From ce986fc83b14600e5bd129c4d34ea56dccdae281 Mon Sep 17 00:00:00 2001 From: himanshupathak21061998 Date: Thu, 28 May 2020 04:15:52 +0530 Subject: [PATCH] Try to handle warnings --- src/mlpack/methods/ann/layer/atrous_convolution_impl.hpp | 2 +- src/mlpack/methods/ann/layer/fast_lstm_impl.hpp | 4 ++-- src/mlpack/methods/ann/layer/gru_impl.hpp | 6 +++--- src/mlpack/methods/ann/layer/highway_impl.hpp | 8 ++++---- src/mlpack/methods/ann/layer/lstm_impl.hpp | 4 ++-- src/mlpack/methods/ann/layer/mean_pooling_impl.hpp | 2 +- .../methods/ann/layer/transposed_convolution_impl.hpp | 2 +- src/mlpack/methods/ann/layer/weight_norm_impl.hpp | 4 ++-- 8 files changed, 16 insertions(+), 16 deletions(-) diff --git a/src/mlpack/methods/ann/layer/atrous_convolution_impl.hpp b/src/mlpack/methods/ann/layer/atrous_convolution_impl.hpp index 9b1dc71978..bd9abbd341 100644 --- a/src/mlpack/methods/ann/layer/atrous_convolution_impl.hpp +++ b/src/mlpack/methods/ann/layer/atrous_convolution_impl.hpp @@ -56,11 +56,11 @@ AtrousConvolution< outSize(layer.outSize), kernelWidth(layer.kernelWidth), kernelHeight(layer.kernelHeight), + weights(layer.weights), strideWidth(layer.strideWidth), strideHeight(layer.strideHeight), inputWidth(layer.inputWidth), inputHeight(layer.inputHeight), - weights(layer.weights), outputWidth(layer.outputWidth), outputHeight(layer.outputHeight), dilationWidth(layer.dilationWidth), diff --git a/src/mlpack/methods/ann/layer/fast_lstm_impl.hpp b/src/mlpack/methods/ann/layer/fast_lstm_impl.hpp index f5ac914c6c..92e1f126e5 100644 --- a/src/mlpack/methods/ann/layer/fast_lstm_impl.hpp +++ b/src/mlpack/methods/ann/layer/fast_lstm_impl.hpp @@ -52,15 +52,15 @@ FastLSTM::FastLSTM( inSize(layer.inSize), outSize(layer.outSize), rho(layer.rho), + weights(layer.weights), forwardStep(layer.forwardStep), - grad(layer.grad), backwardStep(layer.backwardStep), gradientStep(layer.gradientStep), + grad(layer.grad), batchSize(layer.batchSize), batchStep(layer.batchStep), gradientStepIdx(layer.gradientStepIdx), rhoSize(layer.rho), - weights(layer.weights), bpttSteps(layer.bpttSteps) { Reset(); diff --git a/src/mlpack/methods/ann/layer/gru_impl.hpp b/src/mlpack/methods/ann/layer/gru_impl.hpp index 97eb3b094f..f097dae756 100644 --- a/src/mlpack/methods/ann/layer/gru_impl.hpp +++ b/src/mlpack/methods/ann/layer/gru_impl.hpp @@ -43,11 +43,11 @@ GRU::GRU( gradientStep(layer.gradientStep), outParameter(layer.outParameter), allZeros(layer.allZeros), - prevError(layer.prevError), prevOutput(layer.prevOutput), - deterministic(layer.deterministic), backIterator(layer.backIterator), - gradIterator(layer.gradIterator) + gradIterator(layer.gradIterator), + prevError(layer.prevError), + deterministic(layer.deterministic) { CopyVisitor copyVisitor; diff --git a/src/mlpack/methods/ann/layer/highway_impl.hpp b/src/mlpack/methods/ann/layer/highway_impl.hpp index b853c8632e..eacc41ed4d 100644 --- a/src/mlpack/methods/ann/layer/highway_impl.hpp +++ b/src/mlpack/methods/ann/layer/highway_impl.hpp @@ -42,13 +42,13 @@ template::Highway( const Highway& layer) : inSize(layer.inSize), + networkOwnerships(layer.networkOwnerships), model(layer.model), + weights(layer.weights), reset(layer.reset), width(layer.width), - weights(layer.weights), - networkOwnerships(layer.networkOwnerships), - networkOutput(layer.networkOutput), - height(layer.height) + height(layer.height), + networkOutput(layer.networkOutput) { for (size_t i = 0; i < layer.network.size(); ++i) { diff --git a/src/mlpack/methods/ann/layer/lstm_impl.hpp b/src/mlpack/methods/ann/layer/lstm_impl.hpp index 83d10b21ab..1123a988b1 100644 --- a/src/mlpack/methods/ann/layer/lstm_impl.hpp +++ b/src/mlpack/methods/ann/layer/lstm_impl.hpp @@ -30,14 +30,14 @@ LSTM::LSTM( inSize(layer.inSize), outSize(layer.outSize), rho(layer.rho), + weights(layer.weights), forwardStep(layer.forwardStep), backwardStep(layer.backwardStep), gradientStep(layer.gradientStep), batchSize(layer.batchSize), batchStep(layer.batchStep), rhoSize(layer.rhoSize), - bpttSteps(layer.bpttSteps), - weights(layer.weights) + bpttSteps(layer.bpttSteps) { Reset(); } diff --git a/src/mlpack/methods/ann/layer/mean_pooling_impl.hpp b/src/mlpack/methods/ann/layer/mean_pooling_impl.hpp index af51058ee4..2b580bb52b 100644 --- a/src/mlpack/methods/ann/layer/mean_pooling_impl.hpp +++ b/src/mlpack/methods/ann/layer/mean_pooling_impl.hpp @@ -63,8 +63,8 @@ MeanPooling::MeanPooling( outSize(layer.outSize), inputWidth(layer.inputWidth), inputHeight(layer.inputHeight), - reset(layer.reset), outputWidth(layer.outputWidth), + reset(layer.reset), outputHeight(layer.outputHeight), deterministic(layer.deterministic), offset(layer.offset), diff --git a/src/mlpack/methods/ann/layer/transposed_convolution_impl.hpp b/src/mlpack/methods/ann/layer/transposed_convolution_impl.hpp index 5070bdc8e5..3133aebc38 100644 --- a/src/mlpack/methods/ann/layer/transposed_convolution_impl.hpp +++ b/src/mlpack/methods/ann/layer/transposed_convolution_impl.hpp @@ -188,6 +188,7 @@ TransposedConvolution< const TransposedConvolution& layer) : inSize(layer.inSize), outSize(layer.outSize), + weights(layer.weights), kernelWidth(layer.kernelWidth), kernelHeight(layer.kernelHeight), strideWidth(layer.strideWidth), @@ -198,7 +199,6 @@ TransposedConvolution< padHTop(layer.padHTop), inputWidth(layer.inputWidth), inputHeight(layer.inputHeight), - weights(layer.weights), paddingForward(layer.paddingForward), paddingBackward(layer.paddingBackward), outputWidth(layer.outputWidth), diff --git a/src/mlpack/methods/ann/layer/weight_norm_impl.hpp b/src/mlpack/methods/ann/layer/weight_norm_impl.hpp index 9fe130f3b5..6c3caaee90 100644 --- a/src/mlpack/methods/ann/layer/weight_norm_impl.hpp +++ b/src/mlpack/methods/ann/layer/weight_norm_impl.hpp @@ -43,8 +43,8 @@ WeightNorm::WeightNorm( const WeightNorm& layer) : layerWeightSize(layer.layerWeightSize), layerGradients(layer.layerGradients), - layerWeights(layer.layerWeights), - weights(layer.weights) + weights(layer.weights), + layerWeights(layer.layerWeights) { Reset(); }