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* add option to step result to do aggregation on a specific device * in dp: do aggregation on root gpu * Update CHANGELOG.md * pep8 * trailing whitespace * uncomment DP * more cases * tmpdir * test * note * move to root move result stupid result object revert to master undo import add "to" method to result generalize to try a test try a test Revert "try a test" This reverts commit 22e3c1001e6c5774ea18ad925830304c245bf145. Revert "try a test" This reverts commit 4d2d8fb2a52d552894809a0cbe51af126d78f070. new test max epochs super epoch end log in test hanging test undo test initial test that fails on master step end pass step end step end epoch end print step check dev clean up test sanity check wtf is go ing on frustration debugging test test test test test test test test test unused import * dist backend -> accelerator * remove todo Co-authored-by: Justus Schock <justus.schock@rwth-aachen.de> Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> |
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| domain_templates | ||
| pytorch_ecosystem/pytorch_geometric | ||
| README.md | ||
| __init__.py | ||
| bug_report_model.py | ||
| test_examples.py | ||
README.md
Examples
Our most robust examples showing all sorts of implementations can be found in our sister library PyTorch-Lightning-Bolts.
Basic examples
In this folder we add 3 simple examples:
- Image Classifier (trains arbitrary datasets with arbitrary backbones).
- MNIST classifier (defined the model inside the lightningModule).
- Autoencoder (shows how the LightningModule is meant to be used as a system)
Domain examples
This folder contains older examples. You should instead use the examples in PyTorch-Lightning-Bolts for advanced use cases.