c0ec0decec
Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Jirka <jirka.borovec@seznam.cz> Co-authored-by: Jirka Borovec <6035284+Borda@users.noreply.github.com> |
||
---|---|---|
.. | ||
README.md | ||
run.py | ||
trainer.py |
README.md
Build Your Own Trainer (BYOT)
This example demonstrates how easy it is to build a fully customizable trainer for your LightningModule
using Fabric
.
It is built upon lightning.fabric
for hardware and training orchestration and consists of two files:
- trainer.py contains the actual
MyCustomTrainer
implementation - run.py contains a script utilizing this trainer for training a very simple MNIST module.
Run
To run this example, call python run.py
Requirements
This example has the following requirements which need to be installed on your python environment:
lightning
torchmetrics
torch
torchvision
tqdm
to install them with the appropriate versions run:
pip install "lightning>=2.0" "torchmetrics>=0.11" "torchvision>=0.14" "torch>=1.13" tqdm