init.xavier_normal_(m.weight.data, gain=gain)elifinit_type =='kaiming': init.kaiming_normal_(m.weight.data, a=0, mode='fan_in')#good for reluelifinit_type =='orthogonal': init.orthogonal_(m.weight.data, gain=gain)else:raiseNotImplementedError('initialization method [%s] is not implemen...
# 需要导入模块: from torch.nn import init [as 别名]# 或者: from torch.nn.init importconstant_[as 别名]definit_weights(net, init_type, init_gain):definit_func(m):classname = m.__class__.__name__ifhasattr(m,'weight')and(classname.find('Conv') !=-1orclassname.find('Linear') !=...
torch.nn.init.xavier_normal(tensor, gain=1) 根据Glorot, X.和Bengio, Y. 于2010年在"理解难度训练深前馈神经网络"中描述的方法,采用正态分布,填充张量或变量。结果张量中的值采样自均值为0,标准差为gain * sqrt(2/(fan_in + fan_out))的正态分布。该方法也被称为glorot的初始化。
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 ...
kaiming初始化要求weights满足:1. mean为0;2. std为 \sqrt{2/fan_{in}}关键代码都在红框内: 调用_calculate_correct_fan计算fan_in接着再调用,fan_in = in_channel x kernel_size x kernel_size 2. 计算gain值…
torch.nn.init.xavier_normal_(tensor, gain=1)正态分布~N(0,std) 其中std的计算公式: 5. kaiming (He initialization) Xavier在tanh中表现的很好,但在Relu激活函数中表现的很差,所何凯明提出了针对于Relu的初始化方法。 Delving deep into rectifiers: Surpassing human-level performance on ImageNet classificati...
torch.nn.init.calculate_gain(nonlinearity, param=None) 1. 返回给定非线性函数的推荐的增益值。对应关系如下表: 参数: nonlinearity– 非线性函数 (nn.functional中的名字) param– 对应非线性函数的可选参数 例子 >>> gain = nn.init.calculate_gain('leaky_relu') ...
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setFocusGain getMap setMap com.huawei.managementsdk.launcher Overview Class AppTransManager getInstance registerAppInfoChangeListener unregisterAppInfoChangeListener isRemoteSupport Interface AppInfoChangeListener onLoadAllAppInfo onAppInfoAdd onAppInfoRemove onAppInfoUpdate 设备接口 ...
在做一个小系统的时候,居然发现了一个问题,之前一直没有重视。代码如下: privatevoidPage_Init(objectsender, System.EventArgs e) { //初始化viewstate if( Request.QueryString["id"]!=null&&Request.QueryString["id"].ToString()!="") { this.ViewState["fid"]=Request.QueryString["id"].ToString(); ...