[Bug] Fix integer overflow in layernorm_kernels.cu pointer arithmetic#42863
[Bug] Fix integer overflow in layernorm_kernels.cu pointer arithmetic#42863dparikh79 wants to merge 1 commit into
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Companion to vllm-project#42861 for the layernorm kernels. The per-token pointer offsets in three kernels were computed in 32-bit arithmetic when the stride/hidden-size operand was `int`, overflowing once the product exceeded INT_MAX (about 2.15 billion). Reporter's failing case in vllm-project#42862: model `royokong/e5-v`, hidden_size 4096, seq_len=8129, batch_size=129. The flat token dimension is 1048641, and `blockIdx.x * hidden_size = 1048641 * 4096 = 4.29 billion`, crossing the 32-bit boundary at row ~524288. Affected sites (all in csrc/layernorm_kernels.cu): - `rms_norm_kernel` line 69: `out + blockIdx.x * hidden_size` (the reporter's exact pointer) - `fused_add_rms_norm_kernel` (vec specialization) line 118 + 136: `int id = blockIdx.x * vec_hidden_size + idx;` used to index `residual_v[id]` - `fused_add_rms_norm_kernel` (generic) lines 168, 171, 184: `residual[blockIdx.x * hidden_size + idx]` Sites already safe (left unchanged): - `rms_norm_kernel` line 29: `blockIdx.x * input_stride_d2` where `input_stride_d2` is `int64_t`, which promotes the multiply - `fused_add_rms_norm_kernel` (vec) lines 119/137: `blockIdx.x * vec_input_stride` where `vec_input_stride` is `int64_t` - `fused_add_rms_norm_kernel` (generic) lines 167/186: same `input_stride` int64_t pattern - `rms_norm_kernel` lines 32-41: division/modulo of `blockIdx.x` for batch_idx / head_idx / seq_idx, no multiply, no overflow concern Pattern adopted: `const int64_t token_idx = blockIdx.x;` near the top of each affected kernel, then substitute in the buggy multiplications. Matches the fix shape in vllm-project#42861 and the existing `swigluoai_and_mul_kernel` pattern in csrc/activation_kernels.cu. Each declaration carries a brief explanatory comment so the rationale stays discoverable. In the fused_add_rms_norm vec kernel I also widened the local `id` variable from `int` to `int64_t` so it can index the same large flat arrays without truncation when used in the subsequent `residual_v[id]` reads/writes. Reported by @molly-ting in vllm-project#42862 with the exact failing inputs above. Sibling of PR vllm-project#42861 (activation_kernels.cu int overflow). Out of scope (flagged in vllm-project#42861 as well): the same class of pattern exists in csrc/fused_qknorm_rope_kernel.cu (lines 150, 363) and csrc/fused_deepseek_v4_qnorm_rope_kv_insert_kernel.cu (line 157), which are warp-index calculations of a slightly different shape and should be triaged separately. Fixes vllm-project#42862 Signed-off-by: Dhruvil <dhruvilparikh79@gmail.com>
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Code Review
This pull request addresses potential 32-bit integer overflow issues in the rms_norm_kernel and fused_add_rms_norm_kernel functions within csrc/layernorm_kernels.cu. By promoting blockIdx.x to int64_t before multiplying it with hidden_size or vec_hidden_size, the code ensures that index calculations are performed using 64-bit arithmetic, preventing overflows when processing large tensors. I have no feedback to provide as there were no review comments.
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Thanks for the patch, could you please remove the excessive comment? One line at most imo @dparikh79 |
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This pull request has merge conflicts that must be resolved before it can be |
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Going to close this and reopen against |
Summary
Companion to #42861 for
csrc/layernorm_kernels.cu. The per-token pointer offsets in three kernels in this file were computed in 32-bit arithmetic when the stride / hidden-size operand wasint, overflowing once the product exceededINT_MAX(about 2.15 billion).From #42862, the reporter's failing case (
model royokong/e5-v,hidden_size = 4096,seq_len = 8129,batch_size = 129) has flat token dimension1048641, andblockIdx.x * hidden_size = 1048641 * 4096 = 4.29 billion, crossing the 32-bit boundary at row~524288.Affected sites (all in
csrc/layernorm_kernels.cu)rms_norm_kernelout + blockIdx.x * hidden_size(the reporter's exact pointer)fused_add_rms_norm_kernel(vec specialization)int id = blockIdx.x * vec_hidden_size + idxused to indexresidual_v[id]fused_add_rms_norm_kernel(generic)residual[blockIdx.x * hidden_size + idx]Sites already safe (left unchanged)
rms_norm_kernelline 29:blockIdx.x * input_stride_d2whereinput_stride_d2isint64_t, which promotes the multiply.fused_add_rms_norm_kernel(vec) lines 119, 137:blockIdx.x * vec_input_stridewherevec_input_strideisint64_t.fused_add_rms_norm_kernel(generic) lines 167, 186: sameinput_strideint64_t pattern.rms_norm_kernellines 32 - 41: division and modulo ofblockIdx.xforbatch_idx/head_idx/seq_idx, no multiply, no overflow concern.Fix
Same pattern as #42861 and the existing
swigluoai_and_mul_kernelinactivation_kernels.cu:In the fused_add_rms_norm vec kernel I also widened the local
idvariable frominttoint64_tso it can index the same large flat arrays without truncation when used in the subsequentresidual_v[id]reads / writes.Test plan
blockIdx.x * <int_operand>pointer-arithmetic site incsrc/layernorm_kernels.cuis now backed byint64_t token_idx. Sites withint64_tstride operands are unchanged and remain safe.model royokong/e5-v,hidden_size=4096,seq=8129,batch=129): cannot run locally (no equivalent GPU); maintainers with the failing config can verify.Out of scope (flagged here so they are not lost)
The same class of 32-bit-multiply pattern exists in:
csrc/fused_qknorm_rope_kernel.culines 150, 363csrc/fused_deepseek_v4_qnorm_rope_kv_insert_kernel.culine 157These are warp-index calculations (
blockIdx.x * warpsPerBlock + warpId) of a slightly different shape and should be triaged separately. Happy to follow up in a third PR if maintainers want them addressed.Sibling of #42861 (activation_kernels.cu int overflow). Fixes #42862.
AI assistance disclosure
This PR was prepared with the assistance of an AI coding tool (Claude). The bug diagnosis, the per-site classification into buggy vs already-safe, the int64_t-promotion pattern (matched to #42861 and the existing
swigluoai_and_mul_kernel), and the cross-file scan for the out-of-scope follow-up sites were each reviewed by me, and I am responsible for the contents.