class_docstr: Use or extend this class to configure model hyper parameters that cannot be predetermined. E.g.
  a model input size that depends on the data set composition.
code: def __init__(self):
      self.input_dim: int = None
      self.output_dim: int = None
  
imports: import torch.nn
  from transfer_nlp.plugins.config import register_plugin
label_desc: Use image node_id 1 to create a new ObjectHyperParams object  with example: obj = ObjectHyperParams()