Kernel codes that produce the error:
__kernel void testDynamic(__global int *data)
{
int id=get_global_id(0);
atomic_add(&data[1],2);
}
__kernel void test(__global int * data)
{
int id=get_global_id(0);
atomic_add(&data[0],2);
if (id == 0) {
queue_t q = get_default_queue();
ndrange_t ndrange = ndrange_1D(1,1);
void (^my_block_A)(void) = ^{testDynamic(data);};
enqueue_kernel(q, CLK_ENQUEUE_FLAGS_WAIT_KERNEL,
ndrange,
my_block_A);
}
}
I tested below code to be sure OpenCL 2.0 compiler is working.
__kernel void test2(__global int *data)
{
int id=get_global_id(0);
data[id]=work_group_scan_inclusive_add(id);
}
scan function gives 0,1,3,6 as outputs so OpenCL 2.0 reduction functions are working.
Is dynamic parallelism an extension to OpenCL 2.0? If I remove enqueue_kernel
command, results are equal the the expected values(omitting child kernel).
Device: Amd RX550, driver: 17.6.2
Is there a special command that needs to be run on host side, to run child kernel on get_default_queue
queue? For now, command queue is created with an OpenCL 1.2 way as below:
commandQueue = cl::CommandQueue(context, device, CL_QUEUE_PROFILING_ENABLE, &err);
Does get_default_queue()
have to be the same command queue which calls the parent kernel? Asking this because I'm using same command queue to upload data to GPU and then download results, in a single synchronization.