[DO NOT MERGE] Diff with the master branch #4
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ykhrustalev
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Implement conditional prefill computation skipping in llama-bench: disable computation for --depth prefill while keeping it enabled for prefill benchmarks. - Default behavior (no flag): Depth prefill skips computation - With `--enable-depth-computation`: Depth prefill performs full computation - `-p` benchmarks: Always perform computation (not affected by this flag)
Added a new windows-cuda job that: - Uses Windows 2022 runner with CUDA 12.4 - Installs CUDA toolkit and Ninja build system - Builds llama-bench with CUDA support enabled - Packages and uploads the benchmark tool artifacts - Follows the same pattern as the release.yml windows-cuda job Updated the release job to depend on the new windows-cuda job. *Make sure to read the [contributing guidelines](https://github.com/ggml-org/llama.cpp/blob/master/CONTRIBUTING.md) before submitting a PR* Co-authored-by: Claude <noreply@anthropic.com>
ykhrustalev
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Dec 8, 2025
* Faster tensors (#8) Add fast matrix and matrix/vector multiplication. * Use map for shader replacements instead of pair of strings * Wasm (#9) * webgpu : fix build on emscripten * more debugging stuff * test-backend-ops: force single thread on wasm * fix single-thread case for init_tensor_uniform * use jspi * add pthread * test: remember to set n_thread for cpu backend * Add buffer label and enable dawn-specific toggles to turn off some checks * Intermediate state * Fast working f16/f32 vec4 * Working float fast mul mat * Clean up naming of mul_mat to match logical model, start work on q mul_mat * Setup for subgroup matrix mat mul * Basic working subgroup matrix * Working subgroup matrix tiling * Handle weirder sg matrix sizes (but still % sg matrix size) * Working start to gemv * working f16 accumulation with shared memory staging * Print out available subgroup matrix configurations * Vectorize dst stores for sg matrix shader * Gemv working scalar * Minor set_rows optimization (#4) * updated optimization, fixed errors * non vectorized version now dispatches one thread per element * Simplify * Change logic for set_rows pipelines --------- Co-authored-by: Neha Abbas <nehaabbas@macbookpro.lan> Co-authored-by: Neha Abbas <nehaabbas@ReeseLevines-MacBook-Pro.local> Co-authored-by: Reese Levine <reeselevine1@gmail.com> * Comment on dawn toggles * Working subgroup matrix code for (semi)generic sizes * Remove some comments * Cleanup code * Update dawn version and move to portable subgroup size * Try to fix new dawn release * Update subgroup size comment * Only check for subgroup matrix configs if they are supported * Add toggles for subgroup matrix/f16 support on nvidia+vulkan * Make row/col naming consistent * Refactor shared memory loading * Move sg matrix stores to correct file * Working q4_0 * Formatting * Work with emscripten builds * Fix test-backend-ops emscripten for f16/quantized types * Use emscripten memory64 to support get_memory * Add build flags and try ci --------- Co-authored-by: Xuan Son Nguyen <son@huggingface.co> * Remove extra whitespace * Move wasm single-thread logic out of test-backend-ops for cpu backend * Disable multiple threads for emscripten single-thread builds in ggml_graph_plan * Fix .gitignore * Add memory64 option and remove unneeded macros for setting threads to 1 --------- Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
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A control PR to show the divergence from the original llama.cpp repo