class_docstr: Import tensorflow model to nnp model.
      
class_docstr_tok: ["Import","tensorflow","model","to","nnp","model","."]
code: def __init__(self, *args, **kwargs):
      self._tf_file = args[0]
      self._tf_format = kwargs.get("tf_format")
      self._outputs = kwargs.get("outputs")
      self._inputs = kwargs.get("inputs")
  
file_path: nnabla/python/src/nnabla/utils/converter/tensorflow/importer.py
imports: import os
  import tensorflow
  import tflite
  import tflite2onnx
  from tensorflow.core.framework import graph_pb2
  from tensorflow.python.tools import freeze_graph
  from tf2onnx import constants, tf_loader, optimizer
  from tf2onnx.tfonnx import process_tf_graph
  from .common import find_out_terminal_node
  from ..onnx import OnnxImporter
label_desc: Use image node_id 1 to create a new TensorflowImporter object  with example: obj = TensorflowImporter()