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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/07/18 11:58:09 UTC
[GitHub] PCML-WangZhe commented on issue #11373: update rcnn example
PCML-WangZhe commented on issue #11373: update rcnn example
URL: https://github.com/apache/incubator-mxnet/pull/11373#issuecomment-405905750
I found it much slower than old version,and the speed is not stable,I don't change any param, does anyone else have the same problem like me?
NFO:root:Epoch[0] Batch [20] Speed: 4.54 samples/sec RPNAcc=0.785101 RPNLogLoss=0.648121 RPNL1Loss=0.313158 RCNNAcc=0.812128 RCNNLogLoss=0.465562 RCNNL1Loss=2.561277
INFO:root:Epoch[0] Batch [40] Speed: 4.59 samples/sec RPNAcc=0.867065 RPNLogLoss=0.536473 RPNL1Loss=0.241447 RCNNAcc=0.832317 RCNNLogLoss=0.386772 RCNNL1Loss=2.580883
INFO:root:Epoch[0] Batch [60] Speed: 4.21 samples/sec RPNAcc=0.895782 RPNLogLoss=0.417571 RPNL1Loss=0.263271 RCNNAcc=0.838691 RCNNLogLoss=0.362099 RCNNL1Loss=2.577651
INFO:root:Epoch[0] Batch [80] Speed: 4.36 samples/sec RPNAcc=0.912193 RPNLogLoss=0.345723 RPNL1Loss=0.283261 RCNNAcc=0.846788 RCNNLogLoss=0.340564 RCNNL1Loss=2.602302
INFO:root:Epoch[0] Batch [100] Speed: 4.47 samples/sec RPNAcc=0.923360 RPNLogLoss=0.296611 RPNL1Loss=0.268125 RCNNAcc=0.857441 RCNNLogLoss=0.318911 RCNNL1Loss=2.584149
INFO:root:Epoch[0] Batch [120] Speed: 3.26 samples/sec RPNAcc=0.922157 RPNLogLoss=0.281377 RPNL1Loss=0.271422 RCNNAcc=0.852370 RCNNLogLoss=0.320729 RCNNL1Loss=2.568152
INFO:root:Epoch[0] Batch [140] Speed: 4.05 samples/sec RPNAcc=0.922641 RPNLogLoss=0.260944 RPNL1Loss=0.273159 RCNNAcc=0.856494 RCNNLogLoss=0.309234 RCNNL1Loss=2.548375
INFO:root:Epoch[0] Batch [160] Speed: 4.10 samples/sec RPNAcc=0.925493 RPNLogLoss=0.243349 RPNL1Loss=0.264450 RCNNAcc=0.859739 RCNNLogLoss=0.303794 RCNNL1Loss=2.547160
INFO:root:Epoch[0] Batch [180] Speed: 3.60 samples/sec RPNAcc=0.927458 RPNLogLoss=0.229557 RPNL1Loss=0.252770 RCNNAcc=0.859116 RCNNLogLoss=0.302227 RCNNL1Loss=2.534159
INFO:root:Epoch[0] Batch [200] Speed: 4.83 samples/sec RPNAcc=0.931191 RPNLogLoss=0.214644 RPNL1Loss=0.244530 RCNNAcc=0.865808 RCNNLogLoss=0.289673 RCNNL1Loss=2.486773
INFO:root:Epoch[0] Batch [220] Speed: 4.56 samples/sec RPNAcc=0.935750 RPNLogLoss=0.200768 RPNL1Loss=0.243567 RCNNAcc=0.871430 RCNNLogLoss=0.279419 RCNNL1Loss=2.471421
INFO:root:Epoch[0] Batch [240] Speed: 3.83 samples/sec RPNAcc=0.936934 RPNLogLoss=0.200039 RPNL1Loss=0.253596 RCNNAcc=0.865372 RCNNLogLoss=0.321236 RCNNL1Loss=2.468916
INFO:root:Epoch[0] Batch [260] Speed: 2.11 samples/sec RPNAcc=0.928309 RPNLogLoss=0.215350 RPNL1Loss=0.329817 RCNNAcc=0.860363 RCNNLogLoss=0.324518 RCNNL1Loss=2.454420
INFO:root:Epoch[0] Batch [280] Speed: 3.75 samples/sec RPNAcc=0.927166 RPNLogLoss=0.213307 RPNL1Loss=0.350316 RCNNAcc=0.861266 RCNNLogLoss=0.321035 RCNNL1Loss=2.443782
INFO:root:Epoch[0] Batch [300] Speed: 3.69 samples/sec RPNAcc=0.928488 RPNLogLoss=0.206919 RPNL1Loss=0.398218 RCNNAcc=0.861244 RCNNLogLoss=0.320578 RCNNL1Loss=2.437228
INFO:root:Epoch[0] Batch [320] Speed: 2.81 samples/sec RPNAcc=0.923032 RPNLogLoss=0.211846 RPNL1Loss=0.472409 RCNNAcc=0.863196 RCNNLogLoss=0.318522 RCNNL1Loss=2.403246
INFO:root:Epoch[0] Batch [340] Speed: 4.31 samples/sec RPNAcc=0.922865 RPNLogLoss=0.209912 RPNL1Loss=0.492010 RCNNAcc=0.866935 RCNNLogLoss=0.309043 RCNNL1Loss=2.405491
INFO:root:Epoch[0] Batch [360] Speed: 1.72 samples/sec RPNAcc=0.913796 RPNLogLoss=0.221485 RPNL1Loss=0.566435 RCNNAcc=0.863855 RCNNLogLoss=0.315080 RCNNL1Loss=2.389022
INFO:root:Epoch[0] Batch [380] Speed: 1.19 samples/sec RPNAcc=0.906069 RPNLogLoss=0.233500 RPNL1Loss=0.574996 RCNNAcc=0.857776 RCNNLogLoss=0.321402 RCNNL1Loss=2.370798
INFO:root:Epoch[0] Batch [400] Speed: 2.12 samples/sec RPNAcc=0.905679 RPNLogLoss=0.236498 RPNL1Loss=0.585648 RCNNAcc=0.858196 RCNNLogLoss=0.319997 RCNNL1Loss=2.343578
INFO:root:Epoch[0] Batch [420] Speed: 3.06 samples/sec RPNAcc=0.905055 RPNLogLoss=0.236932 RPNL1Loss=0.603299 RCNNAcc=0.861722 RCNNLogLoss=0.313066 RCNNL1Loss=2.327881
INFO:root:Epoch[0] Batch [440] Speed: 2.63 samples/sec RPNAcc=0.903932 RPNLogLoss=0.239366 RPNL1Loss=0.638583 RCNNAcc=0.863379 RCNNLogLoss=0.309315 RCNNL1Loss=2.309262
INFO:root:Epoch[0] Batch [460] Speed: 3.06 samples/sec RPNAcc=0.901677 RPNLogLoss=0.242633 RPNL1Loss=0.667797 RCNNAcc=0.864883 RCNNLogLoss=0.306521 RCNNL1Loss=2.303738
INFO:root:Epoch[0] Batch [480] Speed: 1.88 samples/sec RPNAcc=0.899889 RPNLogLoss=0.244968 RPNL1Loss=0.685555 RCNNAcc=0.868211 RCNNLogLoss=0.302564 RCNNL1Loss=2.253488
INFO:root:Epoch[0] Batch [500] Speed: 0.83 samples/sec RPNAcc=0.901091 RPNLogLoss=0.243805 RPNL1Loss=0.706072 RCNNAcc=0.870790 RCNNLogLoss=0.297232 RCNNL1Loss=2.199988
INFO:root:Epoch[0] Batch [520] Speed: 0.36 samples/sec RPNAcc=0.901085 RPNLogLoss=0.246106 RPNL1Loss=0.698609 RCNNAcc=0.873725 RCNNLogLoss=0.291516 RCNNL1Loss=2.106227
INFO:root:Epoch[0] Batch [540] Speed: 0.27 samples/sec RPNAcc=0.900652 RPNLogLoss=0.248750 RPNL1Loss=0.688534 RCNNAcc=0.874307 RCNNLogLoss=0.289432 RCNNL1Loss=2.034107
INFO:root:Epoch[0] Batch [560] Speed: 0.26 samples/sec RPNAcc=0.900248 RPNLogLoss=0.251010 RPNL1Loss=0.675872 RCNNAcc=0.874185 RCNNLogLoss=0.288821 RCNNL1Loss=1.979973
INFO:root:Epoch[0] Batch [580] Speed: 0.30 samples/sec RPNAcc=0.900159 RPNLogLoss=0.252489 RPNL1Loss=0.667776 RCNNAcc=0.874045 RCNNLogLoss=0.288114 RCNNL1Loss=1.946799
INFO:root:Epoch[0] Batch [600] Speed: 0.30 samples/sec RPNAcc=0.900122 RPNLogLoss=0.253738 RPNL1Loss=0.655861 RCNNAcc=0.874727 RCNNLogLoss=0.286391 RCNNL1Loss=1.919827
INFO:root:Epoch[0] Batch [620] Speed: 0.39 samples/sec RPNAcc=0.900299 RPNLogLoss=0.254222 RPNL1Loss=0.643061 RCNNAcc=0.876013 RCNNLogLoss=0.283613 RCNNL1Loss=1.894209
INFO:root:Epoch[0] Batch [640] Speed: 0.74 samples/sec RPNAcc=0.900762 RPNLogLoss=0.253900 RPNL1Loss=0.638863 RCNNAcc=0.877218 RCNNLogLoss=0.280870 RCNNL1Loss=1.873936
INFO:root:Epoch[0] Batch [660] Speed: 0.55 samples/sec RPNAcc=0.900775 RPNLogLoss=0.254636 RPNL1Loss=0.644612 RCNNAcc=0.877009 RCNNLogLoss=0.280893 RCNNL1Loss=1.845975
INFO:root:Epoch[0] Batch [680] Speed: 0.61 samples/sec RPNAcc=0.900931 RPNLogLoss=0.255214 RPNL1Loss=0.641204 RCNNAcc=0.878097 RCNNLogLoss=0.278319 RCNNL1Loss=1.812659
INFO:root:Epoch[0] Batch [700] Speed: 0.64 samples/sec RPNAcc=0.901258 RPNLogLoss=0.254986 RPNL1Loss=0.641988 RCNNAcc=0.880221 RCNNLogLoss=0.273679 RCNNL1Loss=1.764503
INFO:root:Epoch[0] Batch [720] Speed: 0.61 samples/sec RPNAcc=0.901873 RPNLogLoss=0.254332 RPNL1Loss=0.638303 RCNNAcc=0.882525 RCNNLogLoss=0.268834 RCNNL1Loss=1.710917
INFO:root:Epoch[0] Batch [740] Speed: 0.50 samples/sec RPNAcc=0.902021 RPNLogLoss=0.254266 RPNL1Loss=0.633941 RCNNAcc=0.885016 RCNNLogLoss=0.263351 RCNNL1Loss=1.660883
INFO:root:Epoch[0] Batch [760] Speed: 0.48 samples/sec RPNAcc=0.902311 RPNLogLoss=0.253982 RPNL1Loss=0.626943 RCNNAcc=0.887448 RCNNLogLoss=0.257938 RCNNL1Loss=1.620504
INFO:root:Epoch[0] Batch [780] Speed: 0.64 samples/sec RPNAcc=0.902429 RPNLogLoss=0.254169 RPNL1Loss=0.627015 RCNNAcc=0.889085 RCNNLogLoss=0.254580 RCNNL1Loss=1.591067
INFO:root:Epoch[0] Batch [800] Speed: 0.55 samples/sec RPNAcc=0.902554 RPNLogLoss=0.254300 RPNL1Loss=0.630958 RCNNAcc=0.889372 RCNNLogLoss=0.253660 RCNNL1Loss=1.574188
INFO:root:Epoch[0] Batch [820] Speed: 0.49 samples/sec RPNAcc=0.902548 RPNLogLoss=0.254546 RPNL1Loss=0.635334 RCNNAcc=0.890006 RCNNLogLoss=0.252298 RCNNL1Loss=1.557188
INFO:root:Epoch[0] Batch [840] Speed: 0.64 samples/sec RPNAcc=0.903094 RPNLogLoss=0.253755 RPNL1Loss=0.632950 RCNNAcc=0.891359 RCNNLogLoss=0.249445 RCNNL1Loss=1.547463
INFO:root:Epoch[0] Batch [860] Speed: 3.98 samples/sec RPNAcc=0.903791 RPNLogLoss=0.253039 RPNL1Loss=0.632308 RCNNAcc=0.890149 RCNNLogLoss=0.257711 RCNNL1Loss=1.561753
INFO:root:Epoch[0] Batch [880] Speed: 4.86 samples/sec RPNAcc=0.904745 RPNLogLoss=0.250062 RPNL1Loss=0.630511 RCNNAcc=0.890767 RCNNLogLoss=0.255843 RCNNL1Loss=1.574943
INFO:root:Epoch[0] Batch [900] Speed: 4.24 samples/sec RPNAcc=0.905877 RPNLogLoss=0.246774 RPNL1Loss=0.628148 RCNNAcc=0.891800 RCNNLogLoss=0.253487 RCNNL1Loss=1.587352
INFO:root:Epoch[0] Batch [920] Speed: 4.73 samples/sec RPNAcc=0.907210 RPNLogLoss=0.242976 RPNL1Loss=0.626454 RCNNAcc=0.893004 RCNNLogLoss=0.250774 RCNNL1Loss=1.598805
INFO:root:Epoch[0] Batch [940] Speed: 4.35 samples/sec RPNAcc=0.908581 RPNLogLoss=0.239367 RPNL1Loss=0.623204 RCNNAcc=0.894415 RCNNLogLoss=0.247416 RCNNL1Loss=1.610573
INFO:root:Epoch[0] Batch [960] Speed: 3.77 samples/sec RPNAcc=0.909108 RPNLogLoss=0.236802 RPNL1Loss=0.620865 RCNNAcc=0.894694 RCNNLogLoss=0.246824 RCNNL1Loss=1.623527
INFO:root:Epoch[0] Batch [980] Speed: 3.75 samples/sec RPNAcc=0.909375 RPNLogLoss=0.234438 RPNL1Loss=0.618544 RCNNAcc=0.895248 RCNNLogLoss=0.245278 RCNNL1Loss=1.632997
INFO:root:Epoch[0] Batch [1000] Speed: 4.33 samples/sec RPNAcc=0.910350 RPNLogLoss=0.231555 RPNL1Loss=0.615661 RCNNAcc=0.896198 RCNNLogLoss=0.243115 RCNNL1Loss=1.643480
INFO:root:Epoch[0] Batch [1020] Speed: 3.65 samples/sec RPNAcc=0.911275 RPNLogLoss=0.229012 RPNL1Loss=0.612912 RCNNAcc=0.896972 RCNNLogLoss=0.241464 RCNNL1Loss=1.654004
INFO:root:Epoch[0] Batch [1040] Speed: 4.40 samples/sec RPNAcc=0.912371 RPNLogLoss=0.225913 RPNL1Loss=0.609690 RCNNAcc=0.898115 RCNNLogLoss=0.238919 RCNNL1Loss=1.658991
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