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3.35 kB
| import os | |
| import random | |
| import subprocess | |
| import sys | |
| from enum import Enum, unique | |
| from . import launcher | |
| from .api.app import run_api | |
| from .chat.chat_model import run_chat | |
| from .eval.evaluator import run_eval | |
| from .extras.logging import get_logger | |
| from .extras.misc import get_device_count | |
| from .train.tuner import export_model, run_exp | |
| from .webui.interface import run_web_demo, run_web_ui | |
| USAGE = ( | |
| "-" * 70 | |
| + "\n" | |
| + "| Usage: |\n" | |
| + "| llamafactory-cli api -h: launch an OpenAI-style API server |\n" | |
| + "| llamafactory-cli chat -h: launch a chat interface in CLI |\n" | |
| + "| llamafactory-cli eval -h: evaluate models |\n" | |
| + "| llamafactory-cli export -h: merge LoRA adapters and export model |\n" | |
| + "| llamafactory-cli train -h: train models |\n" | |
| + "| llamafactory-cli webchat -h: launch a chat interface in Web UI |\n" | |
| + "| llamafactory-cli webui: launch LlamaBoard |\n" | |
| + "| llamafactory-cli version: show version info |\n" | |
| + "-" * 70 | |
| ) | |
| VERSION = "0.7.2.dev0" | |
| WELCOME = ( | |
| "-" * 58 | |
| + "\n" | |
| + "| Welcome to LLaMA Factory, version {}".format(VERSION) | |
| + " " * (21 - len(VERSION)) | |
| + "|\n|" | |
| + " " * 56 | |
| + "|\n" | |
| + "| Project page: https://github.com/hiyouga/LLaMA-Factory |\n" | |
| + "-" * 58 | |
| ) | |
| logger = get_logger(__name__) | |
| class Command(str, Enum): | |
| API = "api" | |
| CHAT = "chat" | |
| EVAL = "eval" | |
| EXPORT = "export" | |
| TRAIN = "train" | |
| WEBDEMO = "webchat" | |
| WEBUI = "webui" | |
| VER = "version" | |
| HELP = "help" | |
| def main(): | |
| command = sys.argv.pop(1) | |
| if command == Command.API: | |
| run_api() | |
| elif command == Command.CHAT: | |
| run_chat() | |
| elif command == Command.EVAL: | |
| run_eval() | |
| elif command == Command.EXPORT: | |
| export_model() | |
| elif command == Command.TRAIN: | |
| if get_device_count() > 1: | |
| nnodes = os.environ.get("NNODES", "1") | |
| node_rank = os.environ.get("RANK", "0") | |
| nproc_per_node = os.environ.get("NPROC_PER_NODE", str(get_device_count())) | |
| master_addr = os.environ.get("MASTER_ADDR", "127.0.0.1") | |
| master_port = os.environ.get("MASTER_PORT", str(random.randint(20001, 29999))) | |
| logger.info("Initializing distributed tasks at: {}:{}".format(master_addr, master_port)) | |
| subprocess.run( | |
| [ | |
| "torchrun", | |
| "--nnodes", | |
| nnodes, | |
| "--node_rank", | |
| node_rank, | |
| "--nproc_per_node", | |
| nproc_per_node, | |
| "--master_addr", | |
| master_addr, | |
| "--master_port", | |
| master_port, | |
| launcher.__file__, | |
| *sys.argv[1:], | |
| ] | |
| ) | |
| else: | |
| run_exp() | |
| elif command == Command.WEBDEMO: | |
| run_web_demo() | |
| elif command == Command.WEBUI: | |
| run_web_ui() | |
| elif command == Command.VER: | |
| print(WELCOME) | |
| elif command == Command.HELP: | |
| print(USAGE) | |
| else: | |
| raise NotImplementedError("Unknown command: {}".format(command)) | |