nn.TripletMarginWithDistanceLoss(*, distance_function=None, margin=1.0, swap=False, reduction='mean') 参数: distance_function(可调用的,可选的) -量化两个张量的接近度的非负实值函数。如果未指定,将使用nn.PairwiseDistance。默认值:None margin(float,可选的) -一个非负边距,表示损失为 0 所需的...
self.assertTrue(gradcheck(lambda a, p, n: F.triplet_margin_with_distance_loss( a, p, n, **kwargs), (anchor, positive, negative))) self.assertTrue(gradcheck(lambda a, p, n: loss_op(a, p, n), (anchor, positive, negative))) @onlyOnCPUAndCUDA def test_triplet_margin_with_distanc...
本文簡要介紹python語言中 torch.nn.TripletMarginWithDistanceLoss 的用法。 用法: class torch.nn.TripletMarginWithDistanceLoss(*, distance_function=None, margin=1.0, swap=False, reduction='mean') 參數: distance_function(可調用的,可選的) -量化兩個張量的接近度的非負實值函數。如果未指定,將使用nn....
@@ -269,6 +269,7 @@ Loss Functions nn.CosineEmbeddingLoss nn.MultiMarginLoss nn.TripletMarginLoss nn.TripletMarginLossWithDistance Vision Layers --- 161 changes: 161 additions & 0 deletions 161 test/test_nn.py @@ -6513,6 +6513,167 @@ def test_triplet_margin_loss_swap_no_reduce(...