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Two bugs caused GPU inference to silently fall back to CPU inside the Odysseus Docker container even when the GPU was correctly passed through. ## entrypoint.sh — CUDA_HOME detection only covered CUDA 13.x wheels The nvcc glob only searched vidia/cu13, which matches the vidia-nvcc-cu13 pip wheel layout. CUDA 12.x wheels install nvcc to vidia/cuda_nvcc/bin/nvcc (nvidia-cuda-nvcc-cu12) or vidia/cu12 (nvidia-nvcc-cu12) — completely different paths. The glob found nothing, so CUDA_HOME was never set. Worse, VLLM_USE_FLASHINFER_SAMPLER=0 was inside the same if-block, so it was never set either. vLLM then tried to JIT-compile the FlashInfer sampler at startup, failed with 'Could not find nvcc', and crashed — even though the GPU was fully visible to the container. Fix: expand the search to also check nvidia/cu12 and nvidia/cuda_nvcc. Move VLLM_USE_FLASHINFER_SAMPLER=0 to an unconditional export after the loop (it is sampler-only, no impact on the attention path, and the correct setting for any container where CUDA headers may be incomplete). ## cookbook_routes.py — llama.cpp Linux source build silently fell back to CPU The cmake invocation was: cmake -B build -DGGML_CUDA=ON 2>/dev/null || cmake -B build 2>/dev/null suppressed all configure errors. When nvcc is absent (the slim base image has no CUDA toolkit — intentional), cmake fails silently, then the || fallback re-runs without -DGGML_CUDA=ON. A CPU-only binary is produced with no warning. Additionally, a stale CMakeCache.txt from the failed CUDA attempt was reused (no rm -rf build), poisoning the next configure run. The macOS branch already did rm -rf build for exactly this reason; the Linux branch did not. Fix: before cmake, detect pip-installed nvcc across the same three path patterns as entrypoint.sh and expose it via CUDA_HOME/PATH. If nvcc is found, run a clean CUDA build with full error visibility. If not, fall back to a CPU build with an explicit warning telling the user how to get a GPU build (install vLLM via Cookbook -> Dependencies, which brings the CUDA wheels including nvcc, then re-launch). ## .env.example — document Windows COMPOSE_FILE separator Added a comment showing the semicolon separator required on Windows Docker Desktop alongside the existing colon-separator (Linux) example.
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3.7 KiB