Multibackend GLU and its variants
A Keras 3 port of Gated Linear Units and its variants. Ported from Rishit Dagli's Implementation
Installation
pip install glu_keras --upgrade
Usage
import keras
from glu_keras import SwiGLU
model = keras.Sequential()
model.add(keras.layers.Dense(units=10))
model.add(SwiGLU(bias = False, dim=-1, name='swiglu'))
1 maintainer
Metadata
1 maintainer
Release files for GLU-KERAS 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| glu_keras-0.0.2.tar.gz | 2.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| glu_keras-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.9 kB
Release files / glu_keras-0.0.2.tar.gz
| Download URL | glu_keras-0.0.2.tar.gz |
|---|---|
| Size | 2.0 kB |
| Tags | Source |
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Release files / glu_keras-0.0.2-py3-none-any.whl
| Download URL | glu_keras-0.0.2-py3-none-any.whl |
|---|---|
| Size | 2.8 kB |
| Tags | Python 3 |
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