def only_evaluate()

in core/custom_training_loop.py [0:0]


def only_evaluate(
  model: torch.nn.Module,
  optimizer: torch.optim.Optimizer,
  device: str,
  save_dir: str,
  num_train_steps: int,
  dataset: Iterable,
  eval_batch_size: int,
  num_eval_steps: int,
  eval_timeout_in_s: int,
  eval_logger: Callable,
  partition_name: str,
  metrics: Optional[tm.MetricCollection] = None,