Differentiable Fuzzy Logic operators for
Project description
torch-norms
t-norms in PyTorch
Project details
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-1.3.4.tar.gz
(6.5 kB
view details)
Built Distribution
File details
Details for the file torchnorms-1.3.4.tar.gz
.
File metadata
- Download URL: torchnorms-1.3.4.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 | c6a351ca8d4190f4700383882d6525c73fff9b1e723ff37706647204338e3d42 |
|
MD5 | 9612617d9d74425977b1e9330a83d8f1 |
|
BLAKE2b-256 | 8ab88ff18eb1e7566134c5f190a3b43fe23cc403063f517ebbf5c11f02588e7a |
File details
Details for the file torchnorms-1.3.4-py3-none-any.whl
.
File metadata
- Download URL: torchnorms-1.3.4-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 | f71e1e56879da74775433a3a9e5cf2ff469be9ce668b0392b75ac8a85f6abc54 |
|
MD5 | 11eeb862db90d448001fc3aaf889c9c3 |
|
BLAKE2b-256 | 7cf0cb5a2a0bec1fd3ecd9803fa34f47c2f90ba1b7c544ba6b4b02008da087a3 |