drewthomasson--ebook2audiobook
wehub-resource-sync
98 行
3.3 KiB
YAML
98 行
3.3 KiB
YAML
# podman-compose.yml — universal across cpu / cuda / rocm / xpu (+ jetson),
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# on both amd64 and arm64. Pick the accelerator with --profile.
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#
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# podman-compose --profile cpu up
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# DEVICE_TAG=cu130 podman-compose --profile cuda up
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# DEVICE_TAG=jetson51 podman-compose --profile jetson up
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# DEVICE_TAG=rocm podman-compose --profile rocm up
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# DEVICE_TAG=xpu podman-compose --profile xpu up
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#
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# Architecture (amd64 vs arm64) is NOT a profile. It is decided by the host you
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# run on plus the matching DEVICE_TAG image — the device entries below are
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# arch-agnostic at the compose layer.
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#
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# Always confirm a profile expands correctly before running it:
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# DEVICE_TAG=rocm podman-compose --profile rocm config
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x-common: &common
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image: localhost/athomasson2/ebook2audiobook:${DEVICE_TAG:-cpu}
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build:
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context: .
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dockerfile: Dockerfile
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args:
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APP_VERSION: ${APP_VERSION:-26.7.9}
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DEVICE_TAG: ${DEVICE_TAG:-cpu}
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# PYTHON_VERSION and DOCKER_DEVICE_STR are the device-critical args: without them
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# the Dockerfile falls back to its cu130 / python3.12 defaults. Build via
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# ebook2audiobook.command so these are exported into the environment.
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PYTHON_VERSION: ${PYTHON_VERSION:-3.12}
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DOCKER_DEVICE_STR: ${DOCKER_DEVICE_STR:-}
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DOCKER_PROGRAMS_STR: ${DOCKER_PROGRAMS_STR:-curl ffmpeg mediainfo nodejs npm espeak-ng sox tesseract-ocr}
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CALIBRE_INSTALLER_URL: ${CALIBRE_INSTALLER_URL:-https://download.calibre-ebook.com/linux-installer.sh}
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ISO3_LANG: ${ISO3_LANG:-eng}
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INSTALL_RUST: ${INSTALL_RUST:-1}
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BUILDAH_FORMAT: docker
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working_dir: /app
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entrypoint: ["bash", "ebook2audiobook.command", "--script_mode", "full_docker"]
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tty: true
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stdin_open: true
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ports:
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- "7860:7860"
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security_opt:
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- label=disable
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volumes:
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- ./ebooks:/app/ebooks:rw
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- ./audiobooks:/app/audiobooks:rw
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- ./models:/app/models:rw
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- ./voices:/app/voices:rw
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- ./tmp:/app/tmp:rw
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restart: unless-stopped
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services:
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# --- CPU: no device wiring at all -----------------------------------------
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ebook2audiobook-cpu:
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<<: *common
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profiles: [cpu]
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# --- NVIDIA discrete (amd64 dGPU, or arm64 SBSA) via CDI -------------------
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# Requires a generated CDI spec on the host:
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# sudo nvidia-ctk cdi generate --output=/etc/cdi/nvidia.yaml
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ebook2audiobook-cuda:
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<<: *common
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profiles: [cuda]
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devices:
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- nvidia.com/gpu=all
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# --- NVIDIA Jetson / Tegra (arm64 L4T) via CSV runtime --------------------
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# Requires mode = "csv" in /etc/nvidia-container-runtime/config.toml and the
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# nvidia runtime registered. On recent JetPack with a generated CDI spec you
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# can use --profile cuda instead of this profile.
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ebook2audiobook-jetson:
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<<: *common
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profiles: [jetson]
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runtime: nvidia
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environment:
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NVIDIA_VISIBLE_DEVICES: all
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NVIDIA_DRIVER_CAPABILITIES: all
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group_add:
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- video
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# --- AMD ROCm -------------------------------------------------------------
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ebook2audiobook-rocm:
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<<: *common
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profiles: [rocm]
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devices:
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- /dev/kfd
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- /dev/dri
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group_add:
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- video
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- render
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# --- Intel XPU (oneAPI / IPEX) --------------------------------------------
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ebook2audiobook-xpu:
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<<: *common
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profiles: [xpu]
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devices:
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- /dev/dri
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group_add:
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- render |