129 lines
3.8 KiB
Python
129 lines
3.8 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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from collections.abc import Mapping, Set
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from itertools import groupby
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import torch
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from vllm.config import PoolerConfig
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from vllm.model_executor.layers.pooler import PoolingParamsUpdate
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from vllm.tasks import PoolingTask
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from vllm.v1.pool.metadata import PoolingMetadata
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from .abstract import Pooler, PoolerOutput
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from .common import ClassifierFn
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from .seqwise import (
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SequencePoolingFn,
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SequencePoolingMethod,
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pooler_for_classify,
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pooler_for_embed,
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)
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from .tokwise import AllPool, pooler_for_token_classify, pooler_for_token_embed
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class DispatchPooler(Pooler):
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"""Dispatches calls to a sub-pooler based on the pooling task."""
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@classmethod
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def for_embedding(cls, pooler_config: PoolerConfig):
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return cls(
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{
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"token_embed": pooler_for_token_embed(pooler_config),
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"embed": pooler_for_embed(pooler_config),
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},
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)
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@classmethod
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def for_seq_cls(
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cls,
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pooler_config: PoolerConfig,
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*,
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pooling: SequencePoolingMethod | SequencePoolingFn | None = None,
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classifier: ClassifierFn | None = None,
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):
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return cls(
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{
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"token_classify": pooler_for_token_classify(
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pooler_config,
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pooling=AllPool(),
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classifier=classifier,
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),
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"classify": pooler_for_classify(
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pooler_config,
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pooling=pooling,
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classifier=classifier,
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act_fn="classify",
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),
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"score": pooler_for_classify(
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pooler_config,
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pooling=pooling,
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classifier=classifier,
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act_fn="score",
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),
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}
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)
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def __init__(self, poolers_by_task: Mapping[PoolingTask, Pooler]) -> None:
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super().__init__()
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for task, pooler in poolers_by_task.items():
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if task not in pooler.get_supported_tasks():
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raise ValueError(
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f"{pooler=} does not support {task=}. "
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f"Supported tasks: {pooler.get_supported_tasks()}"
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)
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self.poolers_by_task = poolers_by_task
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def get_supported_tasks(self) -> Set[PoolingTask]:
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return set(self.poolers_by_task)
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def get_pooling_updates(self, task: PoolingTask) -> PoolingParamsUpdate:
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return self.poolers_by_task[task].get_pooling_updates(task)
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def forward(
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self,
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hidden_states: torch.Tensor,
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pooling_metadata: PoolingMetadata,
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) -> PoolerOutput:
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poolers_by_task = self.poolers_by_task
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outputs = list[torch.Tensor | None]()
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offset = 0
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for task, group in groupby(pooling_metadata.tasks):
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if not (pooler := poolers_by_task.get(task)):
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raise ValueError(
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f"Unsupported task: {task!r} "
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f"Supported tasks: {self.get_supported_tasks()}"
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)
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num_items = len(list(group))
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group_output: PoolerOutput = pooler(
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hidden_states,
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pooling_metadata[offset : offset + num_items],
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)
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outputs.extend(group_output)
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offset += num_items
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return outputs
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def extra_repr(self) -> str:
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s = f"supported_task={self.get_supported_tasks()}"
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return s
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class IdentityPooler(Pooler):
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def get_supported_tasks(self) -> Set[PoolingTask]:
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return {"plugin", "score"}
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def forward(
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self,
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hidden_states: torch.Tensor,
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pooling_metadata: PoolingMetadata,
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) -> PoolerOutput:
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return hidden_states
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__all__ = ["DispatchPooler", "IdentityPooler"]
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