Wheelodex » Projects » vector-quantize-pytorch

vector-quantize-pytorch

View on PyPI — Reverse Dependencies (23)

1.14.23 vector_quantize_pytorch-1.14.23-py3-none-any.whl

Wheel Details

Project: vector-quantize-pytorch
Version: 1.14.23
Filename: vector_quantize_pytorch-1.14.23-py3-none-any.whl
Download: [link]
Size: 36876
MD5: 74f0b347a857b7048cddaf025ec25a37
SHA256: ae04d0df0c32a2cd4ec2ea57b30bf78978663874621df50082b700d174f3f037
Uploaded: 2024-05-13 20:21:25 +0000

dist-info

METADATA · WHEEL · RECORD

METADATA

Metadata-Version: 2.3
Name: vector-quantize-pytorch
Version: 1.14.23
Summary: Vector Quantization - Pytorch
Author-Email: Phil Wang <lucidrains[at]gmail.com>
Project-Url: Homepage, https://pypi.org/project/vector-quantize-pytorch/
Project-Url: Repository, https://github.com/lucidrains/vector-quantizer-pytorch
License: MIT License Copyright (c) 2020 Phil Wang Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Keywords: artificial intelligence,deep learning,pytorch,quantization
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.9
Requires-Dist: einops (>=0.8.0)
Requires-Dist: einx (>=0.2.2)
Requires-Dist: torch (>=2.0)
Requires-Dist: torchvision; extra == "examples"
Requires-Dist: tqdm; extra == "examples"
Provides-Extra: examples
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 23806 characters]

WHEEL

Wheel-Version: 1.0
Generator: hatchling 1.24.2
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
vector_quantize_pytorch/__init__.py sha256=8zrsTIqAJXc2Ao_YNY9IBPXHvIj_vwV4H8fTNdknC-E 608
vector_quantize_pytorch/finite_scalar_quantization.py sha256=jzfl84xgT2sd1SWWD3X0NnYh4bTFExCmV9Um6PXmPY8 6577
vector_quantize_pytorch/latent_quantization.py sha256=d2DnSshHcLAcoZRsZo5Ryymt1lDc7YkRldbnOvuU2GQ 11211
vector_quantize_pytorch/lookup_free_quantization.py sha256=erCzWiBZiStXpAYgT5XwlxLEjj4FSTDoMfJd-DPC94M 11472
vector_quantize_pytorch/random_projection_quantizer.py sha256=ZlkekzVNuDEpV42kifYwOdAx-kJdgHAtSLrAW5OZZ8k 1723
vector_quantize_pytorch/residual_fsq.py sha256=7XkFKbtLYd9r9ISQ_cjPMTRfufUZuOrLCLMdxBIIzF8 8559
vector_quantize_pytorch/residual_lfq.py sha256=Twbmic51EwiBoq_MsV1HIjY6N-ekdJIamlVnQ7oDULM 8602
vector_quantize_pytorch/residual_vq.py sha256=j401QyCUXfgvEtk4040mHLf4p8EnssLgCY3vf1iUGeM 10589
vector_quantize_pytorch/vector_quantize_pytorch.py sha256=-mV6gSXNZY69IGEeZg348svP5cIlhcD6pBTKdu0Mt9Q 37574
vector_quantize_pytorch-1.14.23.dist-info/METADATA sha256=3o1ZoF8xwHDYkY0FP6rqyzqOngfxjpzmrPz8spOyjSM 25960
vector_quantize_pytorch-1.14.23.dist-info/WHEEL sha256=zEMcRr9Kr03x1ozGwg5v9NQBKn3kndp6LSoSlVg-jhU 87
vector_quantize_pytorch-1.14.23.dist-info/licenses/LICENSE sha256=As9u198X-U-vph5noInuUfqsAG2zX_oXPHDmdjwlPPY 1066
vector_quantize_pytorch-1.14.23.dist-info/RECORD — —