arrayfire / arrayfire/arrayfire-python

Better error checking during initialization

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Langage dominant
Python
Étoiles
422
Forks
63
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Description

Today I came across the following cryptic error message when trying to use arrayfire-python:

``` python

In [1]: import arrayfire
In [2]: arrayfire.backend.name()
Out[2]: 'cuda'
In [5]: arrayfire.Array()
---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
in ()
----> 1 arrayfire.Array()

/home/filipe/.local/lib/python2.7/site-packages/arrayfire-3.2.20151211-py2.7.egg/arrayfire/array.pyc in __init__(self, src, dims, dtype, is_device)
422 for n in range(numdims):
423 idims[n] = dims[n]
--> 424 self.arr = _create_empty_array(numdims, idims, to_dtype[type_char])
425
426 def as_type(self, ty):

/home/filipe/.local/lib/python2.7/site-packages/arrayfire-3.2.20151211-py2.7.egg/arrayfire/array.pyc in _create_empty_array(numdims, idims, dtype)
36 c_dims = dim4(idims[0], idims[1], idims[2], idims[3])
37 safe_call(backend.get().af_create_handle(ct.pointer(out_arr),
---> 38 numdims, ct.pointer(c_dims), dtype.value))
39 return out_arr
40

/home/filipe/.local/lib/python2.7/site-packages/arrayfire-3.2.20151211-py2.7.egg/arrayfire/util.pyc in safe_call(af_error)
73 err_len = ct.c_longlong(0)
74 backend.get().af_get_last_error(ct.pointer(err_str), ct.pointer(err_len))
---> 75 raise RuntimeError(to_str(err_str), af_error)
76
77 def get_version():

RuntimeError: ('Error in /var/lib/jenkins-slave/workspace/arrayfire-linux-mkl-graphics-installer/src/api/c/data.cpp(197):\n\n\n', 998)
```

The error was caused by a bad driver version:

``` shell
$ nvidia-smi
Failed to initialize NVML: GPU access blocked by the operating system
```

I think it could be useful if arrayfire would test if a device is really available, instead of just checking if it can dlopen the relevant library. For example by calling `arrayfire.Array()`. If that would fail a more useful error could be returned to the user.

Guide de contribution

Aucun guide de contribution indexé pour ce dépôt

Piste de recherche

Start by tracing backend initialization from arrayfire.backend.name() through arrayfire.Array() and the safe_call path shown in the traceback. Confirm how device availability is currently checked and make the failure report a useful driver or device error; verify the behavior with the initialization scenario described in the issue.

Rédigé par le modèle d'indexation à partir du texte de l'issue.

Évaluation

Stack technique
python
Domaine
backend-api-design, hpc
Type d'issue
Bug
Difficulté
4/5
Temps estimé
3-5 jours
Activité
À l'abandon
Clarté
Plutôt claire
Accessibilité débutants
38/100

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