mxfp4 dockerfile optimizations
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@@ -99,7 +99,7 @@ ARG FLASHINFER_SHA=f349e52496a72a00d8c4ac02c7a1e38523ff7194
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ARG CUTLASS_SHA=11af7f02ab52c9130e422eeb4b44042fbd60c083
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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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RUN --mount=type=cache,id=uv-cache,target=/root/.cache/uv \
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uv pip install nvidia-nvshmem-cu13
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uv pip install nvidia-nvshmem-cu13 "apache-tvm-ffi<0.2"
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# Clone FlashInfer (cached for faster rebuilds)
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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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RUN --mount=type=cache,id=git-flashinfer,target=/git-cache/flashinfer \
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@@ -144,18 +144,18 @@ WORKDIR /workspace/flashinfer
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RUN --mount=type=cache,id=uv-cache,target=/root/.cache/uv \
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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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--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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sed -i -e 's/license = "Apache-2.0"/license = { text = "Apache-2.0" }/' -e '/license-files/d' pyproject.toml && \
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uv pip install --no-build-isolation . -v
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uv build --no-build-isolation --wheel . --out-dir=/workspace/wheels -v
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# flashinfer-cubin
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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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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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--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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cd flashinfer-cubin && uv build --no-build-isolation --wheel . --out-dir=/workspace/wheels -v
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# flashinfer-jit-cache
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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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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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--mount=type=cache,id=ccache,target=/root/.ccache \
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cd flashinfer-jit-cache && \
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cd flashinfer-jit-cache && \
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uv pip install --no-build-isolation . -v
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uv build --no-build-isolation --wheel . --out-dir=/workspace/wheels -v
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# --- VLLM SOURCE CACHE BUSTER ---
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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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# Change THIS argument to force a fresh git clone and rebuild of vLLM
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@@ -218,7 +218,7 @@ RUN --mount=type=cache,id=uv-cache,target=/root/.cache/uv \
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# across totally separate `docker build` invocations.
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# across totally separate `docker build` invocations.
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RUN --mount=type=cache,id=ccache,target=/root/.ccache \
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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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--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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uv build --no-build-isolation --wheel . --out-dir=/workspace/wheels -v
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# =========================================================
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# =========================================================
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# STAGE 4: Runner (Transfers only necessary artifacts)
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# STAGE 4: Runner (Transfers only necessary artifacts)
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@@ -256,8 +256,9 @@ RUN mkdir -p tiktoken_encodings && \
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# Copy artifacts from Builder Stage
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# Copy artifacts from Builder Stage
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# We copy the python packages and executables
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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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# 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 /workspace/wheels /workspace/wheels
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COPY --from=builder /usr/local/bin /usr/local/bin
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RUN --mount=type=cache,id=uv-cache,target=/root/.cache/uv \
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uv pip install /workspace/wheels/*.whl
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# Setup Env for Runtime
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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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ENV TORCH_CUDA_ARCH_LIST="12.0;12.1"
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@@ -272,4 +273,4 @@ RUN chmod +x $VLLM_BASE_DIR/run-cluster-node.sh
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# Final extra deps
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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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RUN --mount=type=cache,id=uv-cache,target=/root/.cache/uv \
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uv pip install ray[default]
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uv pip install ray[default] fastsafetensors
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