sxjscience opened a new issue #9364: CUDNN_STATUS_INTERNAL_ERROR in V100 URL: https://github.com/apache/incubator-mxnet/issues/9364 ## Description Cannot run gpu operator test on V100. I'm using the P3.2x machine + the latest master + cuda 9.0 + cudnn v7.0.3 ## Environment info (Required) ``` ----------Python Info---------- Version : 3.5.2 Compiler : GCC 5.4.0 20160609 Build : ('default', 'Nov 23 2017 16:37:01') Arch : ('64bit', 'ELF') ------------Pip Info----------- Version : 9.0.1 Directory : /usr/local/lib/python3.5/dist-packages/pip ----------MXNet Info----------- Version : 1.0.1 Directory : /home/ubuntu/mxnet/python/mxnet Hashtag not found. Not installed from pre-built package. ----------System Info---------- Platform : Linux-4.4.0-1044-aws-x86_64-with-Ubuntu-16.04-xenial system : Linux node : ip-172-31-16-38 release : 4.4.0-1044-aws version : #53-Ubuntu SMP Mon Dec 11 13:49:57 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): 8 On-line CPU(s) list: 0-7 Thread(s) per core: 2 Core(s) per socket: 4 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: 2700.164 CPU max MHz: 3000.0000 CPU min MHz: 1200.0000 BogoMIPS: 4600.14 Hypervisor vendor: Xen Virtualization type: full L1d cache: 32K L1i cache: 32K L2 cache: 256K L3 cache: 46080K NUMA node0 CPU(s): 0-7 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 MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0094 sec, LOAD: 0.5335 sec. Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 0.0096 sec, LOAD: 0.1069 sec. Timing for FashionMNIST: https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.0218 sec, LOAD: 0.1470 sec. Timing for Gluon Tutorial(cn): https://zh.gluon.ai, DNS: 0.3725 sec, LOAD: 0.1744 sec. Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0016 sec, LOAD: 0.4012 sec. Timing for Gluon Tutorial(en): http://gluon.mxnet.io, DNS: 0.1522 sec, LOAD: 0.0610 sec. ``` Package used (Python/R/Scala/Julia): Python ## Build info (Required if built from source) Compiler (gcc/clang/mingw/visual studio): gcc MXNet commit hash: 492a5fde03418ae31b64d9866ca6a7a5c72388d3 Build config: (Paste the content of config.mk, or the build command.) ## Error Message: (Paste the complete error message, including stack trace.) ## Minimum reproducible example ```python import mxnet as mx import mxnet.ndarray as nd from mxnet.gluon.nn import Dense f = Dense(10) f.hybridize() print(f(nd.ones((100,10), ctx=mx.gpu()))) ``` ``` terminate called after throwing an instance of 'dmlc::Error' what(): [23:24:07] /home/ubuntu/mxnet/mshadow/mshadow/./stream_gpu-inl.h:171: Check failed: err == CUDNN_STATUS_SUCCESS (4 vs. 0) CUDNN_STATUS_INTERNAL_ERROR Stack trace returned 8 entries: [bt] (0) /home/ubuntu/mxnet/python/mxnet/../../lib/libmxnet.so(_ZN4dmlc10StackTraceB5cxx11Ev+0x5b) [0x7fda0601c4db] [bt] (1) /home/ubuntu/mxnet/python/mxnet/../../lib/libmxnet.so(_ZN7mshadow9NewStreamINS_3gpuEEEPNS_6StreamIT_EEbbi+0x171e) [0x7fda088d4f4e] [bt] (2) /home/ubuntu/mxnet/python/mxnet/../../lib/libmxnet.so(_ZN5mxnet6engine23ThreadedEnginePerDevice9GPUWorkerILN4dmlc19ConcurrentQueueTypeE0EEEvNS_7ContextEbPNS1_17ThreadWorkerBlockIXT_EEESt10shared_ptrINS0_10ThreadPool11SimpleEventEE+0x117) [0x7fda088fa737] [bt] (3) /home/ubuntu/mxnet/python/mxnet/../../lib/libmxnet.so(_ZNSt17_Function_handlerIFvSt10shared_ptrIN5mxnet6engine10ThreadPool11SimpleEventEEEZZNS2_23ThreadedEnginePerDevice13PushToExecuteEPNS2_8OprBlockEbENKUlvE1_clEvEUlS5_E_E9_M_invokeERKSt9_Any_dataOS5_+0x63) [0x7fda088fa8e3] [bt] (4) /home/ubuntu/mxnet/python/mxnet/../../lib/libmxnet.so(_ZNSt6thread5_ImplISt12_Bind_simpleIFSt8functionIFvSt10shared_ptrIN5mxnet6engine10ThreadPool11SimpleEventEEEES8_EEE6_M_runEv+0x4a) [0x7fda088f4aba] [bt] (5) /usr/lib/x86_64-linux-gnu/libstdc++.so.6(+0xb8c80) [0x7fd9d73a4c80] [bt] (6) /lib/x86_64-linux-gnu/libpthread.so.0(+0x76ba) [0x7fda348966ba] [bt] (7) /lib/x86_64-linux-gnu/libc.so.6(clone+0x6d) [0x7fda345cc3dd] ``` ## What have you tried to solve it? 1. I've also tried to use cudnn v7.0.4 and cudnn v7.0.5 and cannot fix the problem.
---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] With regards, Apache Git Services
