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-1.3.6.tar.gz
(6.5 kB
view details)
Built Distribution
File details
Details for the file torchnorms-1.3.6.tar.gz.
File metadata
- Download URL: torchnorms-1.3.6.tar.gz
- Upload date:
- Size: 6.5 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 | 6dab8361b8eea37f81da8d4760ede4e1d20e67956f68bd2d59a83e73ce44f423 |
|
| MD5 | b5a4adb47ad2d260b8ebb089ec96228e |
|
| BLAKE2b-256 | 94fde5d424dfe2ed6a69f8ea5c6657654b06ba496f13a75bbd407e7003d55c8f |
File details
Details for the file torchnorms-1.3.6-py3-none-any.whl.
File metadata
- Download URL: torchnorms-1.3.6-py3-none-any.whl
- Upload date:
- Size: 16.8 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 | dac20645a308233a1002ca16ddcbff36323b3ce385d521f94ad35d0ef10ac8a0 |
|
| MD5 | ed88f091eedd03365aeb5fdfd06cdab9 |
|
| BLAKE2b-256 | 267a312f1f103921237297919549c4a38b95da4c5b5d811ddcf2e8ce54f6019d |
