From: qipeng Date: Mon, 4 Aug 2014 16:27:14 +0000 (-0700) Subject: lint X-Git-Url: http://review.tizen.org/git/?a=commitdiff_plain;h=cc352bfcaf4af04fd0efd2cf44dc7a9e8b09839a;p=platform%2Fupstream%2Fcaffe.git lint --- diff --git a/src/caffe/layers/mvn_layer.cpp b/src/caffe/layers/mvn_layer.cpp index c9c075c..e0360b6 100644 --- a/src/caffe/layers/mvn_layer.cpp +++ b/src/caffe/layers/mvn_layer.cpp @@ -44,9 +44,9 @@ Dtype MVNLayer::Forward_cpu(const vector*>& bottom, // computes variance using var(X) = E(X^2) - (EX)^2 caffe_cpu_gemv(CblasNoTrans, num, dim, 1. / dim, bottom_data, - sum_multiplier_.cpu_data(), 0., mean_.mutable_cpu_data()); // EX + sum_multiplier_.cpu_data(), 0., mean_.mutable_cpu_data()); // EX caffe_cpu_gemv(CblasNoTrans, num, dim, 1. / dim, temp_.cpu_data(), - sum_multiplier_.cpu_data(), 0., variance_.mutable_cpu_data()); // E(X^2) + sum_multiplier_.cpu_data(), 0., variance_.mutable_cpu_data()); // E(X^2) caffe_powx(mean_.count(), mean_.cpu_data(), Dtype(2), temp_.mutable_cpu_data()); // (EX)^2 caffe_sub(mean_.count(), variance_.cpu_data(), temp_.cpu_data(), @@ -111,9 +111,9 @@ void MVNLayer::Backward_cpu(const vector*>& top, // computes variance using var(X) = E(X^2) - (EX)^2 caffe_cpu_gemv(CblasNoTrans, num, dim, 1. / dim, bottom_data, - sum_multiplier_.cpu_data(), 0., mean_.mutable_cpu_data()); // EX + sum_multiplier_.cpu_data(), 0., mean_.mutable_cpu_data()); // EX caffe_cpu_gemv(CblasNoTrans, num, dim, 1. / dim, temp_.cpu_data(), - sum_multiplier_.cpu_data(), 0., variance_.mutable_cpu_data()); // E(X^2) + sum_multiplier_.cpu_data(), 0., variance_.mutable_cpu_data()); // E(X^2) caffe_powx(mean_.count(), mean_.cpu_data(), Dtype(2), temp_.mutable_cpu_data()); // (EX)^2 caffe_sub(mean_.count(), variance_.cpu_data(), temp_.cpu_data(), diff --git a/src/caffe/layers/mvn_layer.cu b/src/caffe/layers/mvn_layer.cu index be5f25b..fb2380c 100644 --- a/src/caffe/layers/mvn_layer.cu +++ b/src/caffe/layers/mvn_layer.cu @@ -23,9 +23,9 @@ Dtype MVNLayer::Forward_gpu(const vector*>& bottom, // computes variance using var(X) = E(X^2) - (EX)^2 caffe_gpu_gemv(CblasNoTrans, num, dim, 1. / dim, bottom_data, - sum_multiplier_.gpu_data(), 0., mean_.mutable_gpu_data()); // EX + sum_multiplier_.gpu_data(), 0., mean_.mutable_gpu_data()); // EX caffe_gpu_gemv(CblasNoTrans, num, dim, 1. / dim, temp_.gpu_data(), - sum_multiplier_.gpu_data(), 0., variance_.mutable_gpu_data()); // E(X^2) + sum_multiplier_.gpu_data(), 0., variance_.mutable_gpu_data()); // E(X^2) caffe_gpu_powx(mean_.count(), mean_.gpu_data(), Dtype(2), temp_.mutable_gpu_data()); // (EX)^2 caffe_gpu_sub(mean_.count(), variance_.gpu_data(), temp_.gpu_data(), @@ -93,9 +93,9 @@ void MVNLayer::Backward_gpu(const vector*>& top, // computes variance using var(X) = E(X^2) - (EX)^2 caffe_gpu_gemv(CblasNoTrans, num, dim, 1. / dim, bottom_data, - sum_multiplier_.gpu_data(), 0., mean_.mutable_gpu_data()); // EX + sum_multiplier_.gpu_data(), 0., mean_.mutable_gpu_data()); // EX caffe_gpu_gemv(CblasNoTrans, num, dim, 1. / dim, temp_.gpu_data(), - sum_multiplier_.gpu_data(), 0., variance_.mutable_gpu_data()); // E(X^2) + sum_multiplier_.gpu_data(), 0., variance_.mutable_gpu_data()); // E(X^2) caffe_gpu_powx(mean_.count(), mean_.gpu_data(), Dtype(2), temp_.mutable_gpu_data()); // (EX)^2 caffe_gpu_sub(mean_.count(), variance_.gpu_data(), temp_.gpu_data(),