Which numpy version are you using?  There is a damn good reason why I
am pushing this.  I know that all of the competition software (at
least cpmg_fit and CATIA) uses exactly this storage concept, though in
C rather than Python, and for exactly the reason why I am pushing
this.  We really have to get this working for you!

Regards,

Edward



On 15 June 2014 16:21, Troels Emtekær Linnet <[email protected]> wrote:
> Hi Ed.
>
> I can see that you are pushing for this.
>
> It wont work!
>
>
>
> 2014-06-15 16:12 GMT+02:00 Edward d'Auvergne <[email protected]>:
>>
>> Hi Troels,
>>
>> In this change, only in one line have you used the numpy.dot() out
>> argument:
>>
>> +                dot(Rexpo, r180x, evolution_matrix)
>>
>> So it must be working.  You can do this for all others, replacing:
>>
>> -                evolution_matrix = dot(evolution_matrix, Rexpo)
>> +                 dot(evolution_matrix, Rexpo, evolution_matrix)
>>
>> and:
>>
>> -                evolution_matrix = dot(evolution_matrix,
>> evolution_matrix)
>> +                dot(evolution_matrix, evolution_matrix, evolution_matrix)
>>
>> and:
>>
>> -                    Mint = evolution_matrix.dot(Mint)
>> +                    dot(evolution_matrix, Mint, Mint)
>>
>> This should give an observable speed increase of 2 or more.
>>
>> Regards,
>>
>> Edward
>>
>>
>> On 15 June 2014 15:15,  <[email protected]> wrote:
>> > Author: tlinnet
>> > Date: Sun Jun 15 15:15:23 2014
>> > New Revision: 23963
>> >
>> > URL: http://svn.gna.org/viewcvs/relax?rev=23963&view=rev
>> > Log:
>> > Made the dot evolution structure faster for NS CPMG 2site 3D.
>> >
>> > Task #7807 (https://gna.org/task/index.php?7807): Speed-up of dispersion
>> > models for Clustered analysis.
>> >
>> > Modified:
>> >     branches/disp_spin_speed/lib/dispersion/ns_cpmg_2site_3d.py
>> >
>> > Modified: branches/disp_spin_speed/lib/dispersion/ns_cpmg_2site_3d.py
>> > URL:
>> > http://svn.gna.org/viewcvs/relax/branches/disp_spin_speed/lib/dispersion/ns_cpmg_2site_3d.py?rev=23963&r1=23962&r2=23963&view=diff
>> >
>> > ==============================================================================
>> > --- branches/disp_spin_speed/lib/dispersion/ns_cpmg_2site_3d.py
>> > (original)
>> > +++ branches/disp_spin_speed/lib/dispersion/ns_cpmg_2site_3d.py Sun Jun
>> > 15 15:15:23 2014
>> > @@ -54,7 +54,7 @@
>> >  """
>> >
>> >  # Python module imports.
>> > -from numpy import dot, fabs, isfinite, log, min, sum
>> > +from numpy import asarray, dot, fabs, isfinite, log, min, sum
>> >  from numpy.ma import fix_invalid, masked_where
>> >
>> >
>> > @@ -141,6 +141,9 @@
>> >              # The matrix R that contains all the contributions to the
>> > evolution, i.e. relaxation, exchange and chemical shift evolution.
>> >              R = rcpmg_3d(R1A=r10a, R1B=r10b, R2A=R2A_si_mi,
>> > R2B=R2B_si_mi, pA=pA, pB=pB, dw=dw_si_mi, k_AB=k_AB, k_BA=k_BA)
>> >
>> > +            # The essential evolution matrix. This initialises the
>> > structure.
>> > +            evolution_matrix = asarray(R) * 0.0
>> > +
>> >              # Loop over the time points, back calculating the R2eff
>> > values.
>> >              for di in range(num_points_si_mi):
>> >                  # Extract the values from the higher dimensional
>> > arrays.
>> > @@ -155,12 +158,18 @@
>> >                  # This matrix is a propagator that will evolve the
>> > magnetization with the matrix R for a delay tcp.
>> >                  Rexpo = matrix_exponential(R*tcp_si_mi_di)
>> >
>> > -                # Temp matrix.
>> > -                t_mat =
>> > Rexpo.dot(r180x).dot(Rexpo).dot(Rexpo).dot(r180x).dot(Rexpo).dot(Rexpo).dot(r180x).dot(Rexpo).dot(Rexpo).dot(r180x).dot(Rexpo)
>> > +                # The essential evolution matrix.
>> > +                # This is the first round.
>> > +                dot(Rexpo, r180x, evolution_matrix)
>> > +                evolution_matrix = dot(evolution_matrix, Rexpo)
>> > +                # The second round.
>> > +                evolution_matrix = dot(evolution_matrix,
>> > evolution_matrix)
>> > +                # The third and fourth round,
>> > +                evolution_matrix = dot(evolution_matrix,
>> > evolution_matrix)
>> >
>> >                  # Loop over the CPMG elements, propagating the
>> > magnetisation.
>> >                  for j in range(power_si_mi_di/2):
>> > -                    Mint = t_mat.dot(Mint)
>> > +                    Mint = evolution_matrix.dot(Mint)
>> >
>> >                  # The next lines calculate the R2eff using a two-point
>> > approximation, i.e. assuming that the decay is mono-exponential.
>> >                  Mx = Mint[1] / pA
>> >
>> >
>> > _______________________________________________
>> > relax (http://www.nmr-relax.com)
>> >
>> > This is the relax-commits mailing list
>> > [email protected]
>> >
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>> > visit the list information page at
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>>
>> _______________________________________________
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>>
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