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- I0113 12:58:03.293112 58995 sgd_solver.cpp:106] Iteration 12000, lr = 0.01
- I0113 12:58:06.890347 58995 hdf5_data_layer.cpp:28] Loading HDF5 file: /home/fe/data/train/train15.h5
- I0113 12:58:22.206460 58995 hdf5_data_layer.cpp:67] Successully loaded 2000 rows
- I0113 12:58:25.657734 58995 hdf5_data_layer.cpp:28] Loading HDF5 file: /home/fe/data/train/train150.h5
- I0113 12:58:40.830624 58995 hdf5_data_layer.cpp:67] Successully loaded 2000 rows
- I0113 12:58:42.552274 58995 solver.cpp:341] Iteration 12500, Testing net (#0)
- I0113 12:58:42.552296 58995 net.cpp:751] Copying source layer data
- I0113 12:58:42.552304 58995 net.cpp:751] Copying source layer conv1
- I0113 12:58:42.552314 58995 net.cpp:751] Copying source layer relu1
- I0113 12:58:42.552320 58995 net.cpp:751] Copying source layer pool1
- I0113 12:58:42.552326 58995 net.cpp:751] Copying source layer conv2
- I0113 12:58:42.552332 58995 net.cpp:751] Copying source layer relu2
- I0113 12:58:42.552338 58995 net.cpp:751] Copying source layer pool2
- I0113 12:58:42.552345 58995 net.cpp:751] Copying source layer conv3
- I0113 12:58:42.552351 58995 net.cpp:751] Copying source layer relu3
- I0113 12:58:42.552357 58995 net.cpp:751] Copying source layer pool3
- I0113 12:58:42.552362 58995 net.cpp:751] Copying source layer conv4
- I0113 12:58:42.552371 58995 net.cpp:751] Copying source layer relu4
- I0113 12:58:42.552377 58995 net.cpp:751] Copying source layer pool4
- I0113 12:58:42.552384 58995 net.cpp:751] Copying source layer fc6
- I0113 12:58:42.552392 58995 net.cpp:751] Copying source layer relu6
- I0113 12:58:42.552399 58995 net.cpp:751] Copying source layer drop6
- I0113 12:58:42.552405 58995 net.cpp:751] Copying source layer fc7
- I0113 12:58:42.552413 58995 net.cpp:751] Copying source layer relu7
- I0113 12:58:42.552420 58995 net.cpp:751] Copying source layer drop7
- I0113 12:58:42.552428 58995 net.cpp:751] Copying source layer fc8
- I0113 12:58:42.552434 58995 net.cpp:751] Copying source layer loss
- I0113 12:58:43.751709 58995 solver.cpp:409] Test net output #0: accuracy = 0.017
- I0113 12:58:43.751744 58995 solver.cpp:409] Test net output #1: loss = 4.56141 (* 1 = 4.56141 loss)
- I0113 12:58:43.757498 58995 solver.cpp:237] Iteration 12500, loss = 4.46834
- I0113 12:58:43.757522 58995 solver.cpp:253] Train net output #0: loss = 4.46834 (* 1 = 4.46834 loss)
- I0113 12:58:43.757531 58995 sgd_solver.cpp:106] Iteration 12500, lr = 0.01
- I0113 12:58:45.471390 58995 hdf5_data_layer.cpp:28] Loading HDF5 file: /home/fe/data/train/train151.h5
- I0113 12:59:01.429360 58995 hdf5_data_layer.cpp:67] Successully loaded 2000 rows
- I0113 12:59:05.038341 58995 hdf5_data_layer.cpp:28] Loading HDF5 file: /home/fe/data/train/train152.h5
- I0113 12:59:19.637359 58995 hdf5_data_layer.cpp:67] Successully loaded 2000 rows
- I0113 12:59:23.091044 58995 solver.cpp:341] Iteration 13000, Testing net (#0)
- I0113 12:59:23.091066 58995 net.cpp:751] Copying source layer data
- I0113 12:59:23.091074 58995 net.cpp:751] Copying source layer conv1
- I0113 12:59:23.091084 58995 net.cpp:751] Copying source layer relu1
- I0113 12:59:23.091090 58995 net.cpp:751] Copying source layer pool1
- I0113 12:59:23.091096 58995 net.cpp:751] Copying source layer conv2
- I0113 12:59:23.091102 58995 net.cpp:751] Copying source layer relu2
- I0113 12:59:23.091109 58995 net.cpp:751] Copying source layer pool2
- I0113 12:59:23.091115 58995 net.cpp:751] Copying source layer conv3
- I0113 12:59:23.091123 58995 net.cpp:751] Copying source layer relu3
- I0113 12:59:23.091130 58995 net.cpp:751] Copying source layer pool3
- I0113 12:59:23.091135 58995 net.cpp:751] Copying source layer conv4
- I0113 12:59:23.091141 58995 net.cpp:751] Copying source layer relu4
- I0113 12:59:23.091147 58995 net.cpp:751] Copying source layer pool4
- I0113 12:59:23.091153 58995 net.cpp:751] Copying source layer fc6
- I0113 12:59:23.091162 58995 net.cpp:751] Copying source layer relu6
- I0113 12:59:23.091169 58995 net.cpp:751] Copying source layer drop6
- I0113 12:59:23.091177 58995 net.cpp:751] Copying source layer fc7
- I0113 12:59:23.091184 58995 net.cpp:751] Copying source layer relu7
- I0113 12:59:23.091192 58995 net.cpp:751] Copying source layer drop7
- I0113 12:59:23.091197 58995 net.cpp:751] Copying source layer fc8
- I0113 12:59:23.091204 58995 net.cpp:751] Copying source layer loss
- I0113 12:59:23.091217 58995 hdf5_data_layer.cpp:28] Loading HDF5 file: /home/fe/data/test/test11.h5
- I0113 12:59:24.147009 58995 hdf5_data_layer.cpp:67] Successully loaded 2000 rows
- I0113 12:59:25.338119 58995 solver.cpp:409] Test net output #0: accuracy = 0.025
- I0113 12:59:25.338155 58995 solver.cpp:409] Test net output #1: loss = 4.57729 (* 1 = 4.57729 loss)
- I0113 12:59:25.338171 58995 hdf5_data_layer.cpp:28] Loading HDF5 file: /home/fe/data/train/train153.h5
- I0113 12:59:37.839752 58995 hdf5_data_layer.cpp:67] Successully loaded 2000 rows
- I0113 12:59:37.849611 58995 solver.cpp:237] Iteration 13000, loss = 4.40194
- I0113 12:59:37.849678 58995 solver.cpp:253] Train net output #0: loss = 4.40194 (* 1 = 4.40194 loss)
- I0113 12:59:37.849699 58995 sgd_solver.cpp:106] Iteration 13000, lr = 0.01
- I0113 12:59:41.448468 58995 hdf5_data_layer.cpp:28] Loading HDF5 file: /home/fe/data/train/train154.h5
- I0113 12:59:54.316100 58995 hdf5_data_layer.cpp:67] Successully loaded 2000 rows
- I0113 12:59:57.767000 58995 hdf5_data_layer.cpp:28] Loading HDF5 file: /home/fe/data/train/train155.h5
- I0113 13:00:20.386204 58995 hdf5_data_layer.cpp:67] Successully loaded 2000 rows
- I0113 13:00:22.249852 58995 solver.cpp:341] Iteration 13500, Testing net (#0)
- I0113 13:00:22.249883 58995 net.cpp:751] Copying source layer data
- I0113 13:00:22.249891 58995 net.cpp:751] Copying source layer conv1
- I0113 13:00:22.249902 58995 net.cpp:751] Copying source layer relu1
- I0113 13:00:22.249908 58995 net.cpp:751] Copying source layer pool1
- I0113 13:00:22.249914 58995 net.cpp:751] Copying source layer conv2
- I0113 13:00:22.249920 58995 net.cpp:751] Copying source layer relu2
- I0113 13:00:22.249927 58995 net.cpp:751] Copying source layer pool2
- I0113 13:00:22.249934 58995 net.cpp:751] Copying source layer conv3
- I0113 13:00:22.249941 58995 net.cpp:751] Copying source layer relu3
- I0113 13:00:22.249946 58995 net.cpp:751] Copying source layer pool3
- I0113 13:00:22.249953 58995 net.cpp:751] Copying source layer conv4
- I0113 13:00:22.249959 58995 net.cpp:751] Copying source layer relu4
- I0113 13:00:22.249966 58995 net.cpp:751] Copying source layer pool4
- I0113 13:00:22.249972 58995 net.cpp:751] Copying source layer fc6
- I0113 13:00:22.249979 58995 net.cpp:751] Copying source layer relu6
- I0113 13:00:22.249985 58995 net.cpp:751] Copying source layer drop6
- I0113 13:00:22.249991 58995 net.cpp:751] Copying source layer fc7
- I0113 13:00:22.250000 58995 net.cpp:751] Copying source layer relu7
- I0113 13:00:22.250007 58995 net.cpp:751] Copying source layer drop7
- I0113 13:00:22.250015 58995 net.cpp:751] Copying source layer fc8
- I0113 13:00:22.250022 58995 net.cpp:751] Copying source layer loss
- I0113 13:00:23.449766 58995 solver.cpp:409] Test net output #0: accuracy = 0.022
- I0113 13:00:23.449800 58995 solver.cpp:409] Test net output #1: loss = 4.57401 (* 1 = 4.57401 loss)
- I0113 13:00:23.455545 58995 solver.cpp:237] Iteration 13500, loss = 4.42489
- I0113 13:00:23.455569 58995 solver.cpp:253] Train net output #0: loss = 4.42489 (* 1 = 4.42489 loss)
- I0113 13:00:23.455579 58995 sgd_solver.cpp:106] Iteration 13500, lr = 0.01
- I0113 13:00:25.171993 58995 hdf5_data_layer.cpp:28] Loading HDF5 file: /home/fe/data/train/train156.h5
- I0113 13:00:38.634428 58995 hdf5_data_layer.cpp:67] Successully loaded 2000 rows
- I0113 13:00:42.083503 58995 hdf5_data_layer.cpp:28] Loading HDF5 file: /home/fe/data/train/train157.h5
- I0113 13:00:54.787993 58995 hdf5_data_layer.cpp:67] Successully loaded 2000 rows
- I0113 13:00:58.247161 58995 solver.cpp:341] Iteration 14000, Testing net (#0)
- I0113 13:00:58.247187 58995 net.cpp:751] Copying source layer data
- I0113 13:00:58.247195 58995 net.cpp:751] Copying source layer conv1
- I0113 13:00:58.247205 58995 net.cpp:751] Copying source layer relu1
- I0113 13:00:58.247211 58995 net.cpp:751] Copying source layer pool1
- I0113 13:00:58.247217 58995 net.cpp:751] Copying source layer conv2
- I0113 13:00:58.247223 58995 net.cpp:751] Copying source layer relu2
- I0113 13:00:58.247230 58995 net.cpp:751] Copying source layer pool2
- I0113 13:00:58.247236 58995 net.cpp:751] Copying source layer conv3
- I0113 13:00:58.247242 58995 net.cpp:751] Copying source layer relu3
- I0113 13:00:58.247247 58995 net.cpp:751] Copying source layer pool3
- I0113 13:00:58.247253 58995 net.cpp:751] Copying source layer conv4
- I0113 13:00:58.247261 58995 net.cpp:751] Copying source layer relu4
- I0113 13:00:58.247267 58995 net.cpp:751] Copying source layer pool4
- I0113 13:00:58.247272 58995 net.cpp:751] Copying source layer fc6
- I0113 13:00:58.247279 58995 net.cpp:751] Copying source layer relu6
- I0113 13:00:58.247287 58995 net.cpp:751] Copying source layer drop6
- I0113 13:00:58.247293 58995 net.cpp:751] Copying source layer fc7
- I0113 13:00:58.247301 58995 net.cpp:751] Copying source layer relu7
- I0113 13:00:58.247308 58995 net.cpp:751] Copying source layer drop7
- I0113 13:00:58.247315 58995 net.cpp:751] Copying source layer fc8
- I0113 13:00:58.247323 58995 net.cpp:751] Copying source layer loss
- I0113 13:00:58.247336 58995 hdf5_data_layer.cpp:28] Loading HDF5 file: /home/fe/data/test/test11new.h5
- I0113 13:01:10.456662 58995 hdf5_data_layer.cpp:67] Successully loaded 2000 rows
- I0113 13:01:11.827154 58995 solver.cpp:409] Test net output #0: accuracy = 0.025
- I0113 13:01:11.827190 58995 solver.cpp:409] Test net output #1: loss = 4.53299 (* 1 = 4.53299 loss)
- I0113 13:01:11.827206 58995 hdf5_data_layer.cpp:28] Loading HDF5 file: /home/fe/data/train/train158.h5
- I0113 13:01:24.604118 58995 hdf5_data_layer.cpp:67] Successully loaded 2000 rows
- I0113 13:01:24.610822 58995 solver.cpp:237] Iteration 14000, loss = 4.32262
- I0113 13:01:24.610888 58995 solver.cpp:253] Train net output #0: loss = 4.32262 (* 1 = 4.32262 loss)
- I0113 13:01:24.610910 58995 sgd_solver.cpp:106] Iteration 14000, lr = 0.01
- I0113 13:01:28.059690 58995 hdf5_data_layer.cpp:28] Loading HDF5 file: /home/fe/data/train/train159.h5
- I0113 13:01:40.261600 58995 hdf5_data_layer.cpp:67] Successully loaded 2000 rows
- I0113 13:01:43.723858 58995 hdf5_data_layer.cpp:28] Loading HDF5 file: /home/fe/data/train/train15new.h5
- ^C^C^C^C^C^CI0113 13:01:56.880349 58995 hdf5_data_layer.cpp:67] Successully loaded 2000 rows
- I0113 13:01:56.889833 58995 solver.cpp:459] Snapshotting to binary proto file models/mv16f/mv_16__iter_14401.caffemodel
- I0113 13:01:56.889878 58995 net.cpp:918] Serializing 21 layers
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