Add PyTorch Lightning integration #203
Open
+304
−0
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
This pull request is to merge a new experiment
torch-lightning-experiment
for the issue195
. The new classTorchExperiment
is an experiment adapter for PyTorch Lightning experiments and is used to perform experiments using PyTorch Lightning modules. It allows for hyperparameter tuning and evaluation of the model's performance using specified metrics.The
TorchExperiment
class accepts aLightningModule
,DataModule
,Trainer
, and anobjective_matric
with default valueval_loss
. The_evaluate
function internally performs a training run and returns a score of theobjective_matric
.Fixes #195