Caffe Learning--cifar10 Learning-ubuntu16.04-gtx650tiboost--1g--02
Caffe Train-solver examples/cifar10/cifar10_quick_solver.prototxt I1025 09:52:16.952167 7453 sgd_solver.cpp:105] Iteration 3700, lr = 0.001I1025 09:52:18.843194 7453 solver.cpp:218] Iteration 3800 (52.8951 iter/s, 1.89054s/100 iters), loss = 0.593796I1025 09:52:18.843243 7453 solver.cpp:237] Train net output#0:loss = 0.593796 (* 1 = 0.593796 loss)I1025 09:52:18.843261 7453 sgd_solver.cpp:105] Iteration 3800, lr = 0.001I1025 09:52:20.776065 7453 solver.cpp:218] Iteration 3900 (51.7515 iter/s, 1.93231s/100 iters), loss = 0.713602I1025 09:52:20.776106 7453 solver.cpp:237] Train net output#0:loss = 0.713602 (* 1 = 0.713602 loss)I1025 09:52:20.776114 7453 sgd_solver.cpp:105] Iteration 3900, LR = 0.001I1025 09:52:22.677291 7458 data_layer.cpp:73] Restarting data prefetching fromstart. I1025 09:52:22.749538 7453 solver.cpp:447] snapshotting to binary proto file examples/cifar10/cifar10_quick_iter_4000.caffemodeli1025 09:52:22.766818 7453 sgd_solver.cpp:273] snapshotting solver State to binary proto file examples/cifar10/cifar10_quick_iter_4000.solverstatei1025 09:52:22.775292 7453 solver.cpp:310] Iteration 4000, loss = 0.643869I1025 09:52:22.775322 7453 solver.cpp:330] Iteration 4000, testing net (#0)I1025 09:52:23.483098 7460 data_layer.cpp:73] Restarting data prefetching fromstart. I1025 09:52:23.508436 7453 solver.cpp:397] Test net output#0:accuracy = 0.7157I1025 09:52:23.508478 7453 solver.cpp:397] Test net output#1:loss = 0.847997 (* 1 = 0.847997 loss)I1025 09:52:23.508484 7453 solver.cpp:315] Optimization done.i1025 09:52:23.508487 7453 caffe.cpp:259] optimization done.
Caffe Time-model Examples/mnist/lenet_train_test.prototxt-iterations 10
I1025 10:19:02.415710 8451 caffe.cpp:352] use CPU.
I1025 10:19:02.623905 8451 net.cpp:294] The netstate phase (0) differed from the phase (1) specified by a rule in layer MN Ist
I1025 10:19:02.623939 8451 net.cpp:294] The netstate phase (0) differed from the phase (1) specified by a rule in layer AC Curacy
I1025 10:19:02.624037 8451 net.cpp:51] Initializing net from parameters:
Name: "LeNet"
State {
Phase:train
level:0
Stage: ""
}
... ... ... ...
I102510:19:02.848223 8451 net.cpp:198] ip1 needs backward computation. I102510:19:02.848227 8451 net.cpp:198] pool2 needs backward computation. I102510:19:02.848230 8451 net.cpp:198] conv2 needs backward computation. I102510:19:02.848234 8451 net.cpp:198] pool1 needs backward computation. I102510:19:02.848237 8451 net.cpp:198] CONV1 needs backward computation. I102510:19:02.848242 8451 net.cpp:200] Mnist does notneed backward computation. I102510:19:02.848245 8451 net.cpp:242] This network produces output lossI102510:19:02.848253 8451 net.cpp:255] Network initialization done. I102510:19:02.848287 8451 caffe.cpp:360] Performing ForwardI102510:19:02.879693 8451 caffe.cpp:365] Initial loss:2.29607I102510:19:02.879722 8451 caffe.cpp:366] Performing BackwardI102510:19:02.923279 8451 caffe.cpp:374] * * * Benchmark begins * * *I102510:19:02.923300 8451 caffe.cpp:375] Testing for10iterations. I102510:19:02.994730 8451 caffe.cpp:403] iteration:1 forward-backward time:71Ms. I102510:19:03.067307 8451 caffe.cpp:403] Iteration:2 forward-backward time:72Ms. I102510:19:03.139232 8451 caffe.cpp:403] Iteration:3 forward-backward time:71Ms. I102510:19:03.211033 8451 caffe.cpp:403] Iteration:4 forward-backward time:71Ms. I102510:19:03.283150 8451 caffe.cpp:403] Iteration:5 forward-backward time:72Ms. I102510:19:03.355051 8451 caffe.cpp:403] Iteration:6 forward-backward time:71Ms. I102510:19:03.430778 8451 caffe.cpp:403] Iteration:7 forward-backward time:75Ms. I102510:19:03.503176 8451 caffe.cpp:403] Iteration:8 forward-backward time:72Ms. I102510:19:03.575840 8451 caffe.cpp:403] Iteration:9 forward-backward time:72Ms. I102510:19:03.649318 8451 caffe.cpp:403] iteration:10 forward-backward time:73Ms. I102510:19:03.649350 8451 caffe.cpp:406] Average time per layer:i102510:19:03.649353 8451 caffe.cpp:409] mnist forward:0.0106Ms. I102510:19:03.649368 8451 caffe.cpp:412] mnist backward:0.001Ms. I102510:19:03.649374 8451 caffe.cpp:409] Conv1 forward:7.967Ms. I102510:19:03.649387 8451 caffe.cpp:412] Conv1 backward:7.9797Ms. I102510:19:03.649391 8451 caffe.cpp:409] pool1 forward:3.8953Ms. I102510:19:03.649394 8451 caffe.cpp:412] pool1 backward:0.7797Ms. I102510:19:03.649397 8451 caffe.cpp:409] Conv2 forward:13.4244Ms. I102510:19:03.649401 8451 caffe.cpp:412] Conv2 backward:26.7948Ms. I102510:19:03.649405 8451 caffe.cpp:409] pool2 forward:2.1919Ms. I102510:19:03.649410 8451 caffe.cpp:412] pool2 backward:0.9304Ms. I102510:19:03.649412 8451 caffe.cpp:409] ip1 forward:2.756Ms. I102510:19:03.649415 8451 caffe.cpp:412] ip1 backward:5.2499Ms. I102510:19:03.649420 8451 caffe.cpp:409] RELU1 forward:0.0344Ms. I102510:19:03.649422 8451 caffe.cpp:412] RELU1 backward:0.0428Ms. I102510:19:03.649426 8451 caffe.cpp:409] ip2 forward:0.1709Ms. I102510:19:03.649430 8451 caffe.cpp:412] ip2 backward:0.2136Ms. I102510:19:03.649432 8451 caffe.cpp:409] loss forward:0.0642Ms. I102510:19:03.649435 8451 caffe.cpp:412] loss backward:0.0026Ms. I102510:19:03.649441 8451 caffe.cpp:417] Average ForwardPass: 30.5448Ms. I102510:19:03.649446 8451 caffe.cpp:419] Average BackwardPass: 42.0169Ms. I102510:19:03.649448 8451 caffe.cpp:421] Average forward-backward:72.6Ms. I102510:19:03.649452 8451 caffe.cpp:423] Total time:726Ms. I102510:19:03.649456 8451 caffe.cpp:424] * * * Benchmark ends * * *
Caffe Time-model Examples/mnist/lenet_train_test.prototxt-GPU 0
I1025 10:20:00.676383 8487 caffe.cpp:348] Use GPU with device ID 0
I1025 10:20:00.889961 8487 net.cpp:294] The netstate phase (0) differed from the phase (1) specified by a rule in layer MN Ist
I1025 10:20:00.889991 8487 net.cpp:294] The netstate phase (0) differed from the phase (1) specified by a rule in layer AC Curacy
I1025 10:20:00.890086 8487 net.cpp:51] Initializing net from parameters:
Name: "LeNet"
State {
Phase:train
level:0
Stage: ""
}
... ... ... ...
I102510:20:01.122086 8487 caffe.cpp:360] Performing ForwardI102510:20:01.124756 8487 caffe.cpp:365] Initial loss:2.34191I102510:20:01.124771 8487 caffe.cpp:366] Performing BackwardI102510:20:01.125615 8487 caffe.cpp:374] * * * Benchmark begins * * *I102510:20:01.125625 8487 caffe.cpp:375] Testing for50iterations. I102510:20:01.138612 8487 caffe.cpp:403] iteration:1 forward-backward time:8.47408Ms. I102510:20:01.146049 8487 caffe.cpp:403] Iteration:2 forward-backward time:7.38394Ms. I102510:20:01.155109 8487 caffe.cpp:403] Iteration:3 forward-backward time:9.0225Ms. I102510:20:01.161478 8487 caffe.cpp:403] Iteration:4 forward-backward time:6.32Ms. I102510:20:01.170373 8487 caffe.cpp:403] Iteration:5 forward-backward time:8.86355Ms. I102510:20:01.177851 8487 caffe.cpp:403] Iteration:6 forward-backward time:7.41622Ms. I102510:20:01.187093 8487 caffe.cpp:403] Iteration:7 forward-backward time:9.20099Ms. I102510:20:01.193529 8487 caffe.cpp:403] Iteration:8 forward-backward time:6.38976Ms. I102510:20:01.200045 8487 caffe.cpp:403] Iteration:9 forward-backward time:6.47888Ms. I102510:20:01.210321 8487 caffe.cpp:403] iteration:10 forward-backward time:10.2353Ms. I102510:20:01.217547 8487 caffe.cpp:403] iteration:11 forward-backward time:7.18Ms. I102510:20:01.225344 8487 caffe.cpp:403] iteration:12 forward-backward time:7.73363Ms. I102510:20:01.232453 8487 caffe.cpp:403] iteration:13 forward-backward time:7.06461Ms. I102510:20:01.240022 8487 caffe.cpp:403] iteration:14 forward-backward time:7.532Ms. I102510:20:01.249349 8487 caffe.cpp:403] iteration:15 forward-backward time:9.27904Ms. I102510:20:01.249379 8487 blocking_queue.cpp:49] Waiting fordataI102510:20:01.268914 8487 caffe.cpp:403] iteration:16 forward-backward time:19.5232Ms. I102510:20:01.279377 8487 caffe.cpp:403] iteration:17 forward-backward time:10.4125Ms. I102510:20:01.286734 8487 caffe.cpp:403] iteration:18 forward-backward time:7.30182Ms. I102510:20:01.294451 8487 caffe.cpp:403] iteration:19 forward-backward time:7.67226Ms. I102510:20:01.302402 8487 caffe.cpp:403] iteration:20 forward-backward time:7.89741Ms. I102510:20:01.310400 8487 caffe.cpp:403] iteration:21 forward-backward time:7.96928Ms. I102510:20:01.317606 8487 caffe.cpp:403] iteration:22 forward-backward time:7.16723Ms. I102510:20:01.323557 8487 caffe.cpp:403] iteration:23 forward-backward time:5.92131Ms. I102510:20:01.330713 8487 caffe.cpp:403] iteration:24 forward-backward time:7.10467Ms. I102510:20:01.336655 8487 caffe.cpp:403] iteration:25 forward-backward time:5.90749Ms. I102510:20:01.345613 8487 caffe.cpp:403] iteration:26 forward-backward time:8.92973Ms. I102510:20:01.351608 8487 caffe.cpp:403] iteration:27 forward-backward time:5.95821Ms. I102510:20:01.357544 8487 caffe.cpp:403] iteration:28 forward-backward time:5.90122Ms. I102510:20:01.366344 8487 caffe.cpp:403] iteration:29 forward-backward time:8.72832Ms. I102510:20:01.372421 8487 caffe.cpp:403] iteration:30 forward-backward time:6.03226Ms. I102510:20:01.382807 8487 caffe.cpp:403] iteration:31 forward-backward time:10.3558Ms. I102510:20:01.388767 8487 caffe.cpp:403] iteration:32 forward-backward time:5.92176Ms. I102510:20:01.397477 8487 caffe.cpp:403] iteration:33 forward-backward time:8.67101Ms. I102510:20:01.403537 8487 caffe.cpp:403] iteration:34 forward-backward time:6.00432Ms. I102510:20:01.412868 8487 caffe.cpp:403] iteration:35 forward-backward time:9.30355Ms. I102510:20:01.419735 8487 caffe.cpp:403] iteration:36 forward-backward time:6.81789Ms. I102510:20:01.426568 8487 caffe.cpp:403] iteration:37 forward-backward time:6.79034Ms. I102510:20:01.434139 8487 caffe.cpp:403] iteration:38 forward-backward time:7.51936Ms. I102510:20:01.441957 8487 caffe.cpp:403] iteration:39 forward-backward time:7.77027Ms. I102510:20:01.449676 8487 caffe.cpp:403] iteration:40 forward-backward time:7.67699Ms. I102510:20:01.455268 8487 caffe.cpp:403] iteration:41 forward-backward time:5.55248Ms. I102510:20:01.463119 8487 caffe.cpp:403] iteration:42 forward-backward time:7.81456Ms. I102510:20:01.469161 8487 caffe.cpp:403] iteration:43 forward-backward time:6.00304Ms. I102510:20:01.477457 8487 caffe.cpp:403] iteration:44 forward-backward time:8.24778Ms. I102510:20:01.483078 8487 caffe.cpp:403] iteration:45 forward-backward time:5.57971Ms. I102510:20:01.489542 8487 caffe.cpp:403] iteration:46 forward-backward time:6.42477Ms. I102510:20:01.497421 8487 caffe.cpp:403] iteration:47 forward-backward time:7.19514Ms. I102510:20:01.503559 8487 caffe.cpp:403] iteration:48 forward-backward time:6.0952Ms. I102510:20:01.512117 8487 caffe.cpp:403] iteration:49 forward-backward time:8.49587Ms. I102510:20:01.517725 8487 caffe.cpp:403] iteration:50 forward-backward time:5.55443Ms. I102510:20:01.517742 8487 caffe.cpp:406] Average time per layer:i102510:20:01.517746 8487 caffe.cpp:409] mnist forward:0.251048Ms. I102510:20:01.517750 8487 caffe.cpp:412] mnist backward:0.00134592Ms. I102510:20:01.517755 8487 caffe.cpp:409] Conv1 forward:0.49879Ms. I102510:20:01.517771 8487 caffe.cpp:412] Conv1 backward:0.647739Ms. I102510:20:01.517773 8487 caffe.cpp:409] pool1 forward:0.165693Ms. I102510:20:01.517779 8487 caffe.cpp:412] pool1 backward:0.648113Ms. I102510:20:01.517783 8487 caffe.cpp:409] Conv2 forward:0.398481Ms. I102510:20:01.517786 8487 caffe.cpp:412] Conv2 backward:3.08044Ms. I102510:20:01.517791 8487 caffe.cpp:409] pool2 forward:0.0440877Ms. I102510:20:01.517794 8487 caffe.cpp:412] pool2 backward:0.206023Ms. I102510:20:01.517797 8487 caffe.cpp:409] ip1 forward:0.338913Ms. I102510:20:01.517801 8487 caffe.cpp:412] ip1 backward:0.285026Ms. I102510:20:01.517804 8487 caffe.cpp:409] RELU1 forward:0.0160883Ms. I102510:20:01.517808 8487 caffe.cpp:412] RELU1 backward:0.0158157Ms. I102510:20:01.517812 8487 caffe.cpp:409] ip2 forward:0.0488646Ms. I102510:20:01.517817 8487 caffe.cpp:412] ip2 backward:0.0671059Ms. I102510:20:01.517820 8487 caffe.cpp:409] loss forward:0.12852Ms. I102510:20:01.517824 8487 caffe.cpp:412] loss backward:0.0384621Ms. I102510:20:01.517832 8487 caffe.cpp:417] Average ForwardPass: 2.17016Ms. I102510:20:01.517837 8487 caffe.cpp:419] Average BackwardPass: 5.51324Ms. I102510:20:01.517843 8487 caffe.cpp:421] Average forward-backward:7.75216Ms. I102510:20:01.517848 8487 caffe.cpp:423] Total time:387.608Ms. I102510:20:01.517853 8487 caffe.cpp:424] * * * Benchmark ends * * *
Caffe Learning--cifar10 Learning-ubuntu16.04-gtx650tiboost--1g--01