| from typing import Optional | |
| import torch | |
| def log_normal_sample(x: torch.Tensor, | |
| generator: Optional[torch.Generator] = None, | |
| m: float = 0.0, | |
| s: float = 1.0) -> torch.Tensor: | |
| bs = x.shape[0] | |
| s = torch.randn(bs, device=x.device, generator=generator) * s + m | |
| return torch.sigmoid(s) | |
Xet Storage Details
- Size:
- 361 Bytes
- Xet hash:
- e325997b10a7721e4131c75b7305822055c1d66818865ed6fee02023a8a23b7b
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.