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Add worker benchmark api

pull/26/head
Guillermo Rodriguez 2023-10-08 19:36:52 -03:00
parent 3d2069d151
commit edd6ccc3e1
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GPG Key ID: EC3AB66D5D83B392
6 changed files with 249 additions and 269 deletions
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@ -343,6 +354,17 @@ torchvision = "*"
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{file = "wrapt-1.15.0.tar.gz", hash = "sha256:d06730c6aed78cee4126234cf2d071e01b44b915e725a6cb439a879ec9754a3a"},
{file = "wsproto-1.2.0-py3-none-any.whl", hash = "sha256:b9acddd652b585d75b20477888c56642fdade28bdfd3579aa24a4d2c037dd736"},
{file = "wsproto-1.2.0.tar.gz", hash = "sha256:ad565f26ecb92588a3e43bc3d96164de84cd9902482b130d0ddbaa9664a85065"},
]
[package.dependencies]
h11 = ">=0.9.0,<1"
[[package]]
name = "xformers"
version = "0.0.22"
@ -3912,4 +3832,4 @@ cffi = ["cffi (>=1.11)"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.10,<3.12"
content-hash = "4acde551673d4ecb752a3d22cd615b78ceacca6e9e1ad73bff2894c4455886a7"
content-hash = "a73740d3016e2a9c73faf9550ad289da966143744ba9d4b63d867ae5e506e0be"

1
pyproject.toml
View File

@ -43,6 +43,7 @@ numba = {version = '0.57.0'}
triton = {version = '2.0.0', source = 'torch'}
basicsr = {version = '^1.4.2'}
xformers = {version = "^0.0.22"}
hypercorn = {version = "^0.14.4"}
diffusers = {version = '^0.21.2'}
realesrgan = {version = '^0.3.0'}
torchvision = {version = '0.15.2+cu118', source = 'torch'}

1
skynet.toml.example
View File

@ -13,6 +13,7 @@ hf_home = 'hf_home'
hf_token = 'hf_XxXxXxXxXxXxXxXxXxXxXxXxXxXxXxXxXx'
auto_withdraw = true
non_compete = []
api_bind = '127.0.0.1:42690'
[skynet.telegram]
account = 'telegram'

13
skynet/dgpu/__init__.py
View File

@ -2,6 +2,9 @@
import trio
from hypercorn.config import Config
from hypercorn.trio import serve
from skynet.dgpu.compute import SkynetMM
from skynet.dgpu.daemon import SkynetDGPUDaemon
from skynet.dgpu.network import SkynetGPUConnector
@ -12,6 +15,16 @@ async def open_dgpu_node(config: dict):
mm = SkynetMM(config)
daemon = SkynetDGPUDaemon(mm, conn, config)
api = None
if 'api_bind' in config:
api_conf = Config()
api_conf.bind = [config['api_bind']]
api = await daemon.generate_api()
async with trio.open_nursery() as n:
n.start_soon(daemon.snap_updater_task)
if api:
n.start_soon(serve, api, api_conf)
await daemon.serve_forever()

2
skynet/dgpu/compute.py
View File

@ -176,7 +176,7 @@ class SkynetMM:
num_inference_steps=step,
generator=seed,
callback=maybe_cancel_work,
callback_steps=2,
callback_steps=1,
**extra_params
).images[0]

51
skynet/dgpu/daemon.py
View File

@ -3,13 +3,19 @@
import json
import random
import logging
import time
import traceback
from hashlib import sha256
from datetime import datetime
from functools import partial
import trio
from skynet.constants import MODELS
from quart import jsonify
from quart_trio import QuartTrio as Quart
from skynet.constants import MODELS, VERSION
from skynet.dgpu.errors import *
from skynet.dgpu.compute import SkynetMM
@ -39,6 +45,8 @@ class SkynetDGPUDaemon:
if 'auto_withdraw' in config else False
)
self.account = config['account']
self.non_compete = set()
if 'non_compete' in config:
self.non_compete = set(config['non_compete'])
@ -61,11 +69,31 @@ class SkynetDGPUDaemon:
'my_results': []
}
self._benchmark = []
self._last_benchmark = None
self._last_generation_ts = None
def _get_benchmark_speed(self) -> float:
if not self._last_benchmark:
return 0
start = self._last_benchmark[0]
end = self._last_benchmark[-1]
elapsed = end - start
its = len(self._last_benchmark)
speed = its / elapsed
logging.info(f'{elapsed} s total its: {its}, at {speed} it/s ')
return speed
async def should_cancel_work(self, request_id: int):
self._benchmark.append(time.time())
competitors = set([
status['worker']
for status in self._snap['requests'][request_id]
if status['worker'] != self.conn.account
if status['worker'] != self.account
])
return bool(self.non_compete & competitors)
@ -75,6 +103,20 @@ class SkynetDGPUDaemon:
self._snap = await self.conn.get_full_queue_snapshot()
await trio.sleep(1)
async def generate_api(self):
app = Quart(__name__)
@app.route('/')
async def health():
return jsonify(
account=self.account,
version=VERSION,
last_generation_ts=self._last_generation_ts,
last_generation_speed=self._get_benchmark_speed()
)
return app
async def serve_forever(self):
try:
while True:
@ -112,7 +154,7 @@ class SkynetDGPUDaemon:
continue
my_results = [res['id'] for res in self._snap['my_results']]
if rid not in my_results:
if rid not in my_results and rid in self._snap['requests']:
statuses = self._snap['requests'][rid]
if len(statuses) == 0:
@ -160,6 +202,9 @@ class SkynetDGPUDaemon:
case _:
raise DGPUComputeError(f'Unsupported backend {self.backend}')
self._last_generation_ts = datetime.now().isoformat()
self._last_benchmark = self._benchmark
self._benchmark = []
ipfs_hash = await self.conn.publish_on_ipfs(output, typ=output_type)