本文整理汇总了Python中maskrcnn_benchmark._C.sigmoid_focalloss_forward方法的典型用法代码示例。如果您正苦于以下问题：Python _C.sigmoid_focalloss_forward方法的具体用法？Python _C.sigmoid_focalloss_forward怎么用？Python _C.sigmoid_focalloss_forward使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类maskrcnn_benchmark._C的用法示例。
在下文中一共展示了_C.sigmoid_focalloss_forward方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: forward
# 需要导入模块: from maskrcnn_benchmark import _C [as 别名]
# 或者: from maskrcnn_benchmark._C import sigmoid_focalloss_forward [as 别名]
def forward(ctx, logits, targets, gamma, alpha):
ctx.save_for_backward(logits, targets)
num_classes = logits.shape[1]
ctx.num_classes = num_classes
ctx.gamma = gamma
ctx.alpha = alpha
losses = _C.sigmoid_focalloss_forward(
logits, targets, num_classes, gamma, alpha
)
return losses 示例2: forward
# 需要导入模块: from maskrcnn_benchmark import _C [as 别名]
# 或者: from maskrcnn_benchmark._C import sigmoid_focalloss_forward [as 别名]
def forward(ctx, logits, targets, num_classes, gamma, alpha):
ctx.save_for_backward(logits, targets);
ctx.num_classes = num_classes
ctx.gamma = gamma
ctx.alpha = alpha
losses = _C.sigmoid_focalloss_forward(
logits, targets, num_classes, gamma, alpha
)
return losses 示例3: forward
# 需要导入模块: from maskrcnn_benchmark import _C [as 别名]
# 或者: from maskrcnn_benchmark._C import sigmoid_focalloss_forward [as 别名]
def forward(ctx, logits, targets, gamma, alpha):
ctx.save_for_backward(logits, targets)
num_classes = logits.shape[1]
ctx.num_classes = num_classes
ctx.gamma = gamma
ctx.alpha = alpha
losses = _C.sigmoid_focalloss_forward(
logits, targets, num_classes, gamma, alpha
)
return losses