Sync#16
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Thireus merged 6 commits intoThireus:masterfrom Sep 21, 2025
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* vulkan: Change the mul_mm shared memory and register caching system to use vec2 instead of scalars, to enable using dot2 instructions * use fma instead of dot to fix Nvidia and Apple performance issues
* ggml : introduce semantic versioning This commit introduces semantic versioning for the GGML library. The motivation for this is that the current versioning, using build numbers, makes it difficult to track changes and releases for projects that use ggml. The release steps are the following: 1. Sync the changes from llama.cpp using sync-llama-am.sh and after the PR has been approved and merged move to step 2. 2. Run scripts/release.sh and specify the type of release, major, minor, or patch. This script will handle incrementing the version (major|minor|patch), create a new commit with the version change, create a tag for the version, and prepare for the next development iteration. 3. Inspect the commits/tag and push to master. This will trigger the github release workflow which is triggered for new tags which will then publish a new release on github. Example usage: ```console $ ./scripts/release.sh major --dry-run [dry-run] - No changes will be made Step 1: Reading current version... Current version: 0.9.0-dev New release version: 1.0.0 Step 2: Updating version in ggml/CMakeLists.txt... [dry-run] Would update GGML_VERSION_MAJOR to 1 [dry-run] Would update GGML_VERSION_MINOR to 0 [dry-run] Would update GGML_VERSION_PATCH to 0 [dry-run] Would remove -dev suffix Step 3: Committing version bump... [dry-run] Would commit: 'ggml : bump version to 1.0.0' Step 4: Creating git tag... [dry-run] Would create tag: v1.0.0 with message 'Release version 1.0.0' Step 5: Preparing for next development cycle... [dry-run] Would update GGML_VERSION_MINOR to 1 [dry-run] Would add -dev suffix back Step 6: Committing development version... [dry-run] Would commit: 'ggml : prepare for development of 1.1.0-dev' [dry-run] Summary (no changes were made): • Would have released version: 1.0.0 • Would have created tag: v1.0.0 • Would have set next development version: 1.1.0-dev ``` Refs: ggml-org/ggml#1333 * ggml: create branch for release candidate and check master * ggml : sign the git tag
* vulkan: optimize UMA buffer operations and fix driver hangs The previous implementation was blocking the GPU for extended periods, causing the i915 driver to reset the context due to the hangcheck protection. [32628.443070] i915 0000:00:02.0: [drm] GPU HANG: ecode 12:1:85dffffb, in llama-server [194114] [32628.443091] i915 0000:00:02.0: [drm] llama-server[194114] context reset due to GPU hang * vulkan: implement deferred_memset on UMA --------- Signed-off-by: Giuseppe Scrivano <gscrivan@redhat.com>
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Apr 9, 2026
) * ggml: backend-agnostic tensor parallelism * support for GPT-OSS, Qwen 3 MoE * partial Vulkan fix * add support for 4/8 GPUs * unconditional peer access * re-use buffers + ggml contexts * fix output pattern * NCCL support * GGML: HIP: add RCCL support * Remove shfl and AllReduce from backend interface * move allocation workaround out of ggml-alloc.c * 2d tensor set/get support * Fix the seg fault without NCCL * Apply suggestion from JohannesGaessler * support for tensor dims % n_devs != 0 * fix view_offs scaling * arbitrary num. of GPUs/tensor split * fix compilation * better granularity estimate * Support device-specific host buffer types if all underlying backends expose the same type. This allows using pinned memory instead of pageable memory for CUDA. Fix compilation errors. * partial Qwen 3 Next support * Fix qwen3 30b (#8) * Fix crash with Qwen-30B-A3B Q4_0 Qwen-30B-A3B Q4_0 has an intermediate dimension of 768. Using a granularity of 256 forces an uneven split between GPUs, which is not supported by the current implementation. * Decide block size based on tensor quantization type * Fix crashes due to KV cache serialization (#9) KV cache serialization requires non-zero offsets on the tensor. Add support in the meta backend to set/get a tensor with a non-zero offset. * metal : fix build (#7) * static memory allocations, fix usage count * fix tensor granularity * more even memory distribution * use BF16 for allreduce * rebase fixup * better error message for unsupported architectures * Fix device mismatch during scatter of allReduce. (#11) There is a mismatch between the dst buffer device and the backend device, causing the use of sync copies * Enable the previous allreduce implementation. It is better in both perf and stability (#12) * delay AllReduce for Moe for less I/O * build : clean-up compile warnings * backend : move most of the meta backend API to ggml-backend-impl.h * cont : hide unused public API in the implementation * llama : use llama_device + remove ggml_backend_dev_is_meta() * ggml-backend : remove unused alloc include * minor : remove regex include * ggml : introduce ggml-ext.h for staging new APIs * rebase fixup * fix tests * llama : more robust logic for determining Meta devices (#16) * llama : more robust logic for determining Meta devices * cont : fix devs size check Co-authored-by: Johannes Gäßler <johannesg@5d6.de> * cont : fix log type Co-authored-by: Johannes Gäßler <johannesg@5d6.de> --------- Co-authored-by: Johannes Gäßler <johannesg@5d6.de> * disable roundtrip for meta backend * fix arch selection * Qwen 3.5 support * fix Gemma 4 MoE * fix OpenVino, SYCL * fix test-llama-archs for CPU-only builds * Fix Qwen 3.5 MoE * disable meta backend tests for WebGPU * tests : filter CPU-based devices from the Meta backend tests (#17) * meta : formatting, naming, indentation (#18) * formatting : llama-model.cpp * formatting : ggml-ext.h * formatting : ggml-backend-meta.cpp * meta : add TODO * add documentation * better error messages * fix GPT-OSS --------- Co-authored-by: Carl Philipp Klemm <carl@uvos.xyz> Co-authored-by: Gaurav Garg <gaugarg@nvidia.com> Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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