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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2017/11/06 21:56:55 UTC
[GitHub] KellenSunderland opened a new issue #8564: Test Crash -test_operator_gpu.test_residual_fused
KellenSunderland opened a new issue #8564: Test Crash -test_operator_gpu.test_residual_fused
URL: https://github.com/apache/incubator-mxnet/issues/8564
## Description
The test test_operator_gpu.test_residual_fused is causing a Cuda 'too many resources' error during a tests with the latest build of MXNet.
## Environment info (Required)
p2 instance with DLAMI CUDA 9, latest MXNet built with cmake.
```
----------Python Info----------
Version : 3.5.2
Compiler : GCC 5.4.0 20160609
Build : ('default', 'Sep 14 2017 22:51:06')
Arch : ('64bit', 'ELF')
------------Pip Info-----------
Version : 9.0.1
Directory : /usr/local/lib/python3.5/dist-packages/pip
----------MXNet Info-----------
Version : 0.12.1
Directory : /home/ubuntu/incubator-mxnet/python/mxnet
Hashtag not found. Not installed from pre-built package.
----------System Info----------
Platform : Linux-4.4.0-1022-aws-x86_64-with-Ubuntu-16.04-xenial
system : Linux
node : ip-172-31-11-178
release : 4.4.0-1022-aws
version : #31-Ubuntu SMP Tue Jun 27 11:27:55 UTC 2017
----------Hardware Info----------
machine : x86_64
processor : x86_64
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Byte Order: Little Endian
CPU(s): 4
On-line CPU(s) list: 0-3
Thread(s) per core: 2
Core(s) per socket: 2
Socket(s): 1
NUMA node(s): 1
Vendor ID: GenuineIntel
CPU family: 6
Model: 79
Model name: Intel(R) Xeon(R) CPU E5-2686 v4 @ 2.30GHz
Stepping: 1
CPU MHz: 2699.984
CPU max MHz: 3000.0000
CPU min MHz: 1200.0000
BogoMIPS: 4600.05
Hypervisor vendor: Xen
Virtualization type: full
L1d cache: 32K
L1i cache: 32K
L2 cache: 256K
L3 cache: 46080K
NUMA node0 CPU(s): 0-3
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc aperfmperf eagerfpu pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch fsgsbase bmi1 hle avx2 smep bmi2 erms invpcid rtm rdseed adx xsaveopt
----------Network Test----------
Setting timeout: 10
Timing for Gluon Tutorial(cn): https://zh.gluon.ai, DNS: 0.3053 sec, LOAD: 0.6754 sec.
Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0809 sec, LOAD: 0.1547 sec.
Timing for Gluon Tutorial(en): http://gluon.mxnet.io, DNS: 0.0610 sec, LOAD: 0.3025 sec.
Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 0.0030 sec, LOAD: 0.3299 sec.
Timing for FashionMNIST: https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.0647 sec, LOAD: 0.6408 sec.
Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0014 sec, LOAD: 0.6714 sec.
```
Package used (Python/R/Scala/Julia):
Python
## Build info (Required if built from source)
Compiler gcc.
MXNet commit hash:
990bab865f5c8da168a2e68c4c6cc04fa3b117d7
Build config:
cmake -GNinja ..
## Error Message:
```
[21:37:20] /home/ubuntu/incubator-mxnet/dmlc-core/include/dmlc/logging.h:308: [21:37:20] /home/ubuntu/incubator-mxnet/mshadow/mshadow/././././cuda/tensor_gpu-inl.cuh:110: Check failed: err == cudaSuccess (7 vs. 0) Name: MapPlanKernel ErrStr:too many resources requested for launch
Stack trace returned 10 entries:
[bt] (0) /home/ubuntu/incubator-mxnet/python/mxnet/../../lib/libmxnet.so(_ZN4dmlc15LogMessageFatalD1Ev+0x3c) [0x7fe280fe89ac]
[bt] (1) /home/ubuntu/incubator-mxnet/python/mxnet/../../lib/libmxnet.so(_ZN7mshadow4cuda7MapPlanINS_2sv6savetoENS_6TensorINS_3gpuELi2EfEENS_4expr9ScalarExpIfEEfEEvNS7_4PlanIT0_T2_EERKNSA_IT1_SC_EENS_5ShapeILi2EEEP11CUstream_st+0x1d1) [0x7fe281014a81]
[bt] (2) /home/ubuntu/incubator-mxnet/python/mxnet/../../lib/libmxnet.so(_ZN5mxnet7ndarray4EvalIN7mshadow3gpuEEEvRKfPNS_5TBlobENS_10RunContextE+0x168) [0x7fe280fcfb08]
[bt] (3) /home/ubuntu/incubator-mxnet/python/mxnet/../../lib/libmxnet.so(+0x15602d7) [0x7fe281e232d7]
[bt] (4) /home/ubuntu/incubator-mxnet/python/mxnet/../../lib/libmxnet.so(_ZNSt17_Function_handlerIFvN5mxnet10RunContextENS0_6engine18CallbackOnCompleteEEZNS0_6Engine8PushSyncESt8functionIFvS1_EENS0_7ContextERKSt6vectorIPNS2_3VarESaISC_EESG_NS0_10FnPropertyEiPKcEUlS1_S3_E_E9_M_invokeERKSt9_Any_dataOS1_OS3_+0x4b) [0x7fe2811e0a7b]
[bt] (5) /home/ubuntu/incubator-mxnet/python/mxnet/../../lib/libmxnet.so(_ZN5mxnet6engine14ThreadedEngine15ExecuteOprBlockENS_10RunContextEPNS0_8OprBlockE+0x93) [0x7fe2832d40d3]
[bt] (6) /home/ubuntu/incubator-mxnet/python/mxnet/../../lib/libmxnet.so(_ZNSt17_Function_handlerIFvSt10shared_ptrIN5mxnet6engine10ThreadPool11SimpleEventEEEZZNS2_23ThreadedEnginePerDevice13PushToExecuteEPNS2_8OprBlockEbENKUlvE1_clEvEUlS5_E_E9_M_invokeERKSt9_Any_dataOS5_+0x123) [0x7fe2832d8393]
[bt] (7) /home/ubuntu/incubator-mxnet/python/mxnet/../../lib/libmxnet.so(_ZNSt6thread5_ImplISt12_Bind_simpleIFSt8functionIFvSt10shared_ptrIN5mxnet6engine10ThreadPool11SimpleEventEEEES8_EEE6_M_runEv+0x4a) [0x7fe2832d526a]
[bt] (8) /usr/lib/x86_64-linux-gnu/libstdc++.so.6(+0xb8c80) [0x7fe29a1d8c80]
[bt] (9) /lib/x86_64-linux-gnu/libpthread.so.0(+0x76ba) [0x7fe29b69c6ba]
```
## Minimum reproducible example
(If you are using your own code, please provide a short script that reproduces the error. Otherwise, please provide link to the existing example.)
## Steps to reproduce
(Paste the commands you ran that produced the error.)
1. Build using cmake
2. Install
3. Run gpu tests (python3 -m nose --verbose) in incubator-mxnet/tests/python/gpu.
Note: running the test individually works.
## What have you tried to solve it?
1. Mark test as crashing.
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