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[BugFix] Fix full-cuda-graph illegal memory access in FA3 #20057
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[BugFix] Fix full-cuda-graph illegal memory access in FA3 #20057
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Signed-off-by: Lucas Wilkinson <lwilkins@redhat.com>
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Summary of Changes
Hello @LucasWilkinson, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
This pull request implements a critical bug fix for a sporadic illegal memory access encountered in FlashAttention 3 when operating with full CUDA graphs. The solution involves a targeted adjustment to the attention backend's initialization logic, specifically by disabling AOT scheduling when full CUDA graph mode is active, thereby resolving the underlying memory issue.
Highlights
- Bug Fix: Illegal Memory Access: This pull request addresses and fixes a sporadic illegal memory access issue that occurred when using FlashAttention 3 (FA3) with full CUDA graphs enabled.
- Configuration Logic Adjustment: The previous validation logic that raised a
ValueError
if full CUDA graph mode was enabled without AOT (Ahead-of-Time) scheduling has been removed. Instead, when full CUDA graph is active, AOT scheduling is now explicitly disabled (self.aot_schedule = False
) to prevent the reported memory access error.
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Code Review
This pull request addresses a sporadic illegal memory access by modifying the logic for full_cuda_graph
and aot_schedule
. The change correctly disables AOT scheduling when full CUDA graph is enabled, which resolves the immediate issue. However, this new behavior directly contradicts a previous requirement stated in the removed code, indicating a need to review and update any related documentation or code that might still reflect the old, inconsistent requirement.
if self.use_full_cuda_graph: | ||
# NOTE(lucas): AOT scheduling not supported in full cuda graph mode | ||
# yet. This is because the scheduler and kernel need to always use | ||
# the same num_splits (which acts as an upper bound with the | ||
# dynamic split scheduler) which is currently heuristically decided | ||
# by the kernel launching code. | ||
self.aot_schedule = False |
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The previous logic (lines 161-163 removed) stated that "Full CUDA graph mode requires AOT scheduling". However, the new code (lines 161-167 added) explicitly sets self.aot_schedule = False
when self.use_full_cuda_graph
is enabled. This is a direct contradiction of the previous requirement.
While the new comment clarifies that "AOT scheduling not supported in full cuda graph mode yet", it's important to ensure that any other parts of the codebase or documentation that refer to full_cuda_graph
requiring aot_schedule
are updated to reflect this change. The previous ValueError
message was misleading given the current state of support.
Signed-off-by: Lucas Wilkinson <lwilkins@redhat.com>
Thanks so much! |
…ct#20057) Signed-off-by: Lucas Wilkinson <lwilkins@redhat.com>
…ct#20057) Signed-off-by: Lucas Wilkinson <lwilkins@redhat.com>
…ct#20057) Signed-off-by: Lucas Wilkinson <lwilkins@redhat.com> Signed-off-by: Will Eaton <weaton@redhat.com>
…ct#20057) Signed-off-by: Lucas Wilkinson <lwilkins@redhat.com>
…ct#20057) Signed-off-by: Lucas Wilkinson <lwilkins@redhat.com>
…ct#20057) Signed-off-by: Lucas Wilkinson <lwilkins@redhat.com> Signed-off-by: avigny <47987522+avigny@users.noreply.github.com>
…ct#20057) Signed-off-by: Lucas Wilkinson <lwilkins@redhat.com>
Essential Elements of an Effective PR Description Checklist
supported_models.md
andexamples
for a new model.Purpose
Fix a sporadic illegal memory access discovered by @WoosukKwon
Test Plan
lm-eval + @WoosukKwon repro attempt
Test Result
after 1.5h @WoosukKwon has yet to repo
(Optional) Documentation Update