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-1.0.1.tar.gz
(5.2 kB
view details)
Built Distribution
File details
Details for the file torchnorms-1.0.1.tar.gz
.
File metadata
- Download URL: torchnorms-1.0.1.tar.gz
- Upload date:
- Size: 5.2 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/4.36.1 CPython/3.6.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | ea7ca470699e456fdd116556382de08b65c35652c10b6fa1cce34a33b290736f |
|
MD5 | b9b5b13651d108cb4f026e04b2168240 |
|
BLAKE2b-256 | 05e7b07e7b2d26586fa3db676cd333e102572a995eaa11bfbf531a6ea4f5f0f1 |
File details
Details for the file torchnorms-1.0.1-py3-none-any.whl
.
File metadata
- Download URL: torchnorms-1.0.1-py3-none-any.whl
- Upload date:
- Size: 13.5 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/4.36.1 CPython/3.6.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4d094372b1c352d94a5b300d38f187834fdfb1d695f30e018c4d2f9e6cfff03d |
|
MD5 | 176811de52f5b882fd785a1d3e7d529c |
|
BLAKE2b-256 | 796820ef3bdad199ef93fb46d6970dc57e1655ae256693af88e6ff06d53e9155 |