Fix a few naming issues

Signed-off-by: Thomas Parnell <[email protected]>

Author: tdoublep

vllm/lora/utils.py

@@ -71,7 +71,7 @@ def from_layer(layer: nn.Module,
                                       packed_modules_list=packed_modules_list,
                                       model_config=model_config):
             # inject a-LoRA behaviour
-            if lora_config.activated_lora_enabled:
+            if lora_config.enable_activated_lora:
                 lora_cls = LinearLayerWithActivatedLoRAMixin.maybe_mixin(
                     lora_cls)
             instance_layer = lora_cls(layer)

vllm/model_executor/layers/linear.py

@@ -243,7 +243,7 @@ def __init__(
 
         vllm_config = get_current_vllm_config()
         if (vllm_config.lora_config
-                and vllm_config.lora_config.activated_lora_enabled):
+                and vllm_config.lora_config.enable_activated_lora):
             # lets torch.compile know that forward_context needs to be
             # considered as an input to the layer (copied from attention)
             compilation_config = vllm_config.compilation_config

vllm/v1/engine/processor.py

@@ -425,7 +425,7 @@ def process_inputs(
                         mm_position=decoder_mm_positions[modality][idx]))
 
         # Handle aLoRA invocation sequence if applicable.
-        if (self.lora_config and self.lora_config.activated_lora_enabled
+        if (self.lora_config and self.lora_config.enable_activated_lora
                 and lora_request is not None):
 
             text_config = self.model_config.hf_config.get_text_config()

vllm/v1/worker/gpu_model_runner.py

@@ -329,7 +329,7 @@ def __init__(
         self.num_accepted_tokens = self._make_buffer(self.max_num_reqs,
                                                      dtype=torch.int64)
 
-        if self.lora_config and self.lora_config.activated_lora_enabled:
+        if self.lora_config and self.lora_config.enable_activated_lora:
             self.mask1d = torch.zeros(self.max_num_tokens,
                                       dtype=torch.int64,
                                       device=self.device)
@@ -1101,7 +1101,7 @@ def _prepare_inputs(
 
         # Compute aLoRA metadata
         alora_metadata = None
-        if self.lora_config and self.lora_config.activated_lora_enabled:
+        if self.lora_config and self.lora_config.enable_activated_lora:
             alora_metadata = self.build_alora_metadata(
                 num_reqs, positions_np, req_indices,
                 total_num_scheduled_tokens, self.input_batch, self.requests,
@@ -2816,7 +2816,7 @@ def _dummy_run(
                     f"Expected {_cg_mode}, but got {cudagraph_runtime_mode}.")
 
             alora_metadata = None
-            if self.lora_config and self.lora_config.activated_lora_enabled:
+            if self.lora_config and self.lora_config.enable_activated_lora:
                 alora_metadata = self.build_dummy_alora_metadata(
                     num_tokens, self.mask1d)