Created by: lilei461536135

larry@L~eBook:~/Documents/Paddle/Paddle-master/demo/image_classification$ sh train.sh I1015 11:51:56.208109 7998 Util.cpp:151] commandline: /usr/bin/../opt/paddle/bin/paddle_trainer --config=vgg_16_cifar.py --dot_period=10 --log_period=100 --test_all_data_in_one_period=1 --use_gpu=0 --trainer_count=1 --num_passes=200 --save_dir=./cifar_vgg_model I1015 11:51:56.208637 7998 Util.cpp:126] Calling runInitFunctions I1015 11:51:56.209271 7998 Util.cpp:139] Call runInitFunctions done. [INFO 2016-10-15 11:51:56,626 layers.py:1620] channels=3 size=3072 [INFO 2016-10-15 11:51:56,627 layers.py:1620] output size for conv_0 is 32 [INFO 2016-10-15 11:51:56,632 layers.py:1620] channels=64 size=65536 [INFO 2016-10-15 11:51:56,633 layers.py:1620] output size for conv_1 is 32 [INFO 2016-10-15 11:51:56,638 layers.py:1681] output size for pool_0 is 16_16 [INFO 2016-10-15 11:51:56,641 layers.py:1620] channels=64 size=16384 [INFO 2016-10-15 11:51:56,641 layers.py:1620] output size for conv_2 is 16 [INFO 2016-10-15 11:51:56,646 layers.py:1620] channels=128 size=32768 [INFO 2016-10-15 11:51:56,647 layers.py:1620] output size for conv_3 is 16 [INFO 2016-10-15 11:51:56,651 layers.py:1681] output size for pool_1 is 8_8 [INFO 2016-10-15 11:51:56,653 layers.py:1620] channels=128 size=8192 [INFO 2016-10-15 11:51:56,654 layers.py:1620] output size for conv_4 is 8 [INFO 2016-10-15 11:51:56,659 layers.py:1620] channels=256 size=16384 [INFO 2016-10-15 11:51:56,660 layers.py:1620] output size for conv_5 is 8 [INFO 2016-10-15 11:51:56,663 layers.py:1620] channels=256 size=16384 [INFO 2016-10-15 11:51:56,664 layers.py:1620] output size for conv_6 is 8 [INFO 2016-10-15 11:51:56,667 layers.py:1681] output size for pool_2 is 4_4 [INFO 2016-10-15 11:51:56,668 layers.py:1620] channels=256 size=4096 [INFO 2016-10-15 11:51:56,669 layers.py:1620] output size for conv_7 is 4 [INFO 2016-10-15 11:51:56,672 layers.py:1620] channels=512 size=8192 [INFO 2016-10-15 11:51:56,672 layers.py:1620] output size for conv_8 is 4 [INFO 2016-10-15 11:51:56,675 layers.py:1620] channels=512 size=8192 [INFO 2016-10-15 11:51:56,676 layers.py:1620] output size for conv_9 is 4 [INFO 2016-10-15 11:51:56,678 layers.py:1681] output size for pool_3 is 2_2 [INFO 2016-10-15 11:51:56,679 layers.py:1681] output size for pool_4 is 1*1 [INFO 2016-10-15 11:51:56,685 networks.py:1125] The input order is [image, label] [INFO 2016-10-15 11:51:56,685 networks.py:1132] The output order is [cost_0] I1015 11:51:56.701963 7998 Trainer.cpp:170] trainer mode: Normal I1015 11:51:56.746357 7998 PyDataProvider2.cpp:247] loading dataprovider image_provider::processData [INFO 2016-10-15 11:51:56,946 image_provider.py:52] Image size: 32 [INFO 2016-10-15 11:51:56,946 image_provider.py:53] Meta path: data/cifar-out/batches/batches.meta [INFO 2016-10-15 11:51:56,946 image_provider.py:58] DataProvider Initialization finished I1015 11:51:56.947093 7998 PyDataProvider2.cpp:247] loading dataprovider image_provider::processData [INFO 2016-10-15 11:51:56,968 image_provider.py:52] Image size: 32 [INFO 2016-10-15 11:51:56,969 image_provider.py:53] Meta path: data/cifar-out/batches/batches.meta [INFO 2016-10-15 11:51:56,969 image_provider.py:58] DataProvider Initialization finished I1015 11:51:57.007619 7998 GradientMachine.cpp:134] Initing parameters.. I1015 11:51:57.599355 7998 GradientMachine.cpp:141] Init parameters done. /usr/bin/paddle: line 81: 7998 Killed ${DEBUGGER} $MYDIR/../opt/paddle/bin/paddle_trainer ${@:2} No data to plot. Exiting!

Does process 7998 killed normally?