File size: 6,875 Bytes
ec0c335
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
import asyncio
import threading
import time
from typing import List

from fastapi import FastAPI, Request, BackgroundTasks
from fastapi.responses import StreamingResponse, JSONResponse
import requests

from fastchat.constants import WORKER_HEART_BEAT_INTERVAL
from fastchat.conversation import Conversation
from fastchat.utils import pretty_print_semaphore, build_logger


worker = None
logger = None

app = FastAPI()


def heart_beat_worker(obj):
    while True:
        time.sleep(WORKER_HEART_BEAT_INTERVAL)
        obj.send_heart_beat()


class BaseModelWorker:
    def __init__(
        self,
        controller_addr: str,
        worker_addr: str,
        worker_id: str,
        model_path: str,
        model_names: List[str],
        limit_worker_concurrency: int,
        conv_template: str = None,
    ):
        global logger, worker

        self.controller_addr = controller_addr
        self.worker_addr = worker_addr
        self.worker_id = worker_id
        if model_path.endswith("/"):
            model_path = model_path[:-1]
        self.model_names = model_names or [model_path.split("/")[-1]]
        self.limit_worker_concurrency = limit_worker_concurrency
        self.conv = self.make_conv_template(conv_template, model_path)
        self.conv.sep_style = int(self.conv.sep_style)
        self.tokenizer = None
        self.context_len = None
        self.call_ct = 0
        self.semaphore = None

        self.heart_beat_thread = None

        if logger is None:
            logger = build_logger("model_worker", f"model_worker_{self.worker_id}.log")
        if worker is None:
            worker = self

    def make_conv_template(
        self,
        conv_template: str = None,
        model_path: str = None,
    ) -> Conversation:
        """
        can be overrided to costomize the conversation template for different model workers.
        """
        from fastchat.conversation import get_conv_template
        from fastchat.model.model_adapter import get_conversation_template

        if conv_template:
            conv = get_conv_template(conv_template)
        else:
            conv = get_conversation_template(model_path)
        return conv

    def init_heart_beat(self):
        self.register_to_controller()
        self.heart_beat_thread = threading.Thread(
            target=heart_beat_worker,
            args=(self,),
            daemon=True,
        )
        self.heart_beat_thread.start()

    def register_to_controller(self):
        logger.info("Register to controller")

        url = self.controller_addr + "/register_worker"
        data = {
            "worker_name": self.worker_addr,
            "check_heart_beat": True,
            "worker_status": self.get_status(),
        }
        r = requests.post(url, json=data)
        assert r.status_code == 200

    def send_heart_beat(self):
        logger.info(
            f"Send heart beat. Models: {self.model_names}. "
            f"Semaphore: {pretty_print_semaphore(self.semaphore)}. "
            f"call_ct: {self.call_ct}. "
            f"worker_id: {self.worker_id}. "
        )

        url = self.controller_addr + "/receive_heart_beat"

        while True:
            try:
                ret = requests.post(
                    url,
                    json={
                        "worker_name": self.worker_addr,
                        "queue_length": self.get_queue_length(),
                    },
                    timeout=5,
                )
                exist = ret.json()["exist"]
                break
            except (requests.exceptions.RequestException, KeyError) as e:
                logger.error(f"heart beat error: {e}")
            time.sleep(5)

        if not exist:
            self.register_to_controller()

    def get_queue_length(self):
        if (
            self.semaphore is None
            or self.semaphore._value is None
            or self.semaphore._waiters is None
        ):
            return 0
        else:
            return (
                self.limit_worker_concurrency
                - self.semaphore._value
                + len(self.semaphore._waiters)
            )

    def get_status(self):
        return {
            "model_names": self.model_names,
            "speed": 1,
            "queue_length": self.get_queue_length(),
        }

    def count_token(self, params):
        prompt = params["prompt"]

        try:
            input_ids = self.tokenizer(prompt).input_ids
            input_echo_len = len(input_ids)
        except TypeError:
            input_echo_len = self.tokenizer.num_tokens(prompt)

        ret = {
            "count": input_echo_len,
            "error_code": 0,
        }
        return ret

    def get_conv_template(self):
        return {"conv": self.conv}

    def generate_stream_gate(self, params):
        raise NotImplementedError

    def generate_gate(self, params):
        raise NotImplementedError

    def get_embeddings(self, params):
        raise NotImplementedError


def release_worker_semaphore():
    worker.semaphore.release()


def acquire_worker_semaphore():
    if worker.semaphore is None:
        worker.semaphore = asyncio.Semaphore(worker.limit_worker_concurrency)
    return worker.semaphore.acquire()


def create_background_tasks():
    background_tasks = BackgroundTasks()
    background_tasks.add_task(release_worker_semaphore)
    return background_tasks


@app.post("/worker_generate_stream")
async def api_generate_stream(request: Request):
    logger.info("base_model_worker")
    params = await request.json()
    logger.info(f'params: {params}')
    await acquire_worker_semaphore()
    generator = worker.generate_stream_gate(params)
    background_tasks = create_background_tasks()
    return StreamingResponse(generator, background=background_tasks)


@app.post("/worker_generate")
async def api_generate(request: Request):
    params = await request.json()
    await acquire_worker_semaphore()
    output = await asyncio.to_thread(worker.generate_gate, params)
    release_worker_semaphore()
    return JSONResponse(output)


@app.post("/worker_get_embeddings")
async def api_get_embeddings(request: Request):
    params = await request.json()
    await acquire_worker_semaphore()
    embedding = worker.get_embeddings(params)
    release_worker_semaphore()
    return JSONResponse(content=embedding)


@app.post("/worker_get_status")
async def api_get_status(request: Request):
    return worker.get_status()


@app.post("/count_token")
async def api_count_token(request: Request):
    params = await request.json()
    return worker.count_token(params)


@app.post("/worker_get_conv_template")
async def api_get_conv(request: Request):
    return worker.get_conv_template()


@app.post("/model_details")
async def api_model_details(request: Request):
    return {"context_length": worker.context_len}