xc-llm-ascend

Author SHA1 Message Date

Author	SHA1	Message	Date
Ruri	aff5189c87	[main] Fuse GroupedMatmul, Swiglu and DynamicQuant in `W8A8_DYNAMIC` quantized MoE layers (#2275 ) ### What this PR does / why we need it? Fuse `GroupedMatmul`, `Swiglu` and `DynamicQuant` into one fusion operation `GroupedMatmulSwigluQuant`. 1. extract common functions in `w4a8_dynamic.py` and `w8a8_dynamic.py` 2. if in supported occasion, use fusion operation `npu_grouped_matmul_swiglu_quant` ### Does this PR introduce _any_ user-facing change? ### How was this patch tested? Tested on W8A8 quantized Qwen3-235B-A22B model with `bs=16` 1. `tp=8`, `dp=1`, `moe_tp=8`, `moe_ep=1`, TPOP increased 21.54%, Output Token Throughput increased 27.35% <img width="3443" height="211" alt="image" src="https://github.com/user-attachments/assets/a1a9c14d-2310-41be-9a03-36125dabae6e" /> 3. `tp=8`, `dp=1`, `moe_tp=1`, `moe_ep=8`, TPOP increased 17.38%, Output Token Throughput increased 6.86% <img width="3443" height="211" alt="image" src="https://github.com/user-attachments/assets/1ce92e92-720d-40c0-8b4d-c493e5cb10a6" /> - vLLM version: v0.10.1.1 - vLLM main: `6997a25ac6` --------- Signed-off-by: Ruri <33858552+zhoux77899@users.noreply.github.com> Signed-off-by: zhoux77899 <zhouxiang100@huawei.com>	2025-09-04 11:37:32 +08:00
weichen	3a5fc5ee01	[Refactor][MoE] remove redundant code after refactoring fused_moe (#2612 ) ### What this PR does / why we need it? There are a lot of redundant codes related to moe here, and the structure is not very clear. We did the following things： we have placed the relatively independent code related to apply_mlp into a separate file; removed the environment variables of alltoall_buffer and alltoall_seq. Remove the code related to alltoall_buffer and alltoall_seq, and retain the sole TokenDispatcher inheritance class. ### Does this PR introduce _any_ user-facing change? No ### How was this patch tested? e2e&ut - vLLM version: v0.10.1.1 - vLLM main: `4071c76cf3` --------- Signed-off-by: Pr0Wh1teGivee <calvin_zhu0210@outlook.com> Signed-off-by: weijinqian_v1 <weijinqian@huawei.com> Co-authored-by: weijinqian0 <12153182+weijinqian0@users.noreply.github.com>	2025-08-30 22:28:50 +08:00

Ruri

aff5189c87

[main] Fuse GroupedMatmul, Swiglu and DynamicQuant in W8A8_DYNAMIC quantized MoE layers (#2275 )

### What this PR does / why we need it?

Fuse `GroupedMatmul`, `Swiglu` and `DynamicQuant` into one fusion
operation `GroupedMatmulSwigluQuant`.

1. extract common functions in `w4a8_dynamic.py` and `w8a8_dynamic.py`
2. if in supported occasion, use fusion operation
`npu_grouped_matmul_swiglu_quant`

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

### How was this patch tested?

Tested on W8A8 quantized Qwen3-235B-A22B model with `bs=16`

1. `tp=8`, `dp=1`, `moe_tp=8`, `moe_ep=1`, TPOP increased 21.54%, Output
Token Throughput increased 27.35%
<img width="3443" height="211" alt="image"
src="https://github.com/user-attachments/assets/a1a9c14d-2310-41be-9a03-36125dabae6e"
/>

3. `tp=8`, `dp=1`, `moe_tp=1`, `moe_ep=8`, TPOP increased 17.38%, Output
Token Throughput increased 6.86%
<img width="3443" height="211" alt="image"
src="https://github.com/user-attachments/assets/1ce92e92-720d-40c0-8b4d-c493e5cb10a6"
/>


- vLLM version: v0.10.1.1
- vLLM main:
6997a25ac6

---------

Signed-off-by: Ruri <33858552+zhoux77899@users.noreply.github.com>
Signed-off-by: zhoux77899 <zhouxiang100@huawei.com>

2025-09-04 11:37:32 +08:00

weichen

3a5fc5ee01

[Refactor][MoE] remove redundant code after refactoring fused_moe (#2612 )

### What this PR does / why we need it?
There are a lot of redundant codes related to moe here, and the
structure is not very clear.
We did the following things：

we have placed the relatively independent code related to apply_mlp into
a separate file;
removed the environment variables of alltoall_buffer and alltoall_seq.
Remove the code related to alltoall_buffer and alltoall_seq, and retain
the sole TokenDispatcher inheritance class.
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
e2e&ut

- vLLM version: v0.10.1.1
- vLLM main:
4071c76cf3

---------

Signed-off-by: Pr0Wh1teGivee <calvin_zhu0210@outlook.com>
Signed-off-by: weijinqian_v1 <weijinqian@huawei.com>
Co-authored-by: weijinqian0 <12153182+weijinqian0@users.noreply.github.com>

2025-08-30 22:28:50 +08:00

2 Commits