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I called the training command like that "./build/tools/caffe train -solver models/DAN/amazon_to_webcam/solver.prototxt -weights models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel" on my dual gpu machine.
After 2000 iteration, the training stopped. But I search the whole working directory and got nothing from that. What's happened after training is finished?
last message from training machin:
I'm sorry, but have you sent the full training log to [email protected]? Maybe I do not recognize your email address. Please write the issue id in your email. Thank you.
I called the training command like that "./build/tools/caffe train -solver models/DAN/amazon_to_webcam/solver.prototxt -weights models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel" on my dual gpu machine.
After 2000 iteration, the training stopped. But I search the whole working directory and got nothing from that. What's happened after training is finished?
last message from training machin:
I1020 16:41:28.788825 2502 net.cpp:693] Ignoring source layer source_data
I1020 16:41:28.788828 2502 net.cpp:693] Ignoring source layer target_label_silence
I1020 16:41:28.788832 2502 net.cpp:693] Ignoring source layer concat_data
I1020 16:41:28.788841 2502 net.cpp:693] Ignoring source layer slice_features_fc7
I1020 16:41:28.788843 2502 net.cpp:693] Ignoring source layer source_features_fc7_slice_features_fc7_0_split
I1020 16:41:28.788846 2502 net.cpp:693] Ignoring source layer target_features_fc7_slice_features_fc7_1_split
I1020 16:41:28.788851 2502 net.cpp:693] Ignoring source layer source_features_fc8_fc8_source_0_split
I1020 16:41:28.788853 2502 net.cpp:693] Ignoring source layer softmax_loss
I1020 16:41:28.788856 2502 net.cpp:693] Ignoring source layer fc8_target
I1020 16:41:28.788859 2502 net.cpp:693] Ignoring source layer mmd_loss_fc7
I1020 16:41:28.788862 2502 net.cpp:693] Ignoring source layer mmd_loss_fc8
I1020 16:41:30.357834 2502 blocking_queue.cpp:50] Data layer prefetch queue empty
I1020 16:41:30.467955 2502 solver.cpp:407] Test net output #0: lp_accuracy = 0.403774
I1020 16:41:30.467969 2502 solver.cpp:325] Optimization Done.
I1020 16:41:30.497936 2502 caffe.cpp:254] Optimization Done.
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