Torch-Scope documentation

A Toolkit for training pytorch models, which has three features:

1. Tracking environments, dependency, implementations and checkpoints;
2. Providing a logger wrapper with two handlers (to `std` and `file`);
3. Supporting automatic device selection;
4. Providing a tensorboard wrapper;
5. Providing a spreadsheet writer to automatically summarizing notes and results;

wrapper package

torch_scope.basic_wrapper module

torch_scope.wrapper module

spreadsheet writer

torch_scope.sheet_writer module

Indices and tables

• Index
• Module Index
• Search Page