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[CI Failure] fix tests/entrypoints/openai/test_skip_tokenizer.py (#22708)

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Signed-off-by: wang.yuqi <noooop@126.com>
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wang.yuqi 2025-08-12 20:42:58 +08:00 committed by GitHub
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commit f7ad6a1eb3
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1 changed files with 9 additions and 4 deletions
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vllm/model_executor/models/prithvi_geospatial_mae.py
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@ -25,11 +25,11 @@ import torch.nn as nn
from transformers import BatchFeature from transformers import BatchFeature
from vllm.config import VllmConfig from vllm.config import VllmConfig
from vllm.model_executor.layers.pooler import (AllPool, PoolerHead, from vllm.model_executor.layers.pooler import DispatchPooler, Pooler
PoolerIdentity, SimplePooler)
from vllm.model_executor.model_loader.weight_utils import default_weight_loader from vllm.model_executor.model_loader.weight_utils import default_weight_loader
from vllm.model_executor.models.interfaces import ( from vllm.model_executor.models.interfaces import (
IsAttentionFree, MultiModalEmbeddings, SupportsMultiModalWithRawInput) IsAttentionFree, MultiModalEmbeddings, SupportsMultiModalWithRawInput,
default_pooling_type)
from vllm.model_executor.models.utils import AutoWeightsLoader from vllm.model_executor.models.utils import AutoWeightsLoader
from vllm.multimodal import MULTIMODAL_REGISTRY from vllm.multimodal import MULTIMODAL_REGISTRY
from vllm.multimodal.inputs import (MultiModalDataDict, MultiModalFieldConfig, from vllm.multimodal.inputs import (MultiModalDataDict, MultiModalFieldConfig,
@ -142,6 +142,7 @@ class PrithviGeoSpatialMAEMultiModalProcessor(BaseMultiModalProcessor):
) )
@default_pooling_type("All")
@MULTIMODAL_REGISTRY.register_processor( @MULTIMODAL_REGISTRY.register_processor(
PrithviGeoSpatialMAEMultiModalProcessor, PrithviGeoSpatialMAEMultiModalProcessor,
info=PrithviGeoSpatialMAEProcessingInfo, info=PrithviGeoSpatialMAEProcessingInfo,
@ -198,7 +199,11 @@ class PrithviGeoSpatialMAE(nn.Module, IsAttentionFree,
"Only SemanticSegmentationTask is supported for now " "Only SemanticSegmentationTask is supported for now "
"by PrithviGeospatialMAE.") "by PrithviGeospatialMAE.")
self.pooler = SimplePooler(AllPool(), PoolerHead(PoolerIdentity())) pooler_config = vllm_config.model_config.pooler_config
assert pooler_config is not None
self.pooler = DispatchPooler(
{"encode": Pooler.for_encode(pooler_config)}, )
def _parse_and_validate_multimodal_data( def _parse_and_validate_multimodal_data(
self, **kwargs) -> tuple[torch.Tensor, Optional[torch.Tensor]]: self, **kwargs) -> tuple[torch.Tensor, Optional[torch.Tensor]]: