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"], CUDA, TUNING_LOG)
      with optional_tuning_records(TUNING_LOG):
          dev = tvm.device(CUDA.get_target_device_type())
          compile_and_benchmark("just_tvm", model, CUDA, dev, tmp_dir)
  
imports: import tvm
  import logging
  import tempfile
  import os
  import shutil
  import menangerie
  from tvm.relay.op.contrib.cutlass import partition_for_cutlass
  from tvm.contrib.cutlass import num_cutlass_partitions
  from tvm.relay.op.contrib.cublas import partition_for_cublas
  from tvm.relay.op.contrib.cudnn import partition_for_cudnn
label_desc: Use image node_id 10 for calling a global function with example usage: just_tvm(model) without return types