Author: tlinnet Date: Fri Jun 13 13:03:19 2014 New Revision: 23931 URL: http://svn.gna.org/viewcvs/relax?rev=23931&view=rev Log: Replaced target function for model LM63, to use higher dimensional numpy array structures. That makes the model much faster. Task #7807 (https://gna.org/task/index.php?7807): Speed-up of dispersion models for Clustered analysis. Modified: branches/disp_spin_speed/target_functions/relax_disp.py Modified: branches/disp_spin_speed/target_functions/relax_disp.py URL: http://svn.gna.org/viewcvs/relax/branches/disp_spin_speed/target_functions/relax_disp.py?rev=23931&r1=23930&r2=23931&view=diff ============================================================================== --- branches/disp_spin_speed/target_functions/relax_disp.py (original) +++ branches/disp_spin_speed/target_functions/relax_disp.py Fri Jun 13 13:03:19 2014 @@ -396,7 +396,7 @@ # Setup special numpy array structures, for higher dimensional computation. - test_models = [MODEL_B14, MODEL_B14_FULL, MODEL_CR72, MODEL_CR72_FULL, MODEL_DPL94, MODEL_M61, MODEL_M61B, MODEL_MP05, MODEL_TAP03, MODEL_TP02, MODEL_TSMFK01] + test_models = [MODEL_B14, MODEL_B14_FULL, MODEL_CR72, MODEL_CR72_FULL, MODEL_DPL94, MODEL_LM63, MODEL_M61, MODEL_M61B, MODEL_MP05, MODEL_TAP03, MODEL_TP02, MODEL_TSMFK01] if model in test_models + [MODEL_NOREX]: # Get the shape of back_calc structure. @@ -454,6 +454,7 @@ if model in MODEL_LIST_CPMG_FULL: self.cpmg_frqs_a = deepcopy(ones_a) + self.phi_ex_struct = deepcopy(zeros_a) if model in [MODEL_B14, MODEL_B14_FULL, MODEL_MMQ_CR72, MODEL_NS_CPMG_2SITE_3D, MODEL_NS_CPMG_2SITE_3D_FULL, MODEL_NS_CPMG_2SITE_EXPANDED, MODEL_NS_CPMG_2SITE_STAR, MODEL_NS_CPMG_2SITE_STAR_FULL, MODEL_NS_MMQ_2SITE, MODEL_NS_MMQ_3SITE, MODEL_NS_MMQ_3SITE_LINEAR, MODEL_TSMFK01, MODEL_NS_R1RHO_2SITE, MODEL_NS_R1RHO_3SITE, MODEL_NS_R1RHO_3SITE_LINEAR]: # Expand relax times. @@ -1201,32 +1202,25 @@ phi_ex = params[self.end_index[0]:self.end_index[1]] kex = params[self.end_index[1]] - # Initialise. - chi2_sum = 0.0 - - # Loop over the spins. - for si in range(self.num_spins): - # Loop over the spectrometer frequencies. - for mi in range(self.num_frq): - # The R20 index. - r20_index = mi + si*self.num_frq - - # Convert phi_ex from ppm^2 to (rad/s)^2. - phi_ex_scaled = phi_ex[si] * self.frqs[0][si][mi]**2 - - # Back calculate the R2eff values. - r2eff_LM63(r20=R20[r20_index], phi_ex=phi_ex_scaled, kex=kex, cpmg_frqs=self.cpmg_frqs[0][mi][0], back_calc=self.back_calc[0][si][mi][0], num_points=self.num_disp_points[0][si][mi][0]) - - # For all missing data points, set the back-calculated value to the measured values so that it has no effect on the chi-squared value. - for di in range(self.num_disp_points[0][si][mi][0]): - if self.missing[0][si][mi][0][di]: - self.back_calc[0][si][mi][0][di] = self.values[0][si][mi][0][di] - - # Calculate and return the chi-squared value. - chi2_sum += chi2(self.values[0][si][mi][0], self.back_calc[0][si][mi][0], self.errors[0][si][mi][0]) + # Convert phi_ex from ppm^2 to (rad/s)^2. Use the out argument, to pass directly to structure. + multiply( multiply.outer( phi_ex.reshape(self.NE, self.NS), self.nm_no_nd_struct ), self.frqs_a*self.frqs_a, out=self.phi_ex_struct ) + + # Reshape R20 to per experiment, spin and frequency. + self.r20_struct[:] = multiply.outer( R20.reshape(self.NE, self.NS, self.NM), self.no_nd_struct ) + + # Back calculate the R2eff values. + r2eff_LM63(r20=self.r20_struct, phi_ex=self.phi_ex_struct, kex=kex, cpmg_frqs=self.cpmg_frqs_a, back_calc=self.back_calc_a) + + # Clean the data for all values, which is left over at the end of arrays. + self.back_calc_a = self.back_calc_a*self.disp_struct + + ## For all missing data points, set the back-calculated value to the measured values so that it has no effect on the chi-squared value. + if self.has_missing: + # Replace with values. + self.back_calc_a[self.mask_replace_blank.mask] = self.values_a[self.mask_replace_blank.mask] # Return the total chi-squared value. - return chi2_sum + return chi2_rankN(self.values_a, self.back_calc_a, self.errors_a) def func_M61(self, params):