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pytorch-mixtures

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0.1.0

pytorch_mixtures-0.1.0-py3-none-any.whl

Wheel Details

Project:	pytorch-mixtures
Version:	0.1.0
Filename:	pytorch_mixtures-0.1.0-py3-none-any.whl
Download:	[link]
Size:	8923
MD5:	`191641a32fd260b81a1ec5420c1edf89`
SHA256:	`d39154004da976e36063d3b02934f610e4a1981013e4bdc246bf8e2becbd7c00`
Uploaded:	2024-07-08 08:31:35 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	pytorch-mixtures
Version:	0.1.0
Summary:	The one-stop solution to easily integrate MoE & MoD layers into custom PyTorch code.
Author:	Jaisidh Singh
Author-Email:	jaisidhsingh[at]gmail.com
Home-Page:	https://github.com/jaisidhsingh/pytorch-mixtures
Classifier:	Programming Language :: Python :: 3
Classifier:	License :: OSI Approved :: MIT License
Classifier:	Operating System :: OS Independent
Requires-Python:	>=3.8
Requires-Dist:	torch (==2.2.2)
Requires-Dist:	einops (==0.8.0)
Description-Content-Type:	text/markdown
License-File:	LICENSE

[Description omitted; length: 4041 characters]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.37.0)
Root-Is-Purelib:	true
Tag:	py3-none-any

RECORD

Path	Digest	Size
pytorch_mixtures/__init__.py	sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU	0
pytorch_mixtures/mod_layer.py	sha256=NNpkAjKcjVgTMRB03MD3Es7uGIczNII1-aQOh6EmGgk	2881
pytorch_mixtures/moe_layer.py	sha256=w3jdhkYsRKBM7AegJjmRhTP6fXHJRmRdclUxEwbZuoU	1145
pytorch_mixtures/routing.py	sha256=bXqf85Dzm8XlcfmBR1HB8rWCFGWxJXIOJbfqHxRKUDs	6225
pytorch_mixtures/utils.py	sha256=pGs0fbjLodFq1TA95zlq-fW_oOomOaTABHLaxg2wbyI	3597
pytorch_mixtures-0.1.0.dist-info/LICENSE	sha256=TJAQPIZC0h8oLwcl5Ndl0XMRYSvrnOO2P3UkcMyv69o	1091
pytorch_mixtures-0.1.0.dist-info/METADATA	sha256=Uac4GU4YbZq0gSKpWABLCwj3QzlykT7krLK761qOOiA	4644
pytorch_mixtures-0.1.0.dist-info/WHEEL	sha256=ewwEueio1C2XeHTvT17n8dZUJgOvyCWCt0WVNLClP9o	92
pytorch_mixtures-0.1.0.dist-info/top_level.txt	sha256=VHVJ_lLrq1finfdSdWjkuUpNDo0ja49YMt10Ux6Ew8Y	17
pytorch_mixtures-0.1.0.dist-info/RECORD	—	—

top_level.txt

pytorch_mixtures