| import os |
| import sys |
| import subprocess |
| from termcolor import cprint |
|
|
| from omegaconf import DictConfig, ListConfig, OmegaConf |
| def get_config(): |
| cli_conf = OmegaConf.from_cli() |
| yaml_conf = OmegaConf.load(cli_conf.config) |
| conf = OmegaConf.merge(yaml_conf, cli_conf) |
| return conf |
|
|
| if __name__ == "__main__": |
| config = get_config() |
|
|
| project_name = config.experiment.project |
| eval_type = config.dataset.data_type |
|
|
| def begin_with(file_name): |
| with open(file_name, "w") as f: |
| f.write("") |
| |
| def sample(model_base): |
| cprint(f"This is sampling.", color = "green") |
| if model_base == "dream": |
| subprocess.run( |
| f'python dream_sample.py ' |
| f'config=../configs/{project_name}.yaml ', |
| shell=True, |
| cwd='sample', |
| check=True, |
| ) |
| elif model_base == "llada": |
| subprocess.run( |
| f'python llada_sample.py ' |
| f'config=../configs/{project_name}.yaml ', |
| shell=True, |
| cwd='sample', |
| check=True, |
| ) |
| elif model_base == "sdar": |
| subprocess.run( |
| f'python sdar_sample.py ' |
| f'config=../configs/{project_name}.yaml ', |
| shell=True, |
| cwd='sample', |
| check=True, |
| ) |
| elif model_base == "trado": |
| subprocess.run( |
| f'python trado_sample.py ' |
| f'config=../configs/{project_name}.yaml ', |
| shell=True, |
| cwd='sample', |
| check=True, |
| ) |
| |
| def reward(): |
| cprint(f"This is the rewarding.", color = "green") |
| subprocess.run( |
| f'python reward.py ' |
| f'config=../configs/{project_name}.yaml ', |
| shell=True, |
| cwd='reward', |
| check=True, |
| ) |
| |
| def execute(): |
| cprint(f"This is the execution.", color = "green") |
| subprocess.run( |
| f'python execute.py ' |
| f'config=../configs/{project_name}.yaml ', |
| shell=True, |
| cwd='reward', |
| check=True, |
| ) |
| |
| |
| |
| os.makedirs(f"{project_name}/results", exist_ok=True) |
| |
| |
| sample(config.model_base) |
| if eval_type == "code": |
| execute() |
| |
| reward() |
|
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