Hello everyone,

MxNet crashes when I run  a toy example with GPU. I tried with Cuda 9.1 and 
Cuda 9.2, and with mxnet 1.3.0 and 1.2.1 installed via pip. It might have to do 
something with the driver version 396.54, because i am sure it worked at some 
point before.

## Error Message:
```
range(0, 1)
Traceback (most recent call last):
  File "test.py", line 6, in <module>
    a = mx.nd.ones((2,3), mx.gpu())
  File "/usr/local/lib/python3.5/dist-packages/mxnet/ndarray/ndarray.py", line 
2367, in ones
    return _internal._ones(shape=shape, ctx=ctx, dtype=dtype, **kwargs)
  File "<string>", line 34, in _ones
  File "/usr/local/lib/python3.5/dist-packages/mxnet/_ctypes/ndarray.py", line 
92, in _imperative_invoke
    ctypes.byref(out_stypes)))
  File "/usr/local/lib/python3.5/dist-packages/mxnet/base.py", line 252, in 
check_call
    raise MXNetError(py_str(_LIB.MXGetLastError()))
mxnet.base.MXNetError: [14:02:47] src/engine/threaded_engine.cc:320: Check 
failed: device_count_ > 0 (-1 vs. 0) GPU usage requires at least 1 GPU

Stack trace returned 10 entries:
[bt] (0) /usr/local/lib/python3.5/dist-packages/mxnet/libmxnet.so(+0x382eea) 
[0x7f0108adbeea]
[bt] (1) /usr/local/lib/python3.5/dist-packages/mxnet/libmxnet.so(+0x383521) 
[0x7f0108adc521]
[bt] (2) /usr/local/lib/python3.5/dist-packages/mxnet/libmxnet.so(+0x2ae9cbe) 
[0x7f010b242cbe]
[bt] (3) /usr/local/lib/python3.5/dist-packages/mxnet/libmxnet.so(+0x2af07c8) 
[0x7f010b2497c8]
[bt] (4) /usr/local/lib/python3.5/dist-packages/mxnet/libmxnet.so(+0x2b87a94) 
[0x7f010b2e0a94]
[bt] (5) /usr/local/lib/python3.5/dist-packages/mxnet/libmxnet.so(+0x2b8c51c) 
[0x7f010b2e551c]
[bt] (6) /usr/local/lib/python3.5/dist-packages/mxnet/libmxnet.so(+0x2b8d4d4) 
[0x7f010b2e64d4]
[bt] (7) /usr/local/lib/python3.5/dist-packages/mxnet/libmxnet.so(+0x2aa4be9) 
[0x7f010b1fdbe9]
[bt] (8) 
/usr/local/lib/python3.5/dist-packages/mxnet/libmxnet.so(MXImperativeInvokeEx+0x6f)
 [0x7f010b1fe1df]
[bt] (9) 
/usr/lib/python3.5/lib-dynload/_ctypes.cpython-35m-x86_64-linux-gnu.so(ffi_call_unix64+0x4c)
 [0x7f013be2ce20]
```

## Minimum reproducible example
```
import mxnet as mx
from mxnet import nd, autograd, gluon
import numpy as np

print(mx.test_utils.list_gpus())
a = mx.nd.ones((2,3), mx.gpu())
print((a*2).asnumpy())
```

I have no idea what else to try.

Best,
Jack

`nvcc --version`
```
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2018 NVIDIA Corporation
Built on Tue_Jun_12_23:07:04_CDT_2018
Cuda compilation tools, release 9.2, V9.2.148
```

`nvidia-smi`
```
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 396.54                 Driver Version: 396.54                    |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  GeForce GTX 106...  Off  | 00000000:01:00.0  On |                  N/A |
| 28%   38C    P8    11W / 120W |    393MiB /  6075MiB |      1%      Default |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
|    0      1110      G   /usr/lib/xorg/Xorg                           234MiB |
|    0      1708      G   cinnamon                                     103MiB |
|    0      1924      G   ...passed-by-fd --v8-snapshot-passed-by-fd    54MiB |
+-----------------------------------------------------------------------------+
```

```
----------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      : 18.1
Directory    : /usr/local/lib/python3.5/dist-packages/pip
----------MXNet Info-----------
Version      : 1.3.0
Directory    : /usr/local/lib/python3.5/dist-packages/mxnet
Commit Hash   : b3be92f4a48bce62a5a8424271871c2f81c8f7f1
----------System Info----------
Platform     : Linux-4.4.0-137-generic-x86_64-with-Ubuntu-16.04-xenial
system       : Linux
node         : R2D17
release      : 4.4.0-137-generic
version      : #163-Ubuntu SMP Mon Sep 24 13:14:43 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):                4
On-line CPU(s) list:   0-3
Thread(s) per core:    1
Core(s) per socket:    4
Socket(s):             1
NUMA node(s):          1
Vendor ID:             GenuineIntel
CPU family:            6
Model:                 94
Model name:            Intel(R) Core(TM) i5-6600K CPU @ 3.50GHz
Stepping:              3
CPU MHz:               3799.960
CPU max MHz:           3900,0000
CPU min MHz:           800,0000
BogoMIPS:              7007.87
Virtualization:        VT-x
L1d cache:             32K
L1i cache:             32K
L2 cache:              256K
L3 cache:              6144K
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 dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx 
pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl 
xtopology nonstop_tsc aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx est 
tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid sse4_1 sse4_2 x2apic movbe popcnt 
tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch 
invpcid_single intel_pt ssbd ibrs ibpb stibp kaiser tpr_shadow vnmi 
flexpriority ept vpid fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid 
rtm mpx rdseed adx smap clflushopt xsaveopt xsavec xgetbv1 dtherm ida arat pln 
pts hwp hwp_notify hwp_act_window hwp_epp flush_l1d
```

[ Full content available at: 
https://github.com/apache/incubator-mxnet/issues/12752 ]
This message was relayed via gitbox.apache.org for devnull@infra.apache.org

Reply via email to