code: def _get_tflite_model(tflite_model_path, inputs_dict, dtype):
      with open(tflite_model_path, "rb") as f:
          tflite_model_buffer = f.read()
  
      tflite_model = tflite.Model.Model.GetRootAsModel(
          tflite_model_buffer, 0
      )
      shape_dict = {}
      dtype_dict = {}
      for value in inputs_dict:
          input_shape = inputs_dict[value]
          shape_dict[value] = input_shape
          dtype_dict[value] = dtype
  
      return relay.frontend.from_tflite(
          tflite_model,
          shape_dict=shape_dict,
          dtype_dict=dtype_dict,
      )
  
file_path: tvm/tests/python/contrib/test_ethosn/test_networks.py
imports: import pytest
  import tflite.Model
  from tvm import relay
  from tvm.testing import requires_ethosn
  from tvm.contrib import download
  import tvm.relay.testing.tf
  from .None import infrastructure
label_desc: Use image node_id 1 for calling a global function with example usage: _get_tflite_model(tflite_model_path, inputs_dict, dtype) and returns: relay