torch.nn.init.calculate_gain torch.nn.init.calculate_gain(nonlinearity,param=None) 返回给定非线性函数的推荐增益值。 要实现自归一化神经网络,应使用 nonlinearity='linear' 而不是 nonlinearity='selu'。这将使初始权重具有 1 / N 的方差,这对于在前向传递中诱导一个稳定的固定点是必要的。相比之下,SELU ...
# 需要导入模块: from torch.nn import init [as 别名]# 或者: from torch.nn.init importcalculate_gain[as 别名]defreset_parameters(self):# init real weightfan_in, _ = nn.init._calculate_fan_in_and_fan_out(self.A)# init Again =calculate_gain('leaky_relu',0) std = gain / np.sqrt(...
init.gain was renamed to calculate_gain some time ago, the docs were not updated to reflect this. Sorry, something went wrong. fix example in docs for nn.init.calculate_gain a5f0b3e soumith merged commit f0f7b39 into pytorch:master Sep 2, 2017 ezyang added the open source label Jun...
Digitaloctopus/Orange pour out WAP wine menu.(Wine retail direct marketers stand will gain customer data following a joint initiative from interactive media groups, digitaloctopus and Orange)(Brief Article)Green, Danielle