Torch-Scope documentation¶
A Toolkit for training pytorch models, which has three features:
- Tracking environments, dependency, implementations and checkpoints;
- Providing a logger wrapper with two handlers (to
`std`
and`file`
); - Supporting automatic device selection;
- Providing a tensorboard wrapper;
- Providing a spreadsheet writer to automatically summarizing notes and results;