class_docstr: Base class for ONNX exportable model describing metadata on how to export the model through the ONNX format.
docstr: What absolute tolerance value to use during model conversion validation.
  
  Returns:
      Float absolute tolerance value.
docstr_tok: ["What","absolute","tolerance","value","to","use","during","model","conversion","validation",".","Returns",":","Float","absolute","tolerance","value","."]
code: def atol_for_validation(self) -> float:
      """
      What absolute tolerance value to use during model conversion validation.
  
      Returns:
          Float absolute tolerance value.
      """
      return 1e-5
  
imports: import copy
  import dataclasses
  import warnings
  from abc import ABC, abstractmethod
  from collections import OrderedDict
  from typing import TYPE_CHECKING, Any, Callable, Dict, Iterable, List, Mapping, Optional, Tuple, Union
  import numpy
  from packaging import version
  from ..utils import TensorType, is_torch_available, is_vision_available, logging
  from .utils import ParameterFormat, compute_effective_axis_dimension, compute_serialized_parameters_size
label_desc: Use image node_id 10 for calling the OnnxConfig obj's underlying member method code with example usage: obj.atol_for_validation() and returns: int