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vllm/lora/request.py
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97
vllm/lora/request.py
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# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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import warnings
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from typing import Optional
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import msgspec
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class LoRARequest(
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msgspec.Struct,
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omit_defaults=True, # type: ignore[call-arg]
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array_like=True): # type: ignore[call-arg]
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"""
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Request for a LoRA adapter.
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Note that this class should be used internally. For online
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serving, it is recommended to not allow users to use this class but
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instead provide another layer of abstraction to prevent users from
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accessing unauthorized LoRA adapters.
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lora_int_id must be globally unique for a given adapter.
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This is currently not enforced in vLLM.
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"""
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lora_name: str
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lora_int_id: int
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lora_path: str = ""
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lora_local_path: Optional[str] = msgspec.field(default=None)
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long_lora_max_len: Optional[int] = None
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base_model_name: Optional[str] = msgspec.field(default=None)
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tensorizer_config_dict: Optional[dict] = None
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def __post_init__(self):
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if self.lora_int_id < 1:
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raise ValueError(f"id must be > 0, got {self.lora_int_id}")
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if self.lora_local_path:
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warnings.warn(
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"The 'lora_local_path' attribute is deprecated "
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"and will be removed in a future version. "
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"Please use 'lora_path' instead.",
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DeprecationWarning,
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stacklevel=2)
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if not self.lora_path:
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self.lora_path = self.lora_local_path or ""
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# Ensure lora_path is not empty
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assert self.lora_path, "lora_path cannot be empty"
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@property
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def adapter_id(self):
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return self.lora_int_id
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@property
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def name(self):
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return self.lora_name
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@property
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def path(self):
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return self.lora_path
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@property
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def local_path(self):
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warnings.warn(
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"The 'local_path' attribute is deprecated "
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"and will be removed in a future version. "
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"Please use 'path' instead.",
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DeprecationWarning,
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stacklevel=2)
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return self.lora_path
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@local_path.setter
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def local_path(self, value):
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warnings.warn(
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"The 'local_path' attribute is deprecated "
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"and will be removed in a future version. "
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"Please use 'path' instead.",
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DeprecationWarning,
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stacklevel=2)
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self.lora_path = value
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def __eq__(self, value: object) -> bool:
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"""
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Overrides the equality method to compare LoRARequest
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instances based on lora_name. This allows for identification
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and comparison lora adapter across engines.
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"""
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return isinstance(value,
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self.__class__) and self.lora_name == value.lora_name
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def __hash__(self) -> int:
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"""
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Overrides the hash method to hash LoRARequest instances
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based on lora_name. This ensures that LoRARequest instances
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can be used in hash-based collections such as sets and dictionaries,
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identified by their names across engines.
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"""
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return hash(self.lora_name)
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