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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/06/14 06:52:22 UTC
[GitHub] ThomasDelteil opened a new issue #11275: Crash when trying to add
two ndarrays on different GPUs
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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