class_docstr: Creates TFLite Model and facilitates reference data generation
class_docstr_tok: ["Creates","TFLite","Model","and","facilitates","reference","data","generation"]
docstr: Load tflite model from a tflite file
docstr_tok: ["Load","tflite","model","from","a","tflite","file"]
code: def load_from_file(self, model_file, shapes):
      """Load tflite model from a tflite file"""
      for i, shape in enumerate(shapes):
          input_name = "input_" + str(i)
          self.shape_dict.update({input_name: shape})
          self.dtype_dict.update({input_name: self.dtype})
  
      with open(model_file, "rb") as f:
          self.serial_model = f.read()
  
file_path: tvm/python/tvm/relay/testing/tflite.py
imports: from distutils.version import LooseVersion
  import numpy
  import pytest
  import tflite.Model
  import tensorflow
  import tvm
label_desc: Use image node_id 3 for calling the TFLiteModel obj's underlying member method code with example usage: obj.load_from_file(model_file, shapes) without return types