class_docstr: An error-collecting object which supports error recovery.
  
  It is intended to be used like a context manager:
  
  >>> with Errors("Top-level error message") as errs:
  >>>     ...
class_docstr_tok: ["An","error-collecting","object","which","supports","error","recovery",".","It","is","intended","to","be","used","like","a","context","manager",":",">",">",">","with","Errors","(","``","Top-level","error","message","''",")","as","errs",":",">",">",">","..."]
code: def __init__(self, msg, rtol=1e-3, atol=1e-5):
      self.msg = msg
      self.errors = []
      self.context = []
      self.rtol = rtol
      self.atol = atol
  
      # Allocated upon instance creation so that multiple Errors
      # can be used
      class ShortCircuit(Exception):
          pass
  
      self.exc_class = ShortCircuit
  
imports: import difflib
  import io
  import numpy
  import onnx
  import onnx.helper
  import torch
  import torch.jit
  import torch.onnx
label_desc: Use image node_id 1 to create a new Errors object  with example: obj = Errors(msg, rtol, atol)