AttributeError: 'collections.OrderedDict' object 沒有屬性 'train'

Question

with summary_writer.as_default():
  for round_num in range(1, NUM_ROUNDS):
    state, metrics = iterative_process.next(state, federated_train_data)
    # for name, value in metrics.train._asdict().items():
    tf.summary.scalar('metrics', metrics.train._asdict().itrems(), step=round_num)

我只是被困在這里。 我收到如下錯誤消息： AttributeError: 'collections.OrderedDict' object has no attribute 'train'指標如下所示：

metrics=OrderedDict([('broadcast', ()), ('aggregation', ()), ('train', OrderedDict([('sparse_categorical_accuracy', 0.12695473), ('loss', 3.0522373)]))])

任何幫助將不勝感激。

Answer 1

好像

metrics.train._asdict().itrems()

應該

metrics['train'].items()