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[Bugfix] Use 'sum' reduction instead of 'avg' in Async TP reduce-scatter (#33088)

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Signed-off-by: Xingran Wang <wangxingran123456@outlook.com>
Signed-off-by: Hongjian Zhang <hirokenovo@gmail.com>
Co-authored-by: Hongjian Zhang <hirokenovo@gmail.com>
This commit is contained in:
Wang Xingran
2026-02-27 15:06:08 +08:00
committed by GitHub
parent a572baff5e
commit 07bdabef03
1 changed files with 3 additions and 3 deletions
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6
vllm/compilation/passes/fusion/collective_fusion.py
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@@ -53,7 +53,7 @@ class GEMMReduceScatterPattern(BasePattern):
gemm_rs = torch.ops.symm_mem.fused_matmul_reduce_scatter( gemm_rs = torch.ops.symm_mem.fused_matmul_reduce_scatter(
mul, mul,
mm_weight, mm_weight,
"avg", "sum",
scatter_dim=0, scatter_dim=0,
group_name=self.tp.device_group.group_name, group_name=self.tp.device_group.group_name,
) )
@@ -150,7 +150,7 @@ class ScaledMMReduceScatterPattern(BasePattern):
mat2, mat2,
scale_a, scale_a,
scale_b, scale_b,
"avg", "sum",
scatter_dim, # orig_scatter_dim scatter_dim, # orig_scatter_dim
scatter_dim, # scatter_dim_after_maybe_reshape scatter_dim, # scatter_dim_after_maybe_reshape
self.tp.device_group.group_name, self.tp.device_group.group_name,
@@ -285,7 +285,7 @@ class CutlassScaledMMReduceScatterPattern(BasePattern):
mat2, mat2,
scale_a, scale_a,
scale_b, scale_b,
"avg", "sum",
scatter_dim, # orig_scatter_dim scatter_dim, # orig_scatter_dim
scatter_dim, # scatter_dim_after_maybe_reshape scatter_dim, # scatter_dim_after_maybe_reshape
self.tp.device_group.group_name, self.tp.device_group.group_name,