dynare/mex/sources/local_state_space_iterations/local_state_space_iteration...

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! Copyright © 2022 Dynare Team
!
! This file is part of Dynare.
!
! Dynare is free software: you can redistribute it and/or modify
! it under the terms of the GNU General Public License as published by
! the Free Software Foundation, either version 3 of the License, or
! (at your option) any later version.
!
! Dynare is distributed in the hope that it will be useful,
! but WITHOUT ANY WARRANTY; without even the implied warranty of
! MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
! GNU General Public License for more details.
!
! You should have received a copy of the GNU General Public License
! along with Dynare. If not, see <https://www.gnu.org/licenses/>.
! Routines and data structures for multithreading over particles in local_state_space_iteration_3
module pparticle_3
use matlab_mex
use partitions
implicit none
type tdata_3
integer :: n, m, s, q, numthreads, xx_size, uu_size, xxx_size, uuu_size
real(real64), pointer, contiguous :: yhat3(:,:), &
&e(:,:), ghx(:,:), ghu(:,:), constant(:), ghxu(:,:), ghxx(:,:), &
&ghuu(:,:), ghxxx(:,:), ghuuu(:,:), ghxxu(:,:), ghxuu(:,:), ghxss(:,:), &
&ghuss(:,:), ss(:), y3(:,:)
real(real64), pointer :: yhat2(:,:), yhat1(:,:), y2(:,:), y1(:,:)
type(index), pointer, contiguous :: xx_idcs(:), uu_idcs(:), &
&xxx_idcs(:), uuu_idcs(:)
end type tdata_3
type(tdata_3) :: td3
contains
! Fills y3 as y3 = ybar + ½ghss + ghx·ŷ+ghu·ε + ½ghxx·ŷ⊗ŷ + ½ghuu·ε⊗ε +
! ghxu·ŷ⊗ε + (1/6)·ghxxx ŷ⊗ŷ⊗ŷ + (1/6)·ghuuu·ε⊗ε⊗ε +
! (3/6)·ghxxu·ŷ⊗ŷ⊗ε + (3/6)·ghxuu·ŷ⊗ε⊗ε +
! (3/6)·ghxss·ŷ + (3/6)·ghuss·ε
! in td3
subroutine thread_eval_3(arg) bind(c)
type(c_ptr), intent(in), value :: arg
integer, pointer :: ithread
integer :: is, im, j, k, start, end, q, r
! Checking that the thread number got passed as argument
if (.not. c_associated(arg)) then
call mexErrMsgTxt("No argument was passed to thread_eval_3")
end if
call c_f_pointer(arg, ithread)
! Specifying bounds for the curent thread
q = td3%s / td3%numthreads
r = mod(td3%s, td3%numthreads)
start = (ithread-1)*q+1
if (ithread < td3%numthreads) then
end = start+q-1
else
end = td3%s
end if
do is=start,end
do im=1,td3%m
! y3 = ybar + ½ghss
td3%y3(im,is) = td3%constant(im)
! y3 += ghx·ŷ+(3/6)·ghxss·ŷ + first n folded indices for ½ghxx·ŷ⊗ŷ
! + first n folded indices for (1/6)ghxxx·ŷ⊗ŷ⊗ŷ
do j=1,td3%n
td3%y3(im,is) = td3%y3(im,is)+&
&(0.5*td3%ghxss(j,im)+td3%ghx(j,im))*td3%yhat3(j,is)+&
&(0.5*td3%ghxx(j,im)+(1./6.)*td3%ghxxx(j,im)*td3%yhat3(1, is))*&
&td3%yhat3(1, is)*td3%yhat3(j,is)
! y3 += ghxu·ŷ⊗ε
! + first n*q folded indices of (3/6)·ghxxu·ŷ⊗ŷ⊗ε
do k=1,td3%q
td3%y3(im,is) = td3%y3(im,is) + &
&(td3%ghxu(td3%q*(j-1)+k,im)+&
&0.5*td3%ghxxu(td3%q*(j-1)+k,im)*td3%yhat3(1, is))*&
&td3%yhat3(j, is)*td3%e(k, is)
end do
end do
! y3 += ghu·ε+(3/6)·ghuss·ε + first q folded indices of ½ghuu·ε⊗ε
! + first q folded indices for (1/6)·ghuuu·ε⊗ε⊗ε
! + first n*q folded indices of (3/6)·ghxuu·ŷ⊗ε⊗ε
do j=1,td3%q
td3%y3(im,is) = td3%y3(im,is) + &
&(0.5*td3%ghuss(j,im)+td3%ghu(j,im))*td3%e(j,is) + &
&(0.5*td3%ghuu(j,im)+(1./6.)*td3%ghuuu(j,im)*&
&td3%e(1, is))*td3%e(1, is)*td3%e(j, is)
do k=1,td3%n
td3%y3(im,is) = td3%y3(im,is) + &
&0.5*td3%ghxuu(td3%uu_size*(k-1)+j,im)*&
&td3%yhat3(k, is)*td3%e(1, is)*td3%e(j, is)
end do
end do
! y3 += remaining ½ghxx·ŷ⊗ŷ terms
! + the next terms starting from n+1 up to xx_size
! of (1/6)ghxxx·ŷ⊗ŷ⊗ŷ
! + remaining terms of (3/6)·ghxxu·ŷ⊗ŷ⊗ε
do j=td3%n+1,td3%xx_size
td3%y3(im,is) = td3%y3(im,is) + &
&(0.5*td3%ghxx(j,im)+(1./6.)*td3%ghxxx(j,im)*td3%yhat3(1, is))*&
&td3%yhat3(td3%xx_idcs(j)%coor(1), is)*&
&td3%yhat3(td3%xx_idcs(j)%coor(2), is)
do k=1,td3%q
td3%y3(im,is) = td3%y3(im,is)+&
&0.5*td3%ghxxu(td3%q*(j-1)+k,im)*&
&td3%yhat3(td3%xx_idcs(j)%coor(1), is)*&
&td3%yhat3(td3%xx_idcs(j)%coor(2), is)*&
&td3%e(k, is)
end do
end do
! y3 += remaining ½ghuu·ε⊗ε terms
! + the next uu_size terms starting from q+1
! of (1/6)·ghuuu·ε⊗ε⊗ε
! + remaining terms of (3/6)·ghxuu·ŷ⊗ε⊗ε
do j=td3%q+1,td3%uu_size
td3%y3(im,is) = td3%y3(im,is) + &
&(0.5*td3%ghuu(j,im)+(1./6.)*td3%ghuuu(j,im)*td3%e(1, is))*&
&td3%e(td3%uu_idcs(j)%coor(1), is)*&
&td3%e(td3%uu_idcs(j)%coor(2), is)
do k=1,td3%n
td3%y3(im,is) = td3%y3(im,is) + &
&0.5*td3%ghxuu(td3%uu_size*(k-1)+j,im)*&
&td3%yhat3(k, is)*&
&td3%e(td3%uu_idcs(j)%coor(1), is)*&
&td3%e(td3%uu_idcs(j)%coor(2), is)
end do
end do
! y3 += remaining (1/6)·ghxxx·ŷ⊗ŷ⊗ŷ terms
do j=td3%xx_size+1,td3%xxx_size
td3%y3(im,is) = td3%y3(im,is)+&
&(1./6.)*td3%ghxxx(j,im)*&
&td3%yhat3(td3%xxx_idcs(j)%coor(1), is)*&
&td3%yhat3(td3%xxx_idcs(j)%coor(2), is)*&
&td3%yhat3(td3%xxx_idcs(j)%coor(3), is)
end do
! y3 += remaining (1/6)ghuuu·ε⊗ε⊗ε terms
do j=td3%uu_size+1,td3%uuu_size
td3%y3(im,is) = td3%y3(im,is) + &
&(1./6.)*td3%ghuuu(j,im)*&
&td3%e(td3%uuu_idcs(j)%coor(1), is)*&
&td3%e(td3%uuu_idcs(j)%coor(2), is)*&
&td3%e(td3%uuu_idcs(j)%coor(3), is)
end do
end do
end do
end subroutine thread_eval_3
! Fills y1 and y2 as
! y1 = ybar + ghx·ŷ1 + ghu·ε
! y2 = ybar + ½ghss + ghx·ŷ2 + ghu·ε + ½ghxx·ŷ1⊗ŷ1 + ½ghuu·ε⊗ε + ghxu·ŷ1⊗ε
! y3 = ybar + ghx·ŷ3 + ghu·ε + ghxx·ŷ1⊗ŷ2 + ghuu·ε⊗ε + ghxu·ŷ1⊗ε + ghxu·ŷ2⊗ε
! + (1/6)·ghxxx·ŷ1⊗ŷ1⊗ŷ1 + (1/6)·ghuuu·ε⊗ε⊗ε + (3/6)·ghxxu·ŷ1⊗ŷ1⊗ε
! + (3/6)·ghxuu·ŷ1⊗ε⊗ε + (3/6)·ghxss·ŷ1 + (3/6)·ghuss·ε
! in td3
subroutine thread_eval_3_pruning(arg) bind(c)
type(c_ptr), intent(in), value :: arg
integer, pointer :: ithread
integer :: is, im, j, k, start, end, q, r
real(real64) :: x, y
! Checking that the thread number got passed as argument
if (.not. c_associated(arg)) then
call mexErrMsgTxt("No argument was passed to thread_eval")
end if
call c_f_pointer(arg, ithread)
! Specifying bounds for the curent thread
q = td3%s / td3%numthreads
r = mod(td3%s, td3%numthreads)
start = (ithread-1)*q+1
if (ithread < td3%numthreads) then
end = start+q-1
else
end = td3%s
end if
do is=start,end
do im=1,td3%m
! y1 = ybar
! y2 = ybar + ½ghss
! y3 = ybar
td3%y1(im,is) = td3%ss(im)
td3%y2(im,is) = td3%constant(im)
td3%y3(im,is) = td3%ss(im)
! y1 += ghx·ŷ1
! y2 += ghx·ŷ2 + first n folded indices for ½ghxx·ŷ1⊗ŷ1
! y3 += ghx·ŷ3 +(3/6)·ghxss·ŷ
! + first n folded indices for ghxx·ŷ1⊗ŷ2
! + first n folded indices for (1/6)ghxxx·ŷ1⊗ŷ1⊗ŷ1
do j=1,td3%n
td3%y1(im,is) = td3%y1(im,is) + td3%ghx(j,im)*td3%yhat1(j,is)
td3%y2(im,is) = td3%y2(im,is) + td3%ghx(j,im)*td3%yhat2(j,is) +&
&0.5*td3%ghxx(j,im)*td3%yhat1(1, is)*td3%yhat1(j, is)
td3%y3(im,is) = td3%y3(im,is) + td3%ghx(j,im)*td3%yhat3(j,is) +&
&0.5*td3%ghxss(j,im)*td3%yhat1(j,is) +&
&td3%ghxx(j,im)*td3%yhat1(1, is)*td3%yhat2(j, is)+&
&(1./6.)*td3%ghxxx(j,im)*td3%yhat1(1, is)*&
&td3%yhat1(1, is)*td3%yhat1(j,is)
! y2 += + ghxu·ŷ1⊗ε
! y3 += + ghxu·ŷ1⊗ε + ghxu·ŷ2⊗ε
! + first n*q folded indices of (3/6)·ghxxu·ŷ1⊗ŷ1⊗ε
do k=1,td3%q
td3%y2(im,is) = td3%y2(im,is)+&
&td3%ghxu(td3%q*(j-1)+k,im)*&
&td3%yhat1(j, is)*td3%e(k, is)
td3%y3(im,is) = td3%y3(im,is)+&
&td3%ghxu(td3%q*(j-1)+k,im)*&
&(td3%yhat1(j, is)+td3%yhat2(j, is))*td3%e(k, is)+&
&0.5*td3%ghxxu(td3%q*(j-1)+k,im)*td3%yhat1(1, is)*&
&td3%yhat1(j, is)*td3%e(k, is)
end do
end do
! y1 += +ghu·ε
! y2 += +ghu·ε + first q folded indices for ½ghuu·ε⊗ε
! y3 += +ghu·ε + first q folded indices for ghuu·ε⊗ε
! + first n*q folded indices of (3/6)·ghxuu·ŷ1⊗ε⊗ε
! + first n folded indices of (1/6)·ghuuu·ε⊗ε⊗ε
do j=1,td3%q
x = td3%ghu(j,im)*td3%e(j,is)
y = td3%ghuu(j,im)*td3%e(1, is)*td3%e(j, is)
td3%y1(im,is) = td3%y1(im,is) + x
td3%y2(im,is) = td3%y2(im,is) + x + 0.5*y
td3%y3(im,is) = td3%y3(im,is) + x + y +&
&td3%ghuss(j,im)*td3%e(j,is)+&
&(1./6.)*td3%ghuuu(j,im)*td3%e(1, is)*td3%e(1, is)*&
&td3%e(j, is)
do k=1,td3%n
td3%y3(im,is) = td3%y3(im,is) + &
&0.5*td3%ghxuu(td3%uu_size*(k-1)+j,im)*&
&td3%yhat1(k, is)*td3%e(1, is)*td3%e(j, is)
end do
end do
! y2 += remaining ½ghxx·ŷ1⊗ŷ1 terms
! y3 += remaining ghxx·ŷ1⊗ŷ2 terms
! + the next terms starting from n+1 up to xx_size
! of (1/6)ghxxx·ŷ1⊗ŷ1⊗ŷ1
! + remaining terms of (3/6)·ghxxu·ŷ1⊗ŷ1⊗ε
do j=td3%n+1,td3%xx_size
td3%y2(im,is) = td3%y2(im,is) + &
&0.5*td3%ghxx(j,im)*&
&td3%yhat1(td3%xx_idcs(j)%coor(1), is)*&
&td3%yhat1(td3%xx_idcs(j)%coor(2), is)
td3%y3(im,is) = td3%y3(im,is) + &
&td3%ghxx(j,im)*&
&td3%yhat1(td3%xx_idcs(j)%coor(1), is)*&
&td3%yhat2(td3%xx_idcs(j)%coor(2), is)+&
&(1./6.)*td3%ghxxx(j,im)*td3%yhat1(1, is)*&
&td3%yhat1(td3%xx_idcs(j)%coor(1), is)*&
&td3%yhat1(td3%xx_idcs(j)%coor(2), is)
do k=1,td3%n
td3%y3(im,is) = td3%y3(im,is) + &
&0.5*td3%ghxxu(td3%q*(j-1)+k,im)*&
&td3%yhat1(td3%xx_idcs(j)%coor(1), is)*&
&td3%yhat1(td3%xx_idcs(j)%coor(2), is)*&
&td3%e(k, is)
end do
end do
! y2 += remaining ½ghuu·ε⊗ε terms
! y3 += remaining ghuu·ε⊗ε terms
! + remaining terms of (3/6)·ghxuu·ŷ⊗ε⊗ε
! + the next uu_size terms starting from q+1
! of (1/6)·ghuuu·ε⊗ε⊗ε
do j=td3%q+1,td3%uu_size
x = td3%ghuu(j,im)*&
&td3%e(td3%uu_idcs(j)%coor(1), is)*&
&td3%e(td3%uu_idcs(j)%coor(2), is)
td3%y2(im,is) = td3%y2(im,is)+0.5*x
td3%y3(im,is) = td3%y3(im,is)+x+&
&(1./6.)*td3%ghuuu(j,im)*td3%e(1, is)*&
&td3%e(td3%uu_idcs(j)%coor(1), is)*&
&td3%e(td3%uu_idcs(j)%coor(2), is)
do k=1,td3%n
td3%y3(im,is) = td3%y3(im,is) + &
&0.5*td3%ghxuu(td3%uu_size*(k-1)+j,im)*&
&td3%yhat1(k, is)*&
&td3%e(td3%uu_idcs(j)%coor(1), is)*&
&td3%e(td3%uu_idcs(j)%coor(2), is)
end do
end do
! y3 += remaining (1/6)·ghxxx·ŷ⊗ŷ⊗ŷ terms
do j=td3%xx_size+1,td3%xxx_size
td3%y3(im,is) = td3%y3(im,is)+&
&(1./6.)*td3%ghxxx(j,im)*&
&td3%yhat1(td3%xxx_idcs(j)%coor(1), is)*&
&td3%yhat1(td3%xxx_idcs(j)%coor(2), is)*&
&td3%yhat1(td3%xxx_idcs(j)%coor(3), is)
end do
! y3 += remaining (1/6)ghuuu·ε⊗ε⊗ε terms
do j=td3%uu_size+1,td3%uuu_size
td3%y3(im,is) = td3%y3(im,is) + &
&(1./6.)*td3%ghuuu(j,im)*&
&td3%e(td3%uuu_idcs(j)%coor(1), is)*&
&td3%e(td3%uuu_idcs(j)%coor(2), is)*&
&td3%e(td3%uuu_idcs(j)%coor(3), is)
end do
end do
end do
end subroutine thread_eval_3_pruning
end module pparticle_3
! The code of the local_state_space_iteration_3 routine
! Input:
! prhs[1] yhat3 [double] n×s array, time t particles.
! prhs[2] e [double] q×s array, time t innovations.
! prhs[3] ghx [double] m×n array, first order reduced form.
! prhs[4] ghu [double] m×q array, first order reduced form.
! prhs[5] constant [double] m×1 array, deterministic steady state +
! third order correction for the union of
! the states and observed variables.
! prhs[6] ghxx [double] m×n² array, second order reduced form.
! prhs[7] ghuu [double] m×q² array, second order reduced form.
! prhs[8] ghxu [double] m×nq array, second order reduced form.
! prhs[9] ghxxx [double] m×n array, third order reduced form.
! prhs[10] ghuuu [double] m×q array, third order reduced form.
! prhs[11] ghxxu [double] m×n²q array, third order reduced form.
! prhs[12] ghxuu [double] m×nq² array, third order reduced form.
! prhs[13] ghxss [double] m×n array, third order reduced form.
! prhs[14] ghuss [double] m×q array, third order reduced form.
! prhs[15] yhat2 [double] [OPTIONAL] 2n×s array, time t particles up to 2nd order pruning additional latent variables. The first n rows concern the pruning first-order latent variables, while the last n rows concern the pruning 2nd-order latent variables
! prhs[16] ss [double] [OPTIONAL] m×1 array, steady state for the union of the states and the observed variables (needed for the pruning mode).
! prhs[15 or 17] [double] num of threads
!
! Output:
! plhs[1] y3 [double] m×s array, time t+1 particles.
! plhs[2] y2 [double] 2m×s array, time t+1 particles for the pruning latent variables up to 2nd order. The first m rows concern the pruning first-order latent variables, while the last m rows concern the pruning 2nd-order latent variables
subroutine mexFunction(nlhs, plhs, nrhs, prhs) bind(c, name='mexFunction')
use iso_c_binding
use matlab_mex
use pascal
use partitions
use pthread
use pparticle_3
implicit none
type(c_ptr), dimension(*), intent(in), target :: prhs
type(c_ptr), dimension(*), intent(out) :: plhs
integer(c_int), intent(in), value :: nlhs, nrhs
integer :: n, m, s, q, numthreads
real(real64), pointer, contiguous :: ghx(:,:), ghu(:,:), ghxx(:,:), &
&ghuu(:,:), ghxu(:,:), ghxxx(:,:), ghuuu(:,:), ghxxu(:,:), &
&ghxuu(:,:), ghxss(:,:), ghuss(:,:), yhatlat(:,:), ylat(:,:)
integer :: i, j, k, xx_size, uu_size, xxx_size, uuu_size, rc
character(kind=c_char, len=10) :: arg_nber
type(pascal_triangle) :: p
integer, allocatable :: xx_nbeq(:), xxx_nbeq(:), &
&uu_nbeq(:), uuu_nbeq(:), xx_off(:), uu_off(:), &
&xxx_off(:), uuu_off(:)
type(c_pthread_t), allocatable :: threads(:)
integer, allocatable, target :: routines(:)
! 0. Checking the consistency and validity of input arguments
if (nrhs /= 15 .and. nrhs /= 17) then
call mexErrMsgTxt("Must have exactly 15 inputs or 18 inputs")
end if
if (nlhs > 2) then
call mexErrMsgTxt("Too many output arguments.")
end if
do i=1, max(14, nrhs-1)
if (.not. (c_associated(prhs(i)) .and. mxIsDouble(prhs(i)) .and. &
(.not. mxIsComplex(prhs(i))) .and. (.not. mxIsSparse(prhs(i))))) then
write (arg_nber,"(i2)") i
call mexErrMsgTxt("Argument " // trim(arg_nber) // " should be a real dense matrix")
end if
end do
i = max(15,nrhs)
if (.not. (c_associated(prhs(i)) .and. mxIsScalar(prhs(i)) .and. &
mxIsNumeric(prhs(i)))) then
write (arg_nber,"(i2)") i
call mexErrMsgTxt("Argument " // trim(arg_nber) // " should be a numeric scalar")
end if
numthreads = int(mxGetScalar(prhs(i)))
if (numthreads <= 0) then
write (arg_nber,"(i2)") i
call mexErrMsgTxt("Argument " // trim(arg_nber) // " should be a positive integer")
end if
td3%numthreads = numthreads
n = int(mxGetM(prhs(1))) ! Number of states.
s = int(mxGetN(prhs(1))) ! Number of particles.
q = int(mxGetM(prhs(2))) ! Number of innovations.
m = int(mxGetM(prhs(3))) ! Number of elements in the union of states and observed variables.
td3%n = n
td3%s = s
td3%q = q
td3%m = m
if ((s /= mxGetN(prhs(2))) & ! Number of columns for epsilon
&.or. (n /= mxGetN(prhs(3))) & ! Number of columns for ghx
&.or. (m /= mxGetM(prhs(4))) & ! Number of rows for ghu
&.or. (q /= mxGetN(prhs(4))) & ! Number of columns for ghu
&.or. (m /= mxGetM(prhs(5))) & ! Number of rows for 2nd order constant correction + deterministic steady state
&.or. (m /= mxGetM(prhs(6))) & ! Number of rows for ghxx
&.or. (n*n /= mxGetN(prhs(6))) & ! Number of columns for ghxx
&.or. (m /= mxGetM(prhs(7))) & ! Number of rows for ghuu
&.or. (q*q /= mxGetN(prhs(7))) & ! Number of columns for ghuu
&.or. (m /= mxGetM(prhs(8))) & ! Number of rows for ghxu
&.or. (n*q /= mxGetN(prhs(8))) & ! Number of columns for ghxu
&.or. (m /= mxGetM(prhs(9))) & ! Number of rows for ghxxx
&.or. (n*n*n /= mxGetN(prhs(9))) & ! Number of columns for ghxxx
&.or. (m /= mxGetM(prhs(10))) & ! Number of rows for ghuuu
&.or. (q*q*q /= mxGetN(prhs(10))) & ! Number of columns for ghuuu
&.or. (m /= mxGetM(prhs(11))) & ! Number of rows for ghxxu
&.or. (n*n*q /= mxGetN(prhs(11))) & ! Number of columns for ghxxu
&.or. (m /= mxGetM(prhs(12))) & ! Number of rows for ghxuu
&.or. (n*q*q /= mxGetN(prhs(12))) & ! Number of columns for ghxuu
&.or. (m /= mxGetM(prhs(13))) & ! Number of rows for ghxss
&.or. (n /= mxGetN(prhs(13))) & ! Number of columns for ghxss
&.or. (m /= mxGetM(prhs(14))) & ! Number of rows for ghuss
&.or. (q /= mxGetN(prhs(14))) & ! Number of columns for ghuss
&.or. ((nrhs == 17) & ! With pruning optional inputs
&.and. ((2*n /= mxGetM(prhs(15))) & ! Number of rows for yhat2
&.or. (s /= mxGetN(prhs(15))) & ! Number of columns for yhat2
&.or. (m /= mxGetM(prhs(16)))))) then ! Number of rows for ss
! &) then
call mexErrMsgTxt("Input dimension mismatch")
end if
! 1. Getting relevant information to take advantage of symmetries
! There are symmetries in the ghxx, ghuu, ghxxx, ghuuu, ghxxu and ghxuu terms
! that we may exploit to avoid unnecessarily repeating operations in matrix-vector
! multiplications, e.g in ghxx·ŷ⊗ŷ.
! In matrix-vector multiplications such as ghxx·ŷ⊗ŷ, we loop through all the folded offsets
! and thus need for each one of them :
! (i) the corresponding folded index, e.g (α₁,α₂), α₁≤α₂ for ghxx
! (i) the corresponding offset in the unfolded matrix
! (ii) the corresponding number of equivalent unfolded indices (1 if α₁=α₂, 2 otherwise)
! It is better to compute these beforehand as it avoids repeating the calculation for
! each particle. The `folded_offset_loop` routine carries out this operation.
p = pascal_triangle(max(n,q)+3-1)
xx_size = get(2,n+2-1,p)
uu_size = get(2,q+2-1,p)
xxx_size = get(3,n+3-1,p)
uuu_size = get(3,q+3-1,p)
td3%xx_size = xx_size
td3%uu_size = uu_size
td3%xxx_size = xxx_size
td3%uuu_size = uuu_size
allocate(td3%xx_idcs(xx_size), td3%uu_idcs(uu_size), &
&td3%xxx_idcs(xxx_size), td3%uuu_idcs(uuu_size), &
&xx_off(xx_size), uu_off(uu_size), &
&xxx_off(xxx_size), uuu_off(uuu_size), &
&xx_nbeq(xx_size), uu_nbeq(uu_size), &
&xxx_nbeq(xxx_size), uuu_nbeq(uuu_size))
call folded_offset_loop(td3%xx_idcs, xx_nbeq, &
&xx_off, n, 2, p)
call folded_offset_loop(td3%uu_idcs, uu_nbeq, &
&uu_off, q, 2, p)
call folded_offset_loop(td3%xxx_idcs, xxx_nbeq, &
&xxx_off, n, 3, p)
call folded_offset_loop(td3%uuu_idcs, uuu_nbeq, &
&uuu_off, q, 3, p)
! 1. Storing the relevant input variables in Fortran
td3%yhat3(1:n,1:s) => mxGetPr(prhs(1))
td3%e(1:q,1:s) => mxGetPr(prhs(2))
ghx(1:m,1:n) => mxGetPr(prhs(3))
ghu(1:m,1:q) => mxGetPr(prhs(4))
td3%constant => mxGetPr(prhs(5))
ghxx(1:m,1:n*n) => mxGetPr(prhs(6))
ghuu(1:m,1:q*q) => mxGetPr(prhs(7))
ghxu(1:m,1:n*q) => mxGetPr(prhs(8))
ghxxx(1:m,1:n*n*n) => mxGetPr(prhs(9))
ghuuu(1:m,1:q*q*q) => mxGetPr(prhs(10))
ghxxu(1:m,1:n*n*q) => mxGetPr(prhs(11))
ghxuu(1:m,1:n*q*q) => mxGetPr(prhs(12))
ghxss(1:m,1:n) => mxGetPr(prhs(13))
ghuss(1:m,1:q) => mxGetPr(prhs(14))
if (nrhs == 17) then
yhatlat(1:2*n,1:s) => mxGetPr(prhs(15))
td3%yhat1 => yhatlat(1:n,1:s)
td3%yhat2 => yhatlat(n+1:2*n,1:s)
td3%ss => mxGetPr(prhs(16))
end if
! Getting a transposed folded copy of the unfolded tensors
! for future loops to be more efficient
allocate(td3%ghx(n,m), td3%ghu(q,m),&
&td3%ghuu(uu_size,m), td3%ghxu(n*q,m), &
&td3%ghxx(xx_size,m), &
&td3%ghxxx(xxx_size,m), td3%ghuuu(uuu_size,m), &
&td3%ghxxu(xx_size*q,m), td3%ghxuu(n*uu_size,m), &
&td3%ghxss(n,m), td3%ghuss(q,m))
do i=1,m
do j=1,n
td3%ghx(j,i) = ghx(i,j)
td3%ghxss(j,i) = ghxss(i,j)
td3%ghxx(j,i) = xx_nbeq(j)*ghxx(i,xx_off(j))
td3%ghxxx(j,i) = xxx_nbeq(j)*ghxxx(i,xxx_off(j))
do k=1,q
td3%ghxu(q*(j-1)+k,i) = ghxu(i,q*(j-1)+k)
td3%ghxxu(q*(j-1)+k,i) = xx_nbeq(j)*ghxxu(i,q*(xx_off(j)-1)+k)
end do
end do
do j=n+1,xx_size
td3%ghxx(j,i) = xx_nbeq(j)*ghxx(i,xx_off(j))
td3%ghxxx(j,i) = xxx_nbeq(j)*ghxxx(i,xxx_off(j))
do k=1,q
td3%ghxxu(q*(j-1)+k,i) = xx_nbeq(j)*ghxxu(i,q*(xx_off(j)-1)+k)
end do
end do
do j=xx_size+1,xxx_size
td3%ghxxx(j,i) = xxx_nbeq(j)*ghxxx(i,xxx_off(j))
end do
do j=1,q
td3%ghu(j,i) = ghu(i,j)
td3%ghuss(j,i) = ghuss(i,j)
td3%ghuu(j,i) = uu_nbeq(j)*ghuu(i,uu_off(j))
td3%ghuuu(j,i) = uuu_nbeq(j)*ghuuu(i,uuu_off(j))
do k=1,n
td3%ghxuu(uu_size*(k-1)+j,i) = uu_nbeq(j)*ghxuu(i,q*q*(k-1)+uu_off(j))
end do
end do
do j=q+1,uu_size
td3%ghuu(j,i) = uu_nbeq(j)*ghuu(i,uu_off(j))
td3%ghuuu(j,i) = uuu_nbeq(j)*ghuuu(i,uuu_off(j))
do k=1,n
td3%ghxuu(uu_size*(k-1)+j,i) = uu_nbeq(j)*ghxuu(i,q*q*(k-1)+uu_off(j))
end do
end do
do j=uu_size+1,uuu_size
td3%ghuuu(j,i) = uuu_nbeq(j)*ghuuu(i,uuu_off(j))
end do
end do
! 3. Implementing the calculations:
plhs(1) = mxCreateDoubleMatrix(int(m, mwSize), int(s, mwSize), mxREAL)
td3%y3(1:m,1:s) => mxGetPr(plhs(1))
if (nrhs == 17) then
plhs(2) = mxCreateDoubleMatrix(int(2*m, mwSize), int(s, mwSize), mxREAL)
ylat(1:2*m,1:s) => mxGetPr(plhs(2))
td3%y1 => ylat(1:m,1:s)
td3%y2 => ylat(m+1:2*m,1:s)
end if
allocate(threads(numthreads), routines(numthreads))
routines = [ (i, i = 1, numthreads) ]
if (numthreads == 1) then
if (nrhs == 17) then
call thread_eval_3_pruning(c_loc(routines(1)))
else
call thread_eval_3(c_loc(routines(1)))
end if
else
! Creating the threads
if (nrhs == 17) then
do i = 1, numthreads
rc = c_pthread_create(threads(i), c_null_ptr, c_funloc(thread_eval_3_pruning), c_loc(routines(i)))
end do
else
do i = 1, numthreads
rc = c_pthread_create(threads(i), c_null_ptr, c_funloc(thread_eval_3), c_loc(routines(i)))
end do
end if
! Joining the threads
do i = 1, numthreads
rc = c_pthread_join(threads(i), c_loc(routines(i)))
end do
end if
end subroutine mexFunction