class_docstr: Stores the return value of a callback in a TensorBoard.
class_docstr_tok: ["Stores","the","return","value","of","a","callback","in","a","TensorBoard","."]
code: def run(self, **kwargs: Any) -> None:
      tf.summary.scalar(
          self.name, self.callback(**kwargs), step=self.current_step
      )
  
imports: from io import BytesIO
  from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional, Union
  import numpy
  import tensorflow
  from ..base import AnyNDArray, Parameter
  from ..models import BayesianModel
  from ..utilities import parameter_dict
  from .base import MonitorTask
label_desc: Use image node_id 2 for calling the ScalarToTensorBoard obj's underlying member method code with example usage: obj.run() without return types