本文整理汇总了Python中nn.base.NNBase.grad_check方法的典型用法代码示例。如果您正苦于以下问题：Python NNBase.grad_check方法的具体用法？Python NNBase.grad_check怎么用？Python NNBase.grad_check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nn.base.NNBase的用法示例。

在下文中一共展示了NNBase.grad_check方法的2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，您的评价将有助于我们的系统推荐出更棒的Python代码示例。

示例1: grad_check

# 需要导入模块: from nn.base import NNBase [as 别名]
# 或者: from nn.base.NNBase import grad_check [as 别名]
    def grad_check(self, x, y, outfd=sys.stderr, **kwargs):
        """
        Wrapper for gradient check on RNNs;
        ensures that backprop-through-time is run to completion,
        computing the full gradient for the loss as summed over
        the input sequence and predictions.

        Do not modify this function!
        """
        NNBase.grad_check(self, x, y, outfd=outfd, **kwargs)

示例2: grad_check

# 需要导入模块: from nn.base import NNBase [as 别名]
# 或者: from nn.base.NNBase import grad_check [as 别名]
 def grad_check(self, x, y, outfd=sys.stderr, **kwargs):
     """
     Wrapper for gradient check on RNNs;
     ensures that backprop-through-time is run to completion,
     computing the full gradient for the loss as summed over
     the input sequence and predictions.
     Do not modify this function!
     """
     bptt_old = self.bptt
     self.bptt = len(y)
     print >> outfd, "NOTE: temporarily setting self.bptt = len(y) = %d to compute true gradient." % self.bptt
     NNBase.grad_check(self, x, y, outfd=outfd, **kwargs)
     self.bptt = bptt_old
     print >> outfd, "Reset self.bptt = %d" % self.bptt

本文标签属性：

示例：示例英文

代码：代码转换器

Python：python菜鸟教程

NNBase：NNBase

grad_check：grad_check