mailRe: r24100 - /branches/disp_spin_speed/test_suite/shared_data/dispersion/profiling/profiling_ns_r1rho_2site.py


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Posted by Troels Emtekær Linnet on June 18, 2014 - 17:09:
How?

MODEL_NS_R1RHO_2SITE
self.model.func_ns_r1rho_2site(params)

Best
Troels


2014-06-18 17:04 GMT+02:00 Edward d'Auvergne <edward@xxxxxxxxxxxxx>:

Hi Troels,

I'm guessing that you already know this, but this is still executing
the DPL94 model rather than NS R1rho 2-site model.

Regards,

Edward



On 18 June 2014 16:48,  <tlinnet@xxxxxxxxxxxxx> wrote:
Author: tlinnet
Date: Wed Jun 18 16:48:50 2014
New Revision: 24100

URL: http://svn.gna.org/viewcvs/relax?rev=24100&view=rev
Log:
Added profiling script for NS R1rho 2site.

Task #7807 (https://gna.org/task/index.php?7807): Speed-up of
dispersion models for Clustered analysis.

Modified:

branches/disp_spin_speed/test_suite/shared_data/dispersion/profiling/profiling_ns_r1rho_2site.py

Modified:
branches/disp_spin_speed/test_suite/shared_data/dispersion/profiling/profiling_ns_r1rho_2site.py
URL:
http://svn.gna.org/viewcvs/relax/branches/disp_spin_speed/test_suite/shared_data/dispersion/profiling/profiling_ns_r1rho_2site.py?rev=24100&r1=24099&r2=24100&view=diff

==============================================================================
---
branches/disp_spin_speed/test_suite/shared_data/dispersion/profiling/profiling_ns_r1rho_2site.py
   (original)
+++
branches/disp_spin_speed/test_suite/shared_data/dispersion/profiling/profiling_ns_r1rho_2site.py
   Wed Jun 18 16:48:50 2014
@@ -63,7 +63,7 @@
 def main():
     if True:
         # Nr of iterations.
-        nr_iter = 1000
+        nr_iter = 10

         # Print statistics.
         verbose = True
@@ -523,11 +523,11 @@
         """

         # Return chi2 value.
-        chi2 = self.model.func_DPL94(params)
+        chi2 = self.model.func_ns_r1rho_2site(params)
         return chi2


-def single(num_spins=1, model=MODEL_DPL94, iter=None):
+def single(num_spins=1, model=MODEL_NS_R1RHO_2SITE, iter=None):
     """Calculate for a single spin.

     @keyword num_spins:     Number of spins in the cluster.
@@ -541,7 +541,7 @@
     """

     # Instantiate class
-    C1 = Profile(num_spins=num_spins, model=model, r2=5.0, phi_ex=1.0,
kex=5000.0, spins_params=['r2', 'phi_ex', 'kex'])
+    C1 = Profile(num_spins=num_spins, model=model, r2=5.0, dw=1.0,
pA=0.9, kex=5000.0, spins_params=['r2', 'dw', 'pA', 'kex'])

     # Loop 100 times for each spin in the clustered analysis (to make
the timing numbers equivalent).
     for spin_index in xrange(100):
@@ -551,7 +551,7 @@
     print("chi2 single:", chi2)


-def cluster(num_spins=100, model=MODEL_DPL94, iter=None):
+def cluster(num_spins=100, model=MODEL_NS_R1RHO_2SITE, iter=None):
     """Calculate for a number of clustered spins.

     @keyword num_spins:     Number of spins in the cluster.
@@ -565,7 +565,7 @@
     """

     # Instantiate class
-    C1 = Profile(num_spins=num_spins, model=model, r2=5.0, phi_ex=1.0,
kex=5000.0, spins_params=['r2', 'phi_ex', 'kex'])
+    C1 = Profile(num_spins=num_spins, model=model, r2=5.0, dw=1.0,
pA=0.9, kex=5000.0, spins_params=['r2', 'dw', 'pA', 'kex'])

     # Repeat the function call, to simulate minimisation.
     for i in xrange(iter):


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