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[Refact]Refact MLA/SFA weight prefetch to consist with moe weight prefetch (#6629)

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### What this PR does / why we need it?
1. [Refact] Refact MLA/SFA weight prefetch to consist with moe weight
prefetch
2. Remove duplicated o_proj weight prefetch in forward for MLA/SFA

### Does this PR introduce _any_ user-facing change?
NA

### How was this patch tested?

1) Performance result:
Perf test data:
*) MLA:

| | 1st test | 2nd test | Output Token Throughput(Avg) | Performance
improvement percentage |
| --- | --- | --- | --- | --- |
| o_proj duplicate prefetch | 11.9669 token/s | 12.0287 token/s |
11.9978 |
| o_proj no duplicate prefetch | 12.5594 token/s | 12.6216 token/s |
12.5905 | 4.94%| |

single layer performace improve: 5%~8%

*) SFA:

| | 1st test | 2nd test | Output Token Throughput(Avg) | Performance
improvement percentage |
| --- | --- | --- | --- | --- |
| o_proj duplicate prefetch | 13.0523 token/s | 13.1084 token/s |
13.08035 | |
| o_proj no duplicate prefetch | 13.9844 token/s | 14.1678 token/s |
14.0761 | 7.6% |

- vLLM version: v0.15.0
- vLLM main:
d7e17aaacd

---------

Signed-off-by: leo-pony <nengjunma@outlook.com>
This commit is contained in:
Nengjun Ma
2026-02-10 14:14:37 +08:00
committed by GitHub
parent 2a826b5fad
commit 66b60c9440
15 changed files with 98 additions and 56 deletions
Download Patch File Download Diff File Expand all files Collapse all files

7
vllm_ascend/ops/linear_op.py
View File

@@ -149,10 +149,9 @@ class CustomRowParallelOp(CustomLinearOp):
def apply(self, input_):
output, output_bias = self.apply_impl(input_)
weight_prefetch_method = get_weight_prefetch_method()
if weight_prefetch_method:
weight_prefetch_method.maybe_prefetch_mlp_weight_preprocess(
weight_prefetch_method.MLP_GATE_UP, output, self.prefix
)
weight_prefetch_method.maybe_prefetch_mlp_weight_preprocess(
weight_prefetch_method.MLP_GATE_UP, output, self.prefix
)
if not self.return_bias:
return output