Metal : detect Apple SoC at backend init#23566
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ggerganov
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Great. We will utilize the device_id later to do the mapping of the kernel configs based on the device type. Note that we will likely have configs for different operators: FA, MUL_MAT, MUL_MAT_ID, etc. But at the start, we can focus just on the FA and extend later.
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* origin/master: (59 commits) ggml-zendnn : fixed naming of matmul function (ggml-org#20964) ci : do not allocate ccache for 3rd-party hosted runners (ggml-org#23730) ci : move [no release] check to dedicated check_release job (ggml-org#23734) ci : add `[no release]` keyword + fix sanitizer builds (ggml-org#23728) ci : move macos jobs to the apple workflow + fix names (ggml-org#23721) vulkan: optimize conv2d and implement coopmat1 support (ggml-org#22620) ci : remove vulkan SDK dep from webgpu job (ggml-org#23718) hexagon: add support for CONCAT op (ggml-org#23648) ci : move more CPU jobs to self-hosted runners (ggml-org#23715) ci : move sanitizer jobs to self-hosted runners (ggml-org#23713) ci : reduce (disable SYCL and CANN builds/releases) (ggml-org#23705) convert : support Gemma4ForCausalLM architecture (ggml-org#23682) models : Attach Mistral3 NVFP4 weight scales (ggml-org#23629) SYCL: implement ggml_sycl_pool_vmm (ggml-org#22862) tests: test-backend-ops -j <N> to run tests in parallel (ggml-org#23637) model : add support for talkie-1930-13b (ggml-org#22596) ggml-webgpu: Add MMVQ path for Q4/Q8/Q2_K/Q4_K and clean up legacy MUL_MAT pipeline (ggml-org#23594) [WebGPU] Check batch_compute_passes before sending passes when not doing GPU profiling (ggml-org#23457) CUDA: missing PDL sync for FWHT, better fallback (ggml-org#23690) metal : add apple device id (ggml-org#23566) ...
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Co-authored-by: lvyichen <[email protected]>
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Co-authored-by: lvyichen <[email protected]>
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Overview
Adds a small Metal device-family detection layer. Parses [mtl_device name] into a ggml_metal_device_id enum (M1..M5 + GENERIC) and stores it in props.device_id. Unknown devices fall back to GENERIC.
No consumers yet — this just lays the groundwork for the hardware-aware Metal work discussed in #23114
Requirements