当我训练网络时，Caffe 崩溃了。
在本例中，我只使用了 GPU 0。这是错误跟踪:
build/tools/caffe train -solver models/mv16f/solver.prototxt -gpu 0
I0113 14:21:05.861361 85242 solver.cpp:289] Learning Rate Policy: step
I0113 14:21:05.862876 85242 solver.cpp:341] Iteration 0, Testing net (#0)
I0113 14:21:30.271030 85242 solver.cpp:409] Test net output #0: accuracy = 0.00872
I0113 14:21:30.271070 85242 solver.cpp:409] Test net output #1: loss = 4.62895 (* 1 = 4.62895 loss)
I0113 14:21:32.317018 85242 solver.cpp:237] Iteration 0, loss = 4.62663
I0113 14:21:32.317062 85242 solver.cpp:253] Train net output #0: loss = 4.62663 (* 1 = 4.62663 loss)
*** Aborted at 1452691298 (unix time) try "date -d @1452691298" if you are using GNU date ***
PC: @ 0x7fe7f65f1cbc caffe::SGDSolver<>::GetLearningRate()
*** SIGFPE (@0x7fe7f65f1cbc) received by PID 85242 (TID 0x7fe7f72057c0) from PID 18446744073548012732; stack trace: ***
@ 0x7fe7f49c0d40 (unknown)
@ 0x7fe7f65f1cbc caffe::SGDSolver<>::GetLearningRate()
@ 0x7fe7f65f2281 caffe::SGDSolver<>::ApplyUpdate()
@ 0x7fe7f65d967c caffe::Solver<>::Step()
@ 0x7fe7f65d8990 caffe::Solver<>::Solve()
@ 0x7fe7f673251e caffe::P2PSync<>::run()
@ 0x416aa6 train()
@ 0x418c9a main
@ 0x7fe7f49abec5 (unknown)
@ 0x415819 (unknown)
@ 0x0 (unknown)
火车的全部输出是 here .
最佳答案
你的解算器文件有这一行
lr_policy: "fixed"
但是Caffe输出有这一行
lr_policy: "step"
如果您使用逐步学习，则必须定义stepsize。同样，您的求解器文件表明您已定义步长，但 Caffe 输出未显示步长。请再次检查您的解算器文件，并将此行添加回来
stepsize: 10000
关于machine-learning - Caffe 在第一次迭代后崩溃？，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/34769494/