mirror of
https://github.com/wassname/pytorch-lightning.git
synced 2026-09-10 12:21:57 +08:00
William Falcon
f8d9f8f773
* updated gitignore * updated gitignore * updated links in ninja file * updated docs * finished callbacks * finished callbacks * finished callbacks * fixed left menu * added callbacks to menu * added direct links to docs * added direct links to docs * added direct links to docs * added direct links to docs * added direct links to docs * added direct links to docs * updated gitignore * updated links in ninja file * updated docs * finished callbacks * finished callbacks * finished callbacks * fixed left menu * added callbacks to menu * added direct links to docs * added direct links to docs * added direct links to docs * added direct links to docs * added direct links to docs * added direct links to docs * finished rebase * making private members * making private members * making private members * working on trainer docs * working on trainer docs * working on trainer docs * working on trainer docs * working on trainer docs * working on trainer docs * set auto dp if no backend * working on trainer docs * working on trainer docs * working on trainer docs * working on trainer docs * working on trainer docs * working on trainer docs * working on trainer docs * working on trainer docs * fixed lightning import * cleared spaces * cleared spaces * cleared spaces * cleared spaces * cleared spaces * cleared spaces * cleared spaces * cleared spaces * cleared spaces * cleared spaces * finished lightning module * finished lightning module * finished lightning module * finished lightning module * added callbacks * added loggers * added loggers * added loggers * added loggers * added loggers * added loggers * added loggers * added loggers * set auto dp if no backend * added loggers * added loggers * added loggers * added loggers * added loggers * added loggers * flake 8 * flake 8 * fix docs path * updated gitignore * updated gitignore * updated links in ninja file * updated docs * finished callbacks * finished callbacks * finished callbacks * fixed left menu * added callbacks to menu * added direct links to docs * added direct links to docs * added direct links to docs * added direct links to docs * added direct links to docs * added direct links to docs * updated gitignore * updated docs * finished callbacks * finished callbacks * finished callbacks * fixed left menu * added callbacks to menu * added direct links to docs * added direct links to docs * added direct links to docs * added direct links to docs * added direct links to docs * added direct links to docs * finished rebase * making private members * making private members * making private members * working on trainer docs * working on trainer docs * working on trainer docs * working on trainer docs * working on trainer docs * working on trainer docs * set auto dp if no backend * working on trainer docs * working on trainer docs * working on trainer docs * working on trainer docs * working on trainer docs * working on trainer docs * working on trainer docs * fixed lightning import * cleared spaces * cleared spaces * cleared spaces * cleared spaces * cleared spaces * finished lightning module * finished lightning module * finished lightning module * finished lightning module * added callbacks * added loggers * added loggers * added loggers * added loggers * added loggers * added loggers * added loggers * added loggers * added loggers * added loggers * added loggers * flake 8 * flake 8 * fix docs path * flake 8 * Update theme_variables.jinja
30 lines
748 B
Python
30 lines
748 B
Python
"""
|
|
|
|
The trainer de-couples the engineering code (16-bit, early stopping, GPU distribution, etc...) from the
|
|
science code (GAN, BERT, your project, etc...). It uses many assumptions which are best practices in
|
|
AI research today.
|
|
|
|
The trainer automates all parts of training except:
|
|
|
|
- what happens in training , test, val loop
|
|
- where the data come from
|
|
- which optimizers to use
|
|
- how to do the computations
|
|
|
|
The Trainer delegates those calls to your LightningModule which defines how to do those parts.
|
|
|
|
This is the basic use of the trainer:
|
|
|
|
.. code-block:: python
|
|
|
|
from pytorch_lightning import Trainer
|
|
|
|
model = MyLightningModule()
|
|
|
|
trainer = Trainer()
|
|
trainer.fit(model)
|
|
"""
|
|
|
|
from .trainer import Trainer
|
|
__all__ = ['Trainer']
|