code: def run_module(
      mod: tvm.runtime.Module, mod_params: Dict[str, Any]
  ) -> List:
      dev = tvm.device("llvm", 0)
      result = relay.create_executor(
          "debug", mod, device=dev, target="llvm"
      ).evaluate()(**mod_params)
      if isinstance(result, tvm.runtime.container.ADT):
          result = [r.numpy() for r in result]
          return result
      else:
          return [result.numpy()]
  
imports: from typing import Any, Dict, List
  import numpy
  import pytest
  import tvm
  from tvm import relay
  from tvm.relay.testing import lstm
  from tvm.relay.transform import InferType, ToMixedPrecision, mixed_precision
label_desc: Use image node_id 1 for calling a global function with example usage: run_module(mod, mod_params) and returns: result, list