[FEAT] Refactor spec decode to support efficient padded speculation (#3528)

### What this PR does / why we need it?
1. Refactor the file `mtp_proposer.py`, splits torchair related codes
into `mtp_torchair_proposer.py`
2. According to https://github.com/vllm-project/vllm/pull/24539,
implements padded speculative decoding as described in
https://github.com/vllm-project/vllm/issues/21984.
### Does this PR introduce _any_ user-facing change?
User can use `disable_padded_drafter_batch` to disable/enable padded
speculation, default is `False`.
offline example:
```
speculative_config={"method": "deepseek_mtp", "num_speculative_tokens": 1, "disable_padded_drafter_batch": False}
```

### How was this patch tested?

- [x] egaer with pad/unpad:
- [x] aclgraph with pad/unpad
- [x] torchair with pad/unpad

performance test of deepseek-r1 with tp16、dp1
aclgraph with pad ITL: 168ms
aclgraph with unpad ITL: 169ms
original: 178ms


- vLLM version: v0.11.0rc3
- vLLM main:
83f478bb19

---------

Signed-off-by: xuyexiong <xuyexiong@huawei.com>
This commit is contained in:
xuyexiong
2025-10-30 16:53:05 +08:00
committed by GitHub
parent 10772d94e3
commit eff3e5fc6f
7 changed files with 1203 additions and 440 deletions

View File

@@ -19,14 +19,21 @@
from vllm_ascend.spec_decode.eagle_proposer import EagleProposer
from vllm_ascend.spec_decode.mtp_proposer import MtpProposer
from vllm_ascend.spec_decode.ngram_proposer import NgramProposer
from vllm_ascend.torchair.torchair_mtp_proposer import TorchairMtpProposer
def get_spec_decode_method(method, vllm_config, device, runner):
def get_spec_decode_method(method,
vllm_config,
device,
runner,
is_torchair_graph=False):
if method == "ngram":
return NgramProposer(vllm_config, device, runner)
elif method in ["eagle", "eagle3"]:
return EagleProposer(vllm_config, device, runner)
elif method == 'deepseek_mtp':
if is_torchair_graph:
return TorchairMtpProposer(vllm_config, device, runner)
return MtpProposer(vllm_config, device, runner)
else:
raise ValueError("Unknown speculative decoding method: "