Pytorch random

相關問題 & 資訊整理

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