[ 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')