torch.nn.functional.l1_loss¶
torch.nn.functional.l1_loss¶
torch.nn.functional.l1_loss(input, target, size_average=None, reduce=None, reduction='mean')
paddle.nn.functional.l1_loss¶
paddle.nn.functional.l1_loss(input, label, reduction='mean', name=None)
两者功能一致,torch 参数多,具体如下:
参数差异¶
| PyTorch | PaddlePaddle | 备注 | | ————- | ———— | —————————————————— | | target | label | 表示输入的 Tensor | | size_average | - | 已废弃,和 reduce 组合决定损失计算方式 | | reduce | - | 已废弃,和 size_average 组合决定损失计算方式 |
转写示例¶
# Pytorch 的 size_average、reduce 参数转为 Paddle 的 reduction 参数
if size_average is None:
size_average = True
if reduce is None:
reduce = True
if size_average and reduce:
reduction = 'mean'
elif reduce:
reduction = 'sum'
else:
reduction = 'none'