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Use flashinfer-python location
Signed-off-by: mgoin <michael@neuralmagic.com>
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@ -50,8 +50,8 @@ version=$(unzip -p "$wheel" '**/METADATA' | grep '^Version: ' | cut -d' ' -f2)
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wheel_name=$(basename "$wheel")
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echo "FlashInfer version: $version"
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# Upload the wheel to S3 under flashinfer directory
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aws s3 cp "$wheel" "s3://vllm-wheels/flashinfer/"
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# Upload the wheel to S3 under flashinfer-python directory
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aws s3 cp "$wheel" "s3://vllm-wheels/flashinfer-python/"
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echo "✅ FlashInfer wheel built and uploaded successfully for CUDA ${CUDA_VERSION}"
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echo "📦 Wheel: $wheel_name (version $version)"
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