ef8ef12fd0
* Added changes for RPC plugin * Add missing kwargs * Fix code format * Loading refactors by introducing is_distributed var, fix optimizer step flow * Add rpc guard * Added docstrings and typing * resolve comments * Add additional rpc hook, refactor name of exit process hook for clarity * remove annotation * Modify behaviour to allow optional return, add test for rpc plugin * resolve tests * rename is_ddp_based * update * update for windows * update * resolve test * code smell * Added sequential plugin * resolve bug * update * cleanup * add Exception * resolve docs * Remove ddp support * Revert distributed -> ddp * Update pl_examples/basic_examples/conv_sequential_example.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update pl_examples/basic_examples/conv_sequential_example.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/plugins/ddp_sequential_plugin.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Address code review points * Update pytorch_lightning/plugins/ddp_sequential_plugin.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/plugins/ddp_sequential_plugin.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Add missing return * Fix formatting, add datamodule args * add small comment * resolve comments * resolve comments * update source for fairscale * update extras * remove staticmethod * resolve flake8 * Skip tests that are failing due to bug upstream with multiple optimizers and shard * update * update on comments * clean test * latest comments * remove old comments * add todo * Update version * update * resolve bugs * resolve bugs * update test * remove hanging test * Update pytorch_lightning/plugins/ddp_sequential_plugin.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * resolve on comments * Update pytorch_lightning/plugins/ddp_sequential_plugin.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * resolve on comments * Update pytorch_lightning/plugins/ddp_sequential_plugin.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * Update pytorch_lightning/plugins/ddp_sequential_plugin.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * Update pytorch_lightning/plugins/ddp_sequential_plugin.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * Update pytorch_lightning/plugins/ddp_sequential_plugin.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * remove ImportError Co-authored-by: SeanNaren <sean@grid.ai> Co-authored-by: Sean Naren <sean.narenthiran@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> |
||
|---|---|---|
| .. | ||
| basic_examples | ||
| 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.