Download swift/cli/main.py from eve1f/ckpt: direct link, hf CLI and curl.
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https://huggingface.co/datasets/eve1f/ckpt/resolve/main/swift/cli/main.py
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curl -L -o main.py https://huggingface.co/datasets/eve1f/ckpt/resolve/main/swift/cli/main.py
2.28 kB
| # Copyright (c) Alibaba, Inc. and its affiliates. | |
| import importlib.util | |
| import os | |
| import subprocess | |
| import sys | |
| from typing import Dict, List, Optional | |
| from swift.utils import get_logger | |
| logger = get_logger() | |
| ROUTE_MAPPING: Dict[str, str] = { | |
| 'pt': 'swift.cli.pt', | |
| 'sft': 'swift.cli.sft', | |
| 'infer': 'swift.cli.infer', | |
| 'merge-lora': 'swift.cli.merge_lora', | |
| 'web-ui': 'swift.cli.web_ui', | |
| 'deploy': 'swift.cli.deploy', | |
| 'rollout': 'swift.cli.rollout', | |
| 'rlhf': 'swift.cli.rlhf', | |
| 'sample': 'swift.cli.sample', | |
| 'export': 'swift.cli.export', | |
| 'eval': 'swift.cli.eval', | |
| 'app': 'swift.cli.app', | |
| } | |
| def use_torchrun() -> bool: | |
| nproc_per_node = os.getenv('NPROC_PER_NODE') | |
| nnodes = os.getenv('NNODES') | |
| if nproc_per_node is None and nnodes is None: | |
| return False | |
| return True | |
| def get_torchrun_args() -> Optional[List[str]]: | |
| if not use_torchrun(): | |
| return | |
| torchrun_args = [] | |
| for env_key in ['NPROC_PER_NODE', 'MASTER_PORT', 'NNODES', 'NODE_RANK', 'MASTER_ADDR']: | |
| env_val = os.getenv(env_key) | |
| if env_val is None: | |
| continue | |
| torchrun_args += [f'--{env_key.lower()}', env_val] | |
| return torchrun_args | |
| def _compat_web_ui(argv): | |
| # [compat] | |
| method_name = argv[0] | |
| if method_name in {'web-ui', 'web_ui'} and ('--model' in argv or '--adapters' in argv or '--ckpt_dir' in argv): | |
| argv[0] = 'app' | |
| logger.warning('Please use `swift app`.') | |
| def cli_main(route_mapping: Optional[Dict[str, str]] = None) -> None: | |
| route_mapping = route_mapping or ROUTE_MAPPING | |
| argv = sys.argv[1:] | |
| _compat_web_ui(argv) | |
| method_name = argv[0].replace('_', '-') | |
| argv = argv[1:] | |
| file_path = importlib.util.find_spec(route_mapping[method_name]).origin | |
| torchrun_args = get_torchrun_args() | |
| python_cmd = sys.executable | |
| if torchrun_args is None or method_name not in {'pt', 'sft', 'rlhf', 'infer'}: | |
| args = [python_cmd, file_path, *argv] | |
| else: | |
| args = [python_cmd, '-m', 'torch.distributed.run', *torchrun_args, file_path, *argv] | |
| print(f"run sh: `{' '.join(args)}`", flush=True) | |
| result = subprocess.run(args) | |
| if result.returncode != 0: | |
| sys.exit(result.returncode) | |
| if __name__ == '__main__': | |
| cli_main() | |