transformations are singletons now, weak refs for memory managment

This commit is contained in:
Max Zwiessele 2013-10-03 11:58:39 +01:00
parent 97787152e9
commit 645aa0f420

View file

@ -5,15 +5,15 @@
import numpy as np
from GPy.core.domains import POSITIVE, NEGATIVE, BOUNDED
import sys
import weakref
lim_val = -np.log(sys.float_info.epsilon)
class Transformation(object):
domain = None
_instance = None
def __new__(cls, *args, **kwargs):
if not cls._instance:
cls._instance = super(Transformation, cls).__new__(
cls, *args, **kwargs)
if not cls._instance or cls._instance.__class__ is not cls:
cls._instance = super(Transformation, cls).__new__(cls, *args, **kwargs)
return cls._instance
def f(self, x):
raise NotImplementedError
@ -62,14 +62,16 @@ class LogexpClipped(Logexp):
log_max_bound = np.log(max_bound)
log_min_bound = np.log(min_bound)
domain = POSITIVE
_instances = []
def __new__(cls, lower=1e-6, *args, **kwargs):
if not cls._instance:
cls._instance = super(Transformation, cls).__new__(
cls, lower, *args, **kwargs)
elif cls._instance.lower == lower:
return cls._instance
else:
return super(Transformation, cls).__new__(cls, lower, *args, **kwargs)
if cls._instances:
cls._instances[:] = [instance for instance in cls._instances if instance()]
for instance in cls._instances:
if instance().lower == lower:
return instance()
o = super(Transformation, cls).__new__(cls, lower, *args, **kwargs)
cls._instances.append(weakref.ref(o))
return cls._instances[-1]()
def __init__(self, lower=1e-6):
self.lower = lower
def f(self, x):
@ -136,19 +138,20 @@ class Square(Transformation):
class Logistic(Transformation):
domain = BOUNDED
_instances = []
def __new__(cls, lower=1e-6, upper=1e-6, *args, **kwargs):
if not cls._instance:
cls._instance = super(Transformation, cls).__new__(
cls, *args, **kwargs)
elif cls._instance.lower == lower and cls._instance.upper == upper:
return cls._instance
else:
return super(Transformation, cls).__new__(cls, *args, **kwargs)
if cls._instances:
cls._instances[:] = [instance for instance in cls._instances if instance()]
for instance in cls._instances:
if instance().lower == lower and instance().upper == upper:
return instance()
o = super(Transformation, cls).__new__(cls, lower, upper, *args, **kwargs)
cls._instances.append(weakref.ref(o))
return cls._instances[-1]()
def __init__(self, lower, upper):
assert lower < upper
self.lower, self.upper = float(lower), float(upper)
self.difference = self.upper - self.lower
return self
def f(self, x):
return self.lower + self.difference / (1. + np.exp(-x))
def finv(self, f):