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-1.3.7.tar.gz
(6.4 kB
view details)
Built Distribution
File details
Details for the file torchnorms-1.3.7.tar.gz.
File metadata
- Download URL: torchnorms-1.3.7.tar.gz
- Upload date:
- Size: 6.4 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 | 64c73a82c2d17b85894da3747a759f541bb793023d7d2e4c92445e6712170991 |
|
| MD5 | c497035142dac5396ce605589785d08e |
|
| BLAKE2b-256 | 26c32a1e89bc9f844f0426c00752dcf6a61aa10853d22dc05b290bdbd74893b3 |
File details
Details for the file torchnorms-1.3.7-py3-none-any.whl.
File metadata
- Download URL: torchnorms-1.3.7-py3-none-any.whl
- Upload date:
- Size: 16.7 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 | 1fc652396005468732224e483a6e7a2237cf38ccdc36808a54899ca42ea304ed |
|
| MD5 | a512bba0fa2790c3588b4c269c2bc1bf |
|
| BLAKE2b-256 | 3fea17fdb3ee8ae1cc327e1004f80e9863a68c1d4662b235bebca9ea60ad9c6e |
