Code to reproduce our results on CLRS-30.
We recommend to use the package manager conda
. Once installed run
conda create -n towards-principled-gts python=3.10
conda activate towards-principled-gts
Install all dependencies via:
pip install -e .
By default, logging with wandb
is disabled. To enable it set --wandb_project
in the command line. Optionally, set --wandb_entity
and --wandb_name
to configure your entity and run name, respectively.
To benchmark the ET on e.g., Dijkstra, run
python -m clrs.examples.run --algorithms dijkstra
For more detailed explanation about the benchmark refer to clrs repository and the CLRS Paper.