[ torch 参数更多 ]torch.nn.BCELoss

torch.nn.BCELoss

torch.nn.BCELoss(weight=None,
                 size_average=None,
                 reduce=None,
                 reduction='mean')

paddle.nn.BCELoss

paddle.nn.BCELoss(weight=None,
                  reduction='mean',
                  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。

转写示例

size_average

size_average 为 True

# PyTorch 写法
torch.nn.BCELoss(weight=w, size_average=True)

# Paddle 写法
paddle.nn.BCELoss(weight=w, reduction='mean')

size_average 为 False

# PyTorch 写法
torch.nn.BCELoss(weight=w, size_average=False)

# Paddle 写法
paddle.nn.BCELoss(weight=w, reduction='sum')

reduce

reduce 为 True

# PyTorch 写法
torch.nn.BCELoss(weight=w, reduce=True)

# Paddle 写法
paddle.nn.BCELoss(weight=w, reduction='mean')

reduce 为 False

# PyTorch 写法
torch.nn.BCELoss(weight=w, reduce=False)

# Paddle 写法
paddle.nn.BCELoss(weight=w, reduction='none')

reduction

reduction 为'none'

# PyTorch 写法
torch.nn.BCELoss(weight=w, reduction='none')

# Paddle 写法
paddle.nn.BCELoss(weight=w, reduction='none')

reduction 为'mean'

# PyTorch 写法
torch.nn.BCELoss(weight=w, reduction='mean')

# Paddle 写法
paddle.nn.BCELoss(weight=w, reduction='mean')

reduction 为'sum'

# PyTorch 写法
torch.nn.BCELoss(weight=w, reduction='sum')

# Paddle 写法
paddle.nn.BCELoss(weight=w, reduction='sum')