Pytorch random
Controlling sources of randomness. PyTorch random number generator. You can use torch.manual_seed() to seed the RNG for all devices (both CPU ... ,Random sampling creation ops are listed under Random sampling and include: ... Returns a tensor with the same size as input that is filled with random ... ,torch. rand (*size, *, out=None, dtype=None, layout=torch.strided, device=None, requires_grad=False) → Tensor. Returns a tensor filled with random numbers ... ,Returns a tensor filled with random integers generated uniformly between low (inclusive) and high (exclusive). The shape of the tensor is defined by the ... ,Returns a tensor filled with random numbers from a normal distribution with mean 0 and variance 1 (also called the standard normal distribution). ,torch.random · devices (iterable of CUDA IDs) – CUDA devices for which to fork the RNG. CPU RNG state is always forked. · enabled (bool) – if False , the RNG is ... ,Returns a random permutation of integers from 0 to n - 1 . Parameters. n (int) – the upper bound (exclusive). Keyword Arguments. generator ( torch. ,This type of datasets is particularly suitable for cases where random reads are expensive or even improbable, and where the batch size depends on the ... ,Crop a random portion of image and resize it to a given size. If the image is torch Tensor, it is expected to have […, H, W] shape, where … means an arbitrary ... ,2017年11月28日 — 在使用PyTorch做实验时经常会用到生成随机数Tensor的方法，比如： torch.rand() torch.randn() torch.normal() torch.linespace() 在很长一段时间里我 ...
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 Pytorch random 相關參考資料
Reproducibility — PyTorch 1.10.1 documentation
Controlling sources of randomness. PyTorch random number generator. You can use torch.manual_seed() to seed the RNG for all devices (both CPU ... https://pytorch.org torch — PyTorch 1.10.1 documentation
Random sampling creation ops are listed under Random sampling and include: ... Returns a tensor with the same size as input that is filled with random ... https://pytorch.org torch.rand — PyTorch 1.10.1 documentation
torch. rand (*size, *, out=None, dtype=None, layout=torch.strided, device=None, requires_grad=False) → Tensor. Returns a tensor filled with random numbers ... https://pytorch.org torch.randint — PyTorch 1.10.1 documentation
Returns a tensor filled with random integers generated uniformly between low (inclusive) and high (exclusive). The shape of the tensor is defined by the ... https://pytorch.org torch.randn — PyTorch 1.10.1 documentation
Returns a tensor filled with random numbers from a normal distribution with mean 0 and variance 1 (also called the standard normal distribution). https://pytorch.org torch.random — PyTorch 1.10.1 documentation
torch.random · devices (iterable of CUDA IDs) – CUDA devices for which to fork the RNG. CPU RNG state is always forked. · enabled (bool) – if False , the RNG is ... https://pytorch.org torch.randperm — PyTorch 1.10.1 documentation
Returns a random permutation of integers from 0 to n - 1 . Parameters. n (int) – the upper bound (exclusive). Keyword Arguments. generator ( torch. https://pytorch.org torch.utils.data — PyTorch 1.10.1 documentation
This type of datasets is particularly suitable for cases where random reads are expensive or even improbable, and where the batch size depends on the ... https://pytorch.org torchvision.transforms — Torchvision 0.11 ... - PyTorch
Crop a random portion of image and resize it to a given size. If the image is torch Tensor, it is expected to have […, H, W] shape, where … means an arbitrary ... https://pytorch.org 生成随机数Tensor的方法汇总（标准分布、正态分布……） - 知乎
2017年11月28日 — 在使用PyTorch做实验时经常会用到生成随机数Tensor的方法，比如： torch.rand() torch.randn() torch.normal() torch.linespace() 在很长一段时间里我 ... https://zhuanlan.zhihu.com |