update

vllm/lora/request.py

@@ -0,0 +1,66 @@
+# SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
+
+
+import msgspec
+
+
+class LoRARequest(
+    msgspec.Struct,
+    omit_defaults=True,  # type: ignore[call-arg]
+    array_like=True,
+):  # type: ignore[call-arg]
+    """
+    Request for a LoRA adapter.
+
+    lora_int_id must be globally unique for a given adapter.
+    This is currently not enforced in vLLM.
+
+    load_inplace: If True, forces reloading the adapter even if one
+        with the same lora_int_id already exists in the cache. This replaces
+        the existing adapter in-place. If False (default), only loads if the
+        adapter is not already loaded.
+    """
+
+    lora_name: str
+    lora_int_id: int
+    lora_path: str = ""
+    base_model_name: str | None = msgspec.field(default=None)
+    tensorizer_config_dict: dict | None = None
+    load_inplace: bool = False
+
+    def __post_init__(self):
+        if self.lora_int_id < 1:
+            raise ValueError(f"id must be > 0, got {self.lora_int_id}")
+
+        # Ensure lora_path is not empty
+        assert self.lora_path, "lora_path cannot be empty"
+
+    @property
+    def adapter_id(self):
+        return self.lora_int_id
+
+    @property
+    def name(self):
+        return self.lora_name
+
+    @property
+    def path(self):
+        return self.lora_path
+
+    def __eq__(self, value: object) -> bool:
+        """
+        Overrides the equality method to compare LoRARequest
+        instances based on lora_name. This allows for identification
+        and comparison lora adapter across engines.
+        """
+        return isinstance(value, self.__class__) and self.lora_name == value.lora_name
+
+    def __hash__(self) -> int:
+        """
+        Overrides the hash method to hash LoRARequest instances
+        based on lora_name. This ensures that LoRARequest instances
+        can be used in hash-based collections such as sets and dictionaries,
+        identified by their names across engines.
+        """
+        return hash(self.lora_name)