mirror of
https://github.com/SheffieldML/GPy.git
synced 2026-05-14 22:42:37 +02:00
(much) faster comparison between arrays. Useful for kernel caching
This commit is contained in:
parent
f19a26a006
commit
d46b07b18d
3 changed files with 50 additions and 7 deletions
|
|
@ -5,6 +5,7 @@
|
|||
from kernpart import Kernpart
|
||||
import numpy as np
|
||||
from ...util.linalg import tdot
|
||||
from ...util.misc import fast_array_equal
|
||||
from scipy import weave
|
||||
|
||||
class Linear(Kernpart):
|
||||
|
|
@ -266,7 +267,7 @@ class Linear(Kernpart):
|
|||
#---------------------------------------#
|
||||
|
||||
def _K_computations(self, X, X2):
|
||||
if not (np.array_equal(X, self._Xcache) and np.array_equal(X2, self._X2cache)):
|
||||
if not (fast_array_equal(X, self._Xcache) and fast_array_equal(X2, self._X2cache)):
|
||||
self._Xcache = X.copy()
|
||||
if X2 is None:
|
||||
self._dot_product = tdot(X)
|
||||
|
|
@ -277,8 +278,8 @@ class Linear(Kernpart):
|
|||
|
||||
def _psi_computations(self, Z, mu, S):
|
||||
# here are the "statistics" for psi1 and psi2
|
||||
Zv_changed = not (np.array_equal(Z, self._Z) and np.array_equal(self.variances, self._variances))
|
||||
muS_changed = not (np.array_equal(mu, self._mu) and np.array_equal(S, self._S))
|
||||
Zv_changed = not (fast_array_equal(Z, self._Z) and fast_array_equal(self.variances, self._variances))
|
||||
muS_changed = not (fast_array_equal(mu, self._mu) and fast_array_equal(S, self._S))
|
||||
if Zv_changed:
|
||||
# Z has changed, compute Z specific stuff
|
||||
# self.ZZ = Z[:,None,:]*Z[None,:,:] # num_inducing,num_inducing,input_dim
|
||||
|
|
|
|||
|
|
@ -7,6 +7,7 @@ import numpy as np
|
|||
import hashlib
|
||||
from scipy import weave
|
||||
from ...util.linalg import tdot
|
||||
from ...util.misc import fast_array_equal
|
||||
|
||||
class RBF(Kernpart):
|
||||
"""
|
||||
|
|
@ -222,7 +223,7 @@ class RBF(Kernpart):
|
|||
#---------------------------------------#
|
||||
|
||||
def _K_computations(self, X, X2):
|
||||
if not (np.array_equal(X, self._X) and np.array_equal(X2, self._X2) and np.array_equal(self._params , self._get_params())):
|
||||
if not (fast_array_equal(X, self._X) and fast_array_equal(X2, self._X2) and fast_array_equal(self._params , self._get_params())):
|
||||
self._X = X.copy()
|
||||
self._params == self._get_params().copy()
|
||||
if X2 is None:
|
||||
|
|
@ -239,14 +240,14 @@ class RBF(Kernpart):
|
|||
|
||||
def _psi_computations(self, Z, mu, S):
|
||||
# here are the "statistics" for psi1 and psi2
|
||||
if not np.array_equal(Z, self._Z):
|
||||
if not fast_array_equal(Z, self._Z):
|
||||
#Z has changed, compute Z specific stuff
|
||||
self._psi2_Zhat = 0.5*(Z[:,None,:] +Z[None,:,:]) # M,M,Q
|
||||
self._psi2_Zdist = 0.5*(Z[:,None,:]-Z[None,:,:]) # M,M,Q
|
||||
self._psi2_Zdist_sq = np.square(self._psi2_Zdist/self.lengthscale) # M,M,Q
|
||||
self._Z = Z
|
||||
|
||||
if not (np.array_equal(Z, self._Z) and np.array_equal(mu, self._mu) and np.array_equal(S, self._S)):
|
||||
if not (fast_array_equal(Z, self._Z) and fast_array_equal(mu, self._mu) and fast_array_equal(S, self._S)):
|
||||
#something's changed. recompute EVERYTHING
|
||||
|
||||
#psi1
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue