确认torch.nn.init模块中是否存在trunc_normal_属性: 在某些 PyTorch 版本中,torch.nn.init 确实没有 trunc_normal_ 这个属性。这是因为 trunc_normal_ 是后来才添加到 PyTorch 中的,用于初始化张量,使其符合截断正态分布。 查找PyTorch官方文档或相关资源: 根据PyTorch 的官方文档,trunc_normal_ 是用于初始化...
Hi, guys, I see there is a method of torch.nn.init.trunc_normal_(), but I do not find the description of it in the documentation. So is there a description for this torch.nn.init.trunc_normal_()? I am a little confused. Suggest a potential alternative/fix No responseContributor...
trunc_normalw = torch.empty(3, 5) torch_init.trunc_normal_(w) 复制tensor([[ 0.0626, 0.5258, 0.7458, -0.1970, 1.2821], [ 0.2344, 0.5350, 0.4402, 0.2152, 1.0044], [ 0.3880, -0.1332, 0.6127, 0.9253, 1.5593]]) 复制w = ms_init.initializer(ms_init.TruncatedNormal(1), (3,5)) print...
self.ReLU=nn.ReLU(inplace=True) self.apply(self._init_weights) @staticmethod def_init_weights(m): ifisinstance(m,nn.Linear): trunc_normal_(m.weight,std=.02) ifm.biasisnotNone: nn.init.constant_(m.bias,0) elifisinstance(m,nn.Conv2d): fan_out=m.kernel_size[0]*m.kernel_size[1]*...
head_dim, bias=False) self.wo = nn.Linear( model_args.n_heads * self.head_dim, model_args.dim, bias=False )def init_weights(self, init_std: float): for linear in (self.wq, self.wk, self.wv): nn.init.trunc_normal_(linear.weight, mean=0.0, std=0.02)...
torch.nn.init.kaiming_normal_(w3) 8.3 利用自带的全连接层进行测试 nn.Linear(in, out) : 全连接层 能用relu的地方要用relu,除非RGB像素重建 inplace的操作,会节省内存 类风格和函数风格调用 类风格中的参数都封装起来了,需要另外调用,但更安全。
() self.FC2 = nn.Conv2d(hidden_features, out_features, 1) self.DROP = nn.Dropout(drop) self.LINEAR = linear if self.LINEAR: self.ReLU = nn.ReLU(inplace=True) self.apply(self._init_weights) @staticmethod def _init_weights(m): if isinstance(m, nn.Linear): trunc_normal_(m.weight...
7.9.4 正态分布:torch.normal(means, std, out=None) 7.9.5 其他分布函数 8 随机抽样(重要) 8.1 随机种子 8.2 随机数满足的分布 9 范数运算(非常重要,面试考点) 10 矩阵分解 11 频谱操作(不重要) 12 保存/加载 13 并行化 14 分布式 本小节的所有内容,均是实践的部分,你应该对照着自己敲一遍代码,然后每...
Tensor.trunc_ Partly supported Not support the GRAPH mode Tensor.unsqueeze_ Partly supported Not support the GRAPH mode Tensor.zero_ Partly supported Not support the GRAPH mode Tensor.is_conj Partly supported Currently not support on GRAPH mode Tensor.resolve_conj Partly supported Currently not suppor...
浏览完整代码 来源:learning_to_learn_lifelong_newclass_trunc.py 项目:yangyi02/my-scripts 示例3 def sample(self, mu, logvar, k): eps = Variable(torch.FloatTensor(k, self.B, self.z_size).normal_()) #[P,B,Z] z = eps.mul(torch.exp(.5*logvar)) + mu #[P,B,Z] logpz = log...