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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/01/11 22:07:05 UTC

[GitHub] eric-haibin-lin opened a new issue #9382: Failed kvstore nightly test

eric-haibin-lin opened a new issue #9382: Failed kvstore nightly test
URL: https://github.com/apache/incubator-mxnet/issues/9382
 
 
   http://jenkins-master-elb-1979848568.us-east-1.elb.amazonaws.com/job/KVStore_SingleNode_Tests/77/console
   
   The nightly test "test_kvstore.py" has been failing for the past week.
   
   ```
   local_update_cpu
   local_allreduce_cpu
   local_allreduce_device
   [04:20:59] src/kvstore/././comm.h:655: only 0 out of 12 GPU pairs are enabled direct access. It may affect the performance. You can set MXNET_ENABLE_GPU_P2P=0 to turn it off
   [04:20:59] src/kvstore/././comm.h:664: ....
   [04:20:59] src/kvstore/././comm.h:664: ....
   [04:20:59] src/kvstore/././comm.h:664: ....
   [04:20:59] src/kvstore/././comm.h:664: ....
   local_allreduce_device with 2bit compression
   [04:21:03] src/kvstore/././comm.h:655: only 0 out of 12 GPU pairs are enabled direct access. It may affect the performance. You can set MXNET_ENABLE_GPU_P2P=0 to turn it off
   [04:21:03] src/kvstore/././comm.h:664: ....
   [04:21:03] src/kvstore/././comm.h:664: ....
   [04:21:03] src/kvstore/././comm.h:664: ....
   [04:21:03] src/kvstore/././comm.h:664: ....
   terminate called after throwing an instance of 'dmlc::Error'
     what():  [04:21:06] src/engine/./threaded_engine.h:359: [04:21:06] /home/ec2-user/workspace/KVStore_SingleNode_Tests/mshadow/mshadow/./stream_gpu-inl.h:62: Check failed: e == cudaSuccess CUDA: an illegal memory access was encountered
   
   Stack trace returned 10 entries:
   [bt] (0) /home/ec2-user/workspace/KVStore_SingleNode_Tests/python/mxnet/../../lib/libmxnet.so(_ZN4dmlc10StackTraceEv+0x42) [0x7f241ee0d792]
   [bt] (1) /home/ec2-user/workspace/KVStore_SingleNode_Tests/python/mxnet/../../lib/libmxnet.so(_ZN4dmlc15LogMessageFatalD1Ev+0x18) [0x7f241ee0dd88]
   [bt] (2) /home/ec2-user/workspace/KVStore_SingleNode_Tests/python/mxnet/../../lib/libmxnet.so(_ZN7mshadow6StreamINS_3gpuEE4WaitEv+0xd8) [0x7f2420feb138]
   [bt] (3) /home/ec2-user/workspace/KVStore_SingleNode_Tests/python/mxnet/../../lib/libmxnet.so(_ZZN5mxnet10imperative12PushFComputeERKSt8functionIFvRKN4nnvm9NodeAttrsERKNS_9OpContextERKSt6vectorINS_5TBlobESaISA_EERKS9_INS_9OpReqTypeESaISF_EESE_EEPKNS2_2OpES5_RKNS_7ContextERKS9_IPNS_6engine3VarESaISW_EES10_RKS9_INS_8ResourceESaIS11_EERKS9_IPNS_7NDArrayESaIS17_EES1B_RKS9_IjSaIjEESJ_ENKUlNS_10RunContextEE_clES1G_+0x78a) [0x7f242103caba]
   [bt] (4) /home/ec2-user/workspace/KVStore_SingleNode_Tests/python/mxnet/../../lib/libmxnet.so(+0x2bb9ca3) [0x7f2420faeca3]
   [bt] (5) /home/ec2-user/workspace/KVStore_SingleNode_Tests/python/mxnet/../../lib/libmxnet.so(_ZN5mxnet6engine14ThreadedEngine15ExecuteOprBlockENS_10RunContextEPNS0_8OprBlockE+0x9d) [0x7f2420fb71fd]
   [bt] (6) /home/ec2-user/workspace/KVStore_SingleNode_Tests/python/mxnet/../../lib/libmxnet.so(_ZN5mxnet6engine23ThreadedEnginePerDevice9GPUWorkerILN4dmlc19ConcurrentQueueTypeE0EEEvNS_7ContextEbPNS1_17ThreadWorkerBlockIXT_EEESt10shared_ptrINS0_10ThreadPool11SimpleEventEE+0x10b) [0x7f2420fbbdab]
   [bt] (7) /home/ec2-user/workspace/KVStore_SingleNode_Tests/python/mxnet/../../lib/libmxnet.so(_ZNSt17_Function_handlerIFvSt10shared_ptrIN5mxnet6engine10ThreadPool11SimpleEventEEEZZNS2_23ThreadedEnginePerDevice13PushToExecuteEPNS2_8OprBlockEbENKUlvE1_clEvEUlS5_E_E9_M_invokeERKSt9_Any_dataS5_+0x56) [0x7f2420fbbf86]
   [bt] (8) /home/ec2-user/workspace/KVStore_SingleNode_Tests/python/mxnet/../../lib/libmxnet.so(_ZNSt6thread5_ImplISt12_Bind_simpleIFSt8functionIFvSt10shared_ptrIN5mxnet6engine10ThreadPool11SimpleEventEEEES8_EEE6_M_runEv+0x3b) [0x7f2420fb8acb]
   [bt] (9) /usr/lib/x86_64-linux-gnu/libstdc++.so.6(+0xb1a60) [0x7f240a047a60]
   
   
   A 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 9 entries:
   [bt] (0) /home/ec2-user/workspace/KVStore_SingleNode_Tests/python/mxnet/../../lib/libmxnet.so(_ZN4dmlc10StackTraceEv+0x42) [0x7f241ee0d792]
   [bt] (1) /home/ec2-user/workspace/KVStore_SingleNode_Tests/python/mxnet/../../lib/libmxnet.so(_ZN4dmlc15LogMessageFatalD1Ev+0x18) [0x7f241ee0dd88]
   [bt] (2) /home/ec2-user/workspace/KVStore_SingleNode_Tests/python/mxnet/../../lib/libmxnet.so(_ZN5mxnet6engine14ThreadedEngine15ExecuteOprBlockENS_10RunContextEPNS0_8OprBlockE+0x3a0) [0x7f2420fb7500]
   [bt] (3) /home/ec2-user/workspace/KVStore_SingleNode_Tests/python/mxnet/../../lib/libmxnet.so(_ZN5mxnet6engine23ThreadedEnginePerDevice9GPUWorkerILN4dmlc19ConcurrentQueueTypeE0EEEvNS_7ContextEbPNS1_17ThreadWorkerBlockIXT_EEESt10shared_ptrINS0_10ThreadPool11SimpleEventEE+0x10b) [0x7f2420fbbdab]
   [bt] (4) /home/ec2-user/workspace/KVStore_SingleNode_Tests/python/mxnet/../../lib/libmxnet.so(_ZNSt17_Function_handlerIFvSt10shared_ptrIN5mxnet6engine10ThreadPool11SimpleEventEEEZZNS2_23ThreadedEnginePerDevice13PushToExecuteEPNS2_8OprBlockEbENKUlvE1_clEvEUlS5_E_E9_M_invokeERKSt9_Any_dataS5_+0x56) [0x7f2420fbbf86]
   [bt] (5) /home/ec2-user/workspace/KVStore_SingleNode_Tests/python/mxnet/../../lib/libmxnet.so(_ZNSt6thread5_ImplISt12_Bind_simpleIFSt8functionIFvSt10shared_ptrIN5mxnet6engine10ThreadPool11SimpleEventEEEES8_EEE6_M_runEv+0x3b) [0x7f2420fb8acb]
   [bt] (6) /usr/lib/x86_64-linux-gnu/libstdc++.so.6(+0xb1a60) [0x7f240a047a60]
   [bt] (7) /lib/x86_64-linux-gnu/libpthread.so.0(+0x8184) [0x7f242d061184]
   [bt] (8) /lib/x86_64-linux-gnu/libc.so.6(clone+0x6d) [0x7f242cd8e37d]
   
   
   bash: line 1: 11585 Aborted                 python test_kvstore.py
   Build step 'Execute shell' marked build as failure
   [WS-CLEANUP] Deleting project workspace...[WS-CLEANUP] done
   Finished: FAILURE
   
   ```
   

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