I used Numba to get some system info (see below). Looks like the cublas
library is working fine.
System info:
--------------------------------------------------------------------------------
__Time Stamp__
Report started (local time) : 2020-09-26 00:17:34.207700
UTC start time : 2020-09-26 04:17:34.207709
Running time (s) : 3.237414
__Hardware Information__
Machine : x86_64
CPU Name : haswell
CPU Count : 20
Number of accessible CPUs : 20
List of accessible CPUs cores : 0-19
CFS Restrictions (CPUs worth of runtime) : None
CPU Features : 64bit aes avx avx2 bmi bmi2
cmov
cx16 cx8 f16c fma fsgsbase
fxsr
invpcid lzcnt mmx movbe
pclmul
popcnt rdrnd sahf sse sse2
sse3
sse4.1 sse4.2 ssse3 xsave
xsaveopt
Memory Total (MB) : 58373
Memory Available (MB) : 57310
__OS Information__
Platform Name :
Linux-4.15.0-118-generic-x86_64-with-glibc2.10
Platform Release : 4.15.0-118-generic
OS Name : Linux
OS Version : #119-Ubuntu SMP Tue Sep 8
12:30:01 UTC 2020
OS Specific Version : ?
Libc Version : glibc 2.27
__Python Information__
Python Compiler : GCC 7.3.0
Python Implementation : CPython
Python Version : 3.8.5
Python Locale : en_US.UTF-8
__LLVM Information__
LLVM Version : 10.0.1
__CUDA Information__
CUDA Device Initialized : True
CUDA Driver Version : 9010
CUDA Detect Output:
Found 1 CUDA devices
id 0 b'Tesla K40m' [SUPPORTED]
compute capability: 3.5
pci device id: 5
pci bus id: 0
Summary:
1/1 devices are supported
CUDA Librairies Test Output:
Finding cublas from System
named libcublas.so.9.2.88
trying to open library... ok
Finding cusparse from System
named libcusparse.so.9.2.88
trying to open library... ok
Finding cufft from System
named libcufft.so.9.2.88
trying to open library... ok
Finding curand from System
named libcurand.so.9.2.88
trying to open library... ok
Finding nvvm from System
named libnvvm.so.3.2.0
trying to open library... ok
Finding cudart from System
named libcudart.so.9.2.88
trying to open library... ok
Finding libdevice from System
searching for compute_20... ok
searching for compute_30... ok
searching for compute_35... ok
searching for compute_50... ok
__ROC information__
ROC Available : False
ROC Toolchains : None
HSA Agents Count : 0
HSA Agents:
None
HSA Discrete GPUs Count : 0
HSA Discrete GPUs : None
__SVML Information__
SVML State, config.USING_SVML : False
SVML Library Loaded : False
llvmlite Using SVML Patched LLVM : True
SVML Operational : False
__Threading Layer Information__
TBB Threading Layer Available : True
+-->TBB imported successfully.
OpenMP Threading Layer Available : True
+-->Vendor: GNU
Workqueue Threading Layer Available : True
+-->Workqueue imported successfully.
__Numba Environment Variable Information__
None found.
On Friday, September 25, 2020 at 11:35:04 PM UTC-4 Gavin Wiggins wrote:
> I ran some of the PyCuda examples at
> https://github.com/inducer/pycuda/tree/master/examples without any
> problems.
>
>
>
>
> On Friday, September 25, 2020 at 9:58:31 PM UTC-4 [email protected]
> wrote:
>
>> Hi Gavin,
>>
>> On 25/09/2020 20:11, 'Gavin Wiggins' via PyFR Mailing List wrote:
>> > I'm trying to run the Couette flow example using the CUDA backend via
>> > the following command:
>> >
>> > $ pyfr run -b cuda -p couette_flow_2d.pyfrm couette_flow_2d.ini
>> >
>> > But I get the following error:
>> >
>> > File
>> >
>> "/home/cades/miniconda3/lib/python3.8/site-packages/pyfr/backends/cuda/cublas.py",
>>
>>
>> > line 78, in _errcheck
>> >
>> > raise self._statuses[status]
>> >
>> > pyfr.backends.cuda.cublas.CUBLASNotInitialized
>> >
>> > Any suggestions on how to fix this?
>>
>> This error appeared once before on the mailing list some years ago:
>>
>> https://groups.google.com/forum/#!topic/pyfrmailinglist/RWWXHC_ACHE
>>
>> although the issue appears to have been configuration related (perhaps a
>> 32-/64-bit problem?).
>>
>> Are you able to run any other CUBLAS applications on the system?
>>
>> Regards, Freddie.
>>
>>
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