| import argparse |
|
|
| from huggingface_hub import hf_hub_download |
|
|
| from cleanrl_utils.evals import MODELS |
|
|
|
|
| def parse_args(): |
| |
| parser = argparse.ArgumentParser() |
| parser.add_argument("--exp-name", type=str, default="dqn_atari", |
| help="the name of this experiment (e.g., ppo, dqn_atari)") |
| parser.add_argument("--seed", type=int, default=1, |
| help="seed of the experiment") |
| parser.add_argument("--hf-entity", type=str, default="cleanrl", |
| help="the user or org name of the model repository from the Hugging Face Hub") |
| parser.add_argument("--hf-repository", type=str, default="", |
| help="the huggingface repo (e.g., cleanrl/BreakoutNoFrameskip-v4-dqn_atari-seed1)") |
| parser.add_argument("--env-id", type=str, default="BreakoutNoFrameskip-v4", |
| help="the id of the environment") |
| parser.add_argument("--eval-episodes", type=int, default=10, |
| help="the number of evaluation episodes") |
| args = parser.parse_args() |
| |
| return args |
|
|
|
|
| if __name__ == "__main__": |
| args = parse_args() |
| Model, make_env, evaluate = MODELS[args.exp_name]() |
| if not args.hf_repository: |
| args.hf_repository = f"{args.hf_entity}/{args.env_id}-{args.exp_name}-seed{args.seed}" |
| print(f"loading saved models from {args.hf_repository}...") |
| model_path = hf_hub_download(repo_id=args.hf_repository, filename=f"{args.exp_name}.cleanrl_model") |
| evaluate( |
| model_path, |
| make_env, |
| args.env_id, |
| eval_episodes=args.eval_episodes, |
| run_name=f"eval", |
| Model=Model, |
| capture_video=args.capture_video, |
| ) |
|
|