class_docstr: To handle errors and addition of custom layers
class_docstr_tok: ["To","handle","errors","and","addition","of","custom","layers"]
code: def __init__(
      self,
      add_custom_layers=False,  # type: bool
      custom_conversion_functions=dict(),  # type: Dict[Text, Any]
      custom_layer_nodes=[],  # type : List[Node]
  ):
      # type: (...) -> None
      self.add_custom_layers = add_custom_layers
      self.custom_conversion_functions = custom_conversion_functions
      self.custom_layer_nodes = custom_layer_nodes
  
      self.rerun_suggestion = (
          "\n Please try converting with higher minimum_ios_deployment_target.\n"
          "You can also provide custom function/layer to convert the model."
      )
  
file_path: turicreate/src/external/coremltools_wrap/coremltools/coremltools/converters/onnx/_error_utils.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from typing import Dict, Text, Any, Callable
  from coremltools.models.neural_network import NeuralNetworkBuilder
  from ._graph import Node, Graph
label_desc: Use image node_id 1 to create a new ErrorHandling object from inherited base classes: object with example: obj = ErrorHandling(add_custom_layers, custom_conversion_functions, custom_layer_nodes)