mirror of
https://github.com/mudler/LocalAI.git
synced 2026-07-03 21:07:33 -04:00
2aedd2cf44
qwen3-tts-cpp, omnivoice-cpp, acestep-cpp and vibevoice-cpp shipped rocm-* variants that silently ran on CPU ([Load] backend: CPU). Two coupled defects: - The Makefiles passed -DGGML_HIPBLAS=ON, but the vendored ggml only understands -DGGML_HIP=ON (GGML_HIPBLAS was removed upstream), so the ggml-hip backend target was never created and no GPU code was built. - The CMake foreach that links the ggml GPU backends into the module listed blas/cuda/metal/vulkan but not hip, so even a built ggml-hip would not have been linked and its static backend registration would never run. CUDA users were unaffected because cublas passes the correct GGML_CUDA=ON and the foreach already links cuda. Mirror the proven llama-cpp hipblas block (ROCm clang CC/CXX + AMDGPU_TARGETS) and add hip to each foreach. Upstream picks the best device via ggml_backend_init_best(), so no runtime flag is needed once HIP is compiled and linked. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:claude-opus-4-8[1m] [Claude Code]