Differentiable Fuzzy Logic operators for
Project description
torch-norms
t-norms in PyTorch
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
torchnorms-1.4.2.tar.gz
(6.7 kB
view details)
Built Distribution
File details
Details for the file torchnorms-1.4.2.tar.gz.
File metadata
- Download URL: torchnorms-1.4.2.tar.gz
- Upload date:
- Size: 6.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.8.3 pkginfo/1.8.2 requests/2.13.0 requests-toolbelt/0.9.1 tqdm/4.23.3 CPython/3.6.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 8d29803600df9f147ae7f6a852887655d9fbb74a41c28cb9e5434c827287bf2d |
|
| MD5 | f82e9982415bf0129dc986651815404b |
|
| BLAKE2b-256 | 3209fbeeb495a16a4c8cd4e39d501c7d991033cd0f489c328bd81decea8a3c0d |
File details
Details for the file torchnorms-1.4.2-py3-none-any.whl.
File metadata
- Download URL: torchnorms-1.4.2-py3-none-any.whl
- Upload date:
- Size: 17.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.8.3 pkginfo/1.8.2 requests/2.13.0 requests-toolbelt/0.9.1 tqdm/4.23.3 CPython/3.6.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 76cb8d11b3faf10f930a5c7bfb4ee9f982d0326e3bcf7c952a044c40b5fefb04 |
|
| MD5 | f84bbcc2aaa88e1f90456f31b85dc146 |
|
| BLAKE2b-256 | 3d79c8d1681e416bfb66d2f64ca07f065ec850f6984781ff5c15f57bf0c60fb6 |
