Hi,
This is a simple one. Minfx-1.0.0 uses Numeric, whereas relax has
switched to numpy. But I have also rewritten minfx to use numpy
instead of Numeric, but just haven't released minfx-1.0.1 with this
change yet. If you use the repository version of minfx (see
https://gna.org/projects/minfx), specifically the '/trunk' directory,
then the problem will be solved. I will try to release this new
version of minfx prior to releasing relax 1.3.1 because of this issue.
Regards,
Edward
On Thu, Jun 12, 2008 at 8:58 PM, Sébastien Morin
<[EMAIL PROTECTED]> wrote:
> Hi,
>
> I noticed something which could be a problem for 64 bits users... On x86
> (PC), only one test does not pass for line 1.3 (r6355). However, on 64
> bits Intel cpu, it seems that 3 tests don't pass, with the two
> additional tests not passing as follows :
>
> 1.
> ERROR: Constrained Newton opt, GMW Hessian mod, backtracking line search
> {S2=0.970, te=2048, Rex=0.149}
>
> 2.
> ERROR: Constrained Newton opt, GMW Hessian mod, More and Thuente line
> search {S2=0.970, te=2048, Rex=0.149}
>
> Version of different dependencies are as follows :
>
> ========================================
> numpy-1.0.4-r2
> numeric-24.2-r6
> python-2.4.4-r9
> scientificpython-2.6.1
> ========================================
>
>
> The machine works on Gentoo Linux.
>
> Finally, here is the traceback for the second problematic test (which
> yields the same error) :
>
>
> ========================================
>
> Traceback (most recent call last):
> File "/home/semor/relax-1.3/test_suite/system_tests/model_free.py",
> line 453, in test_opt_constr_newton_gmw_mt_S2_0_970_te_2048_Rex_0_149
> self.relax.interpreter._Minimisation.minimise('newton', 'gmw', 'mt')
> File "/home/semor/relax-1.3/prompt/minimisation.py", line 358, in minimise
> minimise.minimise(min_algor=min_algor, min_options=min_options,
> func_tol=func_tol, grad_tol=grad_tol, max_iterations=max_iterations,
> constraints=constraints, scaling=scaling, verbosity=verbosity)
> File "/home/semor/relax-1.3/generic_fns/minimise.py", line 236, in
> minimise
> minimise(min_algor=min_algor, min_options=min_options,
> func_tol=func_tol, grad_tol=grad_tol, max_iterations=max_iterations,
> constraints=constraints, scaling=scaling, verbosity=verbosity)
> File "/home/semor/relax-1.3/specific_fns/model_free/mf_minimise.py",
> line 985, in minimise
> results = generic_minimise(func=self.mf.func, dfunc=self.mf.dfunc,
> d2func=self.mf.d2func, args=(), x0=param_vector, min_algor=min_algor,
> min_options=min_options, func_tol=func_tol, grad_tol=grad_tol,
> maxiter=max_iterations, A=A, b=b, full_output=1, print_flag=verbosity)
> File "/home/semor/relax-1.3/minfx/generic.py", line 391, in
> generic_minimise
> results = method_of_multipliers(func=func, dfunc=dfunc,
> d2func=d2func, args=args, x0=x0, min_options=min_options, A=A, b=b, l=l,
> u=u, c=c, dc=dc, d2c=d2c, func_tol=func_tol, grad_tol=grad_tol,
> maxiter=maxiter, full_output=full_output, print_flag=print_flag)
> File "/home/semor/relax-1.3/minfx/method_of_multipliers.py", line 143,
> in method_of_multipliers
> results = min.minimise()
> File "/home/semor/relax-1.3/minfx/method_of_multipliers.py", line 397,
> in minimise
> results = self.generic_minimise(func=self.func_LA,
> dfunc=self.func_dLA, d2func=self.func_d2LA, args=self.args, x0=self.xk,
> min_algor=self.min_algor, min_options=self.min_options, func_tol=None,
> grad_tol=self.tk, maxiter=maxiter, full_output=1,
> print_flag=sub_print_flag, print_prefix="\t")
> File "/home/semor/relax-1.3/minfx/generic.py", line 322, in
> generic_minimise
> results = newton(func=func, dfunc=dfunc, d2func=d2func, args=args,
> x0=x0, min_options=Issue on min_options, func_tol=func_tol,
> grad_tol=grad_tol, maxiter=maxiter, full_output=full_output,
> print_flag=print_flag, print_prefix=print_prefix)
> File "/home/semor/relax-1.3/minfx/newton.py", line 45, in newton
> results = min.minimise()
> File "/home/semor/relax-1.3/minfx/base_classes.py", line 234, in minimise
> self.new_param_func()
> File "/home/semor/relax-1.3/minfx/newton.py", line 164, in new_param_func
> self.pk = self.get_pk()
> File "/home/semor/relax-1.3/minfx/base_classes.py", line 643, in gmw
> return gmw(self.dfk, self.d2fk, self.I, self.n, self.mach_acc,
> self.print_prefix, self.print_flag, return_matrix)
> File "/home/semor/relax-1.3/minfx/hessian_mods/gmw81.py", line 151, in gmw
> y = solve_linear_equations(L, dfk)
> File "/usr/lib64/python2.4/site-packages/Numeric/LinearAlgebra.py",
> line 88, in solve_linear_equations
> t =_commonType(a, b)
> File "/usr/lib64/python2.4/site-packages/Numeric/LinearAlgebra.py",
> line 30, in _commonType
> t = a.typecode()
> AttributeError: 'numpy.ndarray' object has no attribute 'typecode'
>
> ========================================
>
>
> As these tests both use the minfx package, the issue probably comes from
> minfx... If you think it is the case, please feel free to forward my
> mail on their mailing list...
>
>
> Thanks for help !
>
>
> Séb :)
>
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