn = 0; | ||
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| int headCounter = 0; | ||
| int firstAdapterNum = -1; | ||
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| friend class CDnnHeadAdapterLayer; | ||
| friend int optimization::OptimizeDnnHeadAdapters( CGraph& ); | ||
| }; | ||
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| } // namespace NeoML |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,83 @@ | ||
| /* Copyright © 2024 ABBYY | ||
|
|
||
| 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. | ||
| --------------------------------------------------------------------------------------------------------------*/ | ||
|
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| #pragma once | ||
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| #include <memory> | ||
| #include <NeoML/NeoMLDefs.h> | ||
| #include <NeoML/Dnn/Dnn.h> | ||
| #include <NeoML/Dnn/DnnHead.h> | ||
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| namespace NeoML { | ||
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| // CDnnHeadAdapterLayer passes data blobs between multiple external layers and a shared internal DNN (head) | ||
| // Unlike CompositeLayer, it allows to connect several external layers to same head | ||
| class NEOML_API CDnnHeadAdapterLayer final : public CBaseLayer { | ||
| NEOML_DNN_LAYER( CDnnHeadAdapterLayer ) | ||
| public: | ||
| explicit CDnnHeadAdapterLayer( IMathEngine& mathEngine, const char* name = nullptr ) | ||
| : CBaseLayer( mathEngine, name == nullptr ? "CDnnHeadAdapterLayer" : name, /*isLearnable*/true ) | ||
| {} | ||
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| void Serialize( CArchive& archive ) override; | ||
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| // Internal shared Dnn between DnnHeadAdapters | ||
| void SetDnnHead( CPtr<CDnnHead> head ); | ||
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| // Get Dnn head | ||
| const CDnnHead* GetDnnHead() const { return head; }; | ||
| CDnnHead* GetDnnHead() { return head; }; | ||
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| protected: | ||
| void Reshape() override; | ||
| void RunOnce() override; | ||
| void BackwardOnce() override; | ||
| void LearnOnce() override; | ||
| // It does not allocate outputBlobs in CBaseLayer in runOnce, because they are not used for inference. | ||
| // The outputBlob for CDnnHeadAdapterLayer are sinkLayer->GetBlob() of its internalDnn. | ||
| void AllocateOutputBlobs() override {} | ||
| int BlobsForBackward() const override { return head->blobsForBackward; } | ||
| int BlobsForLearn() const override { return head->blobsForLearn; } | ||
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| private: | ||
| // Pointer to HeadLayer with inner dnn | ||
| CPtr<CDnnHead> head = nullptr; | ||
| // Save first adapter name to connect to necessary head in serialization | ||
| CString firstAdapter; | ||
|
There was a problem hiding this comment. What if the first adapter will be removed from the dnn? |
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| // Stores the number of the layer connected to the internal network | ||
| int num = -1; | ||
| // Temporarily used to store layers during serialization | ||
| CObjectArray<CBaseLayer> layers; | ||
| // Stores the input/output blobs from last Inference | ||
| CObjectArray<CDnnBlob> innerInputBlobs; | ||
| CObjectArray<CDnnBlob> innerOutputBlobs; | ||
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| void OnDnnChanged( CDnn* ) override; | ||
| void processBackwardOrLearn(); | ||
| void configureAdapter(); | ||
| void configureFromHead(); | ||
| void saveBlobs(); | ||
| void loadBlobs(); | ||
| void configureForBackwardAndLearn(); | ||
| }; | ||
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| inline NEOML_API CLayerWrapper<CDnnHeadAdapterLayer> DnnHeadAdapter( CDnnHead* head ) | ||
| { | ||
| return CLayerWrapper<CDnnHeadAdapterLayer>( "DnnHeadAdapter", [=]( CDnnHeadAdapterLayer* result ) { | ||
| result->SetDnnHead( head ); | ||
| } ); | ||
| } | ||
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| } // namespace NeoML | ||
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