[UR][HIP] Implement urKernelSuggestMaxCooperativeGroupCount#22667
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zjin-lcf wants to merge 1 commit into
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[UR][HIP] Implement urKernelSuggestMaxCooperativeGroupCount#22667zjin-lcf wants to merge 1 commit into
zjin-lcf wants to merge 1 commit into
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Implement the cooperative-group-count occupancy query for the HIP (AMD) adapter, which previously returned UR_RESULT_ERROR_UNSUPPORTED_FEATURE and forced the SYCL runtime onto a coarse 0/1 host-side fallback for kernel::ext_oneapi_get_info<max_num_work_groups>. As noted in intel#21803, a direct port of the CUDA implementation does not work: hipOccupancyMaxActiveBlocksPerMultiprocessor expects a host function pointer, whereas our kernel handle (hKernel->get()) is a module-loaded hipFunction_t. Use the module-occupancy entry point hipModuleOccupancyMaxActiveBlocksPerMultiprocessor instead, mirroring the existing hipModuleOccupancyMaxPotentialBlockSize usage in the adapter. The total suggested group count is the per-CU occupancy multiplied by the device multiprocessor (compute-unit) count. When the per-CU occupancy is 0, fall back to reporting 1 group if the requested work-group size, dynamic local memory, and per-block register usage all fit within device limits, matching the CUDA adapter's semantics. Closes: intel#21803 Co-authored-by: Cursor <cursoragent@cursor.com>
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Implement the cooperative-group-count occupancy query for the HIP (AMD) adapter, which previously returned UR_RESULT_ERROR_UNSUPPORTED_FEATURE and forced the SYCL runtime onto a coarse 0/1 host-side fallback for kernel::ext_oneapi_get_info<max_num_work_groups>.
As noted in #21803, a direct port of the CUDA implementation does not work: hipOccupancyMaxActiveBlocksPerMultiprocessor expects a host function pointer, whereas our kernel handle (hKernel->get()) is a module-loaded hipFunction_t. Use the module-occupancy entry point hipModuleOccupancyMaxActiveBlocksPerMultiprocessor instead, mirroring the existing hipModuleOccupancyMaxPotentialBlockSize usage in the adapter.
The total suggested group count is the per-CU occupancy multiplied by the device multiprocessor (compute-unit) count. When the per-CU occupancy is 0, fall back to reporting 1 group if the requested work-group size, dynamic local memory, and per-block register usage all fit within device limits, matching the CUDA adapter's semantics.
Closes: #21803