Misc. bug: ggml-cuda: restore prop.integrated for HIP builds; #16308 hardcode breaks iGPU classification and supports_buft for AMD APUs

[mapatel-amd]

Name and Version

version: b9453

Operating systems

Windows, Linux Ubuntu

Which llama.cpp modules do you know to be affected?

CUDA/HIP module

Command line

N/A

Problem description

This issue led to this pr. As a result, the device field which determines if something is integrated or not is always set to false. This causes some issues because when a device has both an iGPU and a dGPU. Since HIP detects both devices as a non-integrated device, it allocates work to both of them as if they were both a dGPU.

I've traced the issue specifically leading to the function ggml_backend_cuda_device_supports_buft returning the wrong bool because the field is not set properly.

Steps to reproduce

1. Turn on integrated graphics in BIOS
2. Compile and run a model with llama.cpp using HIP backend

Let me know if a reproduction script is necessary.

Proposed and working change

Just add a guardrail where if llama.cpp is being compiled for HIP, then set it as prop.integrated.

// ggml/src/ggml-cuda/ggml-cuda.cu line 248
#if defined(GGML_USE_HIP)
        info.devices[id].integrated = prop.integrated;
#else
        info.devices[id].integrated = false; // Temporarily disabled due to issues with corrupted output (e.g. #15034)
#endif

Should any other information and clarifications be necessary, or if this change wouldn't work, please let me know. Just as a note, I built llama.cpp from source with the proposed change above and the fix worked. I can give a reproduction script if needed. I have tested this on both gfx1100 and gfx1201.

First Bad Commit

Not necessarily bad commit but not specific to HIP.
PR #16308

Relevant log output

You can reference the symptoms from the linked issues (lemonade-sdk/llamacpp-rocm#96 and ROCm/legacy-rocm-build#6227).

[zihaomu]

Hi @mapatel-amd, Thanks for identifying the root cause and proposing the fix.

I've checked your solution, it works well on my strix halo 128G machine, and submitted a PR to implement the solution discussed here:
#24172

Please take a look when you have a chance and let me know if I missed anything.