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...