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This commit is contained in:
gauravghati
2020-12-11 06:29:07 +05:30
parent 045f772e79
commit 2ca2ee1fdd
1 changed files with 34 additions and 34 deletions
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src/mlpack/methods/ann/layer/lstm_impl.hpp
+34 -34
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@@ -66,46 +66,46 @@ template <typename InputDataType, typename OutputDataType>
LSTM<InputDataType, OutputDataType>&
LSTM<InputDataType, OutputDataType> :: operator=(const LSTM& layer)
{
if(this != &layer)
{
inSize = layer.inSize;
outSize = layer.outSize;
rho = layer.rho;
forwardStep = layer.forwardStep;
backwardStep = layer.backwardStep;
gradientStep = layer.gradientStep;
weights = layer.weights;
batchSize = layer.batchSize;
batchStep = layer.batchStep;
gradientStepIdx = layer.gradientStepIdx;
grad = layer.grad;
rhoSize = layer.rho;
bpttSteps = layer.bpttSteps;
}
return *this;
if (this != &layer)
{
inSize = layer.inSize;
outSize = layer.outSize;
rho = layer.rho;
forwardStep = layer.forwardStep;
backwardStep = layer.backwardStep;
gradientStep = layer.gradientStep;
weights = layer.weights;
batchSize = layer.batchSize;
batchStep = layer.batchStep;
gradientStepIdx = layer.gradientStepIdx;
grad = layer.grad;
rhoSize = layer.rho;
bpttSteps = layer.bpttSteps;
}
return *this;
}
template <typename InputDataType, typename OutputDataType>
LSTM<InputDataType, OutputDataType>&
LSTM<InputDataType, OutputDataType> :: operator=(LSTM&& layer)
{
if(this != &layer)
{
inSize = std::move(layer.inSize);
outSize = std::move(layer.outSize);
rho = std::move(layer.rho);
forwardStep = std::move(layer.forwardStep);
backwardStep = std::move(layer.backwardStep);
gradientStep = std::move(layer.gradientStep);
weights = std::move(layer.weights);
batchSize = std::move(layer.batchSize);
batchStep = std::move(layer.batchStep);
gradientStepIdx = std::move(layer.gradientStepIdx);
grad = std::move(layer.grad);
rhoSize = std::move(layer.rho);
bpttSteps = std::move(layer.bpttSteps);
}
return *this;
if (this != &layer)
{
inSize = std::move(layer.inSize);
outSize = std::move(layer.outSize);
rho = std::move(layer.rho);
forwardStep = std::move(layer.forwardStep);
backwardStep = std::move(layer.backwardStep);
gradientStep = std::move(layer.gradientStep);
weights = std::move(layer.weights);
batchSize = std::move(layer.batchSize);
batchStep = std::move(layer.batchStep);
gradientStepIdx = std::move(layer.gradientStepIdx);
grad = std::move(layer.grad);
rhoSize = std::move(layer.rho);
bpttSteps = std::move(layer.bpttSteps);
}
return *this;
}
template <typename InputDataType, typename OutputDataType>