8
CONTROLLER_HEART_BEAT_EXPIRATION = 2 * 60
9
WORKER_HEART_BEAT_INTERVAL = 30
13
server_error_msg = "**NETWORK ERROR DUE TO HIGH TRAFFIC. PLEASE REGENERATE OR REFRESH THIS PAGE.**"
14
moderation_msg = "YOUR INPUT VIOLATES OUR CONTENT MODERATION GUIDELINES. PLEASE TRY AGAIN."
19
def build_logger(logger_name, logger_filename):
22
formatter = logging.Formatter(
23
fmt="%(asctime)s | %(levelname)s | %(name)s | %(message)s",
24
datefmt="%Y-%m-%d %H:%M:%S",
28
if not logging.getLogger().handlers:
29
logging.basicConfig(level=logging.INFO)
30
logging.getLogger().handlers[0].setFormatter(formatter)
33
stdout_logger = logging.getLogger("stdout")
34
stdout_logger.setLevel(logging.INFO)
35
sl = StreamToLogger(stdout_logger, logging.INFO)
38
stderr_logger = logging.getLogger("stderr")
39
stderr_logger.setLevel(logging.ERROR)
40
sl = StreamToLogger(stderr_logger, logging.ERROR)
44
logger = logging.getLogger(logger_name)
45
logger.setLevel(logging.INFO)
49
os.makedirs(LOGDIR, exist_ok=True)
50
filename = os.path.join(LOGDIR, logger_filename)
51
handler = logging.handlers.TimedRotatingFileHandler(filename, when="D", utc=True)
52
handler.setFormatter(formatter)
54
for name, item in logging.root.manager.loggerDict.items():
55
if isinstance(item, logging.Logger):
56
item.addHandler(handler)
61
class StreamToLogger(object):
63
Fake file-like stream object that redirects writes to a logger instance.
66
def __init__(self, logger, log_level=logging.INFO):
67
self.terminal = sys.stdout
69
self.log_level = log_level
72
def __getattr__(self, attr):
73
return getattr(self.terminal, attr)
76
temp_linebuf = self.linebuf + buf
78
for line in temp_linebuf.splitlines(True):
85
self.logger.log(self.log_level, line.rstrip())
90
if self.linebuf != "":
91
self.logger.log(self.log_level, self.linebuf.rstrip())
95
def disable_torch_init():
97
Disable the redundant torch default initialization to accelerate model creation.
101
setattr(torch.nn.Linear, "reset_parameters", lambda self: None)
102
setattr(torch.nn.LayerNorm, "reset_parameters", lambda self: None)
105
def violates_moderation(text):
107
Check whether the text violates OpenAI moderation API.
109
url = "https://api.openai.com/v1/moderations"
111
"Content-Type": "application/json",
112
"Authorization": "Bearer " + os.environ["OPENAI_API_KEY"],
114
text = text.replace("\n", "")
115
data = "{" + '"input": ' + f'"{text}"' + "}"
116
data = data.encode("utf-8")
118
ret = requests.post(url, headers=headers, data=data, timeout=25)
119
flagged = ret.json()["results"][0]["flagged"]
120
except requests.exceptions.RequestException as e:
122
except KeyError as e:
128
def pretty_print_semaphore(semaphore):
129
if semaphore is None:
131
return f"Semaphore(value={semaphore._value}, locked={semaphore.locked()})"