Commit Graph

10 Commits

Author SHA1 Message Date
Nengjun Ma
66b60c9440 [Refact]Refact MLA/SFA weight prefetch to consist with moe weight prefetch (#6629)
### 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>
2026-02-10 14:14:37 +08:00
SILONG ZENG
65b7f716e6 [Lint]Style: Convert vllm-ascend/ to ruff format(Batch #11) (#6176)
### What this PR does / why we need it?
**Scope of Changes**:
| File Path |
| :--- |
| `vllm_ascend/ops/fused_moe/comm_utils.py` |
| `vllm_ascend/ops/fused_moe/experts_selector.py` |
| `vllm_ascend/ops/fused_moe/fused_moe.py` |
| `vllm_ascend/ops/fused_moe/moe_comm_method.py` |
| `vllm_ascend/ops/fused_moe/moe_mlp.py` |
| `vllm_ascend/ops/fused_moe/prepare_finalize.py` |
| `vllm_ascend/ops/fused_moe/token_dispatcher.py` |

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

### How was this patch tested?

- vLLM version: v0.14.0
- vLLM main:
d68209402d

Signed-off-by: MrZ20 <2609716663@qq.com>
Signed-off-by: SILONG ZENG <2609716663@qq.com>
2026-02-06 15:28:49 +08:00
ZCG12345
3be8e33fe9 [Kernel] Add moe_gating_top_k operator support for Ascend NPU (#5579)
### What this PR does / why we need it?

1.replace moe_gating_top_k from torch_npu with custom op
2.enable the  renorm function of moe_gating_top_k in softmax scenerio

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
No need test

- vLLM version: v0.13.0
- vLLM main:
7157596103

---------

Signed-off-by: ZCG12345 <2097562023@qq.com>
2026-01-07 21:42:31 +08:00
Chu Yuelin
d07d8a4535 [Model] Add LongCat-Flash (#3833)
### What this PR does / why we need it?
Add LongCat-Flash support.
### Does this PR introduce _any_ user-facing change?
N/A
### How was this patch tested?
CI passed

- vLLM version: v0.13.0
- vLLM main:
ad32e3e19c

---------

Signed-off-by: chuyuelin <923822139@qq.com>
Co-authored-by: chuyuelin <chuyuelin1@huawei.com>
2025-12-31 17:06:55 +08:00
zzzzwwjj
71f729a661 Revert "moe_gating_top_k" (#5512)
Reverts vllm-project/vllm-ascend#5271

It breaks e2e test

- vLLM version: v0.13.0
- vLLM main:
45c1ca1ca1
2025-12-30 15:05:47 +08:00
ZCG12345
45c3c279e2 moe_gating_top_k (#5271)
1. What this PR does / why we need it?
This PR supports the moe_gating_top_k operator, which enables
post-positioned renormalization (renorm) on the basis of softmax.
2. Does this PR introduce any user-facing change?
No user-facing changes are required.
3. How was this patch tested?
This patch was tested with the test_npu_moe_gating_top_k test case.
vLLM version: release/v0.13.0
vLLM main:
ad32e3e19c

---------

Signed-off-by: ZCG12345 <2097562023@qq.com>
Signed-off-by: zzzzwwjj <34335947+zzzzwwjj@users.noreply.github.com>
Co-authored-by: zzzzwwjj <34335947+zzzzwwjj@users.noreply.github.com>
2025-12-30 09:28:01 +08:00
Wang Kunpeng
c3a8d13ca7 [refactor] Remove unnecessary attributes from set_ascend_forward_context (#5204)
### What this PR does / why we need it?
Remove unnecessary attributes from set_ascend_forward_context
1.prefetch_stream
2.weight_prefetch_method
### Does this PR introduce _any_ user-facing change?
no
### How was this patch tested?

- vLLM version: v0.12.0
- vLLM main:
ad32e3e19c

Signed-off-by: Wang Kunpeng <1289706727@qq.com>
2025-12-23 08:49:52 +08:00
1092626063
b3e1377a92 【fix】ops gatingtopk fix nightly ci error (#4340)
### What this PR does / why we need it?
This pr https://github.com/vllm-project/vllm-ascend/pull/2958 is
supporting gatingtopk operator generalization, but caused nightly ci
error.
Now we add check logits for ops gatingtopk, and fix nightly ci.

- vLLM version: v0.12.0

Signed-off-by: 1092626063 <1092626063@qq.com>
2025-12-04 20:09:21 +08:00
1092626063
9328f377b4 [refactor]support gatingtopk operator generalization (#2958)
### What this PR does / why we need it?

Past:
npu_moe_gating_top_k can only support 'group_count=256' pattern

Now:
1、npu_moe_gating_top_k support all size of group_count
2、the functionality of `torch_npu.npu_moe_gating_top_k_softmax` are
included in `torch_npu.npu_moe_gating_top_k`

CANN: depends on 8.3.RC1

Performance:
1. GLM4.5-w8a8, TPS improve 6%
2. Qwen3, the same as before

- vLLM version: v0.11.0
- vLLM main:
2918c1b49c

Signed-off-by: 1092626063 <1092626063@qq.com>
2025-11-19 10:38:56 +08:00
weichen
63c363d3de [Refactor] [MoE] Rename moe-related classes & files (#3646)
### What this PR does / why we need it?
1. Rename common_fused_moe.py to fused_moe.py.
2. Rename fused_moe_prepare_and_finalize.py / FusedMoEPrepareAndFinalize
to prepare_finalize.py / PrepareAndFinalize.
3. Rename vllm_ascend/ops/moe to vllm_ascend/ops/fused_moe.
4. Move vllm_ascend/ops/fused_moe.py to
vllm_ascend/ops/fused_moe/fused_moe.py
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
e2e & ut

- vLLM version: v0.11.0rc3
- vLLM main:
17c540a993

Signed-off-by: Pr0Wh1teGivee <calvin_zhu0210@outlook.com>
2025-10-25 11:22:03 +08:00