DeepFaceLab/joblib/SubprocessFunctionCaller.py
iperov 046649e6be
update == 04.20.2019 == (#242)
* superb improved fanseg

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* added FANseg extractor for src and dst faces to use it in training

* -

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* update to 'partial' func

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* trained FANSeg_256_full_face.h5,
new experimental models: AVATAR, RecycleGAN

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* fix for TCC mode cards(tesla), was conflict with plaidML initialization.

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* update manuals

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2019-04-20 08:23:08 +04:00

42 lines
1.3 KiB
Python

import time
import multiprocessing
class SubprocessFunctionCaller(object):
class CliFunction(object):
def __init__(self, s2c, c2s, lock):
self.s2c = s2c
self.c2s = c2s
self.lock = lock
def __call__(self, *args, **kwargs):
self.lock.acquire()
self.c2s.put ( {'args':args, 'kwargs':kwargs} )
while True:
if not self.s2c.empty():
obj = self.s2c.get()
self.lock.release()
return obj
time.sleep(0.005)
class HostProcessor(object):
def __init__(self, s2c, c2s, func):
self.s2c = s2c
self.c2s = c2s
self.func = func
def process_messages(self):
while not self.c2s.empty():
obj = self.c2s.get()
result = self.func ( *obj['args'], **obj['kwargs'] )
self.s2c.put (result)
@staticmethod
def make_pair( func ):
s2c = multiprocessing.Queue()
c2s = multiprocessing.Queue()
lock = multiprocessing.Lock()
host_processor = SubprocessFunctionCaller.HostProcessor (s2c, c2s, func)
cli_func = SubprocessFunctionCaller.CliFunction (s2c, c2s, lock)
return host_processor, cli_func