LCPQ/qp2
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Merge branch 'dev' of github.com:QuantumPackage/qp2 into dev

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This commit is contained in:
Anthony Scemama 2022-02-23 17:56:29 +01:00
commit 12cbde2289
15 changed files with 247 additions and 172 deletions
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2
RELEASE_NOTES.org
View File

@ -88,7 +88,7 @@
- Using Intel IPP for sorting when using Intel compiler
- Removed parallelism in sorting
- Compute banned_excitations from exchange integrals to accelerate with local MOs

5
bin/qp_plugins
View File

@ -6,6 +6,7 @@ Usage:
qp_plugins download <url> [-n <name>]
qp_plugins install <name>...
qp_plugins uninstall <name>
qp_plugins remove <name>
qp_plugins update [-r <repo>]
qp_plugins create -n <name> [-r <repo>] [<needed_modules>...]
@ -24,6 +25,8 @@ Options:
uninstall Uninstall a plugin
remove Uninstall a plugin
update Update the repository
create
@ -274,7 +277,7 @@ def main(arguments):
subprocess.check_call(["qp_create_ninja", "update"])
print("[ OK ]")
elif arguments["uninstall"]:
elif arguments["uninstall"] or arguments["remove"]:
m_instance = ModuleHandler([QP_SRC])
d_descendant = m_instance.dict_descendant

3
configure vendored
View File

@ -66,7 +66,6 @@ function execute () {
}
PACKAGES=""
echo $@
while getopts "d:c:i:h" c ; do
@ -90,7 +89,7 @@ while getopts "d:c:i:h" c ; do
help
exit 0;;
*)
error $(basename $0)": unknown option $c, try --help"
error $(basename $0)": unknown option $c, try -h for help"
exit 2;;
esac
done

3
etc/qp.rc
View File

@ -204,6 +204,9 @@ _qp_Complete()
uninstall)
COMPREPLY=( $(compgen -W "$(qp_plugins list -i)" -- $cur ) )
return 0;;
remove)
COMPREPLY=( $(compgen -W "$(qp_plugins list -i)" -- $cur ) )
return 0;;
create)
COMPREPLY=( $(compgen -W "-n " -- $cur ) )
return 0;;

1
scripts/module/module_handler.py
View File

@ -116,6 +116,7 @@ def get_l_module_descendant(d_child, l_module):
print("Error: ", file=sys.stderr)
print("`{0}` is not a submodule".format(module), file=sys.stderr)
print("Check the typo (spelling, case, '/', etc.) ", file=sys.stderr)
# pass
sys.exit(1)
return list(set(l))

14
src/becke_numerical_grid/grid_becke_vector.irp.f
View File

@ -58,3 +58,17 @@ END_PROVIDER
enddo
END_PROVIDER
BEGIN_PROVIDER [double precision, final_grid_points_transp, (n_points_final_grid,3)]
implicit none
BEGIN_DOC
! Transposed final_grid_points
END_DOC
integer :: i,j
do j=1,3
do i=1,n_points_final_grid
final_grid_points_transp(i,j) = final_grid_points(j,i)
enddo
enddo
END_PROVIDER

11
src/csf/conversion.irp.f
View File

@ -38,6 +38,8 @@ subroutine convertWFfromDETtoCSF(N_st,psi_coef_det_in, psi_coef_cfg_out)
integer s, bfIcfg
integer countcsf
integer MS
MS = elec_alpha_num-elec_beta_num
countcsf = 0
phasedet = 1.0d0
do i = 1,N_configuration
@ -56,12 +58,17 @@ subroutine convertWFfromDETtoCSF(N_st,psi_coef_det_in, psi_coef_cfg_out)
enddo
enddo
s = 0
s = 0 ! s == total number of SOMOs
do k=1,N_int
if (psi_configuration(k,1,i) == 0_bit_kind) cycle
s = s + popcnt(psi_configuration(k,1,i))
enddo
bfIcfg = max(1,nint((binom(s,(s+1)/2)-binom(s,((s+1)/2)+1))))
if(iand(s,1) .EQ. 0) then
bfIcfg = max(1,nint((binom(s,s/2)-binom(s,(s/2)+1))))
else
bfIcfg = max(1,nint((binom(s,(s+1)/2)-binom(s,((s+1)/2)+1))))
endif
! perhaps blocking with CFGs of same seniority
! can be more efficient

18
src/csf/sigma_vector.irp.f
View File

@ -65,23 +65,9 @@
dimcsfpercfg = 2
else
if(iand(MS,1) .EQ. 0) then
!dimcsfpercfg = max(1,nint((binom(i,i/2)-binom(i,i/2+1))))
binom1 = dexp(logabsgamma(1.0d0*(i+1)) &
- logabsgamma(1.0d0*((i/2)+1)) &
- logabsgamma(1.0d0*(i-((i/2))+1)));
binom2 = dexp(logabsgamma(1.0d0*(i+1)) &
- logabsgamma(1.0d0*(((i/2)+1)+1)) &
- logabsgamma(1.0d0*(i-((i/2)+1)+1)));
dimcsfpercfg = max(1,nint(binom1 - binom2))
dimcsfpercfg = max(1,nint((binom(i,i/2)-binom(i,i/2+1))))
else
!dimcsfpercfg = max(1,nint((binom(i,(i+1)/2)-binom(i,(i+3)/2))))
binom1 = dexp(logabsgamma(1.0d0*(i+1)) &
- logabsgamma(1.0d0*(((i+1)/2)+1)) &
- logabsgamma(1.0d0*(i-(((i+1)/2))+1)));
binom2 = dexp(logabsgamma(1.0d0*(i+1)) &
- logabsgamma(1.0d0*((((i+3)/2)+1)+1)) &
- logabsgamma(1.0d0*(i-(((i+3)/2)+1)+1)));
dimcsfpercfg = max(1,nint(binom1 - binom2))
dimcsfpercfg = max(1,nint((binom(i,(i+1)/2)-binom(i,(i+3)/2))))
endif
endif
n_CSF += ncfg * dimcsfpercfg

23
src/davidson/diagonalization_hcsf_dressed.irp.f
View File

@ -299,7 +299,7 @@ subroutine davidson_diag_csf_hjj(dets_in,u_in,H_jj,energies,dim_in,sze,sze_csf,N
shift = N_st_diag*(iter-1)
shift2 = N_st_diag*iter
if ((iter > 1).or.(itertot == 1)) then
! if ((iter > 1).or.(itertot == 1)) then
! Compute |W_k> = \sum_i |i><i|H|u_k>
! -----------------------------------
@ -309,10 +309,10 @@ subroutine davidson_diag_csf_hjj(dets_in,u_in,H_jj,energies,dim_in,sze,sze_csf,N
else
call H_u_0_nstates_openmp(W,U,N_st_diag,sze)
endif
else
! Already computed in update below
continue
endif
! else
! ! Already computed in update below
! continue
! endif
if (dressing_state > 0) then
@ -508,17 +508,8 @@ subroutine davidson_diag_csf_hjj(dets_in,u_in,H_jj,energies,dim_in,sze,sze_csf,N
enddo
! Re-contract U and update W
! --------------------------------
call dgemm('N','N', sze_csf, N_st_diag, shift2, 1.d0, &
W_csf, size(W_csf,1), y, size(y,1), 0.d0, u_in, size(u_in,1))
do k=1,N_st_diag
do i=1,sze_csf
W_csf(i,k) = u_in(i,k)
enddo
enddo
call convertWFfromCSFtoDET(N_st_diag,W_csf,W)
! Re-contract U
! -------------
call dgemm('N','N', sze_csf, N_st_diag, shift2, 1.d0, &
U_csf, size(U_csf,1), y, size(y,1), 0.d0, u_in, size(u_in,1))

10
src/davidson/diagonalization_hs2_dressed.irp.f
View File

@ -349,7 +349,7 @@ subroutine davidson_diag_hjj_sjj(dets_in,u_in,H_jj,s2_out,energies,dim_in,sze,N_
shift = N_st_diag*(iter-1)
shift2 = N_st_diag*iter
if ((iter > 1).or.(itertot == 1)) then
! if ((iter > 1).or.(itertot == 1)) then
! Compute |W_k> = \sum_i |i><i|H|u_k>
! -----------------------------------
@ -359,10 +359,10 @@ subroutine davidson_diag_hjj_sjj(dets_in,u_in,H_jj,s2_out,energies,dim_in,sze,N_
call H_S2_u_0_nstates_openmp(W(1,shift+1),S_d,U(1,shift+1),N_st_diag,sze)
endif
S(1:sze,shift+1:shift+N_st_diag) = real(S_d(1:sze,1:N_st_diag))
else
! Already computed in update below
continue
endif
! else
! ! Already computed in update below
! continue
! endif
if (dressing_state > 0) then

3
src/davidson/diagonalize_ci.irp.f
View File

@ -1,9 +1,9 @@
BEGIN_PROVIDER [ double precision, CI_energy, (N_states_diag) ]
implicit none
BEGIN_DOC
! :c:data:`n_states` lowest eigenvalues of the |CI| matrix
END_DOC
PROVIDE distributed_davidson
integer :: j
character*(8) :: st
@ -247,6 +247,7 @@ subroutine diagonalize_CI
! eigenstates of the |CI| matrix.
END_DOC
integer :: i,j
PROVIDE distributed_davidson
do j=1,N_states
do i=1,N_det
psi_coef(i,j) = CI_eigenvectors(i,j)

316
src/davidson_dressed/diagonalize_ci.irp.f
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@ -21,133 +21,201 @@ END_PROVIDER
BEGIN_PROVIDER [ double precision, CI_electronic_energy_dressed, (N_states_diag) ]
&BEGIN_PROVIDER [ double precision, CI_eigenvectors_dressed, (N_det,N_states_diag) ]
&BEGIN_PROVIDER [ double precision, CI_eigenvectors_s2_dressed, (N_states_diag) ]
BEGIN_DOC
! Eigenvectors/values of the CI matrix
END_DOC
implicit none
double precision :: ovrlp,u_dot_v
integer :: i_good_state
integer, allocatable :: index_good_state_array(:)
logical, allocatable :: good_state_array(:)
double precision, allocatable :: s2_values_tmp(:)
integer :: i_other_state
double precision, allocatable :: eigenvectors(:,:), eigenvectors_s2(:,:), eigenvalues(:)
integer :: i_state
double precision :: e_0
integer :: i,j,k,mrcc_state
double precision, allocatable :: s2_eigvalues(:)
double precision, allocatable :: e_array(:)
integer, allocatable :: iorder(:)
PROVIDE threshold_davidson nthreads_davidson
! Guess values for the "N_states" states of the CI_eigenvectors_dressed
do j=1,min(N_states,N_det)
do i=1,N_det
CI_eigenvectors_dressed(i,j) = psi_coef(i,j)
enddo
enddo
do j=min(N_states,N_det)+1,N_states_diag
do i=1,N_det
CI_eigenvectors_dressed(i,j) = 0.d0
enddo
enddo
if (diag_algorithm == "Davidson") then
do j=1,min(N_states,N_det)
do i=1,N_det
CI_eigenvectors_dressed(i,j) = psi_coef(i,j)
enddo
enddo
logical :: converged
converged = .False.
call davidson_diag_HS2(psi_det,CI_eigenvectors_dressed, CI_eigenvectors_s2_dressed,&
size(CI_eigenvectors_dressed,1), CI_electronic_energy_dressed,&
N_det,min(N_det,N_states),min(N_det,N_states_diag),N_int,1,converged)
else if (diag_algorithm == "Lapack") then
allocate (eigenvectors(size(H_matrix_dressed,1),N_det))
allocate (eigenvalues(N_det))
call lapack_diag(eigenvalues,eigenvectors, &
H_matrix_dressed,size(H_matrix_dressed,1),N_det)
CI_electronic_energy_dressed(:) = 0.d0
if (s2_eig) then
i_state = 0
allocate (s2_eigvalues(N_det))
allocate(index_good_state_array(N_det),good_state_array(N_det))
good_state_array = .False.
call u_0_S2_u_0(s2_eigvalues,eigenvectors,N_det,psi_det,N_int,&
N_det,size(eigenvectors,1))
do j=1,N_det
! Select at least n_states states with S^2 values closed to "expected_s2"
if(dabs(s2_eigvalues(j)-expected_s2).le.0.5d0)then
i_state +=1
index_good_state_array(i_state) = j
good_state_array(j) = .True.
endif
if(i_state.eq.N_states) then
exit
endif
BEGIN_DOC
! Eigenvectors/values of the CI matrix
END_DOC
implicit none
double precision :: ovrlp,u_dot_v
integer :: i_good_state
integer, allocatable :: index_good_state_array(:)
logical, allocatable :: good_state_array(:)
double precision, allocatable :: s2_values_tmp(:)
integer :: i_other_state
double precision, allocatable :: eigenvectors(:,:), eigenvectors_s2(:,:), eigenvalues(:)
integer :: i_state
double precision :: e_0
integer :: i,j,k,mrcc_state
double precision, allocatable :: s2_eigvalues(:)
double precision, allocatable :: e_array(:)
integer, allocatable :: iorder(:)
logical :: converged
logical :: do_csf
PROVIDE threshold_davidson nthreads_davidson
! Guess values for the "N_states" states of the CI_eigenvectors_dressed
do j=1,min(N_states,N_det)
do i=1,N_det
CI_eigenvectors_dressed(i,j) = psi_coef(i,j)
enddo
enddo
do j=min(N_states,N_det)+1,N_states_diag
do i=1,N_det
CI_eigenvectors_dressed(i,j) = 0.d0
enddo
enddo
do_csf = s2_eig .and. only_expected_s2 .and. csf_based
if (diag_algorithm == "Davidson") then
do j=1,min(N_states,N_det)
do i=1,N_det
CI_eigenvectors_dressed(i,j) = psi_coef(i,j)
enddo
if(i_state .ne.0)then
! Fill the first "i_state" states that have a correct S^2 value
do j = 1, i_state
do i=1,N_det
CI_eigenvectors_dressed(i,j) = eigenvectors(i,index_good_state_array(j))
enddo
CI_electronic_energy_dressed(j) = eigenvalues(index_good_state_array(j))
CI_eigenvectors_s2_dressed(j) = s2_eigvalues(index_good_state_array(j))
enddo
i_other_state = 0
do j = 1, N_det
if(good_state_array(j))cycle
i_other_state +=1
if(i_state+i_other_state.gt.n_states_diag)then
exit
endif
do i=1,N_det
CI_eigenvectors_dressed(i,i_state+i_other_state) = eigenvectors(i,j)
enddo
CI_electronic_energy_dressed(i_state+i_other_state) = eigenvalues(j)
CI_eigenvectors_s2_dressed(i_state+i_other_state) = s2_eigvalues(i_state+i_other_state)
enddo
else
print*,''
print*,'!!!!!!!! WARNING !!!!!!!!!'
print*,' Within the ',N_det,'determinants selected'
print*,' and the ',N_states_diag,'states requested'
print*,' We did not find any state with S^2 values close to ',expected_s2
print*,' We will then set the first N_states eigenvectors of the H matrix'
print*,' as the CI_eigenvectors_dressed'
print*,' You should consider more states and maybe ask for s2_eig to be .True. or just enlarge the CI space'
print*,''
do j=1,min(N_states_diag,N_det)
do i=1,N_det
CI_eigenvectors_dressed(i,j) = eigenvectors(i,j)
enddo
CI_electronic_energy_dressed(j) = eigenvalues(j)
CI_eigenvectors_s2_dressed(j) = s2_eigvalues(j)
enddo
endif
deallocate(index_good_state_array,good_state_array)
deallocate(s2_eigvalues)
enddo
converged = .False.
if (do_csf) then
call davidson_diag_H_csf(psi_det,CI_eigenvectors_dressed, &
size(CI_eigenvectors_dressed,1),CI_electronic_energy_dressed, &
N_det,N_csf,min(N_det,N_states),min(N_det,N_states_diag),N_int,1,converged)
else
call u_0_S2_u_0(CI_eigenvectors_s2_dressed,eigenvectors,N_det,psi_det,N_int,&
min(N_det,N_states_diag),size(eigenvectors,1))
! Select the "N_states_diag" states of lowest energy
do j=1,min(N_det,N_states_diag)
do i=1,N_det
CI_eigenvectors_dressed(i,j) = eigenvectors(i,j)
enddo
CI_electronic_energy_dressed(j) = eigenvalues(j)
enddo
call davidson_diag_HS2(psi_det,CI_eigenvectors_dressed, CI_eigenvectors_s2_dressed,&
size(CI_eigenvectors_dressed,1), CI_electronic_energy_dressed,&
N_det,min(N_det,N_states),min(N_det,N_states_diag),N_int,1,converged)
endif
deallocate(eigenvectors,eigenvalues)
endif
integer :: N_states_diag_save
N_states_diag_save = N_states_diag
do while (.not.converged)
double precision, allocatable :: CI_electronic_energy_tmp (:)
double precision, allocatable :: CI_eigenvectors_tmp (:,:)
double precision, allocatable :: CI_s2_tmp (:)
N_states_diag *= 2
TOUCH N_states_diag
if (do_csf) then
allocate (CI_electronic_energy_tmp (N_states_diag) )
allocate (CI_eigenvectors_tmp (N_det,N_states_diag) )
CI_electronic_energy_tmp(1:N_states_diag_save) = CI_electronic_energy_dressed(1:N_states_diag_save)
CI_eigenvectors_tmp(1:N_det,1:N_states_diag_save) = CI_eigenvectors_dressed(1:N_det,1:N_states_diag_save)
call davidson_diag_H_csf(psi_det,CI_eigenvectors_tmp, &
size(CI_eigenvectors_tmp,1),CI_electronic_energy_tmp, &
N_det,N_csf,min(N_det,N_states),min(N_det,N_states_diag),N_int,1,converged)
CI_electronic_energy_dressed(1:N_states_diag_save) = CI_electronic_energy_tmp(1:N_states_diag_save)
CI_eigenvectors_dressed(1:N_det,1:N_states_diag_save) = CI_eigenvectors_tmp(1:N_det,1:N_states_diag_save)
deallocate (CI_electronic_energy_tmp)
deallocate (CI_eigenvectors_tmp)
else
allocate (CI_electronic_energy_tmp (N_states_diag) )
allocate (CI_eigenvectors_tmp (N_det,N_states_diag) )
allocate (CI_s2_tmp (N_states_diag) )
CI_electronic_energy_tmp(1:N_states_diag_save) = CI_electronic_energy_dressed(1:N_states_diag_save)
CI_eigenvectors_tmp(1:N_det,1:N_states_diag_save) = CI_eigenvectors_dressed(1:N_det,1:N_states_diag_save)
CI_s2_tmp(1:N_states_diag_save) = CI_eigenvectors_s2_dressed(1:N_states_diag_save)
call davidson_diag_HS2(psi_det,CI_eigenvectors_tmp, CI_s2_tmp, &
size(CI_eigenvectors_tmp,1),CI_electronic_energy_tmp, &
N_det,min(N_det,N_states),min(N_det,N_states_diag),N_int,1,converged)
CI_electronic_energy_dressed(1:N_states_diag_save) = CI_electronic_energy_tmp(1:N_states_diag_save)
CI_eigenvectors_dressed(1:N_det,1:N_states_diag_save) = CI_eigenvectors_tmp(1:N_det,1:N_states_diag_save)
CI_eigenvectors_s2_dressed(1:N_states_diag_save) = CI_s2_tmp(1:N_states_diag_save)
deallocate (CI_electronic_energy_tmp)
deallocate (CI_eigenvectors_tmp)
deallocate (CI_s2_tmp)
endif
enddo
if (N_states_diag > N_states_diag_save) then
N_states_diag = N_states_diag_save
TOUCH N_states_diag
endif
else if (diag_algorithm == "Lapack") then
print *, 'Diagonalization of H using Lapack'
allocate (eigenvectors(size(H_matrix_dressed,1),N_det))
allocate (eigenvalues(N_det))
call lapack_diag(eigenvalues,eigenvectors, &
H_matrix_dressed,size(H_matrix_dressed,1),N_det)
CI_electronic_energy_dressed(:) = 0.d0
if (s2_eig) then
i_state = 0
allocate (s2_eigvalues(N_det))
allocate(index_good_state_array(N_det),good_state_array(N_det))
good_state_array = .False.
call u_0_S2_u_0(s2_eigvalues,eigenvectors,N_det,psi_det,N_int,&
N_det,size(eigenvectors,1))
do j=1,N_det
! Select at least n_states states with S^2 values closed to "expected_s2"
if(dabs(s2_eigvalues(j)-expected_s2).le.0.5d0)then
i_state +=1
index_good_state_array(i_state) = j
good_state_array(j) = .True.
endif
if(i_state.eq.N_states) then
exit
endif
enddo
if(i_state .ne.0)then
! Fill the first "i_state" states that have a correct S^2 value
do j = 1, i_state
do i=1,N_det
CI_eigenvectors_dressed(i,j) = eigenvectors(i,index_good_state_array(j))
enddo
CI_electronic_energy_dressed(j) = eigenvalues(index_good_state_array(j))
CI_eigenvectors_s2_dressed(j) = s2_eigvalues(index_good_state_array(j))
enddo
i_other_state = 0
do j = 1, N_det
if(good_state_array(j))cycle
i_other_state +=1
if(i_state+i_other_state.gt.n_states_diag)then
exit
endif
do i=1,N_det
CI_eigenvectors_dressed(i,i_state+i_other_state) = eigenvectors(i,j)
enddo
CI_electronic_energy_dressed(i_state+i_other_state) = eigenvalues(j)
CI_eigenvectors_s2_dressed(i_state+i_other_state) = s2_eigvalues(i_state+i_other_state)
enddo
else
print*,''
print*,'!!!!!!!! WARNING !!!!!!!!!'
print*,' Within the ',N_det,'determinants selected'
print*,' and the ',N_states_diag,'states requested'
print*,' We did not find any state with S^2 values close to ',expected_s2
print*,' We will then set the first N_states eigenvectors of the H matrix'
print*,' as the CI_eigenvectors_dressed'
print*,' You should consider more states and maybe ask for s2_eig to be .True. or just enlarge the CI space'
print*,''
do j=1,min(N_states_diag,N_det)
do i=1,N_det
CI_eigenvectors_dressed(i,j) = eigenvectors(i,j)
enddo
CI_electronic_energy_dressed(j) = eigenvalues(j)
CI_eigenvectors_s2_dressed(j) = s2_eigvalues(j)
enddo
endif
deallocate(index_good_state_array,good_state_array)
deallocate(s2_eigvalues)
else
call u_0_S2_u_0(CI_eigenvectors_s2_dressed,eigenvectors,N_det,psi_det,N_int,&
min(N_det,N_states_diag),size(eigenvectors,1))
! Select the "N_states_diag" states of lowest energy
do j=1,min(N_det,N_states_diag)
do i=1,N_det
CI_eigenvectors_dressed(i,j) = eigenvectors(i,j)
enddo
CI_electronic_energy_dressed(j) = eigenvalues(j)
enddo
endif
deallocate(eigenvectors,eigenvalues)
endif
END_PROVIDER

2
src/determinants/spindeterminants.irp.f
View File

@ -585,7 +585,7 @@ END_PROVIDER
enddo
!$OMP ENDDO
!$OMP END PARALLEL
call i8radix_sort(to_sort, psi_bilinear_matrix_transp_order, N_det,-1)
call i8sort(to_sort, psi_bilinear_matrix_transp_order, N_det)
call iset_order(psi_bilinear_matrix_transp_rows,psi_bilinear_matrix_transp_order,N_det)
call iset_order(psi_bilinear_matrix_transp_columns,psi_bilinear_matrix_transp_order,N_det)
!$OMP PARALLEL DO DEFAULT(SHARED) PRIVATE(l)

2
src/utils/set_multiple_levels_omp.irp.f
View File

@ -8,7 +8,7 @@ subroutine set_multiple_levels_omp(activate)
logical, intent(in) :: activate
if (activate) then
call omp_set_max_active_levels(5)
call omp_set_max_active_levels(3)
IRP_IF SET_NESTED
call omp_set_nested(.True.)

6
src/utils/sort.irp.f
View File

@ -356,7 +356,8 @@ BEGIN_TEMPLATE
if ( isize < 32) then
call insertion_$Xsort(x,iorder,isize)
else
call $Xradix_sort(x,iorder,isize,-1)
! call $Xradix_sort(x,iorder,isize,-1)
call quick_$Xsort(x,iorder,isize)
endif
end subroutine $Xsort
@ -450,7 +451,8 @@ BEGIN_TEMPLATE
if ( isize < 32) then
call insertion_$Xsort(x,iorder,isize)
else
call $Xradix_sort(x,iorder,isize,-1)
! call $Xradix_sort(x,iorder,isize,-1)
call quick_$Xsort(x,iorder,isize)
endif
end subroutine $Xsort