Files
vLLM/vllm/spec_decode/proposer_worker_base.py
T
Russell Bryant e489ad7a21 [Misc] Add SPDX-License-Identifier headers to python source files (#12628)
- **Add SPDX license headers to python source files**
- **Check for SPDX headers using pre-commit**

commit 9d7ef44c3cfb72ca4c32e1c677d99259d10d4745
Author: Russell Bryant <rbryant@redhat.com>
Date:   Fri Jan 31 14:18:24 2025 -0500

    Add SPDX license headers to python source files
    
This commit adds SPDX license headers to python source files as
recommended to
the project by the Linux Foundation. These headers provide a concise way
that is
both human and machine readable for communicating license information
for each
source file. It helps avoid any ambiguity about the license of the code
and can
    also be easily used by tools to help manage license compliance.
    
The Linux Foundation runs license scans against the codebase to help
ensure
    we are in compliance with the licenses of the code we use, including
dependencies. Having these headers in place helps that tool do its job.
    
    More information can be found on the SPDX site:
    
    - https://spdx.dev/learn/handling-license-info/
    
    Signed-off-by: Russell Bryant <rbryant@redhat.com>

commit 5a1cf1cb3b80759131c73f6a9dddebccac039dea
Author: Russell Bryant <rbryant@redhat.com>
Date:   Fri Jan 31 14:36:32 2025 -0500

    Check for SPDX headers using pre-commit
    
    Signed-off-by: Russell Bryant <rbryant@redhat.com>

---------

Signed-off-by: Russell Bryant <rbryant@redhat.com>
2025-02-02 11:58:18 -08:00

59 lines
2.0 KiB
Python

# SPDX-License-Identifier: Apache-2.0
from abc import ABC, abstractmethod
from typing import List, Optional, Set, Tuple
from vllm.model_executor.layers.sampler import SamplerOutput
from vllm.sequence import ExecuteModelRequest
from vllm.spec_decode.interfaces import SpeculativeProposer
from vllm.worker.worker_base import LoraNotSupportedWorkerBase
class ProposerWorkerBase(LoraNotSupportedWorkerBase, SpeculativeProposer):
"""Interface for proposer workers"""
@abstractmethod
def sampler_output(
self,
execute_model_req: ExecuteModelRequest,
sample_len: int,
# A set containing all sequence IDs that were assigned bonus tokens
# in their last forward pass. This set is used to backfill the KV cache
# with the key-value pairs of the penultimate token in the sequences.
# This parameter is only used by the MultiStepWorker, which relies on
# the KV cache for token generation. It is not used by workers that
# do not utilize the KV cache.
seq_ids_with_bonus_token_in_last_step: Set[int]
) -> Tuple[Optional[List[SamplerOutput]], bool]:
raise NotImplementedError
def set_include_gpu_probs_tensor(self) -> None:
"""Implementation optional"""
pass
def set_should_modify_greedy_probs_inplace(self) -> None:
"""Implementation optional"""
pass
class NonLLMProposerWorkerBase(ProposerWorkerBase, ABC):
"""Proposer worker which does not use a model with kvcache"""
def execute_model(
self,
execute_model_req: Optional[ExecuteModelRequest] = None
) -> List[SamplerOutput]:
"""get_spec_proposals is used to get the proposals"""
return []
def determine_num_available_blocks(self) -> Tuple[int, int]:
"""This is never called on the proposer, only the target model"""
raise NotImplementedError
def initialize_cache(self, num_gpu_blocks: int,
num_cpu_blocks: int) -> None:
pass
def get_cache_block_size_bytes(self) -> int:
return 0