vllm-project · simon-mo · Sep 17, 2025 · Sep 17, 2025 · Sep 17, 2025 · Sep 17, 2025
diff --git a/pyproject.toml b/pyproject.toml
@@ -115,7 +115,6 @@ follow_imports = "silent"
 # move the directory here and remove it from tools/mypy.sh
 files = [
     "vllm/*.py",
-    "vllm/adapter_commons",
     "vllm/assets",
     "vllm/entrypoints",
     "vllm/core",

diff --git a/vllm/adapter_commons/__init__.py b/vllm/adapter_commons/__init__.py
diff --git a/vllm/adapter_commons/layers.py b/vllm/adapter_commons/layers.py
diff --git a/vllm/adapter_commons/models.py b/vllm/adapter_commons/models.py
diff --git a/vllm/adapter_commons/request.py b/vllm/adapter_commons/request.py
diff --git a/vllm/adapter_commons/utils.py b/vllm/adapter_commons/utils.py
diff --git a/vllm/adapter_commons/worker_manager.py b/vllm/adapter_commons/worker_manager.py
@@ -1,17 +1,22 @@
 # SPDX-License-Identifier: Apache-2.0
 # SPDX-FileCopyrightText: Copyright contributors to the vLLM project
+
 from dataclasses import dataclass
 
 import torch
 import torch.nn as nn
 
-from vllm.adapter_commons.layers import AdapterMapping
-
 
 @dataclass
-class LoRAMapping(AdapterMapping):
+class LoRAMapping:
+    index_mapping: tuple[int, ...]
+    prompt_mapping: tuple[int, ...]
     is_prefill: bool = False
 
+    def __post_init__(self):
+        self.index_mapping = tuple(self.index_mapping)
+        self.prompt_mapping = tuple(self.prompt_mapping)
+
 
 def _get_lora_device(base_layer: nn.Module) -> torch.device:
     # code borrowed from https://github.com/fmmoret/vllm/blob/fm-support-lora-on-quantized-models/vllm/lora/layers.py#L34