ThomasDelteil opened a new issue #11275: Crash when trying to add two ndarrays on different GPUs URL: https://github.com/apache/incubator-mxnet/issues/11275 ## Description When adding NDArray on different contexts, I get either: - silent copy to lhs context: GPU 0 -> GPU 1 - warning of different context: GPU 0 -> CPU - error: GPU 0 -> GPU 2 - error + crash: GPU 0 -> GPU 3 ## Environment info (Required) ``` ----------Python Info---------- Version : 3.6.3 Compiler : GCC 7.2.0 Build : ('default', 'Oct 13 2017 12:02:49') Arch : ('64bit', '') ------------Pip Info----------- Version : 9.0.3 Directory : /home/ubuntu/anaconda3/lib/python3.6/site-packages/pip ----------MXNet Info----------- Version : 1.3.0 Directory : /home/ubuntu/anaconda3/lib/python3.6/site-packages/mxnet Commit Hash : 74479b89eaba8241573079aa5e32f0ba0f8dd00e ----------System Info---------- Platform : Linux-4.4.0-1052-aws-x86_64-with-debian-stretch-sid system : Linux node : ip-172-31-23-125 release : 4.4.0-1052-aws version : #61-Ubuntu SMP Mon Feb 12 23:05:58 UTC 2018 ----------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): 32 On-line CPU(s) list: 0-31 Thread(s) per core: 2 Core(s) per socket: 16 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: 4600.10 Hypervisor vendor: Xen Virtualization type: full L1d cache: 32K L1i cache: 32K L2 cache: 256K L3 cache: 46080K NUMA node0 CPU(s): 0-31 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 invpcid_single retpoline kaiser 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: 0.0020 sec, LOAD: 0.4260 sec. Timing for Gluon Tutorial(en): http://gluon.mxnet.io, DNS: 0.1239 sec, LOAD: 0.6256 sec. Timing for Gluon Tutorial(cn): https://zh.gluon.ai, DNS: 0.1370 sec, LOAD: 0.5648 sec. Timing for FashionMNIST: https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.0414 sec, LOAD: 0.5376 sec. Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0035 sec, LOAD: 0.2710 sec. Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 0.0190 sec, LOAD: 0.1067 sec. +-----------------------------------------------------------------------------+ | NVIDIA-SMI 390.30 Driver Version: 390.30 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | |===============================+======================+======================| | 0 Tesla V100-SXM2... Off | 00000000:00:1B.0 Off | 0 | | N/A 43C P0 51W / 300W | 0MiB / 16160MiB | 0% Default | +-------------------------------+----------------------+----------------------+ | 1 Tesla V100-SXM2... Off | 00000000:00:1C.0 Off | 0 | | N/A 42C P0 48W / 300W | 0MiB / 16160MiB | 0% Default | +-------------------------------+----------------------+----------------------+ | 2 Tesla V100-SXM2... Off | 00000000:00:1D.0 Off | 0 | | N/A 41C P0 52W / 300W | 0MiB / 16160MiB | 0% Default | +-------------------------------+----------------------+----------------------+ | 3 Tesla V100-SXM2... Off | 00000000:00:1E.0 Off | 0 | | N/A 43C P0 53W / 300W | 0MiB / 16160MiB | 0% Default | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | No running processes found | +-----------------------------------------------------------------------------+ ``` ## Build info (Required if built from source) `pip install mxnet-cu91mkl --pre` ## Error Message: ``` terminate called after throwing an instance of 'dmlc::Error' what(): [06:45:53] /home/travis/build/dmlc/mxnet-distro/mxnet-build/3rdparty/mshadow/mshadow/./stream_gpu-inl.h:182: Check failed: e == cudaSuccess CUDA: invalid resource handle Stack trace returned 10 entries: [bt] (0) /home/ubuntu/anaconda3/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x31d18a) [0x7eff1015e18a] [bt] (1) /home/ubuntu/anaconda3/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x31d7a1) [0x7eff1015e7a1] [bt] (2) /home/ubuntu/anaconda3/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x2769244) [0x7eff125aa244] [bt] (3) /home/ubuntu/anaconda3/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x2769b55) [0x7eff125aab55] [bt] (4) /home/ubuntu/anaconda3/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x2780367) [0x7eff125c1367] [bt] (5) /home/ubuntu/anaconda3/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x2780606) [0x7eff125c1606] [bt] (6) /home/ubuntu/anaconda3/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x277a5f4) [0x7eff125bb5f4] [bt] (7) /home/ubuntu/anaconda3/bin/../lib/libstdc++.so.6(+0xafc5c) [0x7eff8d332c5c] [bt] (8) /lib/x86_64-linux-gnu/libpthread.so.0(+0x76ba) [0x7eff8e57c6ba] [bt] (9) /lib/x86_64-linux-gnu/libc.so.6(clone+0x6d) [0x7eff8e2b241d] ``` ## Steps to reproduce (Paste the commands you ran that produced the error.) ```python from mxnet import nd import mxnet as mx nd.add(nd.ones(1, ctx=mx.gpu(0)), nd.ones(1, ctx=mx.gpu(3))) ```
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