[Core] Rename input data types (#8688)

vllm/engine/llm_engine.py

@@ -29,8 +29,8 @@ from vllm.entrypoints.openai.logits_processors import get_logits_processors
 from vllm.executor.executor_base import ExecutorBase
 from vllm.executor.gpu_executor import GPUExecutor
 from vllm.executor.ray_utils import initialize_ray_cluster
-from vllm.inputs import (INPUT_REGISTRY, EncoderDecoderLLMInputs,
-                         InputRegistry, LLMInputs, PromptType)
+from vllm.inputs import (INPUT_REGISTRY, DecoderOnlyInputs,
+                         EncoderDecoderInputs, InputRegistry, PromptType)
 from vllm.inputs.preprocess import InputPreprocessor
 from vllm.logger import init_logger
 from vllm.lora.request import LoRARequest
@@ -635,7 +635,7 @@ class LLMEngine:
     def _add_processed_request(
         self,
         request_id: str,
-        processed_inputs: Union[LLMInputs, EncoderDecoderLLMInputs],
+        processed_inputs: Union[DecoderOnlyInputs, EncoderDecoderInputs],
         params: Union[SamplingParams, PoolingParams],
         arrival_time: float,
         lora_request: Optional[LoRARequest],
@@ -1855,8 +1855,8 @@ class LLMEngine:
     def is_embedding_model(self):
         return self.model_config.is_embedding_model
 
-    def _validate_model_inputs(self, inputs: Union[LLMInputs,
-                                                   EncoderDecoderLLMInputs]):
+    def _validate_model_inputs(self, inputs: Union[DecoderOnlyInputs,
+                                                   EncoderDecoderInputs]):
         if self.model_config.is_multimodal_model:
             # For encoder-decoder multimodal models, the max_prompt_len
             # restricts the decoder prompt length