class_docstr: Negative Binomial distribution output class.
code: def domain_map(cls, total_count: torch.Tensor, logits: torch.Tensor):
      total_count = cls.squareplus(total_count)
      return total_count.squeeze(-1), logits.squeeze(-1)
  
imports: from typing import Callable, Dict, Optional, Tuple
  import torch
  from torch import nn
  from torch.distributions import AffineTransform, Distribution, Independent, NegativeBinomial, Normal, StudentT, TransformedDistribution
label_desc: Use image node_id 1 for calling the NegativeBinomialOutput obj's underlying member method code with example usage: obj.domain_map(cls, total_count, logits) and returns: total_count,  logits