Caffe：你如何打印测试层的加权损失？

Question

我目前的Caffe输出如下：

Iteration 1000, Testing net (#0)
Test net output #0: accuracy_1 = 0.337018
Test net output #1: accuracy_2 = 0.3397
Test net output #2: accuracy_3 = 0.360761
Test net output #3: loss_1 = 2.08132 (* 1 = 2.08132 loss)
Test net output #4: loss_2 = 2.03755 (* 1 = 2.03755 loss)
Test net output #5: loss_3 = 1.91984 (* 1 = 1.91984 loss)

Iteration 1000, loss = 3.87841
Train net output #0: loss_1 = 1.26657 (* 1 = 1.26657 loss)
Train net output #1: loss_2 = 1.40096 (* 1 = 1.40096 loss)
Train net output #2: loss_3 = 1.21088 (* 1 = 1.21088 loss)

训练迭代打印出正确的加权损失（又名“损失= 3.87841”），而测试迭代只是说“测试网（＃0）”。如何让测试迭代也打印出正确的加权损失？谢谢！

Answer 1

我认为这不是你的加权损失;但这是在迭代中平滑的平均损失。

您可以在此处查看average_loss字段： https://github.com/BVLC/caffe/blob/master/src/caffe/solver.cpp#L190-L221

分享您的损失和准确度图层，以获得更详细的答案。