[ torch 参数更多 ]torch.nn.BCEWithLogitsLoss¶
torch.nn.BCEWithLogitsLoss¶
torch.nn.BCEWithLogitsLoss(weight=None,
size_average=None,
reduce=None,
reduction='mean',
pos_weight=None)
paddle.nn.BCEWithLogitsLoss¶
paddle.nn.BCEWithLogitsLoss(weight=None,
reduction='mean',
pos_weight=None,
name=None)
PyTorch 相比 Paddle 支持更多其他参数,具体如下:
参数映射¶
PyTorch | PaddlePaddle | 备注 |
---|---|---|
weight | weight | 表示每个 batch 二值交叉熵的权重。 |
size_average | - | PyTorch 已弃用,paddle 需要转写。 |
reduce | - | PyTorch 已弃用,paddle 需要转写。 |
reduction | reduction | 表示应用于输出结果的计算方式。 |
pos_weight | pos_weight | 表示正类的权重。 |
转写示例¶
size_average¶
size_average 为 True
# PyTorch 写法
torch.nn.BCEWithLogitsLoss(weight=w, size_average=True)
# Paddle 写法
paddle.nn.BCEWithLogitsLoss(weight=w, reduction='mean')
size_average 为 False
# PyTorch 写法
torch.nn.BCEWithLogitsLoss(weight=w, size_average=False)
# Paddle 写法
paddle.nn.BCEWithLogitsLoss(weight=w, reduction='sum')
reduce¶
reduce 为 True
# PyTorch 写法
torch.nn.BCEWithLogitsLoss(weight=w, reduce=True)
# Paddle 写法
paddle.nn.BCEWithLogitsLoss(weight=w, reduction='mean')
reduce 为 False
# PyTorch 写法
torch.nn.BCEWithLogitsLoss(weight=w, reduce=False)
# Paddle 写法
paddle.nn.BCEWithLogitsLoss(weight=w, reduction='none')
reduction¶
reduction 为’none’
# PyTorch 写法
torch.nn.BCEWithLogitsLoss(weight=w, reduction='none')
# Paddle 写法
paddle.nn.BCEWithLogitsLoss(weight=w, reduction='none')
reduction 为’mean’
# PyTorch 写法
torch.nn.BCEWithLogitsLoss(weight=w, reduction='mean')
# Paddle 写法
paddle.nn.BCEWithLogitsLoss(weight=w, reduction='mean')
reduction 为’sum’
# PyTorch 写法
torch.nn.BCEWithLogitsLoss(weight=w, reduction='sum')
# Paddle 写法
paddle.nn.BCEWithLogitsLoss(weight=w, reduction='sum')