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update to 0.4.0
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docker/Dockerfile

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@@ -371,7 +371,7 @@ RUN --mount=type=bind,from=build,src=/workspace/dist,target=/vllm-workspace/dist
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# Install FlashInfer from source
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ARG FLASHINFER_GIT_REPO="https://github.com/flashinfer-ai/flashinfer.git"
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# Keep this in sync with "flashinfer" extra in setup.py
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ARG FLASHINFER_GIT_REF="v0.4.0rc4"
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ARG FLASHINFER_GIT_REF="v0.4.0"
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# Flag to control whether to compile FlashInfer AOT kernels
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# Set to "true" to enable AOT compilation:
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# docker build --build-arg FLASHINFER_AOT_COMPILE=true ...

docker/Dockerfile.nightly_torch

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@@ -246,15 +246,15 @@ RUN pip install setuptools==75.6.0 packaging==23.2 ninja==1.11.1.3 build==1.2.2.
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# build flashinfer for torch nightly from source around 10 mins
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# release version: v0.4.0rc4
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# release version: v0.4.0
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# todo(elainewy): cache flashinfer build result for faster build
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ENV CCACHE_DIR=/root/.cache/ccache
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RUN --mount=type=cache,target=/root/.cache/ccache \
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--mount=type=cache,target=/root/.cache/uv \
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echo "git clone flashinfer..." \
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&& git clone --recursive https://github.com/flashinfer-ai/flashinfer.git \
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&& cd flashinfer \
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&& git checkout v0.4.0rc4 \
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&& git checkout v0.4.0 \
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&& git submodule update --init --recursive \
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&& echo "finish git clone flashinfer..." \
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&& rm -rf build \

setup.py

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@@ -715,7 +715,7 @@ def _read_requirements(filename: str) -> list[str]:
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], # Required for audio processing
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"video": [], # Kept for backwards compatibility
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# FlashInfer should be updated together with the Dockerfile
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"flashinfer": ["flashinfer-python==0.4.0rc4"],
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"flashinfer": ["flashinfer-python==0.4.0"],
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# Optional deps for AMD FP4 quantization support
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"petit-kernel": ["petit-kernel"],
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},

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