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taylor-series-linear-attention

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0.1.9 taylor_series_linear_attention-0.1.9-py3-none-any.whl

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Project: taylor-series-linear-attention
Version: 0.1.9
Filename: taylor_series_linear_attention-0.1.9-py3-none-any.whl
Download: [link]
Size: 7017
MD5: cd0b05c26977a31c4a4ff33fdb6a7671
SHA256: c92468cac51276deb4de9aa6c271b02ffba0fb802ce7bd629d87866f881b65c1
Uploaded: 2024-01-20 22:12:23 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: taylor-series-linear-attention
Version: 0.1.9
Summary: Taylor Series Linear Attention
Author: Phil Wang
Author-Email: lucidrains[at]gmail.com
Home-Page: https://github.com/lucidrains/taylor-series-linear-attention
License: MIT
Keywords: artificial intelligence,deep learning,attention mechanism
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Requires-Dist: einops (>=0.7.0)
Requires-Dist: einx
Requires-Dist: rotary-embedding-torch (>=0.5.3)
Requires-Dist: torch (>=2.0)
Requires-Dist: torchtyping
Description-Content-Type: text/markdown
License-File: LICENSE
[No description]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.42.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
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taylor_series_linear_attention/attention.py sha256=BPZLm18MuFml6I91K6wIvDLt3jlUiJgsAbYpa-kCnG4 8776
taylor_series_linear_attention/vit.py sha256=_lJ2p1O8g5nql7-Z-eTb88hOQpXyb81dupUqQuoC2yE 4230
taylor_series_linear_attention-0.1.9.dist-info/LICENSE sha256=JCo3d2HvOFPGYvaXfnYX4-qjRyQvVElop5ZRITXMg-U 1066
taylor_series_linear_attention-0.1.9.dist-info/METADATA sha256=MPRJEQFYCgdpLrl9Fb9RxOVbMOGcj9ySY6NXr82cQXs 792
taylor_series_linear_attention-0.1.9.dist-info/WHEEL sha256=oiQVh_5PnQM0E3gPdiz09WCNmwiHDMaGer_elqB3coM 92
taylor_series_linear_attention-0.1.9.dist-info/top_level.txt sha256=CEHv-ch4jHLwyapWY0HcHkwDXbv7D3chBJg_6x_SpG4 31
taylor_series_linear_attention-0.1.9.dist-info/RECORD — —

top_level.txt

taylor_series_linear_attention