def l2_loss(t, name=None):
"""
Computes half the L2 norm of a tensor without the sqrt:
output = sum(t ** 2) / 2
Args:
t: A Tensor. Typically 2-D, but may have any dimensions.
name: Optional name for the operation.
Returns:
A Tensor. Has the same type as t. 0-D.
"""
return (ops.Reduce(ops.Square(t), operation='SUM') * 0.5)
def LayerSetup(self, bottom):
return _ops.Reduce(bottom, **self.arguments)
def l2_loss(t, name=None):
return (ops.Reduce(ops.Square(t), operation='SUM') * 0.5)
def Setup(self, bottom):
super(ReductionLayer, self).Setup(bottom)
input = bottom[0] if isinstance(bottom, list) else bottom
return ops.Reduce(input, **self._param)