code: def get_model(model_name):
      model_path = find_of_download(model_name)
      onnx_model = onnx.load(model_path)
      input_names = get_onnx_input_name(onnx_model)
      input_dict = {}
      for name in input_names:
          input_dict[name] = INPUT_SHAPE  # TODO: hardcode
      mod, params = relay.frontend.from_onnx(
          onnx_model, input_dict, freeze_params=True
      )
      return mod, params, input_dict
  
file_path: tvm/tests/python/contrib/test_bnns/test_onnx_topologies.py
imports: import pytest
  import tvm
  from tvm import relay
  from tvm.relay import transform
  from tvm.contrib import utils, graph_executor
  from tvm.contrib.download import download_testdata
  from tvm.relay.op.contrib.bnns import partition_for_bnns
  import numpy
label_desc: Use image node_id 5 for calling a global function with example usage: get_model(model_name) and returns: mod,  params,  input_dict