From 7045e0fdff67e3a83425dda8fc07be1caa2d9a3c Mon Sep 17 00:00:00 2001
From: Mohammad Miadh Angkad <176301910+mmangkad@users.noreply.github.com>
Date: Fri, 10 Jul 2026 18:08:15 +0800
Subject: [PATCH] Seed sgl-kernel topk sigmoid tests on all backends (#30754)

---
 sgl-kernel/tests/test_moe_topk_sigmoid.py | 14 +++++---------
 1 file changed, 5 insertions(+), 9 deletions(-)

diff --git a/sgl-kernel/tests/test_moe_topk_sigmoid.py b/sgl-kernel/tests/test_moe_topk_sigmoid.py
index e9a9240ee..6b2cba858 100644
--- a/sgl-kernel/tests/test_moe_topk_sigmoid.py
+++ b/sgl-kernel/tests/test_moe_topk_sigmoid.py
@@ -5,18 +5,14 @@ import pytest
 import torch
 from sgl_kernel import topk_sigmoid
 
-_IS_HIP = torch.version.hip is not None
-
 
 @pytest.fixture(autouse=True)
 def _deterministic_seed():
-    # AMD/ROCm only: pin RNG so torch.randn produces identical gating scores
-    # across runs. atol=0 indices comparison is otherwise tripped by near-tied
-    # sigmoid scores where hipCUB's tie-break inside torch.topk disagrees with
-    # sgl_kernel.topk_sigmoid. Not observed on CUDA, so leave CUDA behavior
-    # unchanged.
-    if _IS_HIP:
-        torch.manual_seed(0)
+    # Pin RNG on every backend so torch.randn produces identical gating scores
+    # across runs. The exact index comparison can otherwise be tripped by
+    # near-tied sigmoid scores whose rounded values have different top-k
+    # tie-break ordering between torch.topk and sgl_kernel.topk_sigmoid.
+    torch.manual_seed(0)
 
 
 @pytest.mark.parametrize(