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Support multiple inputs in CLinearLayer #992

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Support multiple inputs in CLinearLayer #992

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38 changes: 21 additions & 17 deletions NeoML/src/Dnn/Layers/ActivationLayers.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -230,28 +230,32 @@ CActivationDesc CLinearLayer::GetDesc() const

void CLinearLayer::RunOnce()
{
const int dataSize = outputBlobs[0]->GetDataSize();

if( inputBlobs[0]->GetDataType() == CT_Float ) {
linearRunOnce( inputBlobs[0]->GetData<const float>(), multiplier, freeTerm, dataSize, outputBlobs[0]->GetData() );
} else {
linearRunOnce( inputBlobs[0]->GetData<const int>(), static_cast<int>( multiplier ),
static_cast<int>( freeTerm ), dataSize, outputBlobs[0]->GetData<int>() );
for( int i = 0; i < inputBlobs.Size(); ++i ) {
const int dataSize = outputBlobs[i]->GetDataSize();

if( inputBlobs[i]->GetDataType() == CT_Float ) {
linearRunOnce( inputBlobs[i]->GetData<const float>(), multiplier, freeTerm, dataSize, outputBlobs[i]->GetData() );
} else {
linearRunOnce( inputBlobs[i]->GetData<const int>(), static_cast<int>( multiplier ),
static_cast< int >( freeTerm ), dataSize, outputBlobs[i]->GetData<int>() );
}
}
}

void CLinearLayer::BackwardOnce()
{
CConstFloatHandle outputDiffPtr = outputDiffBlobs[0]->GetData();
CFloatHandle inputDiffPtr = inputDiffBlobs[0]->GetData();
int dataSize = outputDiffBlobs[0]->GetDataSize();

if( multiplier != 1.f ) {
CFloatHandleStackVar multiplierValue( MathEngine() );
multiplierValue.SetValue( multiplier );
MathEngine().VectorMultiply( outputDiffPtr, inputDiffPtr, dataSize, multiplierValue );
} else if( outputDiffPtr != inputDiffPtr ) {
MathEngine().VectorCopy( inputDiffPtr, outputDiffPtr, dataSize );
for( int i = 0; i < outputBlobs.Size(); ++i ) {
CConstFloatHandle outputDiffPtr = outputDiffBlobs[i]->GetData();
CFloatHandle inputDiffPtr = inputDiffBlobs[i]->GetData();
int dataSize = outputDiffBlobs[i]->GetDataSize();

if( multiplier != 1.f ) {
CFloatHandleStackVar multiplierValue( MathEngine() );
multiplierValue.SetValue( multiplier );
MathEngine().VectorMultiply( outputDiffPtr, inputDiffPtr, dataSize, multiplierValue );
} else if( outputDiffPtr != inputDiffPtr ) {
MathEngine().VectorCopy( inputDiffPtr, outputDiffPtr, dataSize );
}
}
}

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