And here are the CUDA tests that fail on the Tegra X2 with CUDA backend. FYI.
The following tests FAILED:
26 - kernel/test_shuffle_char (Failed)
27 - kernel/test_shuffle_short (Failed)
28 - kernel/test_shuffle_ushort (Failed)
30 - kernel/test_shuffle_int (Failed)
31 - kernel/test_shuffle_uint (Failed)
32 - kernel/test_shuffle_float (Failed)
33 - kernel/test_shuffle_long (Failed)
34 - kernel/test_shuffle_ulong (Failed)
37 - kernel/test_shuffle_double (Failed)
42 - regression/phi_nodes_not_replicated_REPL (Failed)
44 - regression/barrier_between_two_for_loops_REPL (Failed)
45 - regression/simple_for-loop_with_a_barrier_inside_REPL (Failed)
46 - regression/for-loop_with_computation_after_the_brexit_REPL
(Failed)
47 - regression/for-loop_with_a_variable_iteration_count_REPL (Failed)
48 - regression/early_return_before_a_barrier_region_REPL (Failed)
49 - regression/id-dependent_computation_before_kernel_exit_REPL
(Failed)
50 - regression/barrier_just_before_return_REPL (Failed)
52 -
regression/undominated_variable_from_conditional_barrier_handling_REPL (Failed)
56 - regression/phi_nodes_not_replicated_LOOPS (Failed)
58 - regression/barrier_between_two_for_loops_LOOPS (Failed)
59 - regression/simple_for-loop_with_a_barrier_inside_LOOPS (Failed)
60 - regression/for-loop_with_computation_after_the_brexit_LOOPS
(Failed)
61 - regression/for-loop_with_a_variable_iteration_count_LOOPS (Failed)
62 - regression/early_return_before_a_barrier_region_LOOPS (Failed)
63 - regression/id-dependent_computation_before_kernel_exit_LOOPS
(Failed)
64 - regression/barrier_just_before_return_LOOPS (Failed)
66 -
regression/undominated_variable_from_conditional_barrier_handling_LOOPS (Failed)
70 - regression/setting_a_buffer_argument_to_NULL_causes_a_segfault
(Failed)
71 - regression/clSetKernelArg_overwriting_the_previous_kernel's_args
(Failed)
73 -
regression/case_with_multiple_variable_length_loops_and_a_barrier_in_one
(Failed)
Errors while running CTest
> On Aug 21, 2018, at 11:44 AM, Michal Babej <[email protected]> wrote:
>
> Hi,
>
> > void cpu_setup_vector_widths(cl_device_id):
>
> This code sets up "preferred vector widths" OpenCL device information. It
> uses LLVM's sys::getHostCPUFeatures call which apparently fails for your CPU.
>
> You can either fill them manually, or just comment that code out, it's
> usually not that important.
>
> Cheers,
> -- mb
> From: Gaurav Khanna <[email protected]>
> Sent: Tuesday, August 21, 2018 3:11:27 PM
> To: Portable Computing Language development discussion
> Subject: Re: [pocl-devel] POCL on Power9, Tegra
>
>
> Hi Folks
>
> An update. I got POCL built and running on Tegra (ARM) perfectly with CUDA
> backend. Out of the box. OpenCL apps run fine too. Thats great.
>
> Now, I’m trying on Power9 with CUDA backend using LLVM 6.0.1. I got
> everything built last night. And I can certainly compile simple OpenCL apps.
> However, if I try to run any of them .. I get
>
> [root@centos7-ppc64le ~]# ./a.out
> a.out: /root/pocl/lib/CL/pocl_llvm_utils.cc:179: void
> cpu_setup_vector_widths(cl_device_id): Assertion `res' failed.
> Aborted (core dumped)
>
> Its not much info .. but maybe someone on this list can help me troubleshoot.
>
> Cheers
> Gaurav
>
>
>
> > On Aug 15, 2018, at 1:28 PM, Gaurav Khanna <[email protected]> wrote:
> >
> >>
> >> Are you interested in using Power8 with the Pocl's CPU backend (as a
> >> compute device), or just CPU as a host - used by the applications to
> >> handle the runtime part of OpenCL, with CUDA backend doing the computation
> >> ?
> >>
> >
> > Thanks for the response. Mostly interested in the Power CPU serving as host
> > and using the CUDA GPUs as the compute-device.
> >
> >
> >>
> >> IIRC i've seen some commits which dealt with ARM in the CUDA backend, so
> >> it's quite possible.
> >
> >
> > Thats great news. Who do I ask about this?
> >
> >
> >
> >
>
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