torch¶
Random sampling¶
In-place random sampling¶
There are a few more in-place random sampling functions defined on Tensors as well. Click through to refer to their documentation:
torch.Tensor.bernoulli_()
- in-place version oftorch.bernoulli()
torch.Tensor.cauchy_()
- numbers drawn from the Cauchy distributiontorch.Tensor.exponential_()
- numbers drawn from the exponential distributiontorch.Tensor.geometric_()
- elements drawn from the geometric distributiontorch.Tensor.log_normal_()
- samples from the log-normal distributiontorch.Tensor.normal_()
- in-place version oftorch.normal()
torch.Tensor.random_()
- numbers sampled from the discrete uniform distributiontorch.Tensor.uniform_()
- numbers sampled from the uniform distribution