def set_owner(self, model):
'''
To initialize the validation function
'''
controller.set_owner(self, model)
self.init_validation()
self.totalNum = 0
self.totalError = 0
def set_owner(self, model):
'''
To initialize the validation function
'''
controller.set_owner(self, model)
self.init_validation()
self.totalNum = 0
self.totalError = 0
def load_validator(model):
try:
with open( get_validator_fpath(), 'rb' ) as fi:
val = pickle.load(fi)
controller.set_owner(val, model)
return val
except Exception as ex:
print 'Exception occured in process of loading model'
print ex
def load_validator(model):
try:
with open(get_validator_fpath(), 'rb') as fi:
val = pickle.load(fi)
controller.set_owner(val, model)
return val
except Exception as ex:
print 'Exception occured in process of loading model'
print ex
def set_owner(self, nnet):
controller.set_owner(self, nnet)
'''
Be cautious that the init_track is called before the optimizer is actually set to nnet
That means all the methods in base nnetController is invalid
'''
self.init_track()
self.optimizer.set_owner(nnet)
for key in self.get_trackKeys():
self.trackDic[key] = []
def set_owner(self, nnet):
controller.set_owner(self, nnet)
'''
Be cautious that the init_track is called before the optimizer is actually set to nnet
That means all the methods in base nnetController is invalid
'''
self.init_track()
self.optimizer.set_owner(nnet)
for key in self.get_trackKeys():
self.trackDic[key] = []
def dump_validator(val):
net = val.get_owner()
controller.set_owner(val, None)
try:
with open( get_validator_fpath(), 'wb' ) as fi:
pickle.dump(val, fi)
except Exception as ex:
print 'Exception occured in process of dumping validator'
print ex
finally:
controller.set_owner(val, net)#preserve the validity of validator
def dump_validator(val):
net = val.get_owner()
controller.set_owner(val, None)
try:
with open(get_validator_fpath(), 'wb') as fi:
pickle.dump(val, fi)
except Exception as ex:
print 'Exception occured in process of dumping validator'
print ex
finally:
controller.set_owner(val, net) #preserve the validity of validator
def load_optimizer(model):
try:
with open( get_optimizer_fpath(), 'rb' ) as fi:
opt = pickle.load(fi)
controller.set_owner(opt, model)
if isinstance(opt, tracker):
controller.set_owner( opt.get_opt(), model )
return opt
except Exception as ex:
print 'Exception occured in process of loading model'
print ex
def load_optimizer(model):
try:
with open(get_optimizer_fpath(), 'rb') as fi:
opt = pickle.load(fi)
controller.set_owner(opt, model)
if isinstance(opt, tracker):
controller.set_owner(opt.get_opt(), model)
return opt
except Exception as ex:
print 'Exception occured in process of loading model'
print ex
def dump_optimizer(opt):
net = opt.get_owner()
controller.set_owner(opt, None)
if isinstance(opt, tracker):
controller.set_owner( opt.get_opt(), None )
try:
with open( get_optimizer_fpath(), 'wb' ) as fi:
pickle.dump(opt, fi)
except Exception as ex:
print 'Exception occured in process of dumping optimizer'
print ex
finally:
controller.set_owner(opt, net)#preserve the validity of the optimizer
if isinstance(opt, tracker):
controller.set_owner(opt.get_opt(), net)#preserve the validity of the optimizer
def dump_optimizer(opt):
net = opt.get_owner()
controller.set_owner(opt, None)
if isinstance(opt, tracker):
controller.set_owner(opt.get_opt(), None)
try:
with open(get_optimizer_fpath(), 'wb') as fi:
pickle.dump(opt, fi)
except Exception as ex:
print 'Exception occured in process of dumping optimizer'
print ex
finally:
controller.set_owner(opt, net) #preserve the validity of the optimizer
if isinstance(opt, tracker):
controller.set_owner(opt.get_opt(),
net) #preserve the validity of the optimizer
def set_owner(self, nnet):
'''
To initialize the cost function
'''
controller.set_owner(self, nnet)
self.init_train()
def set_owner(self, nnet):
'''
To initialize the cost function
'''
controller.set_owner(self, nnet)
self.init_train()