WebNov 3, 2024 · pytorch torch.expand和torch.repeat的区别 1.torch.expand 函数返回张量在某一个维度扩展之后的张量,就是将张量广播到新形状。函数对返回的张量不会分配新内 … WebApr 20, 2024 · I am working with an autoencoder and I use latent.view (batch_size,1,-1).expand (-1,,-1) to add a timestep dimension and then repeat the latent space that many time steps to then feed into the decoder RNN. When I use .expand () in this way, how does the gradient backpropagate through it?
PyTorch基础:Tensor和Autograd - 知乎 - 知乎专栏
WebDec 11, 2024 · PyTorch学习笔记——repeat ()和expand ()区别 - 简书 PyTorch学习笔记——repeat ()和expand ()区别 人生一场梦163 关注 IP属地: 四川 2024.12.11 00:29:28 字数 … Web1、torch.Tensor.repeat () 2、torch.Tensor.expand () 1、torch.Tensor. repeat () 函数定义: repeat (*sizes) → Tensor 作用: 在指定的维度上重复这个张量,即把这个维度的张量 复制*sizes次 。 同时可以通过复制的形式扩展维度的数量。 注意: torch.Tensor.repeat方法与numpy.tile方法作用相似,而不是numpy.repeat! torch中与numpy.repeat类似的方法 … recently updated satellite maps
PyTorch学习笔记——repeat()和expand()区别 - 简书
WebSep 10, 2024 · Code Description A.unsqueeze (1) turns A from an [M, N] to [M, 1, N] and .repeat (1, K, 1) repeats the tensor K times along the second dimension. repeat can add … Webpytorch repeat、expand、None pytorch pytorch 一、expand ()返回当前张量在某维扩展更大后的张量。 扩展(expand)张量不会分配新的内存,只是在存在的张量上创建一个新的视图(view),一个大小(size)等于1的维度扩展到更大的尺寸。 x=torch.tensor ( [1,2,3])>>x.... Pytorch中高维tensor的transpose和permute转置过程 pytorch WebAug 18, 2024 · I can reproduce this, but I'm not sure if it is worth fixing. The repeat pattern being used here is repeating a Tensor along some dimension of size 1. The best thing to actually do here is to expand the tensors along a dimension to avoid a copy; replacing the repeat in the benchmark code with a expand produces the best performance on my … unknown column task_id in field list