Linformer Pytorch Implementation
A practical implementation of the Linformer paper.
This is a self attention mechanism with linear time complexity in n.
Check out the github for more information: https://github.com/tatp22/linformer-pytorch
1 maintainer
Release files for linformer-pytorch 0.19.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| linformer_pytorch-0.19.3.tar.gz | 7.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| linformer_pytorch-0.19.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 17.2 kB
Release files / linformer_pytorch-0.19.3.tar.gz
| Download URL | linformer_pytorch-0.19.3.tar.gz |
|---|---|
| Size | 7.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/3.1.1 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.8.6
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Release files / linformer_pytorch-0.19.3-py3-none-any.whl
| Download URL | linformer_pytorch-0.19.3-py3-none-any.whl |
|---|---|
| Size | 9.3 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.8.6
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