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A high-throughput and memory-efficient inference and serving engine for LLMs

Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git

Synced Nov 15, 02:15 UTC

[CI Bugfix] Specify same TORCH_CUDA_ARCH_LIST for flashinfer aot and install (#20772)

Signed-off-by: mgoin <mgoin64@gmail.com>

Michael Goin committed Jul 11, 2025 at 10:16 UTC cf75cd2098f6a3f0bc38d92d1669810c084dab9b
1 file changed +2 -1
docker/Dockerfile
+2 -1
@@ -408,7 +408,8 @@ RUN --mount=type=cache,target=/root/.cache/uv bash - <<'BASH'
408
409 # Needed to build AOT kernels
410 pushd flashinfer
411 - python3 -m flashinfer.aot
411 + TORCH_CUDA_ARCH_LIST="${FI_TORCH_CUDA_ARCH_LIST}" \
412 + python3 -m flashinfer.aot
413 TORCH_CUDA_ARCH_LIST="${FI_TORCH_CUDA_ARCH_LIST}" \
414 uv pip install --system --no-build-isolation .
415 popd