https://github.com/speedcell4/torchrua

Manipulate tensors with PackedSequence and CattedSequence
https://github.com/speedcell4/torchrua

catted-sequence deep-learning-library jit packed-sequence pytorch

Last synced: 5 months ago
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Manipulate tensors with PackedSequence and CattedSequence

• Host: GitHub
• URL: https://github.com/speedcell4/torchrua
• Owner: speedcell4
• License: mit
• Created: 2020-10-09T16:36:46.000Z (over 4 years ago)
• Default Branch: develop
• Last Pushed: 2024-02-25T05:08:18.000Z (about 1 year ago)
• Last Synced: 2024-04-27T00:06:59.999Z (about 1 year ago)
• Topics: catted-sequence, deep-learning-library, jit, packed-sequence, pytorch
• Language: Python
• Homepage:
• Size: 567 KB
• Stars: 12
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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# TorchRua

![GitHub Workflow Status (with event)](https://img.shields.io/github/actions/workflow/status/speedcell4/torchrua/unit-tests.yml?cacheSeconds=0)

![PyPI - Version](https://img.shields.io/pypi/v/torchrua?label=pypi%20version&cacheSeconds=0)

![PyPI - Downloads](https://img.shields.io/pypi/dm/torchrua?cacheSeconds=0)



**Rua** derives from the [Szechwanese](https://en.wikipedia.org/wiki/Sichuanese_dialects) character 挼

ruá which means "pack, rumple, screw up, manipulate". TorchRua provides tons of easy-to-use functions to

help you rua tensors with `PackedSequence`, `CattedSequence`, and `PaddedSequence`!

## Installation

`python -m pip torchrua`