docker-build

# Docker Build & Push Build an LMDeploy Docker image and push it to the inner registry. ## Prerequisites Before starting, verify all three environment variables are set: ```bash echo $LMDEPLOY_REGISTRY # inner registry server address echo $REGISTRY_USER # registry login username test -n "$REGISTRY_PASSWORD" && echo "<set>" || echo "<missing>" # registry login password ``` If any are missing, stop and tell the user to set them before proceeding. ## 1. Select CUDA version Ask the user which public CUDA image variant to build: - `cu13.0` (default) — builds from the canonical `cu130` Docker stages - `cu12.8` — builds from the canonical `cu128` Docker stages Set the public tag suffix and corresponding Docker build target: ```bash CUDA_TAG_SUFFIX=${CUDA_TAG_SUFFIX:-cu13.0} case "${CUDA_TAG_SUFFIX}" in cu13.0) CUDA_BUILD_TARGET=cu130 ;; cu12.8) CUDA_BUILD_TARGET=cu128 ;; *) echo "Unsupported CUDA image variant: ${CUDA_TAG_SUFFIX}" >&2; exit 1 ;; esac ``` Do not pass `cu13.0` or `cu12.8` directly to `docker/Dockerfile`. Its canonical stage names are `cu130` and `cu128`. ## 2. Determine image tag ```bash BRANCH=$(git branch --show-current | sed 's/[^a-zA-Z0-9._-]/-/g') SHA=$(git rev-parse --short=7 HEAD) TAG="${BRANCH}-${SHA}-${CUDA_TAG_SUFFIX}" IMAGE="${LMDEPLOY_REGISTRY}/ailab-puyu-puyu_gpu/lmdeploy-dev:${TAG}" ``` Print the computed image name so the user can confirm. ## 3. Build Ask the user which build mode: - **patch** (default) — uses `docker/Dockerfile_patch`, fast overlay on existing image - **full** — uses `docker/Dockerfile`, full multi-stage build from scratch ### Patch build (default) ```bash BASE_IMAGE=${BASE_IMAGE:-openmmlab/lmdeploy:latest-${CUDA_TAG_SUFFIX}} docker build -f docker/Dockerfile_patch \ --build-arg BASE_IMAGE="${BASE_IMAGE}" \ --build-arg BACKEND=pytorch \ --build-arg http_proxy=${http_proxy:-} \ --build-arg https_proxy=${https_proxy:-} \ --build-arg no_proxy=${no_proxy:-} \ -t "${IMAGE}" \ . ``` User can override: - `BASE_IMAGE` — defaults to `openmmlab/lmdeploy:latest-${CUDA_TAG_SUFFIX}` - `BACKEND` — default `pytorch`; set to `turbomind` to include TurboMind C++ extension ### Full build ```bash docker build -f docker/Dockerfile \ --build-arg CUDA_VERSION="${CUDA_BUILD_TARGET}" \ --build-arg http_proxy=${http_proxy:-} \ --build-arg https_proxy=${https_proxy:-} \ --build-arg no_proxy=${no_proxy:-} \ -t "${IMAGE}" \ . ``` `CUDA_BUILD_TARGET` must be the canonical target mapped from the selected public CUDA variant. ### Verify ```bash docker images "${IMAGE}" ``` ## 4. Push Skip this step if the user only wants a local build. ### Login ```bash echo "${REGISTRY_PASSWORD}" | docker login "${LMDEPLOY_REGISTRY}" -u "${REGISTRY_USER}" --password-stdin ``` ### Push ```bash docker push "${IMAGE}" ``` Confirm success via exit code.