PyOpenCL July 2019

pyopencl@tiker.net

3 participants
3 discussions

by Andreas Kloeckner

Shivangi Agarwal <shivangiagarwal53(a)gmail.com> writes: > No. It is the same error as before. I think I didn't look deep enough the > first time. kernel_old_init is taking a name as an arg: > > -> kernel_old_init(self, prg, name) > (Pdb) a > self = <pyopencl._cl.Kernel object at 0x7f4632c17b30> > prg = <pyopencl._cl._Program object at 0x7f463f737470> > name = _source > > I tried running the program in gdb and it gave me "No stack". Is there any > other way I can provide the bt? I meant the Python backtrace, i.e. what Python prints if a program ends with an error. Andreas

1 year, 12 months

Looking for '_source' kernel

by Shivangi Agarwal

Hi, I wrote a simple hello world pyocl testcase for a Xilinx accelerator card, but I am getting kernel '_source' not found error. I stepped through the code and it seems like the pyopencl code is trying to create a '_source' kernel. Any ideas on how I can work around this? “”” *-> prg.hello(commands, (1, ), (1, ), d_buf)* *(Pdb) s* *--Call--* *> /usr/local/lib/python2.7/dist-packages/pyopencl/__init__.py(434)__getattr__()* *-> def __getattr__(self, attr):* *(Pdb) n* *> /usr/local/lib/python2.7/dist-packages/pyopencl/__init__.py(435)__getattr__()* *-> try:* *(Pdb)* *> /usr/local/lib/python2.7/dist-packages/pyopencl/__init__.py(436)__getattr__()* *-> knl = Kernel(self, attr)* *(Pdb)* *> /usr/local/lib/python2.7/dist-packages/pyopencl/__init__.py(439)__getattr__()* *-> knl.num_args* *(Pdb)* *> /usr/local/lib/python2.7/dist-packages/pyopencl/__init__.py(440)__getattr__()* *-> knl._source = getattr(self, "_source", None)* *(Pdb) a* *self = <pyopencl.Program object at 0x7f5c52c66e90>* *attr = hello* *(Pdb) s* *--Call--* *> /usr/local/lib/python2.7/dist-packages/pyopencl/__init__.py(434)__getattr__()* *-> def __getattr__(self, attr):* *(Pdb) n* *> /usr/local/lib/python2.7/dist-packages/pyopencl/__init__.py(435)__getattr__()* *-> try:* *(Pdb)* *> /usr/local/lib/python2.7/dist-packages/pyopencl/__init__.py(436)__getattr__()* *-> knl = Kernel(self, attr)* *(Pdb) a* *self = <pyopencl.Program object at 0x7f5c52c66e90>* *attr = _source* *(Pdb) n* *[XRT] ERROR: kernel '_source' not found* *LogicError: <pyopenc...5280b110>* *> /usr/local/lib/python2.7/dist-packages/pyopencl/__init__.py(436)__getattr__()* *-> knl = Kernel(self, attr)* *(Pdb) n* *> /usr/local/lib/python2.7/dist-packages/pyopencl/__init__.py(449)__getattr__()* *-> except LogicError:* *(Pdb)* *> /usr/local/lib/python2.7/dist-packages/pyopencl/__init__.py(450)__getattr__()* *-> raise AttributeError("'%s' was not found as a program "* *(Pdb)* *> /usr/local/lib/python2.7/dist-packages/pyopencl/__init__.py(451)__getattr__()* *-> "info attribute or as a kernel name" % attr)* *(Pdb)* *AttributeError: Attribut...l name",)* *> /usr/local/lib/python2.7/dist-packages/pyopencl/__init__.py(451)__getattr__()* *-> "info attribute or as a kernel name" % attr)* *(Pdb)* *--Return--* *> /usr/local/lib/python2.7/dist-packages/pyopencl/__init__.py(451)__getattr__()->None* *-> "info attribute or as a kernel name" % attr)* *(Pdb)* *> /usr/local/lib/python2.7/dist-packages/pyopencl/__init__.py(442)__getattr__()* *-> if self._build_duration_info is not None:* *(Pdb)* *> /usr/local/lib/python2.7/dist-packages/pyopencl/__init__.py(443)__getattr__()* *-> build_descr, was_cached, duration = self._build_duration_info* *(Pdb)* *> /usr/local/lib/python2.7/dist-packages/pyopencl/__init__.py(444)__getattr__()* *-> if duration > 0.2:* *(Pdb)* *> /usr/local/lib/python2.7/dist-packages/pyopencl/__init__.py(448)__getattr__()* *-> return knl* *(Pdb)* *--Return--* *> /usr/local/lib/python2.7/dist-packages/pyopencl/__init__.py(448)__getattr__()-><pyopenc...52c90b90>* *-> return knl* *(Pdb)* *--Call--* *> /usr/local/lib/python2.7/dist-packages/pyopencl/__init__.py(837)kernel_call()* *-> def kernel_call(self, queue, global_size, local_size, *args, **kwargs):* *(Pdb) c* *Result: Hello World* *“””* Thanks, Shivangi

2 years

Memory Profiling for PyOpenCl based program

by MANISH AGRAWAL

Hello, I am trying to implement electromagnetic simulations using PyOpenCl. The memory that is used by the program varies and depends on user inputs. I was looking for a way of profiling memory usage using PyOpenCl. There are tools for querying the memory status for CUDA enabled devices but I am looking for something which can be opted in general (AMD gpus or CPUs too). Thanks & Regards *Manish Agrawal* Final Year Undergraduate IIT Kharagpur, India Contact : +91-8232993930 | LinkedIn <http://linkedin.com/manishhag>

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PyOpenCL July 2019