[Chore] Remove Sampler from Model Code (#17084)

Signed-off-by: Woosuk Kwon <woosuk.kwon@berkeley.edu>
This commit is contained in:
Woosuk Kwon
2025-04-24 02:49:33 -07:00
committed by GitHub
parent 2bc0f72ae5
commit b411418ff0
103 changed files with 48 additions and 1099 deletions

View File

@@ -15,11 +15,10 @@ from vllm.model_executor.layers.fused_moe import FusedMoE
from vllm.model_executor.layers.linear import (ColumnParallelLinear,
RowParallelLinear)
from vllm.model_executor.layers.logits_processor import LogitsProcessor
from vllm.model_executor.layers.sampler import (SamplerOutput,
SamplingMetadata, get_sampler)
from vllm.model_executor.layers.vocab_parallel_embedding import ParallelLMHead
from vllm.model_executor.model_loader.weight_utils import (
default_weight_loader, maybe_remap_kv_scale_name)
from vllm.model_executor.sampling_metadata import SamplingMetadata
from vllm.multimodal import MULTIMODAL_REGISTRY
from vllm.multimodal.inputs import (MultiModalDataDict, MultiModalFieldConfig,
MultiModalKwargs)
@@ -527,7 +526,6 @@ class AriaForConditionalGeneration(nn.Module, SupportsMultiModal):
logit_scale = getattr(config, "logit_scale", 1.0)
self.logits_processor = LogitsProcessor(self.unpadded_vocab_size,
self.vocab_size, logit_scale)
self.sampler = get_sampler()
def _validate_image_sizes(
self, images: List[torch.Tensor]) -> List[torch.Tensor]:
@@ -653,14 +651,6 @@ class AriaForConditionalGeneration(nn.Module, SupportsMultiModal):
sampling_metadata)
return logits
def sample(
self,
logits: torch.Tensor,
sampling_metadata: SamplingMetadata,
) -> Optional[SamplerOutput]:
next_tokens = self.sampler(logits, sampling_metadata)
return next_tokens
def load_weights(self, weights: Iterable[Tuple[str, torch.Tensor]]):
loader = AutoWeightsLoader(self)
loader.load_weights(weights, mapper=self.hf_to_vllm_mapper)