- Updated the vLLM wheel commit hash in Dockerfile.ci to a60985b07eaf0fefa4c353ad2309b745707591ed. - Modified the mock shared memory handle name in test_basic_connectors.py for clarity. - Increased GPU memory utilization to 0.9 and adjusted max_num_batched_tokens to 4096 in qwen2_5_omni_ci.yaml to enable testing on H800. - Refactored GPU model runner classes to remove deprecated activate_lora parameter and ensure compatibility with num_active_loras. - Enhanced request handling in the OmniGPUModelRunner class to improve streaming request updates. Signed-off-by: tzhouam <tzhouam@connect.ust.hk>
31 lines
1.2 KiB
Docker
31 lines
1.2 KiB
Docker
ARG VLLM_BASE_IMAGE=vllm/vllm-openai
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ARG VLLM_BASE_TAG=v0.16.0
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FROM ${VLLM_BASE_IMAGE}:${VLLM_BASE_TAG}
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ARG APP_DIR=/workspace/vllm-omni
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WORKDIR ${APP_DIR}
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COPY . .
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# Install system dependencies
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RUN apt-get update && \
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apt-get install -y ffmpeg git sox libsox-fmt-all jq && \
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apt-get clean && \
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rm -rf /var/lib/apt/lists/*
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# Install vLLM wheel for the specific commit
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# URL format: https://wheels.vllm.ai/<commit_hash>/
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# Current vLLM wheel commit: a60985b07eaf0fefa4c353ad2309b745707591ed
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# Note: --prerelease=allow is required because nightly/commit wheels use
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# pre-release version numbers (e.g. 2.10.0.dev...) which uv ignores by default,
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# causing it to fall back to the older stable release from PyPI.
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RUN uv pip install --system --upgrade --force-reinstall --prerelease=allow vllm --extra-index-url https://wheels.vllm.ai/a60985b07eaf0fefa4c353ad2309b745707591ed
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RUN uv pip uninstall --system nvidia-cublas-cu12
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# Install vllm-omni into the same uv-managed Python environment used by the base image.
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# Use bash -c so that $(python3 -c ...) is expanded inside the container.
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RUN uv pip install --system --no-cache-dir ".[dev]"
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RUN ln -sf /usr/bin/python3 /usr/bin/python
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ENTRYPOINT []
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