class_docstr: Import tensorflow lite model to nnp model.
      
class_docstr_tok: ["Import","tensorflow","lite","model","to","nnp","model","."]
code: def execute(self):
      with open(self._file_path, "rb") as f:
          data = f.read()
          tflite_model = tflite.Model.GetRootAsModel(data, 0)
  
      model = tflite2onnx.model.Model(tflite_model)
      model.convert(dict())
      onnx_importer = OnnxImporter()
      onnx_importer.import_from_onnx_model(model.onnx)
      return onnx_importer.execute()
  
imports: from ..onnx import OnnxImporter
  import tflite
  import tflite2onnx
label_desc: Use image node_id 2 for calling the TFLiteImporter obj's underlying member method code with example usage: obj.execute() and returns: onnx_importer