chore: Update vllm_engine.py to support vllm version >= 0.5.1
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@ -18,7 +18,7 @@ from typing import TYPE_CHECKING, Any, AsyncGenerator, AsyncIterator, Dict, List
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from ..data import get_template_and_fix_tokenizer
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from ..extras.logging import get_logger
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from ..extras.misc import get_device_count
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from ..extras.packages import is_vllm_available, is_vllm_version_greater_than_0_5
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from ..extras.packages import is_vllm_available, is_vllm_version_greater_than_0_5, is_vllm_version_greater_than_0_5_1
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from ..model import load_config, load_tokenizer
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from ..model.model_utils.quantization import QuantizationMethod
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from ..model.model_utils.visual import LlavaMultiModalProjectorForYiVLForVLLM
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@ -29,7 +29,9 @@ if is_vllm_available():
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from vllm import AsyncEngineArgs, AsyncLLMEngine, RequestOutput, SamplingParams
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from vllm.lora.request import LoRARequest
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if is_vllm_version_greater_than_0_5():
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if is_vllm_version_greater_than_0_5_1():
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pass
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elif is_vllm_version_greater_than_0_5():
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from vllm.multimodal.image import ImagePixelData
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else:
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from vllm.sequence import MultiModalData
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@ -130,8 +132,10 @@ class VllmEngine(BaseEngine):
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if self.processor is not None and image is not None: # add image features
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image_processor: "BaseImageProcessor" = getattr(self.processor, "image_processor")
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pixel_values = image_processor(image, return_tensors="pt")["pixel_values"]
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if is_vllm_version_greater_than_0_5():
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multi_modal_data = ImagePixelData(image=pixel_values)
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if is_vllm_version_greater_than_0_5_1():
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multi_modal_data = {"image": pixel_values}
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elif is_vllm_version_greater_than_0_5():
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multi_modal_data = ImagePixelData(image=pixel_values)
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else: # TODO: remove vllm 0.4.3 support
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multi_modal_data = MultiModalData(type=MultiModalData.Type.IMAGE, data=pixel_values)
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else:
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@ -81,3 +81,7 @@ def is_vllm_available():
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@lru_cache
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def is_vllm_version_greater_than_0_5():
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return _get_package_version("vllm") >= version.parse("0.5.0")
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@lru_cache
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def is_vllm_version_greater_than_0_5_1():
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return _get_package_version("vllm") >= version.parse("0.5.1")
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