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server: remove warmup methods everywhere

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This commit is contained in:
Mathieu Virbel
2023-10-05 23:44:50 +02:00
committed by Mathieu Virbel
parent 50b89ecdda
commit 47f7e1836e
11 changed files with 2 additions and 134 deletions
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11
server/gpu/modal/README.md
View File

@@ -43,17 +43,6 @@ Authentication must be passed with the `Authorization` header, using the `bearer
Authorization: bearer <REFLECTOR_APIKEY>
```
### Warmup (both)
`POST /warmup`
**response**
```
{
"status": "ok"
}
```
### LLM
`POST /llm`

9
server/gpu/modal/reflector_llm.py
View File

@@ -111,11 +111,6 @@ class LLM:
def __exit__(self, *args):
print("Exit llm")
@method()
def warmup(self):
print("Warmup ok")
return {"status": "ok"}
@method()
def generate(self, prompt: str, gen_schema: str | None, gen_cfg: str | None) -> dict:
"""
@@ -201,8 +196,4 @@ def web():
result = func.get()
return result
@app.post("/warmup", dependencies=[Depends(apikey_auth)])
async def warmup():
return llmstub.warmup.spawn().get()
return app

8
server/gpu/modal/reflector_transcriber.py
View File

@@ -185,10 +185,6 @@ class Transcriber:
dtype=torch.float32
)
@method()
def warmup(self):
return {"status": "ok"}
@method()
def transcribe_segment(
self,
@@ -334,8 +330,4 @@ def web():
result = func.get()
return result
@app.post("/warmup", dependencies=[Depends(apikey_auth)])
async def warmup():
return transcriberstub.warmup.spawn().get()
return app

18
server/reflector/llm/base.py
View File

@@ -1,17 +1,15 @@
import importlib
import json
import re
from time import monotonic
from typing import TypeVar
import nltk
from prometheus_client import Counter, Histogram
from transformers import GenerationConfig
from reflector.llm.llm_params import TaskParams
from reflector.logger import logger as reflector_logger
from reflector.settings import settings
from reflector.utils.retry import retry
from transformers import GenerationConfig
T = TypeVar("T", bound="LLM")
@@ -112,20 +110,6 @@ class LLM:
self.m_generate_success = self.m_generate_success.labels(name)
self.m_generate_failure = self.m_generate_failure.labels(name)
async def warmup(self, logger: reflector_logger):
start = monotonic()
name = self.__class__.__name__
logger.info(f"LLM[{name}] warming up...")
try:
await self._warmup(logger=logger)
duration = monotonic() - start
logger.info(f"LLM[{name}] warmup took {duration:.2f} seconds")
except Exception:
logger.exception(f"LLM[{name}] warmup failed, ignoring")
async def _warmup(self, logger: reflector_logger):
pass
@property
def tokenizer(self):
"""

13
server/reflector/llm/llm_modal.py
View File

@@ -1,10 +1,9 @@
import httpx
from transformers import AutoTokenizer, GenerationConfig
from reflector.llm.base import LLM
from reflector.logger import logger as reflector_logger
from reflector.settings import settings
from reflector.utils.retry import retry
from transformers import AutoTokenizer, GenerationConfig
class ModalLLM(LLM):
@@ -12,7 +11,6 @@ class ModalLLM(LLM):
super().__init__()
self.timeout = settings.LLM_TIMEOUT
self.llm_url = settings.LLM_URL + "/llm"
self.llm_warmup_url = settings.LLM_URL + "/warmup"
self.headers = {
"Authorization": f"Bearer {settings.LLM_MODAL_API_KEY}",
}
@@ -27,15 +25,6 @@ class ModalLLM(LLM):
# Replace this with a HTTP call
return ["lmsys/vicuna-13b-v1.5"]
async def _warmup(self, logger):
async with httpx.AsyncClient() as client:
response = await client.post(
self.llm_warmup_url,
headers=self.headers,
timeout=60 * 5,
)
response.raise_for_status()
async def _generate(
self, prompt: str, gen_schema: dict | None, gen_cfg: dict | None, **kwargs
):

3
server/reflector/processors/audio_transcript_auto.py
View File

@@ -52,9 +52,6 @@ class AudioTranscriptAutoProcessor(AudioTranscriptProcessor):
def off(self, callback):
self.processor.off(callback)
async def _warmup(self):
return await self.processor._warmup()
async def _push(self, data: AudioFile):
return await self.processor._push(data)

20
server/reflector/processors/audio_transcript_modal.py
View File

@@ -12,10 +12,7 @@ API will be a POST request to TRANSCRIPT_URL:
"""
from time import monotonic
import httpx
from reflector.processors.audio_transcript import AudioTranscriptProcessor
from reflector.processors.audio_transcript_auto import AudioTranscriptAutoProcessor
from reflector.processors.types import AudioFile, Transcript, Word
@@ -27,26 +24,9 @@ class AudioTranscriptModalProcessor(AudioTranscriptProcessor):
def __init__(self, modal_api_key: str):
super().__init__()
self.transcript_url = settings.TRANSCRIPT_URL + "/transcribe"
self.warmup_url = settings.TRANSCRIPT_URL + "/warmup"
self.timeout = settings.TRANSCRIPT_TIMEOUT
self.headers = {"Authorization": f"Bearer {modal_api_key}"}
async def _warmup(self):
try:
async with httpx.AsyncClient() as client:
start = monotonic()
self.logger.debug("Transcribe modal: warming up...")
response = await client.post(
self.warmup_url,
headers=self.headers,
timeout=self.timeout,
)
response.raise_for_status()
duration = monotonic() - start
self.logger.debug(f"Transcribe modal: warmup took {duration:.2f}s")
except Exception:
self.logger.exception("Transcribe modal: warmup failed")
async def _transcript(self, data: AudioFile):
async with httpx.AsyncClient() as client:
self.logger.debug(f"Try to transcribe audio {data.name}")

30
server/reflector/processors/base.py
View File

@@ -5,7 +5,6 @@ from uuid import uuid4
from prometheus_client import Counter, Gauge, Histogram
from pydantic import BaseModel
from reflector.logger import logger
@@ -18,7 +17,6 @@ class PipelineEvent(BaseModel):
class Processor:
INPUT_TYPE: type = None
OUTPUT_TYPE: type = None
WARMUP_EVENT: str = "WARMUP_EVENT"
m_processor = Histogram(
"processor",
@@ -172,21 +170,12 @@ class Processor:
def describe(self, level=0):
logger.info(" " * level + self.__class__.__name__)
async def warmup(self):
"""
Warmup the processor
"""
await self._warmup()
async def _push(self, data):
raise NotImplementedError
async def _flush(self):
pass
async def _warmup(self):
pass
@classmethod
def as_threaded(cls, *args, **kwargs):
"""
@@ -242,12 +231,6 @@ class ThreadedProcessor(Processor):
if data is None:
await self.processor.flush()
break
if data == self.WARMUP_EVENT:
self.logger.debug(
f"Warming up {self.processor.__class__.__name__}"
)
await self.processor.warmup()
continue
try:
await self.processor.push(data)
except Exception:
@@ -258,9 +241,6 @@ class ThreadedProcessor(Processor):
finally:
self.queue.task_done()
async def _warmup(self):
await self.queue.put(self.WARMUP_EVENT)
async def _push(self, data):
await self.queue.put(data)
@@ -309,10 +289,6 @@ class BroadcastProcessor(Processor):
for processor in self.processors:
processor.set_pipeline(pipeline)
async def _warmup(self):
for processor in self.processors:
await processor.warmup()
async def _push(self, data):
for processor in self.processors:
await processor.push(data)
@@ -352,7 +328,6 @@ class Pipeline(Processor):
OUTPUT_TYPE = None
def __init__(self, *processors: Processor):
self._warmed_up = False
super().__init__()
self.logger = logger.bind(pipeline=self.uid)
self.logger.info("Pipeline created")
@@ -369,11 +344,6 @@ class Pipeline(Processor):
self.INPUT_TYPE = processors[0].INPUT_TYPE
self.OUTPUT_TYPE = processors[-1].OUTPUT_TYPE
async def _warmup(self):
for processor in self.processors:
self.logger.debug(f"Warming up {processor.__class__.__name__}")
await processor.warmup()
async def _push(self, data):
await self.processors[0].push(data)

3
server/reflector/processors/transcript_topic_detector.py
View File

@@ -22,9 +22,6 @@ class TranscriptTopicDetectorProcessor(Processor):
self.llm = LLM.get_instance()
self.params = LLMTaskParams.get_instance(self.TASK).task_params
async def _warmup(self):
await self.llm.warmup(logger=self.logger)
async def _push(self, data: Transcript):
if self.transcript is None:
self.transcript = data

18
server/reflector/processors/transcript_translator.py
View File

@@ -1,5 +1,3 @@
from time import monotonic
import httpx
from reflector.processors.base import Processor
from reflector.processors.types import Transcript, TranslationLanguages
@@ -22,22 +20,6 @@ class TranscriptTranslatorProcessor(Processor):
self.timeout = settings.TRANSCRIPT_TIMEOUT
self.headers = {"Authorization": f"Bearer {settings.LLM_MODAL_API_KEY}"}
async def _warmup(self):
try:
async with httpx.AsyncClient() as client:
start = monotonic()
self.logger.debug("Translate modal: warming up...")
response = await client.post(
settings.TRANSCRIPT_URL + "/warmup",
headers=self.headers,
timeout=self.timeout,
)
response.raise_for_status()
duration = monotonic() - start
self.logger.debug(f"Translate modal: warmup took {duration:.2f}s")
except Exception:
self.logger.exception("Translate modal: warmup failed")
async def _push(self, data: Transcript):
self.transcript = data
await self.flush()

3
server/reflector/views/rtc_offer.py
View File

@@ -8,7 +8,6 @@ from aiortc import MediaStreamTrack, RTCPeerConnection, RTCSessionDescription
from fastapi import APIRouter, Request
from prometheus_client import Gauge
from pydantic import BaseModel
from reflector.events import subscribers_shutdown
from reflector.logger import logger
from reflector.processors import (
@@ -239,8 +238,6 @@ async def rtc_offer_base(
ctx.pipeline = Pipeline(*processors)
ctx.pipeline.set_pref("audio:source_language", source_language)
ctx.pipeline.set_pref("audio:target_language", target_language)
# FIXME: warmup is not working well yet
# await ctx.pipeline.warmup()
# handle RTC peer connection
pc = RTCPeerConnection()