chore: remove support for llmapi + TRT backend in Triton

triton_backend/all_models/llmapi/tensorrt_llm/1/model.py

@@ -42,9 +42,7 @@
 from mpi4py.futures import MPICommExecutor
 from mpi4py.MPI import COMM_WORLD
 
-from tensorrt_llm import LLM as PyTorchLLM
-from tensorrt_llm import SamplingParams
-from tensorrt_llm._tensorrt_engine import LLM
+from tensorrt_llm import LLM, SamplingParams
 from tensorrt_llm._utils import global_mpi_rank, global_mpi_size
 from tensorrt_llm.llmapi.llm_utils import update_llm_args_with_extra_dict
 
@@ -200,15 +198,8 @@ async def async_llm_wrapper():
  # Create LLM in a thread to avoid blocking
  loop = asyncio.get_running_loop()
  try:
- backend = self.llm_engine_args.get("backend", None)
- # Update LLM engine args with disaggregated config if present
- if backend == "pytorch":
- llm = await loop.run_in_executor(
- None, lambda: PyTorchLLM(**self.llm_engine_args))
- else:
- self.llm_engine_args["pytorch_backend_config"] = None
- llm = await loop.run_in_executor(
- None, lambda: LLM(**self.llm_engine_args))
+ llm = await loop.run_in_executor(
+ None, lambda: LLM(**self.llm_engine_args))
  yield llm
  finally:
  if 'llm' in locals():