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from agents.OptimAgent import OptimAgent
from models.OpenAI import OpenAIModel
from models.kimi import KimiModel
from dataloaders.TritonBench import TritonBench
from args_config import load_config
def main():
args = load_config("configs/tritonbench_optimagent_config.yaml")
# setup LLM model
model = KimiModel(api_key=args.api_key, model_id=args.model_id)
# setup dataset
dataset = TritonBench(statis_path=args.statis_path,
py_folder=args.py_folder,
instruction_path=args.instruction_path,
py_interpreter=args.py_interpreter,
golden_metrics=args.golden_metrics,
perf_ref_folder=args.perf_ref_folder,
perf_G_path=args.perf_G_path,
result_path=args.result_path)
# setup agent
agent = OptimAgent(model=model, dataset=dataset, corpus_path=args.corpus_path, mem_file=args.mem_file)
# run the agent
agent.run(output_path=args.output_path,
multi_thread=args.multi_thread,
iteration_num=args.max_iteration,
temperature=args.temperature,
datalen=None,
start_iter=args.start_iter,
ancestor_num=args.ancestor_num)
if __name__ == "__main__":
main() |