docs: def debug_tensor(tensor, name):
      """
      Simple utility which helps with debugging.
      Takes a tensor and outputs: min, max, avg, std, number of NaNs, number of
      INFs.
  
      :param tensor: torch tensor
      :param name: name of the tensor (only for logging)
      """
      logging.info(name)
      tensor = tensor.detach().float().cpu().numpy()
      logging.info(f'MIN: {tensor.min()} MAX: {tensor.max()} '
                   f'AVG: {tensor.mean()} STD: {tensor.std()} '
                   f'NAN: {np.isnan(tensor).sum()} INF: {np.isinf(tensor).sum()}')