[ 仅参数名不一致 ] torch.nn.functional.triplet_margin_with_distance_loss¶
torch.nn.functional.triplet_margin_with_distance_loss¶
torch.nn.functional.triplet_margin_with_distance_loss(anchor,
positive,
negative, *,
distance_function=None,
margin=1.0,
swap=False,
reduction='mean')
paddle.nn.functional.triplet_margin_with_distance_loss¶
paddle.nn.functional.triplet_margin_with_distance_loss(input,
positive,
negative,
distance_function=None,
margin: float = 1.0,
swap: bool = False,
reduction: str = 'mean',
name: str = None)
两者功能一致,仅参数名不一致,具体如下:
参数映射¶
| PyTorch | PaddlePaddle | 备注 | | ————- | ———— | —————————————————— | | anchor | input | 输入 Tensor,仅参数名不一致。 | | positive | positive | 输入正样本 | | negative | negative | 输入负样本 | | distance_function | distance_function | 指定两个张量距离的函数 | | margin | margin | 手动指定间距 | | swap | swap | 是否进行交换 | | reduction | reduction | 表示应用于输出结果的规约方式,可选值有:’none’, ‘mean’, ‘sum’ |