56 lines
2.6 KiB
Python
56 lines
2.6 KiB
Python
#
|
|
# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
|
|
# Copyright 2023 The vLLM team.
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
# This file is a part of the vllm-ascend project.
|
|
# Adapted from vllm-project/vllm/vllm/worker/gpu_model_runner.py
|
|
#
|
|
|
|
|
|
from vllm_ascend.spec_decode.dflash_proposer import AscendDflashProposer
|
|
from vllm_ascend.spec_decode.draft_proposer import AscendDraftModelProposer
|
|
from vllm_ascend.spec_decode.eagle_proposer import AscendEagleProposer
|
|
from vllm_ascend.spec_decode.extract_hidden_states_proposer import (
|
|
AscendExtractHiddenStatesProposer,
|
|
)
|
|
from vllm_ascend.spec_decode.medusa_proposer import AscendMedusaProposer
|
|
from vllm_ascend.spec_decode.ngram_proposer import AscendNgramProposer
|
|
from vllm_ascend.spec_decode.ngram_proposer_npu import AscendNgramProposerNPU
|
|
from vllm_ascend.spec_decode.step3p5 import AscendStep3p5MTPProposer
|
|
from vllm_ascend.spec_decode.suffix_proposer import AscendSuffixDecodingProposer
|
|
|
|
|
|
def get_spec_decode_method(method, vllm_config, device, runner):
|
|
if method == "ngram":
|
|
return AscendNgramProposer(vllm_config, runner)
|
|
elif method == "ngram_gpu":
|
|
return AscendNgramProposerNPU(vllm_config, device, runner)
|
|
elif method == "suffix":
|
|
return AscendSuffixDecodingProposer(vllm_config, runner)
|
|
elif method == "medusa":
|
|
return AscendMedusaProposer(vllm_config, device)
|
|
elif method in ("eagle", "eagle3", "mtp"):
|
|
speculative_config = vllm_config.speculative_config
|
|
if speculative_config is not None and speculative_config.use_step3p5_mtp():
|
|
return AscendStep3p5MTPProposer(vllm_config, device, runner)
|
|
return AscendEagleProposer(vllm_config, device, runner)
|
|
elif method == "dflash":
|
|
return AscendDflashProposer(vllm_config, device, runner)
|
|
elif method == "draft_model":
|
|
return AscendDraftModelProposer(vllm_config, device, runner)
|
|
elif method == "extract_hidden_states":
|
|
return AscendExtractHiddenStatesProposer(vllm_config, device, runner)
|
|
else:
|
|
raise ValueError(f"Unknown speculative decoding method: {method}")
|