code: def get_model(model_name, dtype):
      if "mobilenet" in model_name:
          mod, params = testing.mobilenet.get_workload(
              batch_size=1, dtype=dtype
          )
      elif "resnet" in model_name:
          mod, params = testing.resnet.get_workload(
              num_layers=50, batch_size=1, dtype=dtype
          )
      if params:
          mod["main"] = bind_params_by_name(mod["main"], params)
          mod = tvm.relay.transform.FoldConstant()(mod)
      return {
          "name": model_name,
          "input_shapes": {"data": [1, 3, 224, 224]},
          "input_dtypes": {"data": dtype},
          "mod": mod,
          "params": params,
          "main_dtype": dtype,
      }
  
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 11 for calling a global function with example usage: get_model(model_name, dtype) and returns: dict