Have a caching option in the dataset #140
Draft
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Outdated suggestions cannot be applied.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.
TODO:
What this does
Adds an option for LeRobot dataset to cache all items in a {int: Tensor} mapping. This makes data loading much faster and makes TD-MPC training viable. See #93 for context.
A side change is that I add some dataloader options to
default.yaml
.How it was tested
I did a TD-MPC training run and it went quick after the first epoch.
This change is