[BUILD] FIX CUDA 13 #95
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waiting: Dao-AILab#1904 (comment) |
johnnynunez
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@ProExpertProg ready to merge |
Signed-off-by: johnnynunez <[email protected]>
Signed-off-by: johnnynunez <[email protected]>
Signed-off-by: johnnynunez <[email protected]>
Signed-off-by: johnnynunez <[email protected]>
Signed-off-by: johnnynunez <[email protected]>
ProExpertProg
approved these changes
Sep 24, 2025
ProExpertProg
approved these changes
Sep 25, 2025
Collaborator
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If anyone has time can they test this with torch 2.8? if not I will test it tomorrow before landing 👍 |
Author
it is here running now: vllm-project/vllm#25695 |
Collaborator
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Running a longer build here: https://buildkite.com/vllm/ci/builds/33143#0199a333-a3a5-4a3b-a2b9-4682b3d60b1b |
Author
seems was stopped for external reason |
Collaborator
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Went ahead and built it locally; looks good 👍 |
LucasWilkinson
approved these changes
Oct 2, 2025
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The errors in flash_api_sparse.cpp and hopper/flash_api.cpp are C++11 narrowing warnings (treated as errors in strict builds) when initializing at::cuda::CUDAGuard with a non-constant char cast to c10::DeviceIndex (signed char).
Previously, integer division caused num_consumer_warpgroups_per_cluster to be 0 when params.num_consumers (e.g., 32) was less than NumThreadsPerWarpGroup (128), leading to a compiler failure during barrier initialization. Changed to round-up division to ensure a minimum value of 1.
Add Thor support