moved everything to uv
This commit is contained in:
Eugene Rakhmatulin
@@ -36,8 +36,8 @@ ENV PIP_BREAK_SYSTEM_PACKAGES=1
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# Set pip cache directory
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ENV PIP_CACHE_DIR=/root/.cache/pip
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ENV UV_CACHE_DIR=/root/.cache/uv
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ENV UV_SYSTEM_PYTHON=1
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ENV UV_BREAK_SYSTEM_PACKAGES=1
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#ENV UV_SYSTEM_PYTHON=1
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#ENV UV_BREAK_SYSTEM_PACKAGES=1
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ENV UV_LINK_MODE=copy
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# Set the base directory environment variable
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@@ -77,6 +77,11 @@ ENV TRITON_PTXAS_PATH=/usr/local/cuda/bin/ptxas
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# Change this argument to force a re-download of PyTorch/FlashInfer
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ARG CACHEBUST_DEPS=1
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# Initialize virtual environment
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ENV VIRTUAL_ENV=/workspace/python-venv
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RUN uv venv /workspace/python-venv
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ENV PATH="$VIRTUAL_ENV/bin:$PATH"
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# 3. Install Python Dependencies with Cache Mounts
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# Using --mount=type=cache ensures that even if this layer invalidates,
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# pip reuses previously downloaded wheels.
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@@ -86,7 +91,7 @@ RUN --mount=type=cache,id=uv-cache,target=/root/.cache/uv \
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# Install additional dependencies
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RUN --mount=type=cache,id=uv-cache,target=/root/.cache/uv \
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uv pip install xgrammar fastsafetensors triton
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uv pip install fastsafetensors
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ARG PRE_TRANSFORMERS=0
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RUN --mount=type=cache,id=uv-cache,target=/root/.cache/uv \
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@@ -94,9 +99,9 @@ RUN --mount=type=cache,id=uv-cache,target=/root/.cache/uv \
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uv pip install -U transformers --pre; \
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fi
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# =========================================================
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# STAGE 2: Flashinfer Builder
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# STAGE 2: Builder
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# =========================================================
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FROM base AS flashinfer-builder
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FROM base AS builder
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ENV FLASHINFER_CUDA_ARCH_LIST="12.1f"
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@@ -108,8 +113,8 @@ ARG CUTLASS_REPO=https://github.com/christopherowen/cutlass.git
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ARG FLASHINFER_SHA=f349e52496a72a00d8c4ac02c7a1e38523ff7194
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ARG CUTLASS_SHA=11af7f02ab52c9130e422eeb4b44042fbd60c083
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RUN --mount=type=cache,id=uv-cache,target=/root/.cache/uv \
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uv pip install "apache-tvm-ffi<0.2" nvidia-ml-py requests
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# RUN --mount=type=cache,id=uv-cache,target=/root/.cache/uv \
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# uv pip install "apache-tvm-ffi<0.2" nvidia-ml-py requests wheel
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# Clone FlashInfer (cached for faster rebuilds)
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RUN --mount=type=cache,id=git-flashinfer,target=/git-cache/flashinfer \
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@@ -154,23 +159,18 @@ WORKDIR /workspace/flashinfer
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RUN --mount=type=cache,id=uv-cache,target=/root/.cache/uv \
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--mount=type=cache,id=ccache,target=/root/.ccache \
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sed -i -e 's/license = "Apache-2.0"/license = { text = "Apache-2.0" }/' -e '/license-files/d' pyproject.toml && \
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uv build --no-build-isolation --wheel --out-dir=./wheels .
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uv pip install --no-build-isolation . -v
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# flashinfer-cubin
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RUN --mount=type=cache,id=uv-cache,target=/root/.cache/uv \
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--mount=type=cache,id=ccache,target=/root/.ccache \
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cd flashinfer-cubin && uv build --no-build-isolation --wheel --out-dir=../wheels .
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# RUN --mount=type=cache,id=uv-cache,target=/root/.cache/uv \
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# --mount=type=cache,id=ccache,target=/root/.ccache \
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# cd flashinfer-cubin && uv pip install --no-build-isolation . -v
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# flashinfer-jit-cache
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RUN --mount=type=cache,id=uv-cache,target=/root/.cache/uv \
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--mount=type=cache,id=ccache,target=/root/.ccache \
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cd flashinfer-jit-cache && \
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uv build --no-build-isolation --wheel --out-dir=../wheels .
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# =========================================================
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# STAGE 3: vLLM Builder (Builds vLLM from Source)
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# =========================================================
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FROM base AS builder
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# # flashinfer-jit-cache
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# RUN --mount=type=cache,id=uv-cache,target=/root/.cache/uv \
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# --mount=type=cache,id=ccache,target=/root/.ccache \
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# cd flashinfer-jit-cache && \
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# uv pip install --no-build-isolation . -v
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# --- VLLM SOURCE CACHE BUSTER ---
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# Change THIS argument to force a fresh git clone and rebuild of vLLM
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@@ -216,7 +216,6 @@ ARG PRE_TRANSFORMERS=0
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RUN --mount=type=cache,id=uv-cache,target=/root/.cache/uv \
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python3 use_existing_torch.py && \
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sed -i "/flashinfer/d" requirements/cuda.txt && \
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sed -i '/^triton\b/d' requirements/test.txt && \
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sed -i '/^fastsafetensors\b/d' requirements/test.txt && \
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if [ "$PRE_TRANSFORMERS" = "1" ]; then \
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sed -i '/^transformers\b/d' requirements/common.txt; \
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@@ -236,12 +235,6 @@ RUN --mount=type=cache,id=ccache,target=/root/.ccache \
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--mount=type=cache,id=uv-cache,target=/root/.cache/uv \
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uv pip install --no-build-isolation . -v
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# Install custom Flashinfer from flashinfer-builder
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COPY --from=flashinfer-builder /workspace/flashinfer/wheels /workspace/wheels
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RUN --mount=type=cache,id=uv-cache,target=/root/.cache/uv \
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uv pip install --no-deps /workspace/wheels/*.whl && \
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uv pip install apache-tvm-ffi nvidia-cudnn-frontend nvidia-cutlass-dsl nvidia-ml-py tabulate
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# =========================================================
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# STAGE 4: Runner (Transfers only necessary artifacts)
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# =========================================================
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@@ -254,8 +247,8 @@ ENV VLLM_BASE_DIR=/workspace/vllm
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# Set pip cache directory
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ENV PIP_CACHE_DIR=/root/.cache/pip
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ENV UV_CACHE_DIR=/root/.cache/uv
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ENV UV_SYSTEM_PYTHON=1
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ENV UV_BREAK_SYSTEM_PACKAGES=1
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#ENV UV_SYSTEM_PYTHON=1
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#ENV UV_BREAK_SYSTEM_PACKAGES=1
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ENV UV_LINK_MODE=copy
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# Install minimal runtime dependencies (NCCL, Python)
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@@ -266,7 +259,8 @@ RUN apt update && apt upgrade -y \
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libcudnn9-cuda-13 \
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libnccl-dev libnccl2 libibverbs1 libibverbs-dev rdma-core \
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libxcb1 \
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&& rm -rf /var/lib/apt/lists/*
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&& rm -rf /var/lib/apt/lists/* \
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&& pip install uv
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# Set final working directory
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WORKDIR $VLLM_BASE_DIR
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@@ -279,8 +273,11 @@ RUN mkdir -p tiktoken_encodings && \
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# Copy artifacts from Builder Stage
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# We copy the python packages and executables
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# No need to copy source code, as it's already in the site-packages
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COPY --from=builder /usr/local/lib/python3.12/dist-packages /usr/local/lib/python3.12/dist-packages
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COPY --from=builder /usr/local/bin /usr/local/bin
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COPY --from=builder /workspace/python-venv /workspace/python-venv
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# Activate virtual environment
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ENV VIRTUAL_ENV=/workspace/python-venv
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ENV PATH="$VIRTUAL_ENV/bin:$PATH"
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# Setup Env for Runtime
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ENV TORCH_CUDA_ARCH_LIST="12.0;12.1"
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@@ -296,3 +293,10 @@ RUN chmod +x $VLLM_BASE_DIR/run-cluster-node.sh
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# Final extra deps
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RUN --mount=type=cache,id=uv-cache,target=/root/.cache/uv \
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uv pip install ray[default]
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# Create entrypoint script to activate venv
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# RUN echo '#!/bin/bash\nsource /workspace/python-venv/bin/activate\nexec "$@"' > /entrypoint.sh && \
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# chmod +x /entrypoint.sh
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# ENTRYPOINT ["/entrypoint.sh"]
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# CMD ["bash"]
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