Intermittent out of resources error clEnqueueReadBuffer failed #4
Description
I can run multiple times and sometimes get error:
pyopencl.RuntimeError: clEnqueueReadBuffer failed: out of resources
after one or more iterations using the bike_a.png and bike_b.png files and main in demo mode straight from github. Sometimes it runs to completion and sometimes it stops part way through with above error.
Output on fail case:
Please wait a few seconds...
('file 0 = ', 'bike_a.png', ' file 1 = ', 'bike_b.png')
('img shape = ', (175, 239, 3))
('iteration', 1)
('mean block difference:', 11.847692226259401)
('iteration', 2)
('mean block difference:', 1.4053478590557273)
('iteration', 3)
('mean block difference:', 1.0751794090974331)
('iteration', 4)
('mean block difference:', 0.92336860183560998)
('iteration', 5)
('mean block difference:', 0.84552383540750564)
Traceback (most recent call last):
File "main.py", line 195, in <module>
patchmatch.match(files,Demo=True)
File "main.py", line 186, in match
self.execute();
File "main.py", line 116, in execute
cl.enqueue_read_buffer(self.queue, self.outputBuf, c).wait()
File "/usr/lib/python2.7/dist-packages/pyopencl/__init__.py", line 860, in new_func
return func(*args, **kwargs)
pyopencl.RuntimeError: clEnqueueReadBuffer failed: out of resources
When it runs successfully I get the following output:
Please wait a few seconds...
('file 0 = ', 'bike_a.png', ' file 1 = ', 'bike_b.png')
('img shape = ', (175, 239, 3))
('iteration', 1)
('mean block difference:', 11.847692226259401)
('iteration', 2)
('mean block difference:', 1.4053478590557273)
('iteration', 3)
('mean block difference:', 1.0751713650301336)
('iteration', 4)
('mean block difference:', 0.92228370782616687)
('iteration', 5)
('mean block difference:', 0.84449662336199371)
('iteration', 6)
('mean block difference:', 0.78995643332834575)
('iteration', 7)
('mean block difference:', 0.75182238942455692)
('iteration', 8)
('mean block difference:', 0.72269540056274861)
('iteration', 9)
('mean block difference:', 0.70064447195375668)
('iteration', 10)
('mean block difference:', 0.68212381211217721)
('iteration', 11)
('mean block difference:', 0.6671923072248922)
('iteration', 12)
('mean block difference:', 0.65498817675593513)
('iteration', 13)
('mean block difference:', 0.64466970594863771)
('iteration', 14)
('mean block difference:', 0.63470502613937019)
('iteration', 15)
('mean block difference:', 0.62660883279387825)
('iteration', 16)
('mean block difference:', 0.61789773527170389)
('iteration', 17)
('mean block difference:', 0.61108444301768117)
('iteration', 18)
('mean block difference:', 0.60394420541486304)
('iteration', 19)
('mean block difference:', 0.59827319833725168)
('iteration', 20)
('mean block difference:', 0.59298303466078317)
('randomfill', ':', 0.003, 'seconds')
('execute', ':', 0.137, 'seconds')
('init', ':', 0.519, 'seconds')
Done.