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-4
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/src/transformers/models/longformer/configuration_longformer.py
imports: from collections import OrderedDict
  from typing import TYPE_CHECKING, Any, List, Mapping, Optional, Union
  from ...configuration_utils import PretrainedConfig
  from ...onnx import OnnxConfig
  from ...utils import TensorType, logging
label_desc: Use image node_id 4 for calling the LongformerOnnxConfig obj's underlying member method code with example usage: obj.atol_for_validation() and returns: int