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[Bugfix] Add use_cross_encoder flag to use correct activation in ClassifierPooler (#20527)

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Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>
This commit is contained in:
Cyrus Leung
2025-07-07 05:01:48 +08:00
committed by GitHub
parent 9528e3a05e
commit c18b3b8e8b
8 changed files with 56 additions and 41 deletions
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5
vllm/model_executor/models/bert.py
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@@ -25,8 +25,6 @@ from vllm.model_executor.layers.vocab_parallel_embedding import (
from vllm.model_executor.model_loader.weight_utils import default_weight_loader
from vllm.model_executor.pooling_metadata import PoolingMetadata
from vllm.sequence import IntermediateTensors, PoolerOutput
from vllm.transformers_utils.config import (
get_cross_encoder_activation_function)
from .interfaces import SupportsCrossEncoding, SupportsQuant, SupportsV0Only
from .utils import WeightsMapper, maybe_prefix
@@ -462,9 +460,6 @@ class BertForSequenceClassification(nn.Module, SupportsV0Only,
super().__init__()
config = vllm_config.model_config.hf_config
self.default_activation_function = \
get_cross_encoder_activation_function(config)
self.num_labels = config.num_labels
self.bert = BertModel(vllm_config=vllm_config,
prefix=maybe_prefix(prefix, "bert"),