Commit Graph

7 Commits

Author SHA1 Message Date
LocalAI [bot]
f98b0f1c1e fix(gpu-libs): bundle transitive deps of GPU runtime libs (#10537) (#10539)
fix(gpu-libs): bundle transitive deps of GPU runtime libs

The per-vendor packagers in package-gpu-libs.sh copy an explicit allowlist
of top-level GPU runtime libraries (libamdhip64, libhipblas, librocblas, the
CUDA/Intel equivalents, ...) but never resolved their transitive
dependencies. Backends run through the bundled lib/ld.so with
LD_LIBRARY_PATH=lib, so any transitive dep not in the allowlist is a fatal
"cannot open shared object file" at load time.

On recent ROCm (base image rocm 7.2.1) the runtime libs link against
librocprofiler-register.so.0, which is not in the allowlist, so the rocm
llama-cpp backend (and every other GPU backend sharing this script) failed
to load with:

  librocprofiler-register.so.0: cannot open shared object file

The Vulkan path already solved this class of problem with copy_elf_deps
(ldd-based transitive resolution), but that sweep was only wired into the
Vulkan ICD path. This adds a generic sweep_transitive_deps that runs the
same ldd resolution over everything the allowlist already bundled, and wires
it into the ROCm, CUDA and Intel packagers. ldd returns the full recursive
closure, so one pass suffices; core libc-family deps are skipped via
is_core_lib so we never shadow the loader's own libc/libstdc++.

Adds a self-contained regression test (gcc + ldd) that fabricates a primary
lib linking a transitive lib and asserts the sweep bundles the dependency.

Fixes #10537

Assisted-by: Claude:opus-4.8 [Claude Code]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-06-27 01:36:33 +02:00
Richard Palethorpe
606128e4e9 feat(vulkan): make Vulkan backends self-contained on the GPU (#10404)
Vulkan backends bundled their own loader and ICD manifests but neither the
Mesa driver the manifests point at nor a way to make the loader find them,
so on a runtime base image without Mesa the loader enumerated zero devices
and the GPU silently fell back to CPU (only NVIDIA worked, since its ICD is
injected by the container toolkit).

- scripts/build/package-gpu-libs.sh: for each installed ICD manifest, bundle
  the driver .so its library_path names — no hard-coded, platform-dependent
  soname list — plus that driver's ldd dependencies, skipping manifests whose
  driver isn't installed. Rewrite each library_path to a bare soname so the
  bundled driver resolves via the LD_LIBRARY_PATH run.sh already sets.
- .docker/install-base-deps.sh, backend/Dockerfile.golang,
  backend/Dockerfile.python: install mesa-vulkan-drivers in every Vulkan
  builder so the driver + manifests exist to be packaged (the LunarG SDK
  ships only the loader and shader tooling).
- pkg/model/process.go: when a backend ships vulkan/icd.d/, point the loader
  at it via VK_DRIVER_FILES/VK_ICD_FILENAMES at launch (no-op otherwise).
  Covered by pkg/model/process_vulkan_test.go.
- backend/go/parakeet-cpp/package.sh: complete the L0 stub (was missing the
  libc-family ldd walk + GPU-lib packaging) by mirroring whisper, so the
  vulkan-parakeet image actually bundles its GPU runtime.

Assisted-by: Claude Code:claude-opus-4-8

Signed-off-by: Richard Palethorpe <io@richiejp.com>
2026-06-19 17:16:33 +02:00
Andreas Egli
1d0de757c3 fix: add hipblaslt library (#9541)
Signed-off-by: Andreas Egli <github@kharan.ch>
2026-04-24 18:50:03 +02:00
Ettore Di Giacinto
151ad271f2 feat(rocm): bump to 7.x (#9323)
feat(rocm): bump to 7.2.1

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
2026-04-12 08:51:30 +02:00
Ettore Di Giacinto
271cc79709 chore(backends): do not bundle cuda target directory (#7982)
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
2026-01-12 07:51:09 +01:00
Copilot
06323df457 Optimize GPU library copying to preserve symlinks and avoid duplicates (#7931)
* Initial plan

* Optimize library copying to preserve symlinks and avoid duplicates

Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>

* Address code review feedback: extract get_inode helper, use file type detection for sorting

Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>

* Simplify implementation by removing inode tracking

Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>

* Add clarifying comment about basename deduplication

Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-01-08 22:26:48 +01:00
Copilot
fd53978a7b feat: package GPU libraries inside backend containers for unified base image (#7891)
* Initial plan

* Add GPU library packaging for isolated backend environments

- Create scripts/build/package-gpu-libs.sh for packaging CUDA, ROCm, SYCL, and Vulkan libraries
- Update llama-cpp, whisper, stablediffusion-ggml package.sh to include GPU libraries
- Update Dockerfile.python to package GPU libraries into Python backends
- Update libbackend.sh to set LD_LIBRARY_PATH for GPU library loading

Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>

* Address code review feedback: fix variable consistency and quoting

Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>

* Fix code review issues: improve glob handling and remove redundant variable

Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>

* Simplify main Dockerfile and workflow to use unified base image

- Remove GPU-specific driver installation from Dockerfile (CUDA, ROCm, Vulkan, Intel)
- Simplify image.yml workflow to build single unified base image for linux/amd64 and linux/arm64
- GPU libraries are now packaged in individual backend containers

Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
Co-authored-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
2026-01-07 15:48:51 +01:00