code: def just_tvm(model):
      """Compile and profile using vanilla TVM."""
      logging.info(f"just_tvm | {model['name']}")
      logging.info("-------------- BEGIN ORIGINAL --------------")
      logging.info(model["mod"])
      logging.info("-------------- END ORIGINAL ----------------")
      tmp_dir = tempfile.mkdtemp()
      autotvm_tune_module(model["mod"], OPENCL, TUNING_LOG)
      with optional_tuning_records(TUNING_LOG):
          with tvm.transform.PassContext(
              opt_level=3, disabled_pass=["AlterOpLayout"]
          ):
              compile_and_benchmark("just_tvm", model, OPENCL, tmp_dir)
  
imports: import tvm
  import logging
  import tempfile
  import os
  import shutil
  import numpy
  from tvm.relay import testing
  from tvm import rpc
  from tvm.contrib import utils, ndk
  from tvm.relay.build_module import bind_params_by_name
  from tvm.relay.collage.collage import *
  from tvm.relay.op.contrib import clml
  import pytest
label_desc: Use image node_id 10 for calling a global function with example usage: just_tvm(model) without return types