-
Notifications
You must be signed in to change notification settings - Fork 5k
/
Copy pathcli.py
126 lines (114 loc) · 4.17 KB
/
cli.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
# Copyright 2025 the LlamaFactory team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
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 import logging
from .extras.env import VERSION, print_env
from .extras.misc import get_device_count, is_env_enabled, use_ray
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
)
WELCOME = (
"-" * 58
+ "\n"
+ f"| Welcome to LLaMA Factory, version {VERSION}"
+ " " * (21 - len(VERSION))
+ "|\n|"
+ " " * 56
+ "|\n"
+ "| Project page: https://github.com/hiyouga/LLaMA-Factory |\n"
+ "-" * 58
)
logger = logging.get_logger(__name__)
@unique
class Command(str, Enum):
API = "api"
CHAT = "chat"
ENV = "env"
EVAL = "eval"
EXPORT = "export"
TRAIN = "train"
WEBDEMO = "webchat"
WEBUI = "webui"
VER = "version"
HELP = "help"
def main():
command = sys.argv.pop(1) if len(sys.argv) != 1 else Command.HELP
if command == Command.API:
run_api()
elif command == Command.CHAT:
run_chat()
elif command == Command.ENV:
print_env()
elif command == Command.EVAL:
run_eval()
elif command == Command.EXPORT:
export_model()
elif command == Command.TRAIN:
force_torchrun = is_env_enabled("FORCE_TORCHRUN")
if force_torchrun or (get_device_count() > 1 and not use_ray()):
master_addr = os.getenv("MASTER_ADDR", "127.0.0.1")
master_port = os.getenv("MASTER_PORT", str(random.randint(20001, 29999)))
logger.info_rank0(f"Initializing distributed tasks at: {master_addr}:{master_port}")
process = subprocess.run(
(
"torchrun --nnodes {nnodes} --node_rank {node_rank} --nproc_per_node {nproc_per_node} "
"--master_addr {master_addr} --master_port {master_port} {file_name} {args}"
)
.format(
nnodes=os.getenv("NNODES", "1"),
node_rank=os.getenv("NODE_RANK", "0"),
nproc_per_node=os.getenv("NPROC_PER_NODE", str(get_device_count())),
master_addr=master_addr,
master_port=master_port,
file_name=launcher.__file__,
args=" ".join(sys.argv[1:]),
)
.split()
)
sys.exit(process.returncode)
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(f"Unknown command: {command}.")
if __name__ == "__main__":
main()