95 lines
3.1 KiB
YAML
95 lines
3.1 KiB
YAML
# Copyright (C) 2024 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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services:
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server:
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image: ${REGISTRY:-opea}/edgecraftrag-server:${TAG:-latest}
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container_name: edgecraftrag-server
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environment:
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no_proxy: ${no_proxy}
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http_proxy: ${http_proxy}
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https_proxy: ${https_proxy}
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HF_ENDPOINT: ${HF_ENDPOINT}
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vLLM_ENDPOINT: ${vLLM_ENDPOINT}
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ENABLE_BENCHMARK: ${ENABLE_BENCHMARK:-false}
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volumes:
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- ${MODEL_PATH:-${PWD}}:/home/user/models
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- ${DOC_PATH:-${PWD}}:/home/user/docs
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- ${UI_TMPFILE_PATH:-${PWD}}:/home/user/ui_cache
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- ${HF_CACHE:-${HOME}/.cache}:/home/user/.cache
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- ${PROMPT_PATH:-${PWD}}:/templates/custom
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ports:
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- ${PIPELINE_SERVICE_PORT:-16010}:${PIPELINE_SERVICE_PORT:-16010}
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devices:
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- /dev/dri:/dev/dri
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group_add:
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- ${VIDEOGROUPID:-44}
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- ${RENDERGROUPID:-109}
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ecrag:
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image: ${REGISTRY:-opea}/edgecraftrag:${TAG:-latest}
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container_name: edgecraftrag
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environment:
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no_proxy: ${no_proxy}
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http_proxy: ${http_proxy}
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https_proxy: ${https_proxy}
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MEGA_SERVICE_PORT: ${MEGA_SERVICE_PORT:-16011}
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MEGA_SERVICE_HOST_IP: ${MEGA_SERVICE_HOST_IP:-${HOST_IP}}
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PIPELINE_SERVICE_PORT: ${PIPELINE_SERVICE_PORT:-16010}
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PIPELINE_SERVICE_HOST_IP: ${PIPELINE_SERVICE_HOST_IP:-${HOST_IP}}
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ports:
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- ${MEGA_SERVICE_PORT:-16011}:${MEGA_SERVICE_PORT:-16011}
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depends_on:
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- server
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ui:
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image: ${REGISTRY:-opea}/edgecraftrag-ui:${TAG:-latest}
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container_name: edgecraftrag-ui
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environment:
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no_proxy: ${no_proxy}
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http_proxy: ${http_proxy}
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https_proxy: ${https_proxy}
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MEGA_SERVICE_PORT: ${MEGA_SERVICE_PORT:-16011}
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MEGA_SERVICE_HOST_IP: ${MEGA_SERVICE_HOST_IP:-${HOST_IP}}
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PIPELINE_SERVICE_PORT: ${PIPELINE_SERVICE_PORT:-16010}
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PIPELINE_SERVICE_HOST_IP: ${PIPELINE_SERVICE_HOST_IP:-${HOST_IP}}
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UI_SERVICE_PORT: ${UI_SERVICE_PORT:-8082}
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UI_SERVICE_HOST_IP: ${UI_SERVICE_HOST_IP:-0.0.0.0}
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volumes:
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- ${UI_TMPFILE_PATH:-${PWD}}:/home/user/ui_cache
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ports:
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- ${UI_SERVICE_PORT:-8082}:${UI_SERVICE_PORT:-8082}
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restart: always
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depends_on:
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- server
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- ecrag
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# vllm-openvino-server:
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# container_name: vllm-openvino-server
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# image: opea/vllm-arc:latest
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# ports:
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# - ${VLLM_SERVICE_PORT:-8008}:80
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# environment:
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# HTTPS_PROXY: ${https_proxy}
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# HTTP_PROXY: ${https_proxy}
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# VLLM_OPENVINO_DEVICE: GPU
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# HF_ENDPOINT: ${HF_ENDPOINT}
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# HF_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
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# volumes:
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# - /dev/dri/by-path:/dev/dri/by-path
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# - $HOME/.cache/huggingface:/root/.cache/huggingface
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# devices:
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# - /dev/dri
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# group_add:
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# - ${VIDEOGROUPID:-44}
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# - ${RENDERGROUPID:-109}
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# entrypoint: /bin/bash -c "\
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# cd / && \
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# export VLLM_CPU_KVCACHE_SPACE=50 && \
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# export VLLM_OPENVINO_ENABLE_QUANTIZED_WEIGHTS=ON && \
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# python3 -m vllm.entrypoints.openai.api_server \
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# --model '${LLM_MODEL}' \
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# --max_model_len=1024 \
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# --host 0.0.0.0 \
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# --port 80"
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networks:
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default:
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driver: bridge
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