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[None][fix] Fix possible arithmetic overflow in FMHAv2 launcher#11263

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tongyuantongyu wants to merge 1 commit intoNVIDIA:mainfrom
tongyuantongyu:ytong/fmha_v2_overflow
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[None][fix] Fix possible arithmetic overflow in FMHAv2 launcher#11263
tongyuantongyu wants to merge 1 commit intoNVIDIA:mainfrom
tongyuantongyu:ytong/fmha_v2_overflow

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@tongyuantongyu tongyuantongyu commented Feb 4, 2026

Summary by CodeRabbit

  • Bug Fixes
    • Improved memory calculation handling for large configurations to prevent potential overflow issues and ensure reliable performance with larger parameter values.

Description

Fix arithmetic overflow. Observed error message from ubsan:

TensorRT-LLM/cpp/tensorrt_llm/kernels/contextFusedMultiHeadAttention/fmha_v2_cu/fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_tma_ws_sm90.cu:427:86: runtime error: signed integer overflow: 718520320 * 4 cannot be represented in type 'int'

Test Coverage

Covered by existed tests.

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Signed-off-by: Yuan Tong <13075180+tongyuantongyu@users.noreply.github.com>
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/bot run

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coderabbitai bot commented Feb 4, 2026

📝 Walkthrough

Walkthrough

Two locations in the kernel setup code now explicitly cast intermediate values to size_t during size calculations, converting implicit type conversions to explicit static_cast<size_t>() operations on block_size.y and params.b.

Changes

Cohort / File(s) Summary
Type casting for size calculations
cpp/kernels/fmha_v2/setup.py
Added explicit static_cast<size_t>() casts to block_size.y and params.b in size_in_bytes calculations to ensure proper unsigned arithmetic and prevent potential overflow issues.

Estimated code review effort

🎯 1 (Trivial) | ⏱️ ~2 minutes

🚥 Pre-merge checks | ✅ 3
✅ Passed checks (3 passed)
Check name Status Explanation
Title check ✅ Passed The title clearly and specifically summarizes the main change: fixing an arithmetic overflow issue in the FMHAv2 launcher, which matches the core purpose of the PR.
Description check ✅ Passed The PR description includes the problem statement with a concrete UBSAN error message and states test coverage is provided by existing tests, meeting the template requirements for a Description and Test Coverage section.
Docstring Coverage ✅ Passed No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.

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Actionable comments posted: 1

Caution

Some comments are outside the diff and can’t be posted inline due to platform limitations.

⚠️ Outside diff range comments (1)
cpp/kernels/fmha_v2/setup.py (1)

1-1: ⚠️ Potential issue | 🟡 Minor

Update SPDX year to reflect the 2026 modification.

This file was modified in 2026, so the header should include 2026.

📝 Proposed update
-# SPDX-FileCopyrightText: Copyright (c) 2020-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2020-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.

As per coding guidelines: "All TensorRT-LLM source files (.cpp, .h, .cu, .py, and other source files) should contain an NVIDIA copyright header with the year of latest meaningful modification".

🤖 Fix all issues with AI agents
In `@cpp/kernels/fmha_v2/setup.py`:
- Around line 1731-1732: The multiplication to compute size_in_bytes can
overflow 32-bit intermediate math; change the calculation in the block that sets
size_in_bytes so all operands are promoted to a wider type before any
multiplication (e.g., cast block_size.y or params.s/params.d to size_t or
uint64_t at the start of the expression) so the product of block_size.y *
params.s * params.d * 2 * bytes_per_elt is done in 64-bit and then assigned to
size_in_bytes; update the comparison against launch_params.device_l2_cache_size
by also converting launch_params.device_l2_cache_size to the same 64-bit type
for a safe comparison.

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PR_Github #34710 [ run ] triggered by Bot. Commit: f7f4aa2

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PR_Github #34710 [ run ] completed with state SUCCESS. Commit: f7f4aa2
/LLM/main/L0_MergeRequest_PR pipeline #26784 completed with status: 'FAILURE'

⚠️ Action Required:

  • Please check the failed tests and fix your PR
  • If you cannot view the failures, ask the CI triggerer to share details
  • Once fixed, request an NVIDIA team member to trigger CI again

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/bot run

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PR_Github #34933 [ run ] triggered by Bot. Commit: f7f4aa2

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PR_Github #34933 [ run ] completed with state SUCCESS. Commit: f7f4aa2
/LLM/main/L0_MergeRequest_PR pipeline #26950 completed with status: 'SUCCESS'

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