Python model.sequence_loss_fn方法代碼示例

本文整理匯總了Python中model.sequence_loss_fn方法的典型用法代碼示例。如果您正苦於以下問題：Python model.sequence_loss_fn方法的具體用法？Python model.sequence_loss_fn怎麽用？Python model.sequence_loss_fn使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類model的用法示例。

在下文中一共展示了model.sequence_loss_fn方法的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。

示例1: test_sequence_loss_function_without_label_smoothing

# 需要導入模塊: import model [as 別名]
# 或者: from model import sequence_loss_fn [as 別名]
def test_sequence_loss_function_without_label_smoothing(self):
    model = self.create_model()
    model.set_mparam('sequence_loss_fn', label_smoothing=0)

    loss = model.sequence_loss_fn(self.fake_logits, self.fake_labels)
    with self.test_session() as sess:
      loss_np = sess.run(loss)

    # This test checks that the loss function is 'runnable'.
    self.assertEqual(loss_np.shape, tuple()) 

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