class_docstr: TensorFlow frontend for TVMC
class_docstr_tok: ["TensorFlow","frontend","for","TVMC"]
code: def load(self, path, shape_dict=None, **kwargs):
      tf = lazy_import("tensorflow")
      tf_testing = lazy_import("tvm.relay.testing.tf")
  
      with tf.io.gfile.GFile(path, "rb") as tf_graph:
          content = tf_graph.read()
  
      graph_def = tf.compat.v1.GraphDef()
      graph_def.ParseFromString(content)
      graph_def = tf_testing.ProcessGraphDefParam(graph_def)
  
      logger.debug(
          "parse TensorFlow model and convert into Relay computation graph"
      )
      return relay.frontend.from_tensorflow(
          graph_def, shape=shape_dict, **kwargs
      )
  
imports: import logging
  import os
  import sys
  import re
  import importlib
  from abc import ABC
  from abc import abstractmethod
  from typing import Optional, List, Dict
  from pathlib import Path
  import numpy
  from tvm import relay
  from tvm import parser
  from tvm.driver.tvmc import TVMCException, TVMCImportError
  from tvm.driver.tvmc.model import TVMCModel
label_desc: Use image node_id 3 for calling the TensorflowFrontend obj's underlying member method code with example usage: obj.load(path, shape_dict) and returns: relay