Pytorch 공식문서에서의 설명
CLASStorch.Generator(device='cpu')의사 난수를 생성하는 알고리즘의 상태를 관리하는 Generator의 객체를 생성하고 반환한다. 많은 In-place random sampling 함수에서 keyword argumend로 사용된다.
In-place random sampling
텐서에 정의된 random sampling 함수
- torch.Tensor.bernoulli_() - in-place version of torch.bernoulli()
- torch.Tensor.cauchy_() - numbers drawn from the Cauchy distribution
- torch.Tensor.exponential_() - numbers drawn from the exponential distribution
- torch.Tensor.geometric_() - elements drawn from the geometric distribution
- torch.Tensor.log_normal_() - samples from the log-normal distribution
- torch.Tensor.normal_() - in-place version of torch.normal()
- torch.Tensor.random_() - numbers sampled from the discrete uniform distribution
- torch.Tensor.uniform_() - numbers sampled from the continuous uniform distribution
https://pytorch.org/docs/stable/generated/torch.Generator.html