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import argparse
from huggingface_hub import hf_hub_download
from cleanrl_utils.evals import MODELS
def parse_args():
# fmt: off
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()
# fmt: on
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,
)