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This repository has been archived by the owner on Nov 17, 2023. It is now read-only.
Please paste the full error message, including stack trace.
[ruifeng.shan@data.cn1 /home/q/mxnet/example/ssd]$ python train.py
INFO:root:Start training with (cpu(0)) from pretrained model /home/q/mxnet/example/ssd/model/vgg16_reduced
[19:50:06] src/nnvm/legacy_json_util.cc:175: Loading symbol saved by previous version v0.8.0. Attempting to upgrade...
INFO:root:Freezed parameters: [conv1_1_weight,conv1_1_bias,conv1_2_weight,conv1_2_bias,conv2_1_weight,conv2_1_bias,conv2_2_weight,conv2_2_bias]
[19:51:04] /home/q/mxnet/dmlc-core/include/dmlc/./logging.h:300: [19:51:04] example/ssd/operator/multibox_target.cc:215: Check failed: temp.size() >= num_negative (0 vs. 3)
Stack trace returned 9 entries:
[bt] (0) /home/q/anaconda/anaconda2/lib/python2.7/site-packages/mxnet-0.9.4-py2.7.egg/mxnet/libmxnet.so(_ZN4dmlc15LogMessageFatalD1Ev+0x29) [0x7fcba685ab79]
[bt] (1) /home/q/anaconda/anaconda2/lib/python2.7/site-packages/mxnet-0.9.4-py2.7.egg/mxnet/libmxnet.so(_ZN7mshadow21MultiBoxTargetForwardIfEEvRKNS_6TensorINS_3cpuELi2ET_EES6_S6_S6_RKNS1_IS2_Li3ES3_EES9_RKNS1_IS2_Li4ES3_EEffffiRKSt6vectorIfSaIfEE+0x1da1) [0x7fcba745aa31]
[bt] (2) /home/q/anaconda/anaconda2/lib/python2.7/site-packages/mxnet-0.9.4-py2.7.egg/mxnet/libmxnet.so(_ZN5mxnet2op16MultiBoxTargetOpIN7mshadow3cpuEfE7ForwardERKNS_9OpContextERKSt6vectorINS_5TBlobESaIS9_EERKS8_INS_9OpReqTypeESaISE_EESD_SD_+0x1dba) [0x7fcba7464e1a]
[bt] (3) /home/q/anaconda/anaconda2/lib/python2.7/site-packages/mxnet-0.9.4-py2.7.egg/mxnet/libmxnet.so(+0xe8694f) [0x7fcba740e94f]
[bt] (4) /home/q/anaconda/anaconda2/lib/python2.7/site-packages/mxnet-0.9.4-py2.7.egg/mxnet/libmxnet.so(_ZN5mxnet6engine14ThreadedEngine15ExecuteOprBlockENS_10RunContextEPNS0_8OprBlockE+0x7f) [0x7fcba73cafff]
[bt] (5) /home/q/anaconda/anaconda2/lib/python2.7/site-packages/mxnet-0.9.4-py2.7.egg/mxnet/libmxnet.so(_ZNSt17_Function_handlerIFvvEZZN5mxnet6engine23ThreadedEnginePerDevice13PushToExecuteEPNS2_8OprBlockEbENKUlvE_clEvEUlvE_E9_M_invokeERKSt9_Any_data+0x2e) [0x7fcba73cd84e]
[bt] (6) /home/q/anaconda/anaconda2/bin/../lib/libstdc++.so.6(+0xb4870) [0x7fcba27cb870]
[bt] (7) /lib64/libpthread.so.0(+0x7dc5) [0x7fcbb74d5dc5]
[bt] (8) /lib64/libc.so.6(clone+0x6d) [0x7fcbb6af9ced]
[19:51:04] /home/q/mxnet/dmlc-core/include/dmlc/./logging.h:300: [19:51:04] src/engine/./threaded_engine.h:336: [19:51:04] example/ssd/operator/multibox_target.cc:215: Check failed: temp.size() >= num_negative (0 vs. 3)
Stack trace returned 9 entries:
[bt] (0) /home/q/anaconda/anaconda2/lib/python2.7/site-packages/mxnet-0.9.4-py2.7.egg/mxnet/libmxnet.so(_ZN4dmlc15LogMessageFatalD1Ev+0x29) [0x7fcba685ab79]
[bt] (1) /home/q/anaconda/anaconda2/lib/python2.7/site-packages/mxnet-0.9.4-py2.7.egg/mxnet/libmxnet.so(_ZN7mshadow21MultiBoxTargetForwardIfEEvRKNS_6TensorINS_3cpuELi2ET_EES6_S6_S6_RKNS1_IS2_Li3ES3_EES9_RKNS1_IS2_Li4ES3_EEffffiRKSt6vectorIfSaIfEE+0x1da1) [0x7fcba745aa31]
[bt] (2) /home/q/anaconda/anaconda2/lib/python2.7/site-packages/mxnet-0.9.4-py2.7.egg/mxnet/libmxnet.so(_ZN5mxnet2op16MultiBoxTargetOpIN7mshadow3cpuEfE7ForwardERKNS_9OpContextERKSt6vectorINS_5TBlobESaIS9_EERKS8_INS_9OpReqTypeESaISE_EESD_SD_+0x1dba) [0x7fcba7464e1a]
[bt] (3) /home/q/anaconda/anaconda2/lib/python2.7/site-packages/mxnet-0.9.4-py2.7.egg/mxnet/libmxnet.so(+0xe8694f) [0x7fcba740e94f]
[bt] (4) /home/q/anaconda/anaconda2/lib/python2.7/site-packages/mxnet-0.9.4-py2.7.egg/mxnet/libmxnet.so(_ZN5mxnet6engine14ThreadedEngine15ExecuteOprBlockENS_10RunContextEPNS0_8OprBlockE+0x7f) [0x7fcba73cafff]
[bt] (5) /home/q/anaconda/anaconda2/lib/python2.7/site-packages/mxnet-0.9.4-py2.7.egg/mxnet/libmxnet.so(_ZNSt17_Function_handlerIFvvEZZN5mxnet6engine23ThreadedEnginePerDevice13PushToExecuteEPNS2_8OprBlockEbENKUlvE_clEvEUlvE_E9_M_invokeERKSt9_Any_data+0x2e) [0x7fcba73cd84e]
[bt] (6) /home/q/anaconda/anaconda2/bin/../lib/libstdc++.so.6(+0xb4870) [0x7fcba27cb870]
[bt] (7) /lib64/libpthread.so.0(+0x7dc5) [0x7fcbb74d5dc5]
[bt] (8) /lib64/libc.so.6(clone+0x6d) [0x7fcbb6af9ced]
An fatal error occurred in asynchronous engine operation. If you do not know what caused this error, you can try set environment variable MXNET_ENGINE_TYPE to NaiveEngine and run with debugger (i.e. gdb). This will force all operations to be synchronous and backtrace will give you the series of calls that lead to this error. Remember to set MXNET_ENGINE_TYPE back to empty after debugging.
Stack trace returned 6 entries:
[bt] (0) /home/q/anaconda/anaconda2/lib/python2.7/site-packages/mxnet-0.9.4-py2.7.egg/mxnet/libmxnet.so(_ZN4dmlc15LogMessageFatalD1Ev+0x29) [0x7fcba685ab79]
[bt] (1) /home/q/anaconda/anaconda2/lib/python2.7/site-packages/mxnet-0.9.4-py2.7.egg/mxnet/libmxnet.so(_ZN5mxnet6engine14ThreadedEngine15ExecuteOprBlockENS_10RunContextEPNS0_8OprBlockE+0x301) [0x7fcba73cb281]
[bt] (2) /home/q/anaconda/anaconda2/lib/python2.7/site-packages/mxnet-0.9.4-py2.7.egg/mxnet/libmxnet.so(_ZNSt17_Function_handlerIFvvEZZN5mxnet6engine23ThreadedEnginePerDevice13PushToExecuteEPNS2_8OprBlockEbENKUlvE_clEvEUlvE_E9_M_invokeERKSt9_Any_data+0x2e) [0x7fcba73cd84e]
[bt] (3) /home/q/anaconda/anaconda2/bin/../lib/libstdc++.so.6(+0xb4870) [0x7fcba27cb870]
[bt] (4) /lib64/libpthread.so.0(+0x7dc5) [0x7fcbb74d5dc5]
[bt] (5) /lib64/libc.so.6(clone+0x6d) [0x7fcbb6af9ced]
terminate called after throwing an instance of 'dmlc::Error'
what(): [19:51:04] src/engine/./threaded_engine.h:336: [19:51:04] example/ssd/operator/multibox_target.cc:215: Check failed: temp.size() >= num_negative (0 vs. 3)
Stack trace returned 9 entries:
[bt] (0) /home/q/anaconda/anaconda2/lib/python2.7/site-packages/mxnet-0.9.4-py2.7.egg/mxnet/libmxnet.so(_ZN4dmlc15LogMessageFatalD1Ev+0x29) [0x7fcba685ab79]
[bt] (1) /home/q/anaconda/anaconda2/lib/python2.7/site-packages/mxnet-0.9.4-py2.7.egg/mxnet/libmxnet.so(_ZN7mshadow21MultiBoxTargetForwardIfEEvRKNS_6TensorINS_3cpuELi2ET_EES6_S6_S6_RKNS1_IS2_Li3ES3_EES9_RKNS1_IS2_Li4ES3_EEffffiRKSt6vectorIfSaIfEE+0x1da1) [0x7fcba745aa31]
[bt] (2) /home/q/anaconda/anaconda2/lib/python2.7/site-packages/mxnet-0.9.4-py2.7.egg/mxnet/libmxnet.so(_ZN5mxnet2op16MultiBoxTargetOpIN7mshadow3cpuEfE7ForwardERKNS_9OpContextERKSt6vectorINS_5TBlobESaIS9_EERKS8_INS_9OpReqTypeESaISE_EESD_SD_+0x1dba) [0x7fcba7464e1a]
[bt] (3) /home/q/anaconda/anaconda2/lib/python2.7/site-packages/mxnet-0.9.4-py2.7.egg/mxnet/libmxnet.so(+0xe8694f) [0x7fcba740e94f]
[bt] (4) /home/q/anaconda/anaconda2/lib/python2.7/site-packages/mxnet-0.9.4-py2.7.egg/mxnet/libmxnet.so(_ZN5mxnet6engine14ThreadedEngine15ExecuteOprBlockENS_10RunContextEPNS0_8OprBlockE+0x7f) [0x7fcba73cafff]
[bt] (5) /home/q/anaconda/anaconda2/lib/python2.7/site-packages/mxnet-0.9.4-py2.7.egg/mxnet/libmxnet.so(_ZNSt17_Function_handlerIFvvEZZN5mxnet6engine23ThreadedEnginePerDevice13PushToExecuteEPNS2_8OprBlockEbENKUlvE_clEvEUlvE_E9_M_invokeERKSt9_Any_data+0x2e) [0x7fcba73cd84e]
[bt] (6) /home/q/anaconda/anaconda2/bin/../lib/libstdc++.so.6(+0xb4870) [0x7fcba27cb870]
[bt] (7) /lib64/libpthread.so.0(+0x7dc5) [0x7fcbb74d5dc5]
[bt] (8) /lib64/libc.so.6(clone+0x6d) [0x7fcbb6af9ced]
An fatal error occurred in asynchronous engine operation. If you do not know what caused this error, you can try set environment variable MXNET_ENGINE_TYPE to NaiveEngine and run with debugger (i.e. gdb). This will force all operations to be synchronous and backtrace will give you the series of calls that lead to this error. Remember to set MXNET_ENGINE_TYPE back to empty after debugging.
Stack trace returned 6 entries:
[bt] (0) /home/q/anaconda/anaconda2/lib/python2.7/site-packages/mxnet-0.9.4-py2.7.egg/mxnet/libmxnet.so(_ZN4dmlc15LogMessageFatalD1Ev+0x29) [0x7fcba685ab79]
[bt] (1) /home/q/anaconda/anaconda2/lib/python2.7/site-packages/mxnet-0.9.4-py2.7.egg/mxnet/libmxnet.so(_ZN5mxnet6engine14ThreadedEngine15ExecuteOprBlockENS_10RunContextEPNS0_8OprBlockE+0x301) [0x7fcba73cb281]
[bt] (2) /home/q/anaconda/anaconda2/lib/python2.7/site-packages/mxnet-0.9.4-py2.7.egg/mxnet/libmxnet.so(_ZNSt17_Function_handlerIFvvEZZN5mxnet6engine23ThreadedEnginePerDevice13PushToExecuteEPNS2_8OprBlockEbENKUlvE_clEvEUlvE_E9_M_invokeERKSt9_Any_data+0x2e) [0x7fcba73cd84e]
[bt] (3) /home/q/anaconda/anaconda2/bin/../lib/libstdc++.so.6(+0xb4870) [0x7fcba27cb870]
[bt] (4) /lib64/libpthread.so.0(+0x7dc5) [0x7fcbb74d5dc5]
[bt] (5) /lib64/libc.so.6(clone+0x6d) [0x7fcbb6af9ced]
Aborted
Minimum reproducible example
if you are using your own code, please provide a short script that reproduces the error.
Steps to reproduce
or if you are running standard examples, please provide the commands you have run that lead to the error.
install mxnet by offical instruction.
download dataset by ssd readme text.
cd /home/q/mxnet/example/ssd and run python train.py
What have you tried to solve it?
I searched by google, and someone faced this error also. but nobody share their solutions.
I'm a newer for deep learn and mxnet. only have cpu machine, maybe I should buy a computer with N card.
Thanks for your reply.
The text was updated successfully, but these errors were encountered:
Environment info
Operating System:
centos 7
Compiler:
gcc 4.8.5
Package used (Python/R/Scala/Julia):
python 2.7.12
MXNet version:
Or if installed from source:
yes, 0.8.0
MXNet commit hash (
git rev-parse HEAD
):8b28b8c
If you are using python package, please provide
Python version and distribution:
python 2.7.12
If you are using R package, please provide
R
sessionInfo()
:Error Message:
Please paste the full error message, including stack trace.
Minimum reproducible example
if you are using your own code, please provide a short script that reproduces the error.
Steps to reproduce
or if you are running standard examples, please provide the commands you have run that lead to the error.
cd /home/q/mxnet/example/ssd
and runpython train.py
What have you tried to solve it?
I searched by google, and someone faced this error also. but nobody share their solutions.
I'm a newer for deep learn and mxnet. only have cpu machine, maybe I should buy a computer with N card.
Thanks for your reply.
The text was updated successfully, but these errors were encountered: