Hi Ismael,
Thanks for your interest in PyFR. If you run pyfr-sim -h you will get:
usage: pyfr-sim [-h] [--verbose] [--backend BACKEND] [--progress]
[--nansweep N]
{run,restart} ...
Runs a PyFR simulation
positional arguments:
{run,restart} sub-command help
run run --help
restart restart --help
optional arguments:
-h, --help show this help message and exit
--verbose, -v
--backend BACKEND, -b BACKEND
Backend to use
--progress, -p show a progress bar
--nansweep N, -n N check for NaNs every N steps
Note the -b option to choose the backend you want to run with.
The default is -b cuda which will run the CUDA backend and look for an Nvidia
GPU. If you want to use your CPU you can use the -b openmp backend, and if you
want to use your AMD GPU you will need to use the -b opencl backend. However
note the dependencies listed here http://www.pyfr.org/user_guide.php for each
backend.
Backend selection should be better documented and more flexible in the next
release (0.2.2) coming very soon.
Cheers
Peter
On 2 Aug 2014, at 19:25, Ismael DJIBRIL
<[email protected]<mailto:[email protected]>> wrote:
Hello everyone,
I am having the following error message:
pyfr-sim -p run couette_flow_2d.pyfrm couette_flow_2d.ini
Traceback (most recent call last):
File "/home/imperator/Apps/anaconda/bin/pyfr-sim", line 9, in <module>
load_entry_point('pyfr==0.2.1', 'console_scripts', 'pyfr-sim')()
File
"/home/imperator/Apps/anaconda/lib/python2.7/site-packages/mpmath/ctx_mp.py",
line 1301, in g
return f(*args, **kwargs)
File "build/bdist.linux-x86_64/egg/pyfr/scripts/sim.py", line 77, in main
File "build/bdist.linux-x86_64/egg/pyfr/backends/__init__.py", line 11, in
get_backend
File "build/bdist.linux-x86_64/egg/pyfr/backends/cuda/base.py", line 14, in
__init__
File
"/home/imperator/Apps/anaconda/lib/python2.7/site-packages/pycuda/autoinit.py",
line 4, in <module>
cuda.init()
pycuda._driver.RuntimeError: cuInit failed: no device
It looks like the cuda drivers are misleading the code. I used to have a nvidia
gpu, but I replaced it with an ati amd gpu. My understanding is that the code
runs with both gpus, so I'm a little confused here.
Please let me know what you think of all this.
Best,
Ismael
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