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2fc8d1851ee8fc0d5fd766bb6e2bcdcdec66cbdf
66 Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
 Aleksander Grygier
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59778f0196 |
ui: Restructure repo to use tools/ui folder and ui / UI / llama-ui / LLAMA_UI naming (#23064)
* webui: Move static build output from `tools/server/public` to `build/ui` directory * refactor: Move to `tools/ui` * refactor: rename CMake variables and preprocessor defines - Rename LLAMA_BUILD_WEBUI -> LLAMA_BUILD_UI (old kept as deprecated) - Rename LLAMA_USE_PREBUILT_WEBUI -> LLAMA_USE_PREBUILT_UI (old kept as deprecated) - Backward compat: old vars auto-forward to new ones with DEPRECATION warning - Rename internal vars: WEBUI_SOURCE -> UI_SOURCE, WEBUI_SOURCE_DIR -> UI_SOURCE_DIR, etc. - Rename HF bucket: LLAMA_WEBUI_HF_BUCKET -> LLAMA_UI_HF_BUCKET - Emit both LLAMA_BUILD_WEBUI and LLAMA_BUILD_UI preprocessor defines - Emit both LLAMA_WEBUI_DEFAULT_ENABLED and LLAMA_UI_DEFAULT_ENABLED * refactor: rename CLI flags (--webui -> --ui) with backward compat - Add --ui/--no-ui (old --webui/--no-webui kept as deprecated aliases) - Add --ui-config (old --webui-config kept as deprecated alias) - Add --ui-config-file (old --webui-config-file kept as deprecated alias) - Add --ui-mcp-proxy/--no-ui-mcp-proxy (old --webui-mcp-proxy kept as deprecated) - Add new env vars: LLAMA_ARG_UI, LLAMA_ARG_UI_CONFIG, LLAMA_ARG_UI_CONFIG_FILE, LLAMA_ARG_UI_MCP_PROXY - C++ struct fields: params.ui, params.ui_config_json, params.ui_mcp_proxy added alongside old fields - Backward compat: old fields synced to new ones in g_params_to_internals * refactor: update C++ server internals with backward compat - Rename json_webui_settings -> json_ui_settings (both kept in server_context_meta) - Rename params.webui usage -> params.ui (both synced, old still works) - JSON API emits both "ui"/"ui_settings" and "webui"/"webui_settings" keys - Server routes use params.ui_mcp_proxy || params.webui_mcp_proxy - Preprocessor guards use #if defined(LLAMA_BUILD_UI) || defined(LLAMA_BUILD_WEBUI) * refactor: rename CI/CD workflows, artifacts, and build script - Rename webui-build.yml -> ui-build.yml; artifact webui-build -> ui-build - Rename webui-publish.yml -> ui-publish.yml; var HF_BUCKET_WEBUI_STATIC_OUTPUT -> HF_BUCKET_UI_STATIC_OUTPUT - Rename server-webui.yml -> server-ui.yml; job webui-build/checks -> ui-build/checks - Update server.yml: job/artifact refs webui-build -> ui-build - Update release.yml: all webui-build/publish refs -> ui-build/publish; HF_TOKEN_WEBUI_STATIC_OUTPUT -> HF_TOKEN_UI_STATIC_OUTPUT - Update server-self-hosted.yml: webui-build -> ui-build - Update build-self-hosted.yml: HF_WEBUI_VERSION -> HF_UI_VERSION - Rename webui-download.cmake -> ui-download.cmake (internal refs updated) - Update labeler.yml: server/webui -> server/ui path label * docs: update CODEOWNERS and server README docs - Update CODEOWNERS: team ggml-org/llama-webui -> ggml-org/llama-ui, path /tools/server/webui/ -> /tools/ui/ - Update server README.md: CLI tables show --ui flags with deprecated --webui aliases - Update server README-dev.md: "WebUI" -> "UI", paths updated to tools/ui/ * fix: Small fixes for UI build * fix: CMake.txt syntax * chore: Formatting * fix: `.editorconfig` for llama-ui * chore: Formatting * refactor: Use `APP_NAME` in Error route * refactor: Cleanup * refactor: Single migration service * make llama-ui a linkable target * fix: UI Build output * fix: Missing change * fix: separate llama-ui npm build output into build/tools/ui/dist subfolder + use cmake npm build instead of downloading ui-build.yml artifacts in CI * refactor: UI workflows cleanup --------- Co-authored-by: Xuan Son Nguyen <son@huggingface.co> |
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Sigbjørn Skjæret
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49d1701bd2 | ci : fix release symlinks (#23119) | ||
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Sigbjørn Skjæret
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769cc93a43 |
ci : fix transform of top . entry in release archive (#23080)
* fix transform of top . entry in release archive * simplify |
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Aleksander Grygier
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253ba110bc |
webui: Move static build output from repo code to HF Bucket (#22937)
* ci: add workflow to publish webui to Hugging Face bucket * ci: add webui release job to release workflow * ci: test webui release job * chore: Return to default minification strategy for build output files * ci: extract webui build into separate workflow and job * chore: Ignore webui static output + clean up references * chore: Delete legacy webui static output * chore: Ignore webui build static output * fix: Workflow * fix: Versioning naming * chore: Update package name * test: Test CI fix * refactor: Naming * server: implement webui build strategy with HF Bucket support * chore: Remove test workflow * chore: Use WebUI build workflow call in other workflows * server: HF Buckets fallback for WebUI build * refactor: App name variable * refactor: Naming * fix: Retrieve loading.html * fix: workflow syntax * fix: Rewrite malformed release.yml * fix: Req param * test: Re-add missing Playwright installation for CI tests * refactor: Logic & security improvements * refactor: Retrieve publishing jobs and DRY the workflows * fix: Test workflow syntax * fix: Upstream Release Tag for test workflow * chore: Remove test workflow * ci: Run WebUI jobs on `ubuntu-24.04-arm` * refactor: Post-CR cleanup Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com> * refactor: CI cleanup * refactor: Cleanup * test: Test workflow * refactor: use LLAMA_BUILD_NUMBER instead of LLAMA_BUILD_TAG for HF Bucket webui downloads * server: add fallback mechanism for HF Bucket webui downloads from latest directory * fix: Incorrect argument order in file(SHA256) calls for checksum verification * refactor: Use cmake script for handling the HF Bucket download on build time * feat: support local npm build for WebUI assets * refactor: add `HF_ENABLED` flag to control WebUI build/download provisioning * refactor: Cleanup * chore: Remove test workflow * fix: remove s390x from release workflow * fix: add webui-build dependency to ubuntu-22-rocm and windows-hip * Revert "fix: remove s390x from release workflow" This reverts commit debcfffa9bc1e3112eae41f2d29741b682e4eb19. * fix: Release workflow file * fix: Proper release tag used for HF Bucket upload * fix: Remove duplicate steps in release workflow --------- Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> |
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Katostrofik
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9ed6e19b9d |
SYCL: fix multi-GPU system RAM exhaustion by using Level Zero allocations (#21597)
* SYCL: fix multi-GPU system RAM exhaustion by using Level Zero allocations Replace sycl::malloc_device with zeMemAllocDevice for GPU memory allocation in the SYCL backend. sycl::malloc_device triggers the xe kernel driver's DMA-buf/TTM path which mirrors every VRAM allocation 1:1 in system RAM. zeMemAllocDevice uses the SVM/P2P path with no host staging. On a dual Intel Arc Pro B70 system (64GB VRAM, 64GB RAM), a 15.6 GiB model consumed 60 GiB of system RAM via sycl::malloc_device, causing OOM crashes. With zeMemAllocDevice, the same workload uses ~6.7 GiB of system RAM with no performance regression. All Level Zero calls include automatic fallback to the original SYCL allocation path if Level Zero interop is unavailable. * SYCL: address review feedback - remove try/catch, check device types, deduplicate - Remove try/catch from malloc/free/memcpy helpers, check backend and device type upfront instead (ggml_sycl_is_level_zero, ggml_sycl_is_dgpu) - Move shared helpers (is_level_zero, is_dgpu, free_device) to common.cpp and declare in common.hpp to eliminate code duplication - Use SYCL_CHECK(CHECK_TRY_ERROR()) for fallback sycl::free calls - Guard dev2dev_memcpy L0 path to dGPU-to-dGPU only, preserving the host-staged path for iGPU-to-dGPU transfers - Add Windows Level Zero SDK path detection (LEVEL_ZERO_V1_SDK_PATH) in CMakeLists.txt (co-authored with @arthw) * SYCL: add build/runtime flags for Level Zero, address review feedback Implements the architecture suggested by @arthw: compile-time and runtime flags to cleanly separate Level Zero and SYCL memory API paths. - Add GGML_SYCL_SUPPORT_LEVEL_ZERO cmake option (default ON). All Level Zero code is wrapped in #ifdef so the build works on systems without the Level Zero SDK installed (e.g. CPU-only CI servers). Both the loader library and headers are checked before enabling. - Add GGML_SYCL_ENABLE_LEVEL_ZERO runtime env var (default 1). Controls whether Level Zero or SYCL memory APIs are used. Only one API style is used per session, no mixing. If Level Zero is enabled but the devices don't support the Level Zero backend, it auto-disables with a warning. - Remove Level Zero code from dpct_malloc. It was unused (dpct::device_memory is not called anywhere in the backend) and used try/catch for flow control. - Update SYCL.md with documentation for both new parameters. Tested on Intel Arc Pro B70 (32GB), single-GPU and dual-GPU, with both GGML_SYCL_SUPPORT_LEVEL_ZERO=ON and OFF builds. AI-assisted development (Claude). Code reviewed and tested on my hardware. * SYCL: unify Level Zero malloc/free call sites, address review feedback Move ggml_sycl_malloc_device to common.cpp alongside ggml_sycl_free_device. Both functions are now unconditionally available — Level Zero code is #ifdef'd inside the functions, not at call sites. All call sites use uniform SYCL_CHECK(CHECK_TRY_ERROR()) wrapping with no #ifdef blocks. Addresses arthw's review: wrap all malloc/free in SYCL_CHECK for stack traces on failure, eliminate duplicated #ifdef/else patterns at 6 call sites (-29 lines net). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * SYCL: add Level Zero SDK to CI, fix device check and missed alloc paths Add Level Zero SDK installation to Ubuntu and Windows SYCL CI jobs so the Level Zero code path is compiled and tested in CI. Fix two bugs found during extended dual-GPU testing (no ONEAPI_DEVICE_SELECTOR set): - The Level Zero backend check was iterating all SYCL devices including CPU. The OpenCL CPU device caused Level Zero to be disabled for the GPUs, defeating the fix on multi-GPU systems. Added is_gpu() filter so only GPU devices are checked. - sycl_ext_malloc_device/sycl_ext_free (tensor reorder temp buffers) were still calling sycl::malloc/sycl::free directly, bypassing the Level Zero path. Routed through ggml_sycl_malloc_device/free_device for consistency with the other device memory call sites. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * SYCL: address arthw review feedback on Level Zero memory API structure - Move ggml_sycl_malloc_device to static function in ggml-sycl.cpp; only ggml_sycl_free_device (used by common.cpp) stays in common.cpp - Switch both helpers to use g_ggml_sycl_enable_level_zero global instead of per-call queue backend checks - Remove #ifdef wrapper from global definition; always declare at 0, add #else branch in init block so it stays 0 when L0 not compiled in - Update init loop comment to explain GPU-only device check - CMakeLists: message(STATUS) before the if block; align option wording AI-assisted implementation. Reviewed and tested on dual Intel Arc Pro B70 (32 GB each): test-backend-ops OK on both GPUs, single/dual-GPU Q4_K_M and Q8_0 bench correct, zeMemAllocDevice GTT delta confirmed <5 MiB per 4 GiB allocation (vs ~4 GiB shadow with sycl::malloc_device). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * SYCL: remove unused cstdio/cstdlib includes from common.cpp Leftover from the deleted ggml_sycl_queue_supports_level_zero helper. Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com> * Apply suggestions from code review Co-authored-by: Neo Zhang <zhang.jianyu@outlook.com> * SYCL: preserve Level Zero allocation path during early malloc * ci: fix Level Zero package conflict in Intel Docker build * ci: find Level Zero loader in oneAPI package step * ci: allow Windows SYCL package without Level Zero DLL --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> Co-authored-by: Neo Zhang <zhang.jianyu@outlook.com> |
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Sigbjørn Skjæret
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0949beb5a3 | fix build number for sycl release (#22283) | ||
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Neo Zhang Jianyu
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4ead6fd957 |
[SYCL] Update oneapi 2025.3.3, Seperate SYCL build, release Ubuntu 24 package. (#22078)
* upgrade oneAPI to 2025.3.3 * update * seperate SYCL CI and support release binary package for ubuntu 24 * add dependence * remove wrong copy lines * add missed line * remove other task to test the release for SYCL * rm more for test release * fix file name * correct the error in running * support build for fp32/fp16 * rm ubuntu-24-sycl-fp16 for duplicated * refactor build setting * update guide for ubuntu 24 release package, restore the release.yml for other backend * user docker replace to install oneAPI * use download installation package to replace docker * use wget to download and install oneapi, replace the apt cmd * enable ccache for oneAPI installation * fix format error * enable cache for oneAPI installation * update guide * Update .github/workflows/release.yml Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> * Update .github/workflows/release.yml Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> * Update .github/workflows/build-sycl.yml Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> * Update .github/workflows/release.yml Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> --------- Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> |
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Sigbjørn Skjæret
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83d58e02fc | ci : free disk space for rocm release (#22012) | ||
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Yuri Khrustalev
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a279d0f0f4 |
ci : add android arm64 build and release (#21647)
* server: respect the ignore eos flag * ci: add android arm64 build and release * patch * pin android-setup actions to v4 * Apply suggestions from code review Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> * lf in the suggestion --------- Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> |
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Jeff Bolz
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1f30ac0cea |
vulkan: Programmatically add RoundingModeRTE to all shaders when the device supports it (#21572)
* vulkan: Programmatically add RoundingModeRTE to all shaders when the device supports it * use FetchContent to get SPIRV-Headers * Fetch spirv-headers unconditionally * remove fetchcontent, rely on installed headers * fix ubuntu job * Update docs/build.md |
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Martin Klacer
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5c4aae66e1 |
devops: kleidiai: provide KleidiAI-Enabled ARM Release Artifact (#21259)
* Unified macOS release setup with strategy-matrix block * Added KleidiAI arm64 macOS release definition Change-Id: I05520889ffc646488a178d06817a17f29274465a Signed-off-by: Martin Klacer <martin.klacer@arm.com> |
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Slobodan Josic
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7c7d6ce5c7 |
[HIP] Bump ROCm version to 7.2.1 (#21066)
Bump ROCm version on Linux from 7.2 to 7.2.1 Add gfx1102 target Delete LLVM workaround since ROCm 7.2.1 has fix for ROCm 7.2 perf regression https://github.com/ROCm/rocm-systems/issues/2865 --------- Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> |
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Seungmin Kim
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eec6f85d7b | CI: Enable CPU and Vulkan ARM64 Release (#21207) | ||
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KokerZhou
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6861f6509a |
CANN: update docker images to 8.5.0 and improve CANN.md (#20801)
* cann: update docker images to 8.5.0 - bump CANN base image from 8.3.rc2 to 8.5.0 - bump ASCEND_VERSION from 8.1.RC1.alpha001 to 8.5.0 Move to newer stable releases. * cann: update CANN.md * Update CANN.md to include BF16 support Added BF16 support information to the CANN documentation and corrected formatting for the installation instructions. * Fix formatting issues in CANN.md Fix 234: Trailing whitespace |
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Sigbjørn Skjæret
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ab0bb93748 |
ci : bump ccache [no ci] (#20679)
* bump ccache * forgotten * disable for s390x * disable also for ppc64le |
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Georgi Gerganov
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9cd4ebcfb1 |
ci : split build.yml + server.yml (#20546)
* ci : split build.yml * cont : split server.yml * cont : reduce paths * cont : split build-android.yml + update paths * ci : make msys workflows manual (#20588) * ci : make cross-build workflows manual (#20585) * cont : fix release paths Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> --------- Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> |
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Georgi Gerganov
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b4768955c4 | ci : move self-hosted workflows to separate files (#20540) | ||
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Eve
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3a6f059909 |
ci : try to optimize some jobs (#20521)
* force arm version to test * run on either x86 or arm if we can help it, this only works for runs without ccache * readd other jobs * remove ccache |
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Zijun Yu
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9789c4ecdc |
ggml : add OpenVINO backend (#15307)
* Update build doc * Add cgraph tensor output name to OV op name * Update openvino build instructions * Add initial NPU support * draft NPU support version 2: prefill + kvcache * NPU support version 2: prefill + kvcache * Change due to ggml cgraph changes, not correct yet * Change due to ggml cgraph changes, llama-3.2 CPU work * Add AMD64 to CMakeLists * Change due to ggml cgraph changes, all device work * Refactor: clean, fix warning * Update clang-format * Statful transformation for CPU GPU * Add SwiGLU * Fuse to SDPA * Replace Concat with Broadcast in MulMat for GQA * Pull out indices creation for kv cache update * Refactor: remove past_token_len from extra_inputs * Fix Phi3 SwiGLU and SoftMax * Pull out sin cos from rope * Reduce memory: free ov weights node after graph conversion * Fix CPY due to cgraph change * Added OpenVINO CI/CD. Updated docs * Fix llama-cli * Fix Phi3 ROPE; Add test-backend-ops * Fix NPU * Fix llama-bench; Clang-format * Fix llama-perplexity * temp. changes for mark decomp * matmul in fp32 * mulmat input conversion fix * mulmat type conversion update * add mark decomp pass * Revert changes in fuse_to_sdpa * Update build.md * Fix test-backend-ops * Skip test-thread-safety; Run ctest only in ci/run.sh * Use CiD for NPU * Optimize tensor conversion, improve TTFT * Support op SET_ROWS * Fix NPU * Remove CPY * Fix test-backend-ops * Minor updates for raising PR * Perf: RMS fused to OV internal RMS op * Fix after rebasing - Layout of cache k and cache v are unified: [seq, n_head, head_size] - Add CPY and FLASH_ATTN_EXT, flash attn is not used yet - Skip test-backend-ops due to flash attn test crash - Add mutex around graph conversion to avoid test-thread-safety fali in the future - Update NPU config - Update GPU config to disable SDPA opt to make phi-3 run * Change openvino device_type to GPU; Enable flash_attn * Update supports_buft and supports_op for quantized models * Add quant weight conversion functions from genai gguf reader * Quant models run with accuracy issue * Fix accuracy: disable cpu_repack * Fix CI; Disable test-backend-ops * Fix Q4_1 * Fix test-backend-ops: Treat quantized tensors as weights * Add NPU Q4_0 support * NPU perf: eliminate zp * Dequantize q4_1 q4_k q6_k for NPU * Add custom quant type: q8_1_c, q4_0_128 * Set m_is_static=false as default in decoder * Simpilfy translation of get_rows * Fix after rebasing * Improve debug util; Eliminate nop ReshapeReshape * STYLE: make get_types_to_requant a function * Support BF16 model * Fix NPU compile * WA for npu 1st token acc issue * Apply EliminateZP only for npu * Add GeGLU * Fix Hunyuan * Support iSWA * Fix NPU accuracy * Fix ROPE accuracy when freq_scale != 1 * Minor: not add attention_size_swa for non-swa model * Minor refactor * Add Q5_K to support phi-3-q4_k_m * Requantize Q6_K (gs16) to gs32 on GPU * Fix after rebasing * Always apply Eliminate_ZP to fix GPU compile issue on some platforms * kvcachefusion support * env variable GGML_OPENVINO_DISABLE_SDPA_OPTIMIZATION added * Fix for Phi3 * Fix llama-cli (need to run with --no-warmup) * Fix add_sliced_mask; Revert mulmat, softmax; Remove input attention_size, iSWA model not working * fix after rebasing * Fix llama-3-8b and phi3-mini q4_0 NPU * Update to OV-2025.3 and CMakeLists.txt * Add OV CI cache * Apply CISC review and update CI to OV2025.3 * Update CI to run OV dep install before build * Update OV dockerfile to use OV2025.3 and update build docs * Style: use switch in supports_ops * Style: middle ptr and ref align, omit optional struct keyword * NPU Unify PD (#14) * Stateless. Fix llama-cli llama-server * Simplify broadcast op in attention * Replace get_output_tensor+memcpy with set_output_tensor * NPU unify PD. Unify dynamic and static dims * Clean placeholders in ggml-openvino.cpp * NPU unify PD (handled internally) * change graph to 4d, support multi sequences * Fix llama-bench * Fix NPU * Update ggml-decoder.cpp Hitting error while compiling on windows: error C3861: 'unsetenv': identifier not found Reason: unsetenv() is a POSIX function; it doesn’t exist on Windows. Visual Studio (MSVC) won’t recognize it. Proposed fix: Use _putenv_s() (Windows equivalent) This is supported by MSVC and achieves the same effect: it removes the environment variable from the process environment. This keeps cross-platform compatibility. * Update ggml-decoder.cpp * Update ggml-decoder.cpp * Update ggml-decoder.cpp * Update ggml-decoder.cpp * Update ggml-decoder.cpp * Remove the second decoder for node. Moving the function into the model decoder * Fix error for naive * NPU prefill chunking * NPU fix llama-bench * fallback naive run with accuracy issue * NPU support llma-perplexity -b 512 --no-warmup * Refactor: split ov_graph_compute for dynamic and static * remove unused API GgmlOvDecoder::get_output_stride(const std::string & name) * minor update due to ov 2025.4 * remove unused API GgmlOvDecoder::get_output_names() * remove unused API get_output_shape(const std::string & name) * Modified API GgmlOvDecoder::get_output_type(const std::string & name) * Removed API GgmlOvDecoder::get_output_op_params(const std::string & name) * Removed API get_output_ggml_tensor(const std::string & name) * Removed API m_outputs * Removed m_output_names * Removed API GgmlOvDecoder::get_input_names() * Removed API GgmlOvDecoder::get_input_stride(const std::string& name) * Removed API get_input_type * Removed API get_input_type * Removed API GgmlOvDecoder::get_input_shape(const std::string & name) * Removed API GgmlOvDecoder::get_input_op_params(const std::string & name) * Fix error for decoder cache * Reuse cached decoder * GPU remove Q6_K requantization * NPU fix wrong model output shape * NPU fix q4 perf regression * Remove unused variable nodes * Fix decoder can_reuse for llama-bench * Update build.md for Windows * backend buffer: allocate on host * Use shared_buffer for GPU NPU; Refactor * Add ov_backend_host_buffer; Use cached remote context * Put kvcache on GPU * Use ggml_aligned_malloc * only use remote tensor for kvcache * only use remote tensor for kvcache for GPU * FIX: use remote tensor from singleton * Update build.md to include OpenCL * NPU always requant to q4_0_128 * Optimize symmetric quant weight extraction: use single zp * Use Q8_0_C in token embd, lm_head, and for 5 and 6 bits quant * Update build.md * Support -ctk f32 * Initial stateful graph support * Update ggml/src/ggml-openvino/ggml-decoder.cpp Co-authored-by: Yamini Nimmagadda <yamini.nimmagadda@intel.com> * code cleanup * npu perf fix * requant to f16 for Q6 embed on NPU * Update ggml/src/ggml-openvino/ggml-decoder.cpp * Update ggml/src/ggml-openvino/ggml-openvino-extra.cpp * Create OPENVINO.md in llama.cpp backend docs * Update OPENVINO.md * Update OPENVINO.md * Update OPENVINO.md * Update build.md * Update OPENVINO.md * Update OPENVINO.md * Update OPENVINO.md * kq_mask naming fix * Syntax correction for workflows build file * Change ov backend buffer is_host to false * Fix llama-bench -p -n where p<=256 * Fix --direct-io 0 * Don't put kvcache on GPU in stateful mode * Remove hardcode names * Fix stateful shapes * Simplification for stateful and update output shape processing * Remove hardcode names * Avoid re-compilation in llama-bench * Extract zp directly instead of bias * Refactor weight tensor processing * create_weight_node accept non-ov backend buffer * remove changes in llama-graph.cpp * stateful masking fix (#38) Fix for stateful accuracy issues and cl_out_of_resources error in stateful GPU with larger context sizes. * Fix test-backend-ops crash glu, get_rows, scale, rms_norm, add * hardcoded name handling for rope_freqs.weight * Suppress logging and add error handling to allow test-backend-ops to complete * Fix MUL_MAT with broadcast; Add unsupported MUL_MAT FLASH_ATTN cases * Use bias instead of zp in test-backend-ops * Update OV in CI, Add OV CI Tests in GH Actions * Temp fix for multithreading bug * Update OV CI, fix review suggestions. * fix editorconfig-checker, update docs * Fix tabs to spaces for editorconfig-checker * fix editorconfig-checker * Update docs * updated model link to be GGUF model links * Remove GGML_CPU_REPACK=OFF * Skip permuted ADD and MUL * Removed static variables from utils.cpp * Removed initializing non-existing variable * Remove unused structs * Fix test-backend-ops for OV GPU * unify api calling * Update utils.cpp * When the dim is dynamic, throw an error, need to is stastic forst * Add interface compute_model_outputs(), which get the model output through computing the node use count & status in the cgraph to avoid the flag using * No need to return * Fix test-backend-ops for OV GPU LNL * Fix test-thread-safety * use the shape from infer request of output tensor create to avoid issue * fix dynamic output shape issue * fix issue for the unused node in tests * Remove unused lock * Add comment * Update openvino docs * update to OV release version 2026.0 * add ci ov-gpu self hosted runner * fix editorconfig * Fix perplexity * Rewrite the model inputs finding mechanism (#54) * Rewrite the model inputs finding logistic * Put stateful shape handle in get input shape * Put the iteration logistic in func * Added ggml-ci-intel-openvino-gpu and doc update * .hpp files converted to .h * fix ggml-ci-x64-intel-openvino-gpu * Fix for stateful execution bug in llama-bench * Minor updates after stateful llama-bench fix * Update ggml/src/ggml-openvino/utils.cpp Co-authored-by: Yamini Nimmagadda <yamini.nimmagadda@intel.com> * Remove multiple get_shape calls * Bring back mutex into compute * Fix VIEW op, which slice the input node * Added token_len_per_seq existence check before slicing masks and moved node retrieval inside guarded block to prevent missing-key access * Temp. fix for test requant errors * Update to OV ggml-ci to low-perf * ci : temporary disable "test-llama-archs" * ci : cache v4 -> v5, checkout v4 -> v6, fix runner tag * docs : update url * Fix OV link in docker and Update docs --------- Co-authored-by: Ravi Panchumarthy <ravi.panchumarthy@intel.com> Co-authored-by: Cavus Mustafa <mustafa.cavus@intel.com> Co-authored-by: Arshath <arshath.ramzan@intel.com> Co-authored-by: XuejunZhai <Xuejun.Zhai@intel.com> Co-authored-by: Yamini Nimmagadda <yamini.nimmagadda@intel.com> Co-authored-by: Xuejun Zhai <Xuejun.Zhai@intel> Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> |
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Mario Limonciello
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8fdf269dad |
ci : update Windows ROCm build to 26.Q1 [no ci] (#19810)
* Update build command to build llama-* tools not just ggml-hip * Update rocWMMA headers to 7.2 * Add GFX1150 target * Correct library paths for AMD libraries in 26.Q1 |
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Sigbjørn Skjæret
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9f0684f003 | ci : fix rocm archive name [no ci] (#19808) | ||
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Sigbjørn Skjæret
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e877ad8bd9 | ci : fix rocm release path [no ci] (#19784) | ||
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Mario Limonciello
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f75c4e8bf5 |
Add a build target to generate ROCm artifacts using ROCm 7.2 (#19433)
This builds the following targets: * gfx1151 * gfx1150 * gfx1200 * gfx1201 * gfx1100 * gfx1101 * gfx1030 * gfx908 * gfx90a * gfx942 |
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Aaron Teo
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8b30840703 | release: update github api (#19022) | ||
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Pádraic Slattery
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6b99a223e3 | ci : update GitHub Actions versions [no ci] (#18935) | ||
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Chenguang Li
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e20fa27a02 |
CANN: fix an issue where get_env was not fully renamed (#18796)
* CANN: fix an issue where get_env was not fully renamed * ci: add cann with acl group * ci: define use_acl_graph using GitHub Action * ci: update cann dockerfile with acl graph |
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Adrien Gallouët
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516a4ca9b5 | refactor : remove libcurl, use OpenSSL when available (#18828) | ||
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Adrien Gallouët
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537d4240d4 |
ci : remove libcurl in releases (#18775)
Signed-off-by: Adrien Gallouët <angt@huggingface.co> |
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Daniel Bevenius
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d3dce4e0a5 |
sampling : add support for backend sampling (#17004)
* sampling : add support for backend sampling This commit adds support for performing sampling operations on the backend (e.g. GPU) as part of the model computation graph. The motivation for this feature is to enable sampling to be performed directly on the backend as part of the computation graph being executed, allowing for some or all of the sampling to be done on the backend. For example, the backend sampler chain might select/sample a token directly in which case only the sampled token needs to be transferred from device memory to host memory. It is also possible for the backend samplers to perform filtering of the logits, or compute and filter the probability distribution, in which case only the filtered logits or probabilites need to be transferred back to system memory for further processing by CPU samplers. Currently the backend sampling works in a similar manner to how pooling works, it is a function that is called by build_graph and the sampler operations become part of the models computation graph. * llama-cli : add backend sampler configuration * server : add backend sampling options/configuration * webui : add backend sampling options * ggml : add initial cumsum implementation for CUDA * sampling : enable all backend sampler tests This commit enables all exisiting backend sampler tests in the test-backend-sampler. Previously, some tests were disabled because there were missing ggml operation implementations. * graph : do not include llama-model.h * sampling : always expose sampled_ids This commit precomputes and caches the full-vocab token id list in llama_context's constructor, so llama_get_backend_sampled_token_ids_ith always returns a valid pointer. The motivation for this is that this enables both common/sampling.cpp and src/llama-sampling.cpp can simplify their logic. Not all backends samplers that process logits need to set the sampled_tokens_id as they may not change the order of the logits, for example the temperature sampler only scales the logits but does not change their order. Simliar the logit bias sampler only adds bias to specific token ids but does not change the order of the logits. In these cases there will not be a device to host copy of the sampled token ids, and this is the use case where having this precomputed list is useful. * sampling : ensure at most one output token per seq This commit adds a check in the batch allocator to ensure that when backend sampling is enabled, at most one output token is specified per sequence. * CUDA: Optimize argsort for gpu-based token sampling Argsort is used for top-k currently. WE optimize argsort by 2 things: 1. Use `DeviceRadixSort` for single-row/sequence to parallelize it across our SMs 2. Use `DeviceSegmentedSort` for multi-row/sequence as this is the correct entrypoint (the function chooses different execution paths, it contains `DeviceSegmentedRadixSort` as one of the paths and will choose the best one according to heuristics. https://nvidia.github.io/cccl/cub/api/structcub_1_1DeviceSegmentedSort.html#overview Some perf numbers for a RTX PRO 6000: On the kernel level, tested with `GGML_CUDA_DISABLE_GRAPHS=1 ./test-backend-ops -o ARGSORT perf` Before: ``` ARGSORT(type=f32,ne=[65000,16,1,1],order=0): 4130 runs - 359.24 us/run ARGSORT(type=f32,ne=[200000,1,1,1],order=0): 8192 runs - 861.34 us/run ARGSORT(type=f32,ne=[200000,16,1,1],order=0): 1343 runs - 1020.01 us/run ``` After: ``` ARGSORT(type=f32,ne=[65000,16,1,1],order=0): 4130 runs - 312.41 us/run ARGSORT(type=f32,ne=[200000,1,1,1],order=0): 16384 runs - 63.48 us/run ARGSORT(type=f32,ne=[200000,16,1,1],order=0): 1343 runs - 874.36 us/run ``` --- On the model level, tested with `llama-cli -m gpt-oss-20b-mxfp4.gguf -n 200 -p "What is the Capital of Sweden?" -no-cnv -fa 1 --backend-sampling` Before: ``` llama_perf_sampler_print: sampling time = 0.25 ms / 207 runs ( 0.00 ms per token, 824701.20 tokens per second) llama_perf_context_print: load time = 18215.58 ms llama_perf_context_print: prompt eval time = 28.20 ms / 7 tokens ( 4.03 ms per token, 248.19 tokens per second) llama_perf_context_print: eval time = 714.79 ms / 199 runs ( 3.59 ms per token, 278.40 tokens per second) llama_perf_context_print: total time = 857.62 ms / 206 tokens ``` After ``` llama_perf_sampler_print: sampling time = 0.25 ms / 207 runs ( 0.00 ms per token, 828000.00 tokens per second) llama_perf_context_print: load time = 18366.92 ms llama_perf_context_print: prompt eval time = 35.92 ms / 7 tokens ( 5.13 ms per token, 194.87 tokens per second) llama_perf_context_print: eval time = 532.79 ms / 199 runs ( 2.68 ms per token, 373.50 tokens per second) llama_perf_context_print: total time = 683.65 ms / 206 tokens ``` * sampling : remove version from sampler chain This commit removes the version field from the sampler chain and instead used the sampler pointer itself for change detection. * sampling : always populate logits for sampled probs This commit updates common/sampler.cpp set_logits and src/llama-sampling.cpp llama_sampler_sample to always populate the logits field when backend sampled probabilities are available. The motivation for this is that this ensure that CPU sampler always have access to the logits values even when probabilites have been produced by backend samplers. * sampling : simplify backend sampling logic decode This commit tries to simplify the backend sampling logic in llama_context::decode. * squash! sampling : simplify backend sampling logic decode Fix condition to check if backend actually sampled tokens, not just that backend samplers are available. * common : fix regression caused by extra memory allocations during sampling * squash! sampling : simplify backend sampling logic decode The commit fixes a variable shadowing issue in the `llama_context::decode` function which was introduced in a previous refactoring. * squash! common : fix regression caused by extra memory allocations during sampling Apply the same changes to llama-sampling.cpp, llama_sampler_sample as were applied in commit |
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Mattt
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ee74642982 |
release: update release workflow to store XCFramework as Zip file (#18284)
* Update release workflow to store XCFramework as Zip file * Add comments to document Zip file requirement for XCFramework * Apply suggestions from code review Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> --------- Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> |
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Sigbjørn Skjæret
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74e05131e9 |
ci : remove non-windows zip artifacts (#18201)
* remove non-windows zip artifacts * add cuda dll links |
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jiahao su
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a8c7f33d79 |
ci : change the cann version and the container pull method (#17953)
fix error format Update build.yml Remove unnecessary zip files fix update |
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Neo Zhang
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68522c678d |
ci : support bfloat16 SYCL release package (#17855)
* support bfloat16 release package * add fallback file |
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Sigbjørn Skjæret
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0a540f9abd | ci : add windows-cuda 13.1 release (#17839) | ||
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Sigbjørn Skjæret
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03d9a77b85 |
ci : transform release binary root dir in tar to llama-bXXXX (#17773)
* transform release binary root dir in tar to llama-bXXXX * bsdtar supports -s instead of --transform |
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jiahao su
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7feb0a1005 |
ci : remove the build of openeuler-cann in release (#17724)
* Remove the build of openeuler-cann in release * Remove the relevant release files |
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Sigbjørn Skjæret
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b3e3060f4e | ci : move release details to the top visible by default (#17719) | ||
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Aaron Teo
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7b6d745364 | release: fix duplicate libs, store symbolic links (#17299) | ||
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jiahao su
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561a3e2788 | ci : change the openEuler-310p image to fix release (#17361) | ||
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jiahao su
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ffa277a54c |
CANN: Add openEuler-cann in build and release (#17192)
Update openEuler version Remove variable ASCEND_SOC_TYPE Modify the chip type Fix case in zip filename Change "device" to "chip_type" Modify the value of chip_type |
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Aaron Teo
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d38d9f0877 | ggml: add s390x cpu-feats (#16774) | ||
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Aaron Teo
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fcb235b466 |
ci: include s390x release binaries (#16648)
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> |
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Daniel Bevenius
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ad126479c2 |
ci : change macos-13 to macos-15-intel (#16401)
This commit updates the macos-13 runners to macos-15-intel. The motivation for this changes is the macos-13 runners are scheduled to be retired on 2025-12-04. Refs: https://github.blog/changelog/2025-09-19-github-actions-macos-13-runner-image-is-closing-down/ |
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Neo Zhang Jianyu
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2be72c2b12 |
SYCL: Update to oneAPI 2025.2 (#16371)
* update oneapi to 2025.2, use deep-learning-essentials to replace base-tool * update to 2025.2 use deeplearn essi to replace base toolkit * add missed dll * add deep learning essentials * add sycl-ls --------- Co-authored-by: Zhang Jianyu <zhang.jianyu@outlook.com> |
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uvos
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1fe4e38cc2 |
ci: Properly install rocwmma for hip builds (#16305)
* CI: Properly install rocwmma for hip builds on windows we now windows install rocwmma from ubuntu pacakges * CI: update linux rocm docker build to use rocm 7.0 |
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Sigbjørn Skjæret
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b2ba81dbe0 |
ci : fix ccache key for ubuntu-cpu-cmake (#16355)
* fix ccache key for ubuntu-cpu-cmake * set it for release as well [no ci] |
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Diego Devesa
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10d197409b |
releases : switch to rocWMMA develop branch, add gfx1151 (#15992)
* releases : switch to rocWMMA develop branch, add gfx1151 * remove unused variable ROCM_VERSION |
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lcy
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a0e13dcbe5 |
build: fix the build failures of Windows HIP release job (#15984)
* build: fix the cache keys for Windows HIP release job Update the cache keys to include the HIP SDK version, preventing the use of outdated ROCm installation caches. * build: sync changes from release.yml to build.yml - Update HIP SDK version to 25.Q3 and ROCm version to 6.4.2 - Update the cache keys to reflect the new versions * build: remove Windows HIP release for gfx1151 since the current stable rocWMMA does not support gfx1151. |
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Diego Devesa
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9ecb884346 |
releases : update ROCM, add gfx1200, gfx1201, gfx1151 (#15972)
* releases : update ROCM, add gfx1200, gfx1201, gfx1151 * releases : set target to 13.3 for macos-x64 * add hipblaslt.dll to release * add hipblaslt/library to release |
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Daniel Bevenius
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33daece86b |
ci : add caching for ROCm installation in release workflow (#15924)
This commit applies the same caching to the release workflow which
currently exists for the main CI workflow that was introduced in Commit
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