class_docstr: Mixin class for applying the R3F method, to apply R3F with any model
  inherit the class and implement the abstract functions.
  
  For more details: https://arxiv.org/abs/2008.03156
class_docstr_tok: ["Mixin","class","for","applying","the","R3F","method",",","to","apply","R3F","with","any","model","inherit","the","class","and","implement","the","abstract","functions",".","For","more","details",":","https",":","\/\/arxiv.org\/abs\/2008.03156"]
docstr: Gets the sample size of the model that is used as a regularization
  factor to the model itself
docstr_tok: ["Gets","the","sample","size","of","the","model","that","is","used","as","a","regularization","factor","to","the","model","itself"]
code: def get_sample_size(self, model_inputs, targets):
      """
      Gets the sample size of the model that is used as a regularization
      factor to the model itself
      """
      raise NotImplementedError()
  
imports: from contextlib import AbstractContextManager
  from enum import Enum
  from typing import Dict
  import torch
  import torch.nn.functional
  from pytext.common.constants import Stage
  from pytext.config import ConfigBase
  from pytext.utils.precision import maybe_float
label_desc: Use image node_id 5 for calling the R3FPyTextMixin obj's underlying member method code with example usage: obj.get_sample_size(model_inputs, targets) without return types