Add flashinfer-build.sh and register precompiled cu128 wheel in Dockerfile (#25782)
Signed-off-by: mgoin <mgoin64@gmail.com>
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@@ -391,18 +391,28 @@ RUN --mount=type=cache,target=/root/.cache/uv bash - <<'BASH'
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git clone --depth 1 --recursive --shallow-submodules \
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--branch ${FLASHINFER_GIT_REF} \
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${FLASHINFER_GIT_REPO} flashinfer
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# Exclude CUDA arches for older versions (11.x and 12.0-12.7)
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# TODO: Update this to allow setting TORCH_CUDA_ARCH_LIST as a build arg.
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if [[ "${CUDA_VERSION}" == 11.* ]]; then
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FI_TORCH_CUDA_ARCH_LIST="7.5 8.0 8.9"
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elif [[ "${CUDA_VERSION}" == 12.[0-7]* ]]; then
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FI_TORCH_CUDA_ARCH_LIST="7.5 8.0 8.9 9.0a"
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else
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# CUDA 12.8+ supports 10.0a and 12.0
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FI_TORCH_CUDA_ARCH_LIST="7.5 8.0 8.9 9.0a 10.0a 12.0"
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fi
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pushd flashinfer
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if [ "${FLASHINFER_AOT_COMPILE}" = "true" ]; then
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# Exclude CUDA arches for older versions (11.x and 12.0-12.7)
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# TODO: Update this to allow setting TORCH_CUDA_ARCH_LIST as a build arg.
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if [[ "${CUDA_VERSION}" == 11.* ]]; then
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FI_TORCH_CUDA_ARCH_LIST="7.5 8.0 8.9"
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elif [[ "${CUDA_VERSION}" == 12.[0-7]* ]]; then
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FI_TORCH_CUDA_ARCH_LIST="7.5 8.0 8.9 9.0a"
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else
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# CUDA 12.8+ supports 10.0a and 12.0
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FI_TORCH_CUDA_ARCH_LIST="7.5 8.0 8.9 9.0a 10.0a 12.0"
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if [[ "${CUDA_VERSION}" == 12.8.* ]] && [ "$TARGETPLATFORM" = "linux/amd64" ]; then
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# NOTE: To make new precompiled wheels, see tools/flashinfer-build.sh
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echo "🏗️ Installing FlashInfer from pre-compiled wheel"
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uv pip install --system https://wheels.vllm.ai/flashinfer-python/flashinfer_python-0.3.1-cp39-abi3-manylinux1_x86_64.whl \
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--extra-index-url ${PYTORCH_CUDA_INDEX_BASE_URL}/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.')
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if [ "${FLASHINFER_AOT_COMPILE}" = "true" ]; then
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# Download pre-compiled cubins
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TORCH_CUDA_ARCH_LIST="${FI_TORCH_CUDA_ARCH_LIST}" \
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python3 -m flashinfer --download-cubin || echo "WARNING: Failed to download flashinfer cubins."
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fi
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elif [ "${FLASHINFER_AOT_COMPILE}" = "true" ]; then
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echo "🏗️ Installing FlashInfer with AOT compilation for arches: ${FI_TORCH_CUDA_ARCH_LIST}"
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export FLASHINFER_CUDA_ARCH_LIST="${FI_TORCH_CUDA_ARCH_LIST}"
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# HACK: We need these to run flashinfer.aot before installing flashinfer, get from the package in the future
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