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[BugFix] [Kernel] Fix GPU SEGV occuring in fused_moe kernel #10381

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@rasmith rasmith commented Nov 15, 2024

When running a large model (~500G), I encountered GPU SEGV. It was occurring in fused_moe_kernel:

Thread 98 "python" received signal SIGSEGV, Segmentation fault.
Warning: precise memory violation signal reporting is not enabled, reported
location may not be accurate.  See "show amdgpu precise-memory".
[Switching to thread 98, lane 0 (AMDGPU Lane 7:2:1:1/0 (0,0,0)[0,0,0])]
fused_moe_kernel () at fused_moe.py:142
142             b = tl.load(b_ptrs,

It seemed to me that this could be integer overflow. Changing offsets to use tl.int64 in fused_moe.py:fused_moe_kernel fixes the issue.

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@rasmith rasmith changed the title Fix segv occuring in fused_moe.py kernel [BugFix] [Kernel] Fix GPU SEGV occuring in fused_moe kernel Nov 15, 2024
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rasmith commented Nov 15, 2024

/ready

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Thanks for the fix! I noted a couple of spots where I think 32-bits should be fine, WDYT?

vllm/model_executor/layers/fused_moe/fused_moe.py Outdated Show resolved Hide resolved
vllm/model_executor/layers/fused_moe/fused_moe.py Outdated Show resolved Hide resolved
@tlrmchlsmth tlrmchlsmth added the ready ONLY add when PR is ready to merge/full CI is needed label Nov 16, 2024
@tlrmchlsmth tlrmchlsmth enabled auto-merge (squash) November 16, 2024 00:31
@tlrmchlsmth tlrmchlsmth enabled auto-merge (squash) November 16, 2024 00:34
@@ -116,7 +116,7 @@ def fused_moe_kernel(
a_ptrs = a_ptr + (offs_token[:, None] // top_k * stride_am +
offs_k[None, :] * stride_ak)

off_experts = tl.load(expert_ids_ptr + pid_m).to(tl.int64)
off_experts = tl.load(expert_ids_ptr + pid_m)
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@tlrmchlsmth Doing this causes SEGV when I tested.

@tlrmchlsmth tlrmchlsmth enabled auto-merge (squash) November 16, 2024 00:47
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