mail[bug #14176] FAIL: Constrained Newton opt, GMW Hessian mod, More and Thuente line search {S2=0.970, te=2048, Rex=0.149}


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Posted by Jack Howarth on August 23, 2009 - 01:54:

Follow-up Comment #3, bug #14176 (project relax):

Test does actually fail on i386 Darwin9 as well as x86_64 Darwin9...

FAIL: Constrained Newton opt, GMW Hessian mod, More and Thuente line search
{S2=0.970, te=2048, Rex=0.149}
----------------------------------------------------------------------

relax> pipe.create(pipe_name='mf', pipe_type='mf')

relax> sequence.read(file='noe.500.out',
dir='/sw/lib/relax-py26/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149',
mol_name_col=None, res_num_col=0, res_name_col=1, spin_num_col=None,
spin_name_col=None, sep=None)
Opening the file
'/sw/lib/relax-py26/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149/noe.500.out'
for reading.
Mol_name   Res_num    Res_name   Spin_num   Spin_name  
None       1          GLY        None       None       
None       2          ALA        None       None       

relax> relax_data.read(ri_label='R1', frq_label='600', frq=600000000.0,
file='r1.600.out',
dir='/sw/lib/relax-py26/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149',
mol_name_col=None, res_num_col=0, res_name_col=1, spin_num_col=None,
spin_name_col=None, data_col=2, error_col=3, sep=None)
Opening the file
'/sw/lib/relax-py26/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149/r1.600.out'
for reading.

relax> relax_data.read(ri_label='R2', frq_label='600', frq=600000000.0,
file='r2.600.out',
dir='/sw/lib/relax-py26/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149',
mol_name_col=None, res_num_col=0, res_name_col=1, spin_num_col=None,
spin_name_col=None, data_col=2, error_col=3, sep=None)
Opening the file
'/sw/lib/relax-py26/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149/r2.600.out'
for reading.

relax> relax_data.read(ri_label='NOE', frq_label='600', frq=600000000.0,
file='noe.600.out',
dir='/sw/lib/relax-py26/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149',
mol_name_col=None, res_num_col=0, res_name_col=1, spin_num_col=None,
spin_name_col=None, data_col=2, error_col=3, sep=None)
Opening the file
'/sw/lib/relax-py26/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149/noe.600.out'
for reading.

relax> relax_data.read(ri_label='R1', frq_label='500', frq=500000000.0,
file='r1.500.out',
dir='/sw/lib/relax-py26/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149',
mol_name_col=None, res_num_col=0, res_name_col=1, spin_num_col=None,
spin_name_col=None, data_col=2, error_col=3, sep=None)
Opening the file
'/sw/lib/relax-py26/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149/r1.500.out'
for reading.

relax> relax_data.read(ri_label='R2', frq_label='500', frq=500000000.0,
file='r2.500.out',
dir='/sw/lib/relax-py26/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149',
mol_name_col=None, res_num_col=0, res_name_col=1, spin_num_col=None,
spin_name_col=None, data_col=2, error_col=3, sep=None)
Opening the file
'/sw/lib/relax-py26/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149/r2.500.out'
for reading.

relax> relax_data.read(ri_label='NOE', frq_label='500', frq=500000000.0,
file='noe.500.out',
dir='/sw/lib/relax-py26/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149',
mol_name_col=None, res_num_col=0, res_name_col=1, spin_num_col=None,
spin_name_col=None, data_col=2, error_col=3, sep=None)
Opening the file
'/sw/lib/relax-py26/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149/noe.500.out'
for reading.

relax> diffusion_tensor.init(params=1e-08, time_scale=1.0, d_scale=1.0,
angle_units='deg', param_types=0, spheroid_type=None, fixed=True)

relax> value.set(val=1.0200000000000001e-10, param='bond_length',
spin_id=None)

relax> value.set(val=-0.00015999999999999999, param='csa', spin_id=None)

relax> value.set(val='15N', param='heteronucleus', spin_id=None)

relax> value.set(val='1H', param='proton', spin_id=None)

relax> model_free.select_model(model='m4', spin_id=None)

relax> value.set(val=[1.0, 0.0, 0.0], param=['S2', 'te', 'Rex'],
spin_id=None)

relax> minimise(*args=('newton', 'gmw', 'mt'), func_tol=1e-25,
max_iterations=10000000, constraints=True, scaling=True, verbosity=1)
Only the model-free parameters for single spins will be used.


Fitting to spin ':2&:ALA'
~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 1.,  0.,  0.])                                        
  fk: 3.9844117908982288  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  More and Thuente line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky
algorithm.

        k: 0       xk: array([ 1.,  0.,  0.])                                 
      
    fk: 3.9844117908982288  

        Parameter values: array([  0.90905499,  74.36909171,   1.22310096])
        Function value:   -1447.7789206948949
        Iterations:       4
        Function calls:   9
        Gradient calls:   9
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([  0.90905499,  74.36909171,   1.22310096])             
  fk: 48.121433050621448  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  More and Thuente line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky
algorithm.

        k: 0       xk: array([  0.90905499,  74.36909171,   1.22310096])      
      
    fk: 46.071609923379611  

        Parameter values: array([  9.69999996e-01,   2.04799919e+03,  
1.49000073e-01])
        Function value:   -2.0498231272415968
        Iterations:       15
        Function calls:   73
        Gradient calls:   73
        Hessian calls:    15
        Warning:          None


k: 2       xk: array([  9.69999996e-01,   2.04799919e+03,   1.49000073e-01]) 
  fk: 2.3886847781949838e-13
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  More and Thuente line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky
algorithm.

        k: 0       xk: array([  9.69999996e-01,   2.04799919e+03,   
1.49000073e-01])
    fk: 2.3886847781949838e-13

        Parameter values: array([  9.70000000e-01,   2.04800000e+03,  
1.49000000e-01])
        Function value:   5.9901622412100428e-25
        Iterations:       1
        Function calls:   3
        Gradient calls:   3
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  9.70000000e-01,   2.04800000e+03,   1.49000000e-01]) 
  fk: 5.9901622412100428e-25
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  More and Thuente line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky
algorithm.

        k: 0       xk: array([  9.70000000e-01,   2.04800000e+03,   
1.49000000e-01])
    fk: 5.9901622412100428e-25

        Parameter values: array([  9.70000000e-01,   2.04800000e+03,  
1.49000000e-01])
        Function value:   1.3932251944754991e-27
        Iterations:       1
        Function calls:   3
        Gradient calls:   3
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  9.70000000e-01,   2.04800000e+03,   1.49000000e-01]) 
  fk: 1.3932251944754991e-27
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  More and Thuente line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky
algorithm.

        k: 0       xk: array([  9.70000000e-01,   2.04800000e+03,   
1.49000000e-01])
    fk: 1.3932251944754991e-27

        Parameter values: array([  9.70000000e-01,   2.04800000e+03,  
1.49000000e-01])
        Function value:   8.3312601381368332e-28
        Iterations:       1
        Function calls:   3
        Gradient calls:   3
        Hessian calls:    1
        Warning:          None


Parameter values: array([  9.70000000e-01,   2.04800000e+03,  
1.49000000e-01])
Function value:   8.3312601381368332e-28
Iterations:       22
Function calls:   91
Gradient calls:   91
Hessian calls:    22
Warning:          None


relax> monte_carlo.setup(number=3)

relax> monte_carlo.create_data(method='back_calc')

relax> monte_carlo.initial_values()

relax> minimise(*args=('newton',), func_tol=1e-25, max_iterations=10000000,
constraints=True, scaling=True, verbosity=1)
Simulation 1
Simulation 2
Simulation 3

relax> monte_carlo.error_analysis(prune=0.0)
Traceback (most recent call last):
  File "/sw/lib/relax-py26/test_suite/system_tests/model_free.py", line 610,
in test_opt_constr_newton_gmw_mt_S2_0_970_te_2048_Rex_0_149
    self.value_test(spin, select, s2, te, rex, chi2, iter, f_count, g_count,
h_count, warning)
  File "/sw/lib/relax-py26/test_suite/system_tests/model_free.py", line 1110,
in value_test
    self.assertEqual(spin.f_count, f_count, msg=mesg)
AssertionError: Optimisation failure.

System: Darwin
Release: 9.8.0
Version: Darwin Kernel Version 9.8.0: Wed Jul 15 16:55:01 PDT 2009;
root:xnu-1228.15.4~1/RELEASE_I386
Win32 version:    
Distribution:   
Architecture: 32bit 
Machine: i386
Processor: i386
Python version: 2.6.2
numpy version: 1.3.0


s2:       0.9699999999999994
te:       2048.0000000000446
rex:      0.14900000000001609
chi2:     8.3312601381368332e-28
iter:     22        
f_count:  91        
g_count:  91        
h_count:  22        
warning:  None      



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