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weaved some rbf code
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2 changed files with 54 additions and 5 deletions
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@ -229,13 +229,18 @@ class model(parameterised):
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Ensure that any variables which should clearly be positive have been constrained somehow.
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"""
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positive_strings = ['variance','lengthscale', 'precision']
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param_names = self._get_param_names()
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currently_constrained = self.all_constrained_indices()
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to_make_positive = []
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for s in positive_strings:
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for i in self.grep_param_names(s):
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if not (i in self.all_constrained_indices()):
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name = self._get_param_names()[i]
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self.constrain_positive(name)
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if not (i in currently_constrained):
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to_make_positive.append(param_names[i])
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if warn:
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print "Warning! constraining %s postive"%name
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if len(to_make_positive):
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self.constrain_positive('('+'|'.join(to_make_positive)+')')
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def objective_function(self, x):
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@ -5,6 +5,7 @@
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from kernpart import kernpart
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import numpy as np
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import hashlib
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from scipy import weave
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class rbf(kernpart):
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"""
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@ -217,8 +218,51 @@ class rbf(kernpart):
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#psi2
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self._psi2_denom = 2.*S[:,None,None,:]/self.lengthscale2+1. # N,M,M,Q
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self._psi2_mudist = mu[:,None,None,:]-self._psi2_Zhat #N,M,M,Q
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self._psi2_mudist_sq = np.square(self._psi2_mudist)/(self.lengthscale2*self._psi2_denom)
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self._psi2_exponent = np.sum(-self._psi2_Zdist_sq/4. -self._psi2_mudist_sq -0.5*np.log(self._psi2_denom),-1) #N,M,M
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self._psi2_mudist_sq, self._psi2_exponent, _ = self.weave_stuff()
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#self._psi2_mudist_sq = np.square(self._psi2_mudist)/(self.lengthscale2*self._psi2_denom)
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#self._psi2_exponent = np.sum(-self._psi2_Zdist_sq/4. -self._psi2_mudist_sq -0.5*np.log(self._psi2_denom),-1) #N,M,M
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self._psi2 = np.square(self.variance)*np.exp(self._psi2_exponent) # N,M,M
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#store matrices for caching
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self._Z, self._mu, self._S = Z, mu,S
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def weave_psi2(self):
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weave_options = {'extra_compile_args': ['-O3']}
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N,M,M,Q = self._psi2_mudist.shape
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mudist = self._psi2_mudist
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psi2_Zdist_sq = self._psi2_Zdist_sq
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mudist_sq = np.empty((N,M,M,Q))
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psi2_exponent = np.zeros((N,M,M))
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psi2 = np.empty((N,M,M))
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half_log_psi2_denom = 0.5*np.log(self._psi2_denom).squeeze()
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variance_sq = float(np.square(self.variance))
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if self.ARD:
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lengthscale2 = self.lengthscale2
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else:
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lengthscale2 = np.ones(Q)*self.lengthscale2
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_psi2_denom = self._psi2_denom.squeeze()
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code = """
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double tmp;
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for (int n=0; n<N; n++){
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for (int m=0; m<M; m++){
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for (int mm=0; mm<(m+1); mm++){
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for (int q=0; q<Q; q++){
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tmp = mudist(n,m,mm,q)*mudist(n,m,mm,q)/(lengthscale2(q)*_psi2_denom(n,q));
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mudist_sq(n,m,mm,q) = tmp;
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mudist_sq(n,mm,m,q) = tmp;
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tmp = -psi2_Zdist_sq(m,mm,q)/4.0 - tmp - half_log_psi2_denom(n,q);
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psi2_exponent(n,mm,m) += tmp;
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if (m !=mm){
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psi2_exponent(n,m,mm) += tmp;
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}
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//tmp = variance_sq*exp(psi2_exponent(n,m,mm));
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//psi2(n,m,mm) = tmp;
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//psi2(n,mm,m) = tmp;
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}
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}
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}
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}
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"""
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weave.inline(code,support_code='#include "math.h"',arg_names=['N','M','Q','mudist_sq','mudist','lengthscale2','_psi2_denom','psi2_Zdist_sq','psi2_exponent','half_log_psi2_denom','psi2','variance_sq'],type_converters=weave.converters.blitz,**weave_options)
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return mudist_sq, psi2_exponent, psi2
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