我已经使用Debug标志编译了caffe。现在当我运行
./examples/mnist/train_lenet.sh我得到的输出是
I0112 22:50:49.680357 114020 data_layer.cpp:103] Read time: 0.095 ms.I0112 22:50:49.680376 114020 data_layer.cpp:104] Transform time: 0.821 ms.I0112 22:50:49.681077 113921 solver.cpp:409] Test net output #0: accuracy = 0.9902I0112 22:50:49.681115 113921 solver.cpp:409] Test net output #1: loss = 0.0292544 (* 1 = 0.0292544 loss)I0112 22:50:49.681125 113921 solver.cpp:326] Optimization Done.I0112 22:50:49.681133 113921 caffe.cpp:215] Optimization Done.I0112 22:50:49.681915 114020 data_layer.cpp:102] Prefetch batch: 1 ms.I0112 22:50:49.681929 114020 data_layer.cpp:103] Read time: 0.095 ms.I0112 22:50:49.681948 114020 data_layer.cpp:104] Transform time: 0.829 ms.我希望输出中没有读取时间和预取时间。并且不需要重新编译。
I1130 00:30:48.030009 5007 solver.cpp:590] Iteration 9900, lr = 0.00596843I1130 00:30:49.105876 5007 solver.cpp:468] Snapshotting to binary proto file examples/mnist/lenet_iter_10000.caffemodelI1130 00:30:49.117113 5007 solver.cpp:753] Snapshotting solver state to binary proto file examples/mnist/lenet_iter_10000.solverstateI1130 00:30:49.125869 5007 solver.cpp:327] Iteration 10000, loss = 0.00332428I1130 00:30:49.125888 5007 solver.cpp:347] Iteration 10000, Testing net (#0)I1130 00:30:49.722595 5007 solver.cpp:415] Test net output #0: accuracy = 0.9905I1130 00:30:49.722626 5007 solver.cpp:415] Test net output #1: loss = 0.0302176 (* 1 = 0.0302176 loss)I1130 00:30:49.722642 5007 solver.cpp:332] Optimization Done.I1130 00:30:49.722647 5007 caffe.cpp:215] Optimization Done.例如：-http://pastebin.com/F5c3Yutu
回答：
你可以试试
./examples/mnist/train_lenet.sh | grep -v "Read time:" | grep -v "Prefetch batch:"这样我得到的输出是
I0112 22:50:49.671303 114020 data_layer.cpp:104] Transform time: 0.791 ms.I0112 22:50:49.672757 114020 data_layer.cpp:104] Transform time: 0.767 ms.I0112 22:50:49.674334 114020 data_layer.cpp:104] Transform time: 0.836 ms.I0112 22:50:49.675853 114020 data_layer.cpp:104] Transform time: 0.806 ms.I0112 22:50:49.677273 114020 data_layer.cpp:104] Transform time: 0.762 ms.I0112 22:50:49.678861 114020 data_layer.cpp:104] Transform time: 0.861 ms.I0112 22:50:49.680376 114020 data_layer.cpp:104] Transform time: 0.821 ms.I0112 22:50:49.681077 113921 solver.cpp:409] Test net output #0: accuracy = 0.9902I0112 22:50:49.681115 113921 solver.cpp:409] Test net output #1: loss = 0.0292544 (* 1 = 0.0292544 loss)I0112 22:50:49.681125 113921 solver.cpp:326] Optimization Done.I0112 22:50:49.681133 113921 caffe.cpp:215] Optimization Done.I0112 22:50:49.681948 114020 data_layer.cpp:104] Transform time: 0.829 ms.从你的样本输入中得到的。
