XRoute Environment, standing for self-learning (denoted by X) for detailed routing (denoted by Route), is a novel reinforcement learning environment to train agents to order and route all nets in various challenging testcases efficiently and effectively, and present the routing results in varying dashboards.
To interact with the xroute environment, you need to download the simulator first:
| Operating System | Download Link |
|---|---|
| Ubuntu 22.04 | Download |
Then, put the simulator in the third_party/openroad folder.
You may also need to execute the following command to install some libraries to ensure that OpenRoad can start up properly.
cd third_party/openroad
chmod +x DependencyInstaller.sh
source ./DependencyInstaller.shYou can choose to launch the simulator in following modes:
In this mode, the simulator should launch first, then the agent can control the simulator to train the model.(The usage of xroute can be found in the README.md under the xroute directory.)
cd examples && python3 launch_training.py
cd baseline/DQN && python3 train_DQN.py cpu
# cd baseline/PPO && python3 train_PPO.py cpu
# cd baseline/A3C && python discrete_A3C.pyAfter executing the command above, the simulator will listen to the port 6667 to wait for environment reset command, and then interact with the agent via port 5556.
In this mode, the agent should launch first, then the simulator can connect to the agent to get the action.
cd baseline/DQN && python3 test_DQN.py cpu 5556
# cd baseline/PPO && python3 test_PPO.py cpu 5556
# cd baseline/A3C && python3 test_A3C.py 5556 cpu
cd examples && python3 launch_evaluation.py 5556The routing simulator in xroute environment is mainly based on OpenROAD TritonRoute. Thanks for their wonderful work!