Created by: sunnysuhappy

我用docker安装的，使用了cpu版本，进行vgg或者resNet训练时候报错 I0307 09:38:06.377203 355 Util.cpp:130] Calling runInitFunctions I0307 09:38:06.377521 355 Util.cpp:143] Call runInitFunctions done. [INFO 2017-03-07 09:38:06,464 layers.py:1890] channels=3 size=3072 [INFO 2017-03-07 09:38:06,464 layers.py:1890] output size for conv_0 is 32 [INFO 2017-03-07 09:38:06,466 layers.py:1890] channels=64 size=65536 [INFO 2017-03-07 09:38:06,466 layers.py:1890] output size for conv_1 is 32 [INFO 2017-03-07 09:38:06,468 layers.py:1985] output size for pool_0 is 1616 [INFO 2017-03-07 09:38:06,469 layers.py:1890] channels=64 size=16384 [INFO 2017-03-07 09:38:06,469 layers.py:1890] output size for conv_2 is 16 [INFO 2017-03-07 09:38:06,471 layers.py:1890] channels=128 size=32768 [INFO 2017-03-07 09:38:06,471 layers.py:1890] output size for conv_3 is 16 [INFO 2017-03-07 09:38:06,472 layers.py:1985] output size for pool_1 is 88 [INFO 2017-03-07 09:38:06,473 layers.py:1890] channels=128 size=8192 [INFO 2017-03-07 09:38:06,473 layers.py:1890] output size for conv_4 is 8 [INFO 2017-03-07 09:38:06,475 layers.py:1890] channels=256 size=16384 [INFO 2017-03-07 09:38:06,475 layers.py:1890] output size for conv_5 is 8 [INFO 2017-03-07 09:38:06,477 layers.py:1890] channels=256 size=16384 [INFO 2017-03-07 09:38:06,478 layers.py:1890] output size for conv_6 is 8 [INFO 2017-03-07 09:38:06,479 layers.py:1985] output size for pool_2 is 44 [INFO 2017-03-07 09:38:06,480 layers.py:1890] channels=256 size=4096 [INFO 2017-03-07 09:38:06,481 layers.py:1890] output size for conv_7 is 4 [INFO 2017-03-07 09:38:06,483 layers.py:1890] channels=512 size=8192 [INFO 2017-03-07 09:38:06,483 layers.py:1890] output size for conv_8 is 4 [INFO 2017-03-07 09:38:06,485 layers.py:1890] channels=512 size=8192 [INFO 2017-03-07 09:38:06,485 layers.py:1890] output size for conv_9 is 4 [INFO 2017-03-07 09:38:06,487 layers.py:1985] output size for pool_3 is 22 [INFO 2017-03-07 09:38:06,488 layers.py:1890] channels=512 size=2048 [INFO 2017-03-07 09:38:06,488 layers.py:1890] output size for conv_10 is 2 [INFO 2017-03-07 09:38:06,490 layers.py:1890] channels=512 size=2048 [INFO 2017-03-07 09:38:06,490 layers.py:1890] output size for conv_11 is 2 [INFO 2017-03-07 09:38:06,491 layers.py:1890] channels=512 size=2048 [INFO 2017-03-07 09:38:06,491 layers.py:1890] output size for conv_12 is 2 [INFO 2017-03-07 09:38:06,493 layers.py:1985] output size for pool_4 is 1*1 [INFO 2017-03-07 09:38:06,495 networks.py:1466] The input order is [image, label] [INFO 2017-03-07 09:38:06,495 networks.py:1472] The output order is [cost_0] I0307 09:38:06.502377 355 Trainer.cpp:170] trainer mode: Normal I0307 09:38:06.710746 355 PyDataProvider2.cpp:257] loading dataprovider dataprovider::process I0307 09:38:06.712720 355 PyDataProvider2.cpp:257] loading dataprovider dataprovider::process I0307 09:38:06.713508 355 GradientMachine.cpp:134] Initing parameters.. I0307 09:38:07.561144 355 GradientMachine.cpp:141] Init parameters done. I0307 09:38:10.089026 364 ThreadLocal.cpp:37] thread use undeterministic rand seed:365 I0307 09:38:10.251857 357 ThreadLocal.cpp:37] thread use undeterministic rand seed:358 I0307 09:38:10.296422 356 ThreadLocal.cpp:37] thread use undeterministic rand seed:357 I0307 09:38:10.305033 359 ThreadLocal.cpp:37] thread use undeterministic rand seed:360 I0307 09:38:10.348325 358 ThreadLocal.cpp:37] thread use undeterministic rand seed:359 /usr/local/bin/paddle: line 109: 355 Killed ${DEBUGGER} $MYDIR/../opt/paddle/bin/paddle_trainer ${@:2}