code: def from_caffe2(init_net, predict_net, shape=None, dtype="float32"):
      """Load caffe2 graph which contains init_net and predict_net into Relay Function.
  
      Parameters
      ----------
      init_net : protobuf object
          Caffe2 NetDef containing the weights
  
      predict_net : protobuf object
          Caffe2 NetDef containing the graph
  
      shape : dict of str to tuple
          The input shape to the graph
  
      dtype : str or dict of str to str
          The input types to the graph
  
      Returns
      -------
      mod : tvm.IRModule
          The module that optimizations will be performed on.
  
      params : dict of str to tvm.nd.NDArray
          Dict of converted parameters stored in tvm.nd.NDArray format
      """
  
      caffe2 = Caffe2NetDef(shape, dtype)
      return caffe2.from_caffe2(init_net, predict_net)
  
imports: import tvm
  from tvm.ir import IRModule
  from ..None import analysis
  from ..None import expr
  from ..None import function
  from ..None import op
  from ...None import nd
  from .common import AttrCvt, Renamer
  from .common import get_relay_op, new_var, infer_channels
label_desc: Use image node_id 6 for calling a global function with example usage: from_caffe2(init_net, predict_net, shape, dtype) and returns: caffe2