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Merge branch 'dev' into cleaning_kpts

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This commit is contained in:
Kevin Gasperich 2020-09-11 10:41:03 -05:00
commit d705956969
18 changed files with 781 additions and 482 deletions
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94
src/cipsi/cipsi.irp.f
View File

@ -1,11 +1,13 @@
subroutine run_cipsi
implicit none
use selection_types
BEGIN_DOC
! Selected Full Configuration Interaction with deterministic selection and
! stochastic PT2.
END_DOC
integer :: i,j,k
double precision, allocatable :: pt2(:), variance(:), norm(:), rpt2(:), zeros(:)
type(pt2_type) :: pt2_data, pt2_data_err
double precision, allocatable :: zeros(:)
integer :: to_select
logical, external :: qp_stop
@ -21,21 +23,25 @@ subroutine run_cipsi
rss = memory_of_double(N_states)*4.d0
call check_mem(rss,irp_here)
allocate (pt2(N_states), zeros(N_states), rpt2(N_states), norm(N_states), variance(N_states))
allocate (zeros(N_states))
call pt2_alloc(pt2_data, N_states)
call pt2_alloc(pt2_data_err, N_states)
double precision :: hf_energy_ref
logical :: has
double precision :: relative_error
!PROVIDE h_apply_buffer_allocated
relative_error=PT2_relative_error
zeros = 0.d0
pt2 = -huge(1.e0)
rpt2 = -huge(1.e0)
norm = 0.d0
variance = huge(1.e0)
pt2_data % pt2 = -huge(1.e0)
pt2_data % rpt2 = -huge(1.e0)
pt2_data % overlap(:,:) = 0.d0
pt2_data % variance = huge(1.e0)
if (is_complex) then
pt2_data % overlap_imag(:,:) = 0.d0
endif
if (s2_eig) then
call make_s2_eigenfunction
@ -77,14 +83,13 @@ subroutine run_cipsi
endif
double precision :: correlation_energy_ratio
double precision :: error(N_states)
correlation_energy_ratio = 0.d0
do while ( &
(N_det < N_det_max) .and. &
(maxval(abs(rpt2(1:N_states))) > pt2_max) .and. &
(maxval(abs(variance(1:N_states))) > variance_max) .and. &
(maxval(abs(pt2_data % pt2(1:N_states))) > pt2_max) .and. &
(maxval(abs(pt2_data % variance(1:N_states))) > variance_max) .and. &
(correlation_energy_ratio <= correlation_energy_ratio_max) &
)
write(*,'(A)') '--------------------------------------------------------------------------------'
@ -93,39 +98,33 @@ subroutine run_cipsi
to_select = int(sqrt(dble(N_states))*dble(N_det)*selection_factor)
to_select = max(N_states_diag, to_select)
if (do_pt2) then
pt2 = 0.d0
variance = 0.d0
norm = 0.d0
call pt2_dealloc(pt2_data)
call pt2_dealloc(pt2_data_err)
call pt2_alloc(pt2_data, N_states)
call pt2_alloc(pt2_data_err, N_states)
threshold_generators_save = threshold_generators
threshold_generators = 1.d0
SOFT_TOUCH threshold_generators
! if (is_complex) then
! call zmq_pt2_complex(psi_energy_with_nucl_rep,pt2,relative_error,error, variance, &
! norm, 0) ! Stochastic PT2
! else
call zmq_pt2(psi_energy_with_nucl_rep,pt2,relative_error,error, variance, &
norm, 0) ! Stochastic PT2
! endif
call ZMQ_pt2(psi_energy_with_nucl_rep,pt2_data,pt2_data_err,relative_error, 0) ! Stochastic PT2
threshold_generators = threshold_generators_save
SOFT_TOUCH threshold_generators
else
call ZMQ_selection(to_select, pt2, variance, norm)
call pt2_dealloc(pt2_data)
call pt2_alloc(pt2_data, N_states)
call ZMQ_selection(to_select, pt2_data)
endif
do k=1,N_states
rpt2(k) = pt2(k)/(1.d0 + norm(k))
enddo
correlation_energy_ratio = (psi_energy_with_nucl_rep(1) - hf_energy_ref) / &
(psi_energy_with_nucl_rep(1) + rpt2(1) - hf_energy_ref)
(psi_energy_with_nucl_rep(1) + pt2_data % rpt2(1) - hf_energy_ref)
correlation_energy_ratio = min(1.d0,correlation_energy_ratio)
call write_double(6,correlation_energy_ratio, 'Correlation ratio')
call print_summary(psi_energy_with_nucl_rep,pt2,error,variance,norm,N_det,N_occ_pattern,N_states,psi_s2)
call print_summary(psi_energy_with_nucl_rep, &
pt2_data, pt2_data_err, N_det,N_occ_pattern,N_states,psi_s2)
call save_energy(psi_energy_with_nucl_rep, rpt2)
call save_energy(psi_energy_with_nucl_rep, pt2_data % pt2)
call save_iterations(psi_energy_with_nucl_rep(1:N_states),rpt2,N_det)
call save_iterations(psi_energy_with_nucl_rep(1:N_states),pt2_data % rpt2,N_det)
call print_extrapolated_energy()
N_iter += 1
@ -135,15 +134,9 @@ subroutine run_cipsi
call copy_H_apply_buffer_to_wf()
! call save_wavefunction
!n_det_before = N_det
!to_select = int(sqrt(dble(N_states))*dble(N_det)*selection_factor)
!to_select = max(N_states_diag, to_select)
!call zmq_selection(to_select, pt2, variance, norm)
if (is_complex) then
! call zmq_selection_complex(to_select, pt2, variance, norm)
PROVIDE psi_coef_complex
else
! call zmq_selection(to_select, pt2, variance, norm)
PROVIDE psi_coef
endif
PROVIDE psi_det
@ -171,18 +164,13 @@ subroutine run_cipsi
endif
if (do_pt2) then
pt2(:) = 0.d0
variance(:) = 0.d0
norm(:) = 0.d0
call pt2_dealloc(pt2_data)
call pt2_dealloc(pt2_data_err)
call pt2_alloc(pt2_data, N_states)
call pt2_alloc(pt2_data_err, N_states)
threshold_generators = 1d0
SOFT_TOUCH threshold_generators
! if (is_complex) then
! call zmq_pt2_complex(psi_energy_with_nucl_rep, pt2,relative_error,error,variance, &
! norm,0) ! Stochastic PT2
! else
call ZMQ_pt2(psi_energy_with_nucl_rep, pt2,relative_error,error,variance, &
norm,0) ! Stochastic PT2
! endif
call ZMQ_pt2(psi_energy_with_nucl_rep, pt2_data, pt2_data_err, relative_error, 0) ! Stochastic PT2
SOFT_TOUCH threshold_generators
endif
print *, 'N_det = ', N_det
@ -190,15 +178,13 @@ subroutine run_cipsi
print *, 'N_states = ', N_states
print*, 'correlation_ratio = ', correlation_energy_ratio
do k=1,N_states
rpt2(k) = pt2(k)/(1.d0 + norm(k))
enddo
call save_energy(psi_energy_with_nucl_rep, rpt2)
call print_summary(psi_energy_with_nucl_rep(1:N_states),pt2,error,variance,norm,N_det,N_occ_pattern,N_states,psi_s2)
call save_iterations(psi_energy_with_nucl_rep(1:N_states),rpt2,N_det)
call save_energy(psi_energy_with_nucl_rep, pt2_data % pt2)
call print_summary(psi_energy_with_nucl_rep(1:N_states), &
pt2_data, pt2_data_err, N_det,N_occ_pattern,N_states,psi_s2)
call save_iterations(psi_energy_with_nucl_rep(1:N_states),pt2_data % rpt2,N_det)
call print_extrapolated_energy()
endif
call pt2_dealloc(pt2_data)
call pt2_dealloc(pt2_data_err)
end

16
src/cipsi/energy.irp.f
View File

@ -41,3 +41,19 @@ BEGIN_PROVIDER [ double precision, pt2_E0_denominator, (N_states) ]
END_PROVIDER
BEGIN_PROVIDER [ double precision, pt2_overlap, (N_states, N_states) ]
implicit none
BEGIN_DOC
! Overlap between the perturbed wave functions
END_DOC
pt2_overlap(1:N_states,1:N_states) = 0.d0
END_PROVIDER
BEGIN_PROVIDER [ double precision, pt2_overlap_imag, (N_states, N_states) ]
implicit none
BEGIN_DOC
! Overlap between the perturbed wave functions
END_DOC
pt2_overlap_imag(1:N_states,1:N_states) = 0.d0
END_PROVIDER

21
src/cipsi/pert_rdm_providers.irp.f
View File

@ -31,7 +31,7 @@ BEGIN_PROVIDER [double precision, pert_2rdm_provider, (n_orb_pert_rdm,n_orb_pert
END_PROVIDER
subroutine fill_buffer_double_rdm(i_generator, sp, h1, h2, bannedOrb, banned, fock_diag_tmp, E0, pt2, variance, norm, mat, buf, psi_det_connection, psi_coef_connection_reverse, n_det_connection)
subroutine fill_buffer_double_rdm(i_generator, sp, h1, h2, bannedOrb, banned, fock_diag_tmp, E0, pt2_data, mat, buf, psi_det_connection, psi_coef_connection_reverse, n_det_connection)
use bitmasks
use selection_types
implicit none
@ -44,12 +44,10 @@ subroutine fill_buffer_double_rdm(i_generator, sp, h1, h2, bannedOrb, banned, fo
logical, intent(in) :: bannedOrb(mo_num, 2), banned(mo_num, mo_num)
double precision, intent(in) :: fock_diag_tmp(mo_num)
double precision, intent(in) :: E0(N_states)
double precision, intent(inout) :: pt2(N_states)
double precision, intent(inout) :: variance(N_states)
double precision, intent(inout) :: norm(N_states)
type(pt2_type), intent(inout) :: pt2_data
type(selection_buffer), intent(inout) :: buf
logical :: ok
integer :: s1, s2, p1, p2, ib, j, istate
integer :: s1, s2, p1, p2, ib, j, istate, jstate
integer(bit_kind) :: mask(N_int, 2), det(N_int, 2)
double precision :: e_pert, delta_E, val, Hii, sum_e_pert, tmp, alpha_h_psi, coef(N_states)
double precision, external :: diag_H_mat_elem_fock
@ -152,9 +150,16 @@ subroutine fill_buffer_double_rdm(i_generator, sp, h1, h2, bannedOrb, banned, fo
e_pert = 0.5d0 * (tmp - delta_E)
coef(istate) = e_pert / alpha_h_psi
print*,e_pert,coef,alpha_h_psi
pt2(istate) = pt2(istate) + e_pert
variance(istate) = variance(istate) + alpha_h_psi * alpha_h_psi
norm(istate) = norm(istate) + coef(istate) * coef(istate)
pt2_data % pt2(istate) += e_pert
pt2_data % variance(istate) += alpha_h_psi * alpha_h_psi
enddo
do istate=1,N_states
alpha_h_psi = mat(istate, p1, p2)
e_pert = coef(istate) * alpha_h_psi
do jstate=1,N_states
pt2_data % overlap(jstate,jstate) = coef(istate) * coef(jstate)
enddo
if (weight_selection /= 5) then
! Energy selection

255
src/cipsi/pt2_stoch_routines.irp.f
View File

@ -115,7 +115,7 @@ end function
subroutine ZMQ_pt2(E, pt2,relative_error, error, variance, norm2, N_in)
subroutine ZMQ_pt2(E, pt2_data, pt2_data_err, relative_error, N_in)
use f77_zmq
use selection_types
@ -125,10 +125,8 @@ subroutine ZMQ_pt2(E, pt2,relative_error, error, variance, norm2, N_in)
integer, intent(in) :: N_in
! integer, intent(inout) :: N_in
double precision, intent(in) :: relative_error, E(N_states)
double precision, intent(out) :: pt2(N_states),error(N_states)
double precision, intent(out) :: variance(N_states),norm2(N_states)
type(pt2_type), intent(inout) :: pt2_data, pt2_data_err
!
integer :: i, N
double precision :: state_average_weight_save(N_states), w(N_states,4)
@ -154,11 +152,7 @@ subroutine ZMQ_pt2(E, pt2,relative_error, error, variance, norm2, N_in)
endif
if (N_det <= max(4,N_states) .or. pt2_N_teeth < 2) then
pt2=0.d0
variance=0.d0
norm2=0.d0
call ZMQ_selection(N_in, pt2, variance, norm2)
error(:) = 0.d0
call ZMQ_selection(N_in, pt2_data)
else
N = max(N_in,1) * N_states
@ -272,8 +266,8 @@ subroutine ZMQ_pt2(E, pt2,relative_error, error, variance, norm2, N_in)
mem_collector = 8.d0 * & ! bytes
( 1.d0*pt2_n_tasks_max & ! task_id, index
+ 0.635d0*N_det_generators & ! f,d
+ 3.d0*N_det_generators*N_states & ! eI, vI, nI
+ 3.d0*pt2_n_tasks_max*N_states & ! eI_task, vI_task, nI_task
+ pt2_n_tasks_max*pt2_type_size(N_states) & ! pt2_data_task
+ N_det_generators*pt2_type_size(N_states) & ! pt2_data_I
+ 4.d0*(pt2_N_teeth+1) & ! S, S2, T2, T3
+ 1.d0*(N_int*2.d0*N + N) & ! selection buffer
+ 1.d0*(N_int*2.d0*N + N) & ! sort selection buffer
@ -288,7 +282,7 @@ subroutine ZMQ_pt2(E, pt2,relative_error, error, variance, norm2, N_in)
nproc_target * 8.d0 * & ! bytes
( 0.5d0*pt2_n_tasks_max & ! task_id
+ 64.d0*pt2_n_tasks_max & ! task
+ 3.d0*pt2_n_tasks_max*N_states & ! pt2, variance, norm2
+ pt2_type_size(N_states)*pt2_n_tasks_max*N_states & ! pt2, variance, overlap
+ 1.d0*pt2_n_tasks_max & ! i_generator, subset
+ 1.d0*(N_int*2.d0*ii+ ii) & ! selection buffer
+ 1.d0*(N_int*2.d0*ii+ ii) & ! sort selection buffer
@ -321,21 +315,24 @@ subroutine ZMQ_pt2(E, pt2,relative_error, error, variance, norm2, N_in)
call omp_set_nested(.false.)
print '(A)', '========== ================= =========== =============== =============== ================='
print '(A)', ' Samples Energy Stat. Err Variance Norm^2 Seconds '
print '(A)', '========== ================= =========== =============== =============== ================='
print '(A)', '========== ======================= ===================== ===================== ==========='
print '(A)', ' Samples Energy Variance Norm^2 Seconds'
print '(A)', '========== ======================= ===================== ===================== ==========='
PROVIDE global_selection_buffer
!$OMP PARALLEL DEFAULT(shared) NUM_THREADS(nproc_target+1) &
!$OMP PRIVATE(i)
i = omp_get_thread_num()
if (i==0) then
call pt2_collector(zmq_socket_pull, E(pt2_stoch_istate),relative_error, w(1,1), w(1,2), w(1,3), w(1,4), b, N)
pt2(pt2_stoch_istate) = w(pt2_stoch_istate,1)
error(pt2_stoch_istate) = w(pt2_stoch_istate,2)
variance(pt2_stoch_istate) = w(pt2_stoch_istate,3)
norm2(pt2_stoch_istate) = w(pt2_stoch_istate,4)
call pt2_collector(zmq_socket_pull, E(pt2_stoch_istate),relative_error, pt2_data, pt2_data_err, b, N)
pt2_data % rpt2(pt2_stoch_istate) = &
pt2_data % pt2(pt2_stoch_istate)/(1.d0+pt2_data % overlap(pt2_stoch_istate,pt2_stoch_istate))
!TODO : We should use here the correct formula for the error of X/Y
pt2_data_err % rpt2(pt2_stoch_istate) = &
pt2_data_err % pt2(pt2_stoch_istate)/(1.d0 + pt2_data % overlap(pt2_stoch_istate,pt2_stoch_istate))
else
call pt2_slave_inproc(i)
@ -343,11 +340,48 @@ subroutine ZMQ_pt2(E, pt2,relative_error, error, variance, norm2, N_in)
!$OMP END PARALLEL
call end_parallel_job(zmq_to_qp_run_socket, zmq_socket_pull, 'pt2')
print '(A)', '========== ================= =========== =============== =============== ================='
print '(A)', '========== ======================= ===================== ===================== ==========='
do k=1,N_states
pt2_overlap(pt2_stoch_istate,k) = pt2_data % overlap(k,pt2_stoch_istate)
enddo
SOFT_TOUCH pt2_overlap
if (is_complex) then
!TODO: transpose/conjugate?
do k=1,N_states
pt2_overlap_imag(pt2_stoch_istate,k) = pt2_data % overlap_imag(k,pt2_stoch_istate)
enddo
SOFT_TOUCH pt2_overlap_imag
endif
enddo
FREE pt2_stoch_istate
! Symmetrize overlap
do j=2,N_states
do i=1,j-1
pt2_overlap(i,j) = 0.5d0 * (pt2_overlap(i,j) + pt2_overlap(j,i))
pt2_overlap(j,i) = pt2_overlap(i,j)
enddo
enddo
if (is_complex) then
!TODO: check sign
do j=2,N_states
do i=1,j-1
pt2_overlap_imag(i,j) = 0.5d0 * (pt2_overlap_imag(i,j) - pt2_overlap_imag(j,i))
pt2_overlap_imag(j,i) = -pt2_overlap_imag(i,j)
enddo
enddo
endif
print *, 'Overlap of perturbed states:'
do k=1,N_states
print *, pt2_overlap(k,:)
enddo
print *, '-------'
!TODO: print imag part?
if (N_in > 0) then
b%cur = min(N_in,b%cur)
if (s2_eig) then
@ -362,11 +396,8 @@ subroutine ZMQ_pt2(E, pt2,relative_error, error, variance, norm2, N_in)
state_average_weight(:) = state_average_weight_save(:)
TOUCH state_average_weight
endif
do k=N_det+1,N_states
pt2(k) = 0.d0
enddo
call update_pt2_and_variance_weights(pt2, variance, norm2, N_states)
call update_pt2_and_variance_weights(pt2_data, N_states)
end subroutine
@ -380,7 +411,7 @@ subroutine pt2_slave_inproc(i)
end
subroutine pt2_collector(zmq_socket_pull, E, relative_error, pt2, error, variance, norm2, b, N_)
subroutine pt2_collector(zmq_socket_pull, E, relative_error, pt2_data, pt2_data_err, b, N_)
use f77_zmq
use selection_types
use bitmasks
@ -389,15 +420,15 @@ subroutine pt2_collector(zmq_socket_pull, E, relative_error, pt2, error, varianc
integer(ZMQ_PTR), intent(in) :: zmq_socket_pull
double precision, intent(in) :: relative_error, E
double precision, intent(out) :: pt2(N_states), error(N_states)
double precision, intent(out) :: variance(N_states), norm2(N_states)
type(pt2_type), intent(inout) :: pt2_data, pt2_data_err
type(selection_buffer), intent(inout) :: b
integer, intent(in) :: N_
double precision, allocatable :: eI(:,:), eI_task(:,:), S(:), S2(:)
double precision, allocatable :: vI(:,:), vI_task(:,:), T2(:)
double precision, allocatable :: nI(:,:), nI_task(:,:), T3(:)
type(pt2_type), allocatable :: pt2_data_task(:)
type(pt2_type), allocatable :: pt2_data_I(:)
type(pt2_type), allocatable :: pt2_data_S(:)
type(pt2_type), allocatable :: pt2_data_S2(:)
type(pt2_type) :: pt2_data_teeth
integer(ZMQ_PTR),external :: new_zmq_to_qp_run_socket
integer(ZMQ_PTR) :: zmq_to_qp_run_socket
integer, external :: zmq_delete_tasks_async_send
@ -405,11 +436,15 @@ subroutine pt2_collector(zmq_socket_pull, E, relative_error, pt2, error, varianc
integer, external :: zmq_abort
integer, external :: pt2_find_sample_lr
PROVIDE pt2_stoch_istate
integer :: more, n, i, p, c, t, n_tasks, U
integer, allocatable :: task_id(:)
integer, allocatable :: index(:)
double precision :: v, x, x2, x3, avg, avg2, avg3, eqt, E0, v0, n0
double precision :: v, x, x2, x3, avg, avg2, avg3(N_states), eqt, E0, v0, n0(N_states)
double precision :: avg3im(N_states), n0im(N_states)
double precision :: eqta(N_states)
double precision :: time, time1, time0
integer, allocatable :: f(:)
@ -434,11 +469,10 @@ subroutine pt2_collector(zmq_socket_pull, E, relative_error, pt2, error, varianc
! updated in ZMQ_pt2
allocate(task_id(pt2_n_tasks_max), index(pt2_n_tasks_max), f(N_det_generators))
allocate(d(N_det_generators+1))
allocate(eI(N_states, N_det_generators), eI_task(N_states, pt2_n_tasks_max))
allocate(vI(N_states, N_det_generators), vI_task(N_states, pt2_n_tasks_max))
allocate(nI(N_states, N_det_generators), nI_task(N_states, pt2_n_tasks_max))
allocate(S(pt2_N_teeth+1), S2(pt2_N_teeth+1))
allocate(T2(pt2_N_teeth+1), T3(pt2_N_teeth+1))
allocate(pt2_data_task(pt2_n_tasks_max))
allocate(pt2_data_I(N_det_generators))
allocate(pt2_data_S(pt2_N_teeth+1))
allocate(pt2_data_S2(pt2_N_teeth+1))
@ -446,26 +480,37 @@ subroutine pt2_collector(zmq_socket_pull, E, relative_error, pt2, error, varianc
call create_selection_buffer(N_, N_*2, b2)
pt2(:) = -huge(1.)
error(:) = huge(1.)
variance(:) = huge(1.)
norm2(:) = 0.d0
S(:) = 0d0
S2(:) = 0d0
T2(:) = 0d0
T3(:) = 0d0
pt2_data % pt2(pt2_stoch_istate) = -huge(1.)
pt2_data_err % pt2(pt2_stoch_istate) = huge(1.)
pt2_data % variance(pt2_stoch_istate) = huge(1.)
pt2_data_err % variance(pt2_stoch_istate) = huge(1.)
pt2_data % overlap(:,pt2_stoch_istate) = 0.d0
pt2_data_err % overlap(:,pt2_stoch_istate) = huge(1.)
!TODO: init overlap_imag?
if (is_complex) then
pt2_data % overlap_imag(:,pt2_stoch_istate) = 0.d0
pt2_data_err % overlap_imag(:,pt2_stoch_istate) = 0.d0
endif
n = 1
t = 0
U = 0
eI(:,:) = 0d0
vI(:,:) = 0d0
nI(:,:) = 0d0
do i=1,pt2_n_tasks_max
call pt2_alloc(pt2_data_task(i),N_states)
enddo
do i=1,pt2_N_teeth+1
call pt2_alloc(pt2_data_S(i),N_states)
call pt2_alloc(pt2_data_S2(i),N_states)
enddo
do i=1,N_det_generators
call pt2_alloc(pt2_data_I(i),N_states)
enddo
f(:) = pt2_F(:)
d(:) = .false.
n_tasks = 0
E0 = E
v0 = 0.d0
n0 = 0.d0
n0(:) = 0.d0
n0im(:) = 0.d0
more = 1
call wall_time(time0)
time1 = time0
@ -485,11 +530,15 @@ subroutine pt2_collector(zmq_socket_pull, E, relative_error, pt2, error, varianc
t=t+1
E0 = 0.d0
v0 = 0.d0
n0 = 0.d0
n0(:) = 0.d0
n0im(:) = 0.d0
do i=pt2_n_0(t),1,-1
E0 += eI(pt2_stoch_istate, i)
v0 += vI(pt2_stoch_istate, i)
n0 += nI(pt2_stoch_istate, i)
E0 += pt2_data_I(i) % pt2(pt2_stoch_istate)
v0 += pt2_data_I(i) % variance(pt2_stoch_istate)
n0(:) += pt2_data_I(i) % overlap(:,pt2_stoch_istate)
if (is_complex) then
n0im(:) += pt2_data_I(i) % overlap_imag(:,pt2_stoch_istate)
endif
end do
else
exit
@ -499,45 +548,71 @@ subroutine pt2_collector(zmq_socket_pull, E, relative_error, pt2, error, varianc
! Add Stochastic part
c = pt2_R(n)
if(c > 0) then
!print *, 'c>0'
x = 0d0
x2 = 0d0
x3 = 0d0
call pt2_alloc(pt2_data_teeth,N_states)
do p=pt2_N_teeth, 1, -1
v = pt2_u_0 + pt2_W_T * (pt2_u(c) + dble(p-1))
i = pt2_find_sample_lr(v, pt2_cW,pt2_n_0(p),pt2_n_0(p+1))
x += eI(pt2_stoch_istate, i) * pt2_W_T / pt2_w(i)
x2 += vI(pt2_stoch_istate, i) * pt2_W_T / pt2_w(i)
x3 += nI(pt2_stoch_istate, i) * pt2_W_T / pt2_w(i)
S(p) += x
S2(p) += x*x
T2(p) += x2
T3(p) += x3
end do
avg = E0 + S(t) / dble(c)
avg2 = v0 + T2(t) / dble(c)
avg3 = n0 + T3(t) / dble(c)
v = pt2_W_T / pt2_w(i)
call pt2_add ( pt2_data_teeth, v, pt2_data_I(i) )
call pt2_add ( pt2_data_S(p), 1.d0, pt2_data_teeth )
call pt2_add2( pt2_data_S2(p), 1.d0, pt2_data_teeth )
enddo
call pt2_dealloc(pt2_data_teeth)
avg = E0 + pt2_data_S(t) % pt2(pt2_stoch_istate) / dble(c)
avg2 = v0 + pt2_data_S(t) % variance(pt2_stoch_istate) / dble(c)
avg3(:) = n0(:) + pt2_data_S(t) % overlap(:,pt2_stoch_istate) / dble(c)
if (is_complex) then
avg3im(:) = n0im(:) + pt2_data_S(t) % overlap_imag(:,pt2_stoch_istate) / dble(c)
endif
if ((avg /= 0.d0) .or. (n == N_det_generators) ) then
do_exit = .true.
endif
if (qp_stop()) then
stop_now = .True.
endif
pt2(pt2_stoch_istate) = avg
variance(pt2_stoch_istate) = avg2
norm2(pt2_stoch_istate) = avg3
pt2_data % pt2(pt2_stoch_istate) = avg
pt2_data % variance(pt2_stoch_istate) = avg2
pt2_data % overlap(:,pt2_stoch_istate) = avg3(:)
if (is_complex) then
pt2_data % overlap_imag(:,pt2_stoch_istate) = avg3im(:)
endif
call wall_time(time)
! 1/(N-1.5) : see Brugger, The American Statistician (23) 4 p. 32 (1969)
if(c > 2) then
eqt = dabs((S2(t) / c) - (S(t)/c)**2) ! dabs for numerical stability
eqt = dabs((pt2_data_S2(t) % pt2(pt2_stoch_istate) / c) - (pt2_data_S(t) % pt2(pt2_stoch_istate)/c)**2) ! dabs for numerical stability
eqt = sqrt(eqt / (dble(c) - 1.5d0))
error(pt2_stoch_istate) = eqt
pt2_data_err % pt2(pt2_stoch_istate) = eqt
eqt = dabs((pt2_data_S2(t) % variance(pt2_stoch_istate) / c) - (pt2_data_S(t) % variance(pt2_stoch_istate)/c)**2) ! dabs for numerical stability
eqt = sqrt(eqt / (dble(c) - 1.5d0))
pt2_data_err % variance(pt2_stoch_istate) = eqt
if (is_complex) then
eqta(:) = dabs((pt2_data_S2(t) % overlap(:,pt2_stoch_istate) / c) - &
(pt2_data_S(t) % overlap(:,pt2_stoch_istate)/c)**2 - &
(pt2_data_S(t) % overlap_imag(:,pt2_stoch_istate)/c)**2 ) ! dabs for numerical stability
else
eqta(:) = dabs((pt2_data_S2(t) % overlap(:,pt2_stoch_istate) / c) - (pt2_data_S(t) % overlap(:,pt2_stoch_istate)/c)**2) ! dabs for numerical stability
endif
eqta(:) = sqrt(eqta(:) / (dble(c) - 1.5d0))
pt2_data_err % overlap(:,pt2_stoch_istate) = eqta(:)
if ((time - time1 > 1.d0) .or. (n==N_det_generators)) then
time1 = time
print '(G10.3, 2X, F16.10, 2X, G10.3, 2X, F14.10, 2X, F14.10, 2X, F10.4, A10)', c, avg+E, eqt, avg2, avg3, time-time0, ''
print '(I10, X, F12.6, X, G10.3, X, F10.6, X, G10.3, X, F10.6, X, G10.3, X, F10.4)', c, &
pt2_data % pt2(pt2_stoch_istate) +E, &
pt2_data_err % pt2(pt2_stoch_istate), &
pt2_data % variance(pt2_stoch_istate), &
pt2_data_err % variance(pt2_stoch_istate), &
pt2_data % overlap(pt2_stoch_istate,pt2_stoch_istate), &
pt2_data_err % overlap(pt2_stoch_istate,pt2_stoch_istate), &
time-time0
if (stop_now .or. ( &
(do_exit .and. (dabs(error(pt2_stoch_istate)) / &
(1.d-20 + dabs(pt2(pt2_stoch_istate)) ) <= relative_error))) ) then
(do_exit .and. (dabs(pt2_data_err % pt2(pt2_stoch_istate)) / &
(1.d-20 + dabs(pt2_data % pt2(pt2_stoch_istate)) ) <= relative_error))) ) then
if (zmq_abort(zmq_to_qp_run_socket) == -1) then
call sleep(10)
if (zmq_abort(zmq_to_qp_run_socket) == -1) then
@ -552,10 +627,10 @@ subroutine pt2_collector(zmq_socket_pull, E, relative_error, pt2, error, varianc
else if(more == 0) then
exit
else
call pull_pt2_results(zmq_socket_pull, index, eI_task, vI_task, nI_task, task_id, n_tasks, b2)
call pull_pt2_results(zmq_socket_pull, index, pt2_data_task, task_id, n_tasks, b2)
if(n_tasks > pt2_n_tasks_max)then
print*,'PB !!!'
print*,'If you see this, send an email to Anthony scemama with the following content'
print*,'If you see this, send a bug report with the following content'
print*,irp_here
print*,'n_tasks,pt2_n_tasks_max = ',n_tasks,pt2_n_tasks_max
stop -1
@ -564,16 +639,14 @@ subroutine pt2_collector(zmq_socket_pull, E, relative_error, pt2, error, varianc
stop 'PT2: Unable to delete tasks (send)'
endif
do i=1,n_tasks
if(index(i).gt.size(eI,2).or.index(i).lt.1)then
if(index(i).gt.size(pt2_data_I,1).or.index(i).lt.1)then
print*,'PB !!!'
print*,'If you see this, send an email to Anthony scemama with the following content'
print*,'If you see this, send a bug report with the following content'
print*,irp_here
print*,'i,index(i),size(ei,2) = ',i,index(i),size(ei,2)
print*,'i,index(i),size(pt2_data_I,1) = ',i,index(i),size(pt2_data_I,1)
stop -1
endif
eI(1:N_states, index(i)) += eI_task(1:N_states,i)
vI(1:N_states, index(i)) += vI_task(1:N_states,i)
nI(1:N_states, index(i)) += nI_task(1:N_states,i)
call pt2_add(pt2_data_I(index(i)),1.d0,pt2_data_task(i))
f(index(i)) -= 1
end do
do i=1, b2%cur
@ -586,6 +659,16 @@ subroutine pt2_collector(zmq_socket_pull, E, relative_error, pt2, error, varianc
endif
end if
end do
do i=1,N_det_generators
call pt2_dealloc(pt2_data_I(i))
enddo
do i=1,pt2_N_teeth+1
call pt2_dealloc(pt2_data_S(i))
call pt2_dealloc(pt2_data_S2(i))
enddo
do i=1,pt2_n_tasks_max
call pt2_dealloc(pt2_data_task(i))
enddo
!print *, 'deleting b2'
call delete_selection_buffer(b2)
!print *, 'sorting b'

155
src/cipsi/pt2_type.irp.f Normal file
View File

@ -0,0 +1,155 @@
subroutine pt2_alloc(pt2_data,N)
implicit none
use selection_types
type(pt2_type), intent(inout) :: pt2_data
integer, intent(in) :: N
integer :: k
allocate(pt2_data % pt2(N) &
,pt2_data % variance(N) &
,pt2_data % rpt2(N) &
,pt2_data % overlap(N,N) &
)
pt2_data % pt2(:) = 0.d0
pt2_data % variance(:) = 0.d0
pt2_data % rpt2(:) = 0.d0
pt2_data % overlap(:,:) = 0.d0
if (is_complex) then
allocate(pt2_data % overlap_imag(N,N))
pt2_data % overlap_imag(:,:) = 0.d0
endif
end subroutine
subroutine pt2_dealloc(pt2_data)
implicit none
use selection_types
type(pt2_type), intent(inout) :: pt2_data
deallocate(pt2_data % pt2 &
,pt2_data % variance &
,pt2_data % rpt2 &
,pt2_data % overlap &
)
if (is_complex) then
deallocate(pt2_data % overlap_imag)
endif
end subroutine
subroutine pt2_add(p1, w, p2)
implicit none
use selection_types
BEGIN_DOC
! p1 += w * p2
END_DOC
type(pt2_type), intent(inout) :: p1
double precision, intent(in) :: w
type(pt2_type), intent(in) :: p2
if (w == 1.d0) then
p1 % pt2(:) = p1 % pt2(:) + p2 % pt2(:)
p1 % rpt2(:) = p1 % rpt2(:) + p2 % rpt2(:)
p1 % variance(:) = p1 % variance(:) + p2 % variance(:)
p1 % overlap(:,:) = p1 % overlap(:,:) + p2 % overlap(:,:)
if (is_complex) then
p1 % overlap_imag(:,:) = p1 % overlap_imag(:,:) + p2 % overlap_imag(:,:)
endif
else
p1 % pt2(:) = p1 % pt2(:) + w * p2 % pt2(:)
p1 % rpt2(:) = p1 % rpt2(:) + w * p2 % rpt2(:)
p1 % variance(:) = p1 % variance(:) + w * p2 % variance(:)
p1 % overlap(:,:) = p1 % overlap(:,:) + w * p2 % overlap(:,:)
if (is_complex) then
p1 % overlap_imag(:,:) = p1 % overlap_imag(:,:) + w * p2 % overlap_imag(:,:)
endif
endif
end subroutine
subroutine pt2_add2(p1, w, p2)
implicit none
use selection_types
BEGIN_DOC
! p1 += w * p2**2
END_DOC
type(pt2_type), intent(inout) :: p1
double precision, intent(in) :: w
type(pt2_type), intent(in) :: p2
if (w == 1.d0) then
p1 % pt2(:) = p1 % pt2(:) + p2 % pt2(:) * p2 % pt2(:)
p1 % rpt2(:) = p1 % rpt2(:) + p2 % rpt2(:) * p2 % rpt2(:)
p1 % variance(:) = p1 % variance(:) + p2 % variance(:) * p2 % variance(:)
p1 % overlap(:,:) = p1 % overlap(:,:) + p2 % overlap(:,:) * p2 % overlap(:,:)
if (is_complex) then
p1 % overlap(:,:) = p1 % overlap(:,:) + p2 % overlap_imag(:,:) * p2 % overlap_imag(:,:)
endif
else
p1 % pt2(:) = p1 % pt2(:) + w * p2 % pt2(:) * p2 % pt2(:)
p1 % rpt2(:) = p1 % rpt2(:) + w * p2 % rpt2(:) * p2 % rpt2(:)
p1 % variance(:) = p1 % variance(:) + w * p2 % variance(:) * p2 % variance(:)
p1 % overlap(:,:) = p1 % overlap(:,:) + w * p2 % overlap(:,:) * p2 % overlap(:,:)
if (is_complex) then
p1 % overlap(:,:) = p1 % overlap(:,:) + w * p2 % overlap_imag(:,:) * p2 % overlap_imag(:,:)
endif
endif
end subroutine
subroutine pt2_serialize(pt2_data, n, x)
implicit none
use selection_types
type(pt2_type), intent(in) :: pt2_data
integer, intent(in) :: n
double precision, intent(out) :: x(*)
integer :: i,k,n2
n2 = n*n
x(1:n) = pt2_data % pt2(1:n)
k=n
x(k+1:k+n) = pt2_data % rpt2(1:n)
k=k+n
x(k+1:k+n) = pt2_data % variance(1:n)
k=k+n
x(k+1:k+n2) = reshape(pt2_data % overlap(1:n,1:n), (/ n2 /))
if (is_complex) then
k=k+n2
x(k+1:k+n2) = reshape(pt2_data % overlap_imag(1:n,1:n), (/ n2 /))
endif
end
subroutine pt2_deserialize(pt2_data, n, x)
implicit none
use selection_types
type(pt2_type), intent(inout) :: pt2_data
integer, intent(in) :: n
double precision, intent(in) :: x(*)
integer :: i,k,n2
n2 = n*n
pt2_data % pt2(1:n) = x(1:n)
k=n
pt2_data % rpt2(1:n) = x(k+1:k+n)
k=k+n
pt2_data % variance(1:n) = x(k+1:k+n)
k=k+n
pt2_data % overlap(1:n,1:n) = reshape(x(k+1:k+n2), (/ n, n /))
if (is_complex) then
k=k+n2
pt2_data % overlap_imag(1:n,1:n) = reshape(x(k+1:k+n2), (/ n, n /))
endif
end

136
src/cipsi/run_pt2_slave.irp.f
View File

@ -61,7 +61,7 @@ subroutine run_pt2_slave_small(thread,iproc,energy)
type(selection_buffer) :: b
logical :: done, buffer_ready
double precision,allocatable :: pt2(:,:), variance(:,:), norm(:,:)
type(pt2_type), allocatable :: pt2_data(:)
integer :: n_tasks, k, N
integer, allocatable :: i_generator(:), subset(:)
@ -70,10 +70,7 @@ subroutine run_pt2_slave_small(thread,iproc,energy)
! logical :: sending
allocate(task_id(pt2_n_tasks_max), task(pt2_n_tasks_max))
allocate(pt2(N_states,pt2_n_tasks_max), i_generator(pt2_n_tasks_max), subset(pt2_n_tasks_max))
allocate(variance(N_states,pt2_n_tasks_max))
allocate(norm(N_states,pt2_n_tasks_max))
allocate(pt2_data(pt2_n_tasks_max), i_generator(pt2_n_tasks_max), subset(pt2_n_tasks_max))
zmq_to_qp_run_socket = new_zmq_to_qp_run_socket()
integer, external :: connect_to_taskserver
@ -120,13 +117,11 @@ subroutine run_pt2_slave_small(thread,iproc,energy)
double precision :: time0, time1
call wall_time(time0)
do k=1,n_tasks
pt2(:,k) = 0.d0
variance(:,k) = 0.d0
norm(:,k) = 0.d0
call pt2_alloc(pt2_data(k),N_states)
b%cur = 0
!double precision :: time2
!call wall_time(time2)
call select_connected(i_generator(k),energy,pt2(1,k),variance(1,k),norm(1,k),b,subset(k),pt2_F(i_generator(k)))
call select_connected(i_generator(k),energy,pt2_data(k),b,subset(k),pt2_F(i_generator(k)))
!call wall_time(time1)
!print *, i_generator(1), time1-time2, n_tasks, pt2_F(i_generator(1))
enddo
@ -138,11 +133,15 @@ subroutine run_pt2_slave_small(thread,iproc,energy)
done = .true.
endif
call sort_selection_buffer(b)
call push_pt2_results(zmq_socket_push, i_generator, pt2, variance, norm, b, task_id, n_tasks)
call push_pt2_results(zmq_socket_push, i_generator, pt2_data, b, task_id, n_tasks)
do k=1,n_tasks
call pt2_dealloc(pt2_data(k))
enddo
b%cur=0
! ! Try to adjust n_tasks around nproc/2 seconds per job
n_tasks = min(2*n_tasks,int( dble(n_tasks * nproc/2) / (time1 - time0 + 1.d0)))
n_tasks = min(n_tasks, pt2_n_tasks_max)
! n_tasks = 1
end do
@ -158,6 +157,7 @@ subroutine run_pt2_slave_small(thread,iproc,energy)
if (buffer_ready) then
call delete_selection_buffer(b)
endif
deallocate(pt2_data)
end subroutine
@ -171,8 +171,8 @@ subroutine run_pt2_slave_large(thread,iproc,energy)
integer :: rc, i
integer :: worker_id, ctask, ltask
character*(512), allocatable :: task(:)
integer, allocatable :: task_id(:)
character*(512) :: task
integer :: task_id(1)
integer(ZMQ_PTR),external :: new_zmq_to_qp_run_socket
integer(ZMQ_PTR) :: zmq_to_qp_run_socket
@ -183,20 +183,15 @@ subroutine run_pt2_slave_large(thread,iproc,energy)
type(selection_buffer) :: b
logical :: done, buffer_ready
double precision,allocatable :: pt2(:,:), variance(:,:), norm(:,:)
type(pt2_type) :: pt2_data(1)
integer :: n_tasks, k, N
integer, allocatable :: i_generator(:), subset(:)
integer :: i_generator(1), subset
integer :: bsize ! Size of selection buffers
logical :: sending
PROVIDE global_selection_buffer global_selection_buffer_lock
allocate(task_id(pt2_n_tasks_max), task(pt2_n_tasks_max))
allocate(pt2(N_states,pt2_n_tasks_max), i_generator(pt2_n_tasks_max), subset(pt2_n_tasks_max))
allocate(variance(N_states,pt2_n_tasks_max))
allocate(norm(N_states,pt2_n_tasks_max))
zmq_to_qp_run_socket = new_zmq_to_qp_run_socket()
integer, external :: connect_to_taskserver
@ -215,22 +210,17 @@ subroutine run_pt2_slave_large(thread,iproc,energy)
done = .False.
do while (.not.done)
n_tasks = max(1,n_tasks)
n_tasks = min(pt2_n_tasks_max,n_tasks)
integer, external :: get_tasks_from_taskserver
if (get_tasks_from_taskserver(zmq_to_qp_run_socket,worker_id, task_id, task, n_tasks) == -1) then
exit
endif
done = task_id(n_tasks) == 0
done = task_id(1) == 0
if (done) then
n_tasks = n_tasks-1
endif
if (n_tasks == 0) exit
do k=1,n_tasks
read (task(k),*) subset(k), i_generator(k), N
enddo
read (task,*) subset, i_generator(1), N
if (b%N == 0) then
! Only first time
bsize = min(N, (elec_alpha_num * (mo_num-elec_alpha_num))**2)
@ -242,17 +232,13 @@ subroutine run_pt2_slave_large(thread,iproc,energy)
double precision :: time0, time1
call wall_time(time0)
do k=1,n_tasks
pt2(:,k) = 0.d0
variance(:,k) = 0.d0
norm(:,k) = 0.d0
call pt2_alloc(pt2_data(1),N_states)
b%cur = 0
!double precision :: time2
!call wall_time(time2)
call select_connected(i_generator(k),energy,pt2(1,k),variance(1,k),norm(1,k),b,subset(k),pt2_F(i_generator(k)))
call select_connected(i_generator(1),energy,pt2_data(1),b,subset,pt2_F(i_generator(1)))
!call wall_time(time1)
!print *, i_generator(1), time1-time2, n_tasks, pt2_F(i_generator(1))
enddo
call wall_time(time1)
!print *, '-->', i_generator(1), time1-time0, n_tasks
@ -269,16 +255,14 @@ subroutine run_pt2_slave_large(thread,iproc,energy)
call omp_unset_lock(global_selection_buffer_lock)
if ( iproc == 1 ) then
call omp_set_lock(global_selection_buffer_lock)
call push_pt2_results_async_send(zmq_socket_push, i_generator, pt2, variance, norm, global_selection_buffer, task_id, n_tasks,sending)
call push_pt2_results_async_send(zmq_socket_push, i_generator, pt2_data, global_selection_buffer, task_id, n_tasks,sending)
global_selection_buffer%cur = 0
call omp_unset_lock(global_selection_buffer_lock)
else
call push_pt2_results_async_send(zmq_socket_push, i_generator, pt2, variance, norm, b, task_id, n_tasks,sending)
call push_pt2_results_async_send(zmq_socket_push, i_generator, pt2_data, b, task_id, n_tasks,sending)
endif
! ! Try to adjust n_tasks around nproc/2 seconds per job
! n_tasks = min(2*n_tasks,int( dble(n_tasks * nproc/2) / (time1 - time0 + 1.d0)))
n_tasks = 1
call pt2_dealloc(pt2_data(1))
end do
call push_pt2_results_async_recv(zmq_socket_push,b%mini,sending)
@ -298,39 +282,36 @@ subroutine run_pt2_slave_large(thread,iproc,energy)
end subroutine
subroutine push_pt2_results(zmq_socket_push, index, pt2, variance, norm, b, task_id, n_tasks)
subroutine push_pt2_results(zmq_socket_push, index, pt2_data, b, task_id, n_tasks)
use selection_types
use f77_zmq
implicit none
integer(ZMQ_PTR), intent(in) :: zmq_socket_push
double precision, intent(in) :: pt2(N_states,n_tasks)
double precision, intent(in) :: variance(N_states,n_tasks)
double precision, intent(in) :: norm(N_states,n_tasks)
type(pt2_type), intent(in) :: pt2_data(n_tasks)
integer, intent(in) :: n_tasks, index(n_tasks), task_id(n_tasks)
type(selection_buffer), intent(inout) :: b
logical :: sending
sending = .False.
call push_pt2_results_async_send(zmq_socket_push, index, pt2, variance, norm, b, task_id, n_tasks, sending)
call push_pt2_results_async_send(zmq_socket_push, index, pt2_data, b, task_id, n_tasks, sending)
call push_pt2_results_async_recv(zmq_socket_push, b%mini, sending)
end subroutine
subroutine push_pt2_results_async_send(zmq_socket_push, index, pt2, variance, norm, b, task_id, n_tasks, sending)
subroutine push_pt2_results_async_send(zmq_socket_push, index, pt2_data, b, task_id, n_tasks, sending)
use selection_types
use f77_zmq
implicit none
integer(ZMQ_PTR), intent(in) :: zmq_socket_push
double precision, intent(in) :: pt2(N_states,n_tasks)
double precision, intent(in) :: variance(N_states,n_tasks)
double precision, intent(in) :: norm(N_states,n_tasks)
type(pt2_type), intent(in) :: pt2_data(n_tasks)
integer, intent(in) :: n_tasks, index(n_tasks), task_id(n_tasks)
type(selection_buffer), intent(inout) :: b
logical, intent(inout) :: sending
integer :: rc
integer :: rc, i
integer*8 :: rc8
double precision, allocatable :: pt2_serialized(:,:)
if (sending) then
print *, irp_here, ': sending is true'
@ -358,32 +339,18 @@ subroutine push_pt2_results_async_send(zmq_socket_push, index, pt2, variance, no
endif
rc = f77_zmq_send( zmq_socket_push, pt2, 8*N_states*n_tasks, ZMQ_SNDMORE)
allocate(pt2_serialized (pt2_type_size(N_states),n_tasks) )
do i=1,n_tasks
call pt2_serialize(pt2_data(i),N_states,pt2_serialized(1,i))
enddo
rc = f77_zmq_send( zmq_socket_push, pt2_serialized, size(pt2_serialized)*8, ZMQ_SNDMORE)
deallocate(pt2_serialized)
if (rc == -1) then
print *, irp_here, ': error sending result'
stop 3
return
else if(rc /= 8*N_states*n_tasks) then
stop 'push'
endif
rc = f77_zmq_send( zmq_socket_push, variance, 8*N_states*n_tasks, ZMQ_SNDMORE)
if (rc == -1) then
print *, irp_here, ': error sending result'
stop 4
return
else if(rc /= 8*N_states*n_tasks) then
stop 'push'
endif
rc = f77_zmq_send( zmq_socket_push, norm, 8*N_states*n_tasks, ZMQ_SNDMORE)
if (rc == -1) then
print *, irp_here, ': error sending result'
stop 5
return
else if(rc /= 8*N_states*n_tasks) then
else if(rc /= size(pt2_serialized)*8) then
stop 'push'
endif
@ -484,19 +451,18 @@ end subroutine
subroutine pull_pt2_results(zmq_socket_pull, index, pt2, variance, norm, task_id, n_tasks, b)
subroutine pull_pt2_results(zmq_socket_pull, index, pt2_data, task_id, n_tasks, b)
use selection_types
use f77_zmq
implicit none
integer(ZMQ_PTR), intent(in) :: zmq_socket_pull
double precision, intent(inout) :: pt2(N_states,*)
double precision, intent(inout) :: variance(N_states,*)
double precision, intent(inout) :: norm(N_states,*)
type(pt2_type), intent(inout) :: pt2_data(*)
type(selection_buffer), intent(inout) :: b
integer, intent(out) :: index(*)
integer, intent(out) :: n_tasks, task_id(*)
integer :: rc, rn, i
integer*8 :: rc8
double precision, allocatable :: pt2_serialized(:,:)
rc = f77_zmq_recv( zmq_socket_pull, n_tasks, 4, 0)
if (rc == -1) then
@ -514,29 +480,19 @@ subroutine pull_pt2_results(zmq_socket_pull, index, pt2, variance, norm, task_id
stop 'pull'
endif
rc = f77_zmq_recv( zmq_socket_pull, pt2, N_states*8*n_tasks, 0)
allocate(pt2_serialized (pt2_type_size(N_states),n_tasks) )
rc = f77_zmq_recv( zmq_socket_pull, pt2_serialized, 8*size(pt2_serialized)*n_tasks, 0)
if (rc == -1) then
n_tasks = 1
task_id(1) = 0
else if(rc /= 8*N_states*n_tasks) then
else if(rc /= 8*size(pt2_serialized)) then
stop 'pull'
endif
rc = f77_zmq_recv( zmq_socket_pull, variance, N_states*8*n_tasks, 0)
if (rc == -1) then
n_tasks = 1
task_id(1) = 0
else if(rc /= 8*N_states*n_tasks) then
stop 'pull'
endif
rc = f77_zmq_recv( zmq_socket_pull, norm, N_states*8*n_tasks, 0)
if (rc == -1) then
n_tasks = 1
task_id(1) = 0
else if(rc /= 8*N_states*n_tasks) then
stop 'pull'
endif
do i=1,n_tasks
call pt2_deserialize(pt2_data(i),N_states,pt2_serialized(1,i))
enddo
deallocate(pt2_serialized)
rc = f77_zmq_recv( zmq_socket_pull, task_id, n_tasks*4, 0)
if (rc == -1) then

110
src/cipsi/run_selection_slave.irp.f
View File

@ -18,9 +18,8 @@ subroutine run_selection_slave(thread,iproc,energy)
type(selection_buffer) :: buf, buf2
logical :: done, buffer_ready
double precision :: pt2(N_states)
double precision :: variance(N_states)
double precision :: norm(N_states)
type(pt2_type) :: pt2_data
!todo: check for providers that are now unlinked for real/complex
PROVIDE psi_bilinear_matrix_columns_loc psi_det_alpha_unique psi_det_beta_unique
@ -33,6 +32,7 @@ subroutine run_selection_slave(thread,iproc,energy)
PROVIDE psi_selectors_coef_transp psi_det_sorted weight_selection
endif
call pt2_alloc(pt2_data,N_states)
zmq_to_qp_run_socket = new_zmq_to_qp_run_socket()
@ -47,9 +47,6 @@ subroutine run_selection_slave(thread,iproc,energy)
buf%N = 0
buffer_ready = .False.
ctask = 1
pt2(:) = 0d0
variance(:) = 0d0
norm(:) = 0.d0
do
integer, external :: get_task_from_taskserver
@ -74,7 +71,7 @@ subroutine run_selection_slave(thread,iproc,energy)
stop '-1'
end if
end if
call select_connected(i_generator,energy,pt2,variance,norm,buf,subset,pt2_F(i_generator))
call select_connected(i_generator,energy,pt2_data,buf,subset,pt2_F(i_generator))
endif
integer, external :: task_done_to_taskserver
@ -93,12 +90,10 @@ subroutine run_selection_slave(thread,iproc,energy)
if(ctask > 0) then
call sort_selection_buffer(buf)
! call merge_selection_buffers(buf,buf2)
!print *, task_id(1), pt2(1), buf%cur, ctask
call push_selection_results(zmq_socket_push, pt2, variance, norm, buf, task_id(1), ctask)
call push_selection_results(zmq_socket_push, pt2_data, buf, task_id(1), ctask)
call pt2_dealloc(pt2_data)
call pt2_alloc(pt2_data,N_states)
! buf%mini = buf2%mini
pt2(:) = 0d0
variance(:) = 0d0
norm(:) = 0d0
buf%cur = 0
end if
ctask = 0
@ -111,14 +106,12 @@ subroutine run_selection_slave(thread,iproc,energy)
if(ctask > 0) then
call sort_selection_buffer(buf)
! call merge_selection_buffers(buf,buf2)
call push_selection_results(zmq_socket_push, pt2, variance, norm, buf, task_id(1), ctask)
call push_selection_results(zmq_socket_push, pt2_data, buf, task_id(1), ctask)
! buf%mini = buf2%mini
pt2(:) = 0d0
variance(:) = 0d0
norm(:) = 0d0
buf%cur = 0
end if
ctask = 0
call pt2_dealloc(pt2_data)
integer, external :: disconnect_from_taskserver
if (disconnect_from_taskserver(zmq_to_qp_run_socket,worker_id) == -1) then
@ -134,18 +127,17 @@ subroutine run_selection_slave(thread,iproc,energy)
end subroutine
subroutine push_selection_results(zmq_socket_push, pt2, variance, norm, b, task_id, ntask)
subroutine push_selection_results(zmq_socket_push, pt2_data, b, task_id, ntasks)
use f77_zmq
use selection_types
implicit none
integer(ZMQ_PTR), intent(in) :: zmq_socket_push
double precision, intent(in) :: pt2(N_states)
double precision, intent(in) :: variance(N_states)
double precision, intent(in) :: norm(N_states)
type(pt2_type), intent(in) :: pt2_data
type(selection_buffer), intent(inout) :: b
integer, intent(in) :: ntask, task_id(*)
integer, intent(in) :: ntasks, task_id(*)
integer :: rc
double precision, allocatable :: pt2_serialized(:)
rc = f77_zmq_send( zmq_socket_push, b%cur, 4, ZMQ_SNDMORE)
if(rc /= 4) then
@ -153,20 +145,18 @@ subroutine push_selection_results(zmq_socket_push, pt2, variance, norm, b, task_
endif
rc = f77_zmq_send( zmq_socket_push, pt2, 8*N_states, ZMQ_SNDMORE)
if(rc /= 8*N_states) then
print *, 'f77_zmq_send( zmq_socket_push, pt2, 8*N_states, ZMQ_SNDMORE)'
endif
allocate(pt2_serialized (pt2_type_size(N_states)) )
call pt2_serialize(pt2_data,N_states,pt2_serialized)
rc = f77_zmq_send( zmq_socket_push, variance, 8*N_states, ZMQ_SNDMORE)
if(rc /= 8*N_states) then
print *, 'f77_zmq_send( zmq_socket_push, variance, 8*N_states, ZMQ_SNDMORE)'
endif
rc = f77_zmq_send( zmq_socket_push, norm, 8*N_states, ZMQ_SNDMORE)
if(rc /= 8*N_states) then
print *, 'f77_zmq_send( zmq_socket_push, norm, 8*N_states, ZMQ_SNDMORE)'
rc = f77_zmq_send( zmq_socket_push, pt2_serialized, size(pt2_serialized)*8, ZMQ_SNDMORE)
if (rc == -1) then
print *, irp_here, ': error sending result'
stop 3
return
else if(rc /= size(pt2_serialized)*8) then
stop 'push'
endif
deallocate(pt2_serialized)
if (b%cur > 0) then
@ -182,14 +172,14 @@ subroutine push_selection_results(zmq_socket_push, pt2, variance, norm, b, task_
endif
rc = f77_zmq_send( zmq_socket_push, ntask, 4, ZMQ_SNDMORE)
rc = f77_zmq_send( zmq_socket_push, ntasks, 4, ZMQ_SNDMORE)
if(rc /= 4) then
print *, 'f77_zmq_send( zmq_socket_push, ntask, 4, ZMQ_SNDMORE)'
print *, 'f77_zmq_send( zmq_socket_push, ntasks, 4, ZMQ_SNDMORE)'
endif
rc = f77_zmq_send( zmq_socket_push, task_id(1), ntask*4, 0)
if(rc /= 4*ntask) then
print *, 'f77_zmq_send( zmq_socket_push, task_id(1), ntask*4, 0)'
rc = f77_zmq_send( zmq_socket_push, task_id(1), ntasks*4, 0)
if(rc /= 4*ntasks) then
print *, 'f77_zmq_send( zmq_socket_push, task_id(1), ntasks*4, 0)'
endif
! Activate is zmq_socket_push is a REQ
@ -206,42 +196,34 @@ IRP_ENDIF
end subroutine
subroutine pull_selection_results(zmq_socket_pull, pt2, variance, norm, val, det, N, task_id, ntask)
subroutine pull_selection_results(zmq_socket_pull, pt2_data, val, det, N, task_id, ntasks)
use f77_zmq
use selection_types
implicit none
integer(ZMQ_PTR), intent(in) :: zmq_socket_pull
double precision, intent(inout) :: pt2(N_states)
double precision, intent(inout) :: variance(N_states)
double precision, intent(inout) :: norm(N_states)
type(pt2_type), intent(inout) :: pt2_data
double precision, intent(out) :: val(*)
integer(bit_kind), intent(out) :: det(N_int, 2, *)
integer, intent(out) :: N, ntask, task_id(*)
integer, intent(out) :: N, ntasks, task_id(*)
integer :: rc, rn, i
double precision, allocatable :: pt2_serialized(:)
rc = f77_zmq_recv( zmq_socket_pull, N, 4, 0)
if(rc /= 4) then
print *, 'f77_zmq_recv( zmq_socket_pull, N, 4, 0)'
endif
pt2(:) = 0.d0
variance(:) = 0.d0
norm(:) = 0.d0
rc = f77_zmq_recv( zmq_socket_pull, pt2, N_states*8, 0)
if(rc /= 8*N_states) then
print *, 'f77_zmq_recv( zmq_socket_pull, pt2, N_states*8, 0)'
allocate(pt2_serialized (pt2_type_size(N_states)) )
rc = f77_zmq_recv( zmq_socket_pull, pt2_serialized, 8*size(pt2_serialized), 0)
if (rc == -1) then
ntasks = 1
task_id(1) = 0
else if(rc /= 8*size(pt2_serialized)) then
stop 'pull'
endif
rc = f77_zmq_recv( zmq_socket_pull, variance, N_states*8, 0)
if(rc /= 8*N_states) then
print *, 'f77_zmq_recv( zmq_socket_pull, variance, N_states*8, 0)'
endif
rc = f77_zmq_recv( zmq_socket_pull, norm, N_states*8, 0)
if(rc /= 8*N_states) then
print *, 'f77_zmq_recv( zmq_socket_pull, norm, N_states*8, 0)'
endif
call pt2_deserialize(pt2_data,N_states,pt2_serialized)
deallocate(pt2_serialized)
if (N>0) then
rc = f77_zmq_recv( zmq_socket_pull, val(1), 8*N, 0)
@ -255,14 +237,14 @@ subroutine pull_selection_results(zmq_socket_pull, pt2, variance, norm, val, det
endif
endif
rc = f77_zmq_recv( zmq_socket_pull, ntask, 4, 0)
rc = f77_zmq_recv( zmq_socket_pull, ntasks, 4, 0)
if(rc /= 4) then
print *, 'f77_zmq_recv( zmq_socket_pull, ntask, 4, 0)'
print *, 'f77_zmq_recv( zmq_socket_pull, ntasks, 4, 0)'
endif
rc = f77_zmq_recv( zmq_socket_pull, task_id(1), ntask*4, 0)
if(rc /= 4*ntask) then
print *, 'f77_zmq_recv( zmq_socket_pull, task_id(1), ntask*4, 0)'
rc = f77_zmq_recv( zmq_socket_pull, task_id(1), ntasks*4, 0)
if(rc /= 4*ntasks) then
print *, 'f77_zmq_recv( zmq_socket_pull, task_id(1), ntasks*4, 0)'
endif
! Activate is zmq_socket_pull is a REP

183
src/cipsi/selection.irp.f
View File

@ -19,22 +19,26 @@ BEGIN_PROVIDER [ double precision, variance_match_weight, (N_states) ]
variance_match_weight(:) = 1.d0
END_PROVIDER
subroutine update_pt2_and_variance_weights(pt2, variance, norm2, N_st)
subroutine update_pt2_and_variance_weights(pt2_data, N_st)
implicit none
use selection_types
BEGIN_DOC
! Updates the PT2- and Variance- matching weights.
END_DOC
integer, intent(in) :: N_st
double precision, intent(in) :: pt2(N_st)
double precision, intent(in) :: variance(N_st)
double precision, intent(in) :: norm2(N_st)
type(pt2_type), intent(in) :: pt2_data
double precision :: pt2(N_st)
double precision :: variance(N_st)
double precision :: avg, rpt2(N_st), element, dt, x
double precision :: avg, element, dt, x
integer :: k
integer, save :: i_iter=0
integer, parameter :: i_itermax = 1
double precision, allocatable, save :: memo_variance(:,:), memo_pt2(:,:)
pt2(:) = pt2_data % pt2(:)
variance(:) = pt2_data % variance(:)
if (i_iter == 0) then
allocate(memo_variance(N_st,i_itermax), memo_pt2(N_st,i_itermax))
memo_pt2(:,:) = 1.d0
@ -48,11 +52,6 @@ subroutine update_pt2_and_variance_weights(pt2, variance, norm2, N_st)
dt = 2.0d0
do k=1,N_st
! rPT2
rpt2(k) = pt2(k)/(1.d0 + norm2(k))
enddo
avg = sum(pt2(1:N_st)) / dble(N_st) - 1.d-32 ! Avoid future division by zero
do k=1,N_st
element = exp(dt*(pt2(k)/avg -1.d0))
@ -179,16 +178,14 @@ subroutine get_mask_phase(det1, pm, Nint)
end subroutine
subroutine select_connected(i_generator,E0,pt2,variance,norm2,b,subset,csubset)
subroutine select_connected(i_generator,E0,pt2_data,b,subset,csubset)
!todo: simplify for kpts
use bitmasks
use selection_types
implicit none
integer, intent(in) :: i_generator, subset, csubset
type(selection_buffer), intent(inout) :: b
double precision, intent(inout) :: pt2(N_states)
double precision, intent(inout) :: variance(N_states)
double precision, intent(inout) :: norm2(N_states)
type(pt2_type), intent(inout) :: pt2_data
integer :: k,l
double precision, intent(in) :: E0(N_states)
@ -209,7 +206,7 @@ subroutine select_connected(i_generator,E0,pt2,variance,norm2,b,subset,csubset)
particle_mask(k,1) = iand(generators_bitmask(k,1,s_part), not(psi_det_generators(k,1,i_generator)) )
particle_mask(k,2) = iand(generators_bitmask(k,2,s_part), not(psi_det_generators(k,2,i_generator)) )
enddo
call select_singles_and_doubles(i_generator,hole_mask,particle_mask,fock_diag_tmp,E0,pt2,variance,norm2,b,subset,csubset)
call select_singles_and_doubles(i_generator,hole_mask,particle_mask,fock_diag_tmp,E0,pt2_data,b,subset,csubset)
deallocate(fock_diag_tmp)
end subroutine
@ -258,7 +255,7 @@ double precision function get_phase_bi(phasemask, s1, s2, h1, p1, h2, p2, Nint)
end
subroutine select_singles_and_doubles(i_generator,hole_mask,particle_mask,fock_diag_tmp,E0,pt2,variance,norm2,buf,subset,csubset)
subroutine select_singles_and_doubles(i_generator,hole_mask,particle_mask,fock_diag_tmp,E0,pt2_data,buf,subset,csubset)
use bitmasks
use selection_types
implicit none
@ -270,9 +267,7 @@ subroutine select_singles_and_doubles(i_generator,hole_mask,particle_mask,fock_d
integer(bit_kind), intent(in) :: hole_mask(N_int,2), particle_mask(N_int,2)
double precision, intent(in) :: fock_diag_tmp(mo_num)
double precision, intent(in) :: E0(N_states)
double precision, intent(inout) :: pt2(N_states)
double precision, intent(inout) :: variance(N_states)
double precision, intent(inout) :: norm2(N_states)
type(pt2_type), intent(inout) :: pt2_data
type(selection_buffer), intent(inout) :: buf
integer :: h1,h2,s1,s2,s3,i1,i2,ib,sp,k,i,j,nt,ii,sze
@ -746,7 +741,8 @@ subroutine select_singles_and_doubles(i_generator,hole_mask,particle_mask,fock_d
call splash_pq_complex(mask, sp, minilist, i_generator, interesting(0), bannedOrb, banned, mat_complex, interesting)
if(.not.pert_2rdm)then
call fill_buffer_double_complex(i_generator, sp, h1, h2, bannedOrb, banned, fock_diag_tmp, E0, pt2, variance, norm2, mat_complex, buf)
!call fill_buffer_double_complex(i_generator, sp, h1, h2, bannedOrb, banned, fock_diag_tmp, E0, pt2, variance, norm2, mat_complex, buf)
call fill_buffer_double_complex(i_generator, sp, h1, h2, bannedOrb, banned, fock_diag_tmp, E0, pt2_data, mat_complex, buf)
else
print*,irp_here,' not implemented for complex (fill_buffer_double_rdm_complex)'
stop -1
@ -756,9 +752,9 @@ subroutine select_singles_and_doubles(i_generator,hole_mask,particle_mask,fock_d
call splash_pq(mask, sp, minilist, i_generator, interesting(0), bannedOrb, banned, mat, interesting)
if(.not.pert_2rdm)then
call fill_buffer_double(i_generator, sp, h1, h2, bannedOrb, banned, fock_diag_tmp, E0, pt2, variance, norm2, mat, buf)
call fill_buffer_double(i_generator, sp, h1, h2, bannedOrb, banned, fock_diag_tmp, E0, pt2_data, mat, buf)
else
call fill_buffer_double_rdm(i_generator, sp, h1, h2, bannedOrb, banned, fock_diag_tmp, E0, pt2, variance, norm2, mat, buf,fullminilist, coef_fullminilist_rev, fullinteresting(0))
call fill_buffer_double_rdm(i_generator, sp, h1, h2, bannedOrb, banned, fock_diag_tmp, E0, pt2_data, mat, buf,fullminilist, coef_fullminilist_rev, fullinteresting(0))
endif
endif!complex
end if
@ -787,7 +783,7 @@ end subroutine
subroutine fill_buffer_double(i_generator, sp, h1, h2, bannedOrb, banned, fock_diag_tmp, E0, pt2, variance, norm2, mat, buf)
subroutine fill_buffer_double(i_generator, sp, h1, h2, bannedOrb, banned, fock_diag_tmp, E0, pt2_data, mat, buf)
use bitmasks
use selection_types
implicit none
@ -797,14 +793,13 @@ subroutine fill_buffer_double(i_generator, sp, h1, h2, bannedOrb, banned, fock_d
logical, intent(in) :: bannedOrb(mo_num, 2), banned(mo_num, mo_num)
double precision, intent(in) :: fock_diag_tmp(mo_num)
double precision, intent(in) :: E0(N_states)
double precision, intent(inout) :: pt2(N_states)
double precision, intent(inout) :: variance(N_states)
double precision, intent(inout) :: norm2(N_states)
type(pt2_type), intent(inout) :: pt2_data
type(selection_buffer), intent(inout) :: buf
logical :: ok
integer :: s1, s2, p1, p2, ib, j, istate
integer :: s1, s2, p1, p2, ib, j, istate, jstate
integer(bit_kind) :: mask(N_int, 2), det(N_int, 2)
double precision :: e_pert, delta_E, val, Hii, w, tmp, alpha_h_psi, coef
double precision :: e_pert(N_states), coef(N_states), X(N_states)
double precision :: delta_E, val, Hii, w, tmp, alpha_h_psi
double precision, external :: diag_H_mat_elem_fock
double precision :: E_shift
@ -812,7 +807,12 @@ subroutine fill_buffer_double(i_generator, sp, h1, h2, bannedOrb, banned, fock_d
double precision, allocatable :: values(:)
integer, allocatable :: keys(:,:)
integer :: nkeys
double precision :: s_weight(N_states,N_states)
do jstate=1,N_states
do istate=1,N_states
s_weight(istate,jstate) = dsqrt(selection_weight(istate)*selection_weight(jstate))
enddo
enddo
if(sp == 3) then
s1 = 1
@ -902,18 +902,42 @@ subroutine fill_buffer_double(i_generator, sp, h1, h2, bannedOrb, banned, fock_d
if (delta_E < 0.d0) then
tmp = -tmp
endif
e_pert = 0.5d0 * (tmp - delta_E)
e_pert(istate) = 0.5d0 * (tmp - delta_E)
if (dabs(alpha_h_psi) > 1.d-4) then
coef = e_pert / alpha_h_psi
coef(istate) = e_pert(istate) / alpha_h_psi
else
coef = alpha_h_psi / delta_E
coef(istate) = alpha_h_psi / delta_E
endif
pt2(istate) = pt2(istate) + e_pert
variance(istate) = variance(istate) + alpha_h_psi * alpha_h_psi
norm2(istate) = norm2(istate) + coef * coef
if (e_pert(istate) < 0.d0) then
X(istate) = -dsqrt(-e_pert(istate))
else
X(istate) = dsqrt(e_pert(istate))
endif
enddo
! ! Gram-Schmidt using input overlap matrix
! do istate=1,N_states
! do jstate=1,istate-1
! if ( (pt2_overlap(jstate,istate) == 0.d0).or.(pt2_overlap(jstate,jstate) == 0.d0) ) cycle
! coef(istate) = coef(istate) - pt2_overlap(jstate,istate)/pt2_overlap(jstate,jstate) * coef(jstate)
! enddo
! enddo
do istate=1, N_states
do jstate=1,N_states
pt2_data % overlap(jstate,istate) += coef(jstate) * coef(istate)
enddo
enddo
do istate=1,N_states
alpha_h_psi = mat(istate, p1, p2)
pt2_data % variance(istate) += alpha_h_psi * alpha_h_psi
pt2_data % pt2(istate) += e_pert(istate)
!!!DEBUG
! pt2(istate) = pt2(istate) - e_pert + alpha_h_psi**2/delta_E
! delta_E = E0(istate) - Hii + E_shift
! pt2_data % pt2(istate) = pt2_data % pt2(istate) + alpha_h_psi**2/delta_E
!
! integer :: k
! double precision :: alpha_h_psi_2,hij
@ -934,14 +958,26 @@ subroutine fill_buffer_double(i_generator, sp, h1, h2, bannedOrb, banned, fock_d
case(5)
! Variance selection
w = w - alpha_h_psi * alpha_h_psi * selection_weight(istate)
w = w - alpha_h_psi * alpha_h_psi * s_weight(istate,istate)
do jstate=1,N_states
if (istate == jstate) cycle
w = w + alpha_h_psi*mat(jstate,p1,p2) * s_weight(istate,jstate)
enddo
case(6)
w = w - coef * coef * selection_weight(istate)
w = w - coef(istate) * coef(istate) * s_weight(istate,istate)
do jstate=1,N_states
if (istate == jstate) cycle
w = w + coef(istate)*coef(jstate) * s_weight(istate,jstate)
enddo
case default
! Energy selection
w = w + e_pert * selection_weight(istate)
w = w + e_pert(istate) * s_weight(istate,istate)
do jstate=1,N_states
if (istate == jstate) cycle
w = w - dabs(X(istate))*X(jstate) * s_weight(istate,jstate)
enddo
end select
end do
@ -2049,7 +2085,7 @@ end
! !
!==============================================================================!
subroutine fill_buffer_double_complex(i_generator, sp, h1, h2, bannedOrb, banned, fock_diag_tmp, E0, pt2, variance, norm2, mat, buf)
subroutine fill_buffer_double_complex(i_generator, sp, h1, h2, bannedOrb, banned, fock_diag_tmp, E0, pt2_data, mat, buf)
!todo: should be okay for complex
use bitmasks
use selection_types
@ -2060,15 +2096,14 @@ subroutine fill_buffer_double_complex(i_generator, sp, h1, h2, bannedOrb, banned
logical, intent(in) :: bannedOrb(mo_num, 2), banned(mo_num, mo_num)
double precision, intent(in) :: fock_diag_tmp(mo_num)
double precision, intent(in) :: E0(N_states)
double precision, intent(inout) :: pt2(N_states)
double precision, intent(inout) :: variance(N_states)
double precision, intent(inout) :: norm2(N_states)
type(pt2_type), intent(inout) :: pt2_date
type(selection_buffer), intent(inout) :: buf
logical :: ok
integer :: s1, s2, p1, p2, ib, j, istate
integer :: s1, s2, p1, p2, ib, j, istate, jstate
integer(bit_kind) :: mask(N_int, 2), det(N_int, 2)
double precision :: e_pert, delta_E, val, Hii, w, tmp
complex*16 :: alpha_h_psi, coef, val_c
double precision :: e_pert(n_states), x(n_states)
double precision :: delta_E, val, Hii, w, tmp
complex*16 :: alpha_h_psi, coef(n_states), val_c
double precision, external :: diag_H_mat_elem_fock
double precision :: E_shift
@ -2076,7 +2111,12 @@ subroutine fill_buffer_double_complex(i_generator, sp, h1, h2, bannedOrb, banned
! double precision, allocatable :: values(:)
! integer, allocatable :: keys(:,:)
! integer :: nkeys
double precision :: s_weight(n_states,n_states)
do jstate=1,n_states
do istate=1,n_states
s_weight(istate,jstate) = dsqrt(selection_weight(istate)*selection_weight(jstate))
enddo
enddo
if(sp == 3) then
s1 = 1
@ -2166,15 +2206,32 @@ subroutine fill_buffer_double_complex(i_generator, sp, h1, h2, bannedOrb, banned
if (delta_E < 0.d0) then
tmp = -tmp
endif
e_pert = 0.5d0 * (tmp - delta_E)
e_pert(istate) = 0.5d0 * (tmp - delta_E)
!TODO: check conjugate for coef
if (cdabs(alpha_h_psi) > 1.d-4) then
coef = e_pert / alpha_h_psi
coef(istate) = e_pert / alpha_h_psi
else
coef = alpha_h_psi / delta_E
coef(istate) = alpha_h_psi / delta_E
endif
pt2(istate) = pt2(istate) + e_pert
variance(istate) = variance(istate) + cdabs(alpha_h_psi * alpha_h_psi)
norm2(istate) = norm2(istate) + cdabs(coef * coef)
if (e_pert(istate) < 0.d0) then
x(istate) = -dsqrt(-e_pert(istate))
else
x(istate) = dsqrt(e_pert(istate))
endif
enddo
do istate=1,n_states
do jstate=1,n_states
val_c = coef(jstate) * dconjg(coef(istate))
pt2_data % overlap(jstate,istate) += dble(val_c)
pt2_data % overlap_imag(jstate,istate) += dimag(val_c)
enddo
enddo
do istate=1,n_states
alpha_h_psi = mat(istate, p1, p2)
pt2_data % variance(istate) += cdabs(alpha_h_psi * alpha_h_psi)
pt2_data % pt2(istate) += e_pert(istate)
!!!DEBUG
! integer :: k
@ -2194,16 +2251,30 @@ subroutine fill_buffer_double_complex(i_generator, sp, h1, h2, bannedOrb, banned
select case (weight_selection)
!TODO: check off-diagonals
case(5)
! Variance selection
w = w - cdabs(alpha_h_psi * alpha_h_psi) * selection_weight(istate)
w = w - cdabs(alpha_h_psi * alpha_h_psi) * s_weight(istate,istate)
do jstate=1,n_states
if (istate == jstate) cycle
w = w + cdabs(alpha_h_psi * mat(jstate,p1,p2)) * s_weight(istate,jstate)
enddo
case(6)
w = w - cdabs(coef * coef) * selection_weight(istate)
w = w - cdabs(coef(istate) * coef(istate)) * s_weight(istate,istate)
do jstate=1,n_states
if (istate == jstate) cycle
w = w + cdabs(coef(istate)*coef(jstate)) * s_weight(istate,jstate)
enddo
case default
! Energy selection
w = w + e_pert * selection_weight(istate)
w = w + e_pert(istate) * s_weight(istate,istate)
do jstate=1,n_states
if (istate == jstate) cycle
!TODO: why dabs?
w = w - dabs(x(istate))*x(jstate) * s_weight(istate,jstate)
enddo
end select
end do

21
src/cipsi/selection_types.f90
View File

@ -5,5 +5,26 @@ module selection_types
double precision, pointer :: val(:)
double precision :: mini
endtype
type pt2_type
double precision, allocatable :: pt2(:)
double precision, allocatable :: rpt2(:)
double precision, allocatable :: variance(:)
double precision, allocatable :: overlap(:,:)
endtype
contains
integer function pt2_type_size(N)
implicit none
integer, intent(in) :: N
if (is_complex) then
pt2_type_size = (3*n + 2*n*n)
else
pt2_type_size = (3*n + n*n)
endif
end function
end module

70
src/cipsi/stochastic_cipsi.irp.f
View File

@ -1,13 +1,16 @@
subroutine run_stochastic_cipsi
use selection_types
implicit none
BEGIN_DOC
! Selected Full Configuration Interaction with Stochastic selection and PT2.
END_DOC
integer :: i,j,k
double precision, allocatable :: pt2(:), variance(:), norm2(:), rpt2(:), zeros(:)
double precision, allocatable :: zeros(:)
integer :: to_select
type(pt2_type) :: pt2_data, pt2_data_err
logical, external :: qp_stop
double precision :: rss
double precision, external :: memory_of_double
PROVIDE H_apply_buffer_allocated
@ -19,7 +22,9 @@ subroutine run_stochastic_cipsi
rss = memory_of_double(N_states)*4.d0
call check_mem(rss,irp_here)
allocate (pt2(N_states), zeros(N_states), rpt2(N_states), norm2(N_states), variance(N_states))
allocate (zeros(N_states))
call pt2_alloc(pt2_data, N_states)
call pt2_alloc(pt2_data_err, N_states)
double precision :: hf_energy_ref
logical :: has
@ -28,10 +33,13 @@ subroutine run_stochastic_cipsi
relative_error=PT2_relative_error
zeros = 0.d0
pt2 = -huge(1.e0)
rpt2 = -huge(1.e0)
norm2 = 0.d0
variance = huge(1.e0)
pt2_data % pt2 = -huge(1.e0)
pt2_data % rpt2 = -huge(1.e0)
pt2_data % overlap= 0.d0
pt2_data % variance = huge(1.e0)
if (is_complex) then
pt2_data % overlap_imag = 0.d0
endif
if (s2_eig) then
call make_s2_eigenfunction
@ -73,14 +81,13 @@ subroutine run_stochastic_cipsi
endif
double precision :: correlation_energy_ratio
double precision :: error(N_states)
correlation_energy_ratio = 0.d0
do while ( &
(N_det < N_det_max) .and. &
(maxval(abs(rpt2(1:N_states))) > pt2_max) .and. &
(maxval(abs(variance(1:N_states))) > variance_max) .and. &
(maxval(abs(pt2_data % pt2(1:N_states))) > pt2_max) .and. &
(maxval(abs(pt2_data % variance(1:N_states))) > variance_max) .and. &
(correlation_energy_ratio <= correlation_energy_ratio_max) &
)
write(*,'(A)') '--------------------------------------------------------------------------------'
@ -89,26 +96,24 @@ subroutine run_stochastic_cipsi
to_select = int(sqrt(dble(N_states))*dble(N_det)*selection_factor)
to_select = max(N_states_diag, to_select)
pt2 = 0.d0
variance = 0.d0
norm2 = 0.d0
call ZMQ_pt2(psi_energy_with_nucl_rep,pt2,relative_error,error, variance, &
norm2, to_select) ! Stochastic PT2 and selection
do k=1,N_states
rpt2(k) = pt2(k)/(1.d0 + norm2(k))
enddo
call pt2_dealloc(pt2_data)
call pt2_dealloc(pt2_data_err)
call pt2_alloc(pt2_data, N_states)
call pt2_alloc(pt2_data_err, N_states)
call ZMQ_pt2(psi_energy_with_nucl_rep,pt2_data,pt2_data_err,relative_error,to_select) ! Stochastic PT2 and selection
correlation_energy_ratio = (psi_energy_with_nucl_rep(1) - hf_energy_ref) / &
(psi_energy_with_nucl_rep(1) + rpt2(1) - hf_energy_ref)
(psi_energy_with_nucl_rep(1) + pt2_data % rpt2(1) - hf_energy_ref)
correlation_energy_ratio = min(1.d0,correlation_energy_ratio)
call write_double(6,correlation_energy_ratio, 'Correlation ratio')
call print_summary(psi_energy_with_nucl_rep,pt2,error,variance,norm2,N_det,N_occ_pattern,N_states,psi_s2)
call print_summary(psi_energy_with_nucl_rep, &
pt2_data, pt2_data_err, N_det,N_occ_pattern,N_states,psi_s2)
call save_energy(psi_energy_with_nucl_rep, rpt2)
call save_energy(psi_energy_with_nucl_rep, pt2_data % pt2)
call save_iterations(psi_energy_with_nucl_rep(1:N_states),rpt2,N_det)
call save_iterations(psi_energy_with_nucl_rep(1:N_states),pt2_data % rpt2,N_det)
call print_extrapolated_energy()
N_iter += 1
@ -147,20 +152,19 @@ subroutine run_stochastic_cipsi
call save_energy(psi_energy_with_nucl_rep, zeros)
endif
pt2(:) = 0.d0
variance(:) = 0.d0
norm2(:) = 0.d0
call ZMQ_pt2(psi_energy_with_nucl_rep, pt2,relative_error,error,variance, &
norm2,0) ! Stochastic PT2
call pt2_dealloc(pt2_data)
call pt2_dealloc(pt2_data_err)
call pt2_alloc(pt2_data, N_states)
call pt2_alloc(pt2_data_err, N_states)
call ZMQ_pt2(psi_energy_with_nucl_rep, pt2_data, pt2_data_err, relative_error, 0) ! Stochastic PT2
do k=1,N_states
rpt2(k) = pt2(k)/(1.d0 + norm2(k))
enddo
call save_energy(psi_energy_with_nucl_rep, rpt2)
call print_summary(psi_energy_with_nucl_rep(1:N_states),pt2,error,variance,norm2,N_det,N_occ_pattern,N_states,psi_s2)
call save_iterations(psi_energy_with_nucl_rep(1:N_states),rpt2,N_det)
call save_energy(psi_energy_with_nucl_rep, pt2_data % pt2)
call print_summary(psi_energy_with_nucl_rep, &
pt2_data , pt2_data_err, N_det, N_occ_pattern, N_states, psi_s2)
call save_iterations(psi_energy_with_nucl_rep(1:N_states),pt2_data % rpt2,N_det)
call print_extrapolated_energy()
endif
call pt2_dealloc(pt2_data)
call pt2_dealloc(pt2_data_err)
end

77
src/cipsi/zmq_selection.irp.f
View File

@ -1,4 +1,4 @@
subroutine ZMQ_selection(N_in, pt2, variance, norm2)
subroutine ZMQ_selection(N_in, pt2_data)
use f77_zmq
use selection_types
@ -7,11 +7,9 @@ subroutine ZMQ_selection(N_in, pt2, variance, norm2)
integer(ZMQ_PTR) :: zmq_to_qp_run_socket , zmq_socket_pull
integer, intent(in) :: N_in
type(selection_buffer) :: b
integer :: i, N
integer :: i, l, N
integer, external :: omp_get_thread_num
double precision, intent(out) :: pt2(N_states)
double precision, intent(out) :: variance(N_states)
double precision, intent(out) :: norm2(N_states)
type(pt2_type), intent(inout) :: pt2_data
! PROVIDE psi_det psi_coef N_det qp_max_mem N_states pt2_F s2_eig N_det_generators
@ -107,6 +105,12 @@ subroutine ZMQ_selection(N_in, pt2, variance, norm2)
f(:) = 1.d0
if (.not.do_pt2) then
<<<<<<< HEAD
double precision :: f(N_states), u_dot_u
do k=1,min(N_det,N_states)
f(k) = 1.d0 / u_dot_u(psi_selectors_coef(1,k), N_det_selectors)
enddo
=======
double precision :: f(N_states), u_dot_u
if (is_complex) then
double precision :: u_dot_u_complex
@ -118,22 +122,19 @@ subroutine ZMQ_selection(N_in, pt2, variance, norm2)
f(k) = 1.d0 / u_dot_u(psi_selectors_coef(1,k), N_det_selectors)
enddo
endif
>>>>>>> origin/cleaning_kpts
endif
!$OMP PARALLEL DEFAULT(shared) SHARED(b, pt2, variance, norm2) PRIVATE(i) NUM_THREADS(nproc_target+1)
!$OMP PARALLEL DEFAULT(shared) SHARED(b, pt2_data) PRIVATE(i) NUM_THREADS(nproc_target+1)
i = omp_get_thread_num()
if (i==0) then
call selection_collector(zmq_socket_pull, b, N, pt2, variance, norm2)
call selection_collector(zmq_socket_pull, b, N, pt2_data)
else
call selection_slave_inproc(i)
endif
!$OMP END PARALLEL
call end_parallel_job(zmq_to_qp_run_socket, zmq_socket_pull, 'selection')
do i=N_det+1,N_states
pt2(i) = 0.d0
variance(i) = 0.d0
norm2(i) = 0.d0
enddo
if (N_in > 0) then
if (s2_eig) then
call make_selection_buffer_s2(b)
@ -141,13 +142,28 @@ subroutine ZMQ_selection(N_in, pt2, variance, norm2)
call fill_H_apply_buffer_no_selection(b%cur,b%det,N_int,0)
endif
call delete_selection_buffer(b)
do k=1,N_states
pt2(k) = pt2(k) * f(k)
variance(k) = variance(k) * f(k)
norm2(k) = norm2(k) * f(k)
pt2_data % pt2(k) = pt2_data % pt2(k) * f(k)
pt2_data % variance(k) = pt2_data % variance(k) * f(k)
do l=1,N_states
pt2_data % overlap(k,l) = pt2_data % overlap(k,l) * dsqrt(f(k)*f(l))
pt2_data % overlap(l,k) = pt2_data % overlap(l,k) * dsqrt(f(k)*f(l))
enddo
call update_pt2_and_variance_weights(pt2, variance, norm2, N_states)
pt2_data % rpt2(k) = &
pt2_data % pt2(k)/(1.d0 + pt2_data % overlap(k,k))
enddo
pt2_overlap(:,:) = pt2_data % overlap(:,:)
print *, 'Overlap of perturbed states:'
do l=1,N_states
print *, pt2_overlap(l,:)
enddo
print *, '-------'
SOFT_TOUCH pt2_overlap
call update_pt2_and_variance_weights(pt2_data, N_states)
end subroutine
@ -159,7 +175,7 @@ subroutine selection_slave_inproc(i)
call run_selection_slave(1,i,pt2_e0_denominator)
end
subroutine selection_collector(zmq_socket_pull, b, N, pt2, variance, norm2)
subroutine selection_collector(zmq_socket_pull, b, N, pt2_data)
use f77_zmq
use selection_types
use bitmasks
@ -169,9 +185,9 @@ subroutine selection_collector(zmq_socket_pull, b, N, pt2, variance, norm2)
integer(ZMQ_PTR), intent(in) :: zmq_socket_pull
type(selection_buffer), intent(inout) :: b
integer, intent(in) :: N
double precision, intent(out) :: pt2(N_states)
double precision, intent(out) :: variance(N_states)
double precision, intent(out) :: norm2(N_states)
type(pt2_type), intent(inout) :: pt2_data
type(pt2_type) :: pt2_data_tmp
double precision :: pt2_mwen(N_states)
double precision :: variance_mwen(N_states)
double precision :: norm2_mwen(N_states)
@ -192,24 +208,24 @@ subroutine selection_collector(zmq_socket_pull, b, N, pt2, variance, norm2)
zmq_to_qp_run_socket = new_zmq_to_qp_run_socket()
call create_selection_buffer(N, N*2, b2)
integer :: k
double precision :: rss
double precision, external :: memory_of_int
rss = memory_of_int(N_det_generators)
call check_mem(rss,irp_here)
allocate(task_id(N_det_generators))
more = 1
pt2(:) = 0d0
variance(:) = 0.d0
norm2(:) = 0.d0
pt2_mwen(:) = 0.d0
variance_mwen(:) = 0.d0
norm2_mwen(:) = 0.d0
pt2_data % pt2(:) = 0d0
pt2_data % variance(:) = 0.d0
pt2_data % overlap(:,:) = 0.d0
if (is_complex) then
pt2_data % overlap_imag(:,:) = 0.d0
endif
call pt2_alloc(pt2_data_tmp,N_states)
do while (more == 1)
call pull_selection_results(zmq_socket_pull, pt2_mwen, variance_mwen, norm2_mwen, b2%val(1), b2%det(1,1,1), b2%cur, task_id, ntask)
call pull_selection_results(zmq_socket_pull, pt2_data_tmp, b2%val(1), b2%det(1,1,1), b2%cur, task_id, ntask)
pt2(:) += pt2_mwen(:)
variance(:) += variance_mwen(:)
norm2(:) += norm2_mwen(:)
call pt2_add(pt2_data, 1.d0, pt2_data_tmp)
do i=1, b2%cur
call add_to_selection_buffer(b, b2%det(1,1,i), b2%val(i))
if (b2%val(i) > b%mini) exit
@ -225,6 +241,7 @@ subroutine selection_collector(zmq_socket_pull, b, N, pt2, variance, norm2)
endif
end do
end do
call pt2_dealloc(pt2_data_tmp)
call delete_selection_buffer(b2)

2
src/determinants/EZFIO.cfg
View File

@ -44,7 +44,7 @@ default: 2
type: integer
doc: Weight used in the selection. 0: input state-average weight, 1: 1./(c_0^2), 2: rPT2 matching, 3: variance matching, 4: variance and rPT2 matching, 5: variance minimization and matching, 6: CI coefficients 7: input state-average multiplied by variance and rPT2 matching 8: input state-average multiplied by rPT2 matching 9: input state-average multiplied by variance matching
interface: ezfio,provider,ocaml
default: 2
default: 1
[threshold_generators]
type: Threshold

27
src/fci/pt2.irp.f
View File

@ -28,35 +28,38 @@ end
subroutine run
implicit none
use selection_types
integer :: i,j,k
logical, external :: detEq
double precision :: pt2(N_states)
type(pt2_type) :: pt2_data, pt2_data_err
integer :: degree
integer :: n_det_before, to_select
double precision :: threshold_davidson_in
double precision :: E_CI_before(N_states), relative_error, error(N_states), variance(N_states), norm2(N_states), rpt2(N_states)
double precision :: relative_error
double precision, allocatable :: E_CI_before(:)
pt2(:) = 0.d0
allocate ( E_CI_before(N_states))
call pt2_alloc(pt2_data, N_states)
call pt2_alloc(pt2_data_err, N_states)
E_CI_before(:) = psi_energy(:) + nuclear_repulsion
relative_error=PT2_relative_error
if (do_pt2) then
call ZMQ_pt2(psi_energy_with_nucl_rep,pt2,relative_error,error, variance, &
norm2,0) ! Stochastic PT2
call ZMQ_pt2(psi_energy_with_nucl_rep, pt2_data, pt2_data_err, relative_error, 0) ! Stochastic PT2
else
call ZMQ_selection(0, pt2, variance, norm2)
call ZMQ_selection(0, pt2_data)
endif
do k=1,N_states
rpt2(k) = pt2(k)/(1.d0 + norm2(k))
enddo
call print_summary(psi_energy_with_nucl_rep(1:N_states), &
pt2_data, pt2_data_err, N_det,N_occ_pattern,N_states,psi_s2)
call print_summary(psi_energy_with_nucl_rep(1:N_states),pt2,error,variance,norm2,N_det,N_occ_pattern,N_states,psi_s2)
call save_energy(E_CI_before,pt2)
call save_energy(E_CI_before, pt2_data % pt2)
call pt2_dealloc(pt2_data)
call pt2_dealloc(pt2_data_err)
deallocate(E_CI_before)
end

1
src/hartree_fock/10.hf.bats
View File

@ -11,6 +11,7 @@ function run() {
qp edit --check
qp reset --mos
qp set scf_utils n_it_scf_max 50
qp set ao_one_e_ints lin_dep_cutoff 1.e-50
qp run scf
# qp set_frozen_core
energy="$(ezfio get hartree_fock energy)"

47
src/iterations/print_summary.irp.f
View File

@ -1,16 +1,17 @@
subroutine print_summary(e_,pt2_,error_,variance_,norm_,n_det_,n_occ_pattern_,n_st,s2_)
subroutine print_summary(e_,pt2_data,pt2_data_err,n_det_,n_occ_pattern_,n_st,s2_)
use selection_types
implicit none
BEGIN_DOC
! Print the extrapolated energy in the output
END_DOC
integer, intent(in) :: n_det_, n_occ_pattern_, n_st
double precision, intent(in) :: e_(n_st), pt2_(n_st), variance_(n_st), norm_(n_st), error_(n_st), s2_(n_st)
double precision, intent(in) :: e_(n_st), s2_(n_st)
type(pt2_type) , intent(in) :: pt2_data, pt2_data_err
integer :: i, k
integer :: N_states_p
character*(9) :: pt2_string
character*(512) :: fmt
double precision :: f(n_st)
if (do_pt2) then
pt2_string = ' '
@ -20,10 +21,6 @@ subroutine print_summary(e_,pt2_,error_,variance_,norm_,n_det_,n_occ_pattern_,n_
N_states_p = min(N_det_,n_st)
do i=1,N_states_p
f(i) = 1.d0/(1.d0+norm_(i))
enddo
print *, ''
print '(A,I12)', 'Summary at N_det = ', N_det_
print '(A)', '-----------------------------------'
@ -42,16 +39,16 @@ subroutine print_summary(e_,pt2_,error_,variance_,norm_,n_det_,n_occ_pattern_,n_
write(*,fmt) '# Excit. (eV)', (e_(1:N_states_p)-e_(1))*27.211396641308d0
endif
write(fmt,*) '(A13,', 2*N_states_p, '(1X,F14.8))'
write(*,fmt) '# PT2 '//pt2_string, (pt2_(k), error_(k), k=1,N_states_p)
write(*,fmt) '# rPT2'//pt2_string, (pt2_(k)*f(k), error_(k)*f(k), k=1,N_states_p)
write(*,fmt) '# PT2 '//pt2_string, (pt2_data % pt2(k), pt2_data_err % pt2(k), k=1,N_states_p)
write(*,fmt) '# rPT2'//pt2_string, (pt2_data % rpt2(k), pt2_data_err % rpt2(k), k=1,N_states_p)
write(*,'(A)') '#'
write(*,fmt) '# E+PT2 ', (e_(k)+pt2_(k),error_(k), k=1,N_states_p)
write(*,fmt) '# E+rPT2 ', (e_(k)+pt2_(k)*f(k),error_(k)*f(k), k=1,N_states_p)
write(*,fmt) '# E+PT2 ', (e_(k)+pt2_data % pt2(k),pt2_data_err % pt2(k), k=1,N_states_p)
write(*,fmt) '# E+rPT2 ', (e_(k)+pt2_data % rpt2(k),pt2_data_err % rpt2(k), k=1,N_states_p)
if (N_states_p > 1) then
write(*,fmt) '# Excit. (au)', ( (e_(k)+pt2_(k)-e_(1)-pt2_(1)), &
dsqrt(error_(k)*error_(k)+error_(1)*error_(1)), k=1,N_states_p)
write(*,fmt) '# Excit. (eV)', ( (e_(k)+pt2_(k)-e_(1)-pt2_(1))*27.211396641308d0, &
dsqrt(error_(k)*error_(k)+error_(1)*error_(1))*27.211396641308d0, k=1,N_states_p)
write(*,fmt) '# Excit. (au)', ( (e_(k)+pt2_data % pt2(k)-e_(1)-pt2_data % pt2(1)), &
dsqrt(pt2_data_err % pt2(k)*pt2_data_err % pt2(k)+pt2_data_err % pt2(1)*pt2_data_err % pt2(1)), k=1,N_states_p)
write(*,fmt) '# Excit. (eV)', ( (e_(k)+pt2_data % pt2(k)-e_(1)-pt2_data % pt2(1))*27.211396641308d0, &
dsqrt(pt2_data_err % pt2(k)*pt2_data_err % pt2(k)+pt2_data_err % pt2(1)*pt2_data_err % pt2(1))*27.211396641308d0, k=1,N_states_p)
endif
write(fmt,*) '(''# ============'',', N_states_p, '(1X,''=============================''))'
write(*,fmt)
@ -68,12 +65,12 @@ subroutine print_summary(e_,pt2_,error_,variance_,norm_,n_det_,n_occ_pattern_,n_
print*,'* State ',k
print *, '< S^2 > = ', s2_(k)
print *, 'E = ', e_(k)
print *, 'Variance = ', variance_(k)
print *, 'PT norm = ', dsqrt(norm_(k))
print *, 'PT2 = ', pt2_(k)
print *, 'rPT2 = ', pt2_(k)*f(k)
print *, 'E+PT2 '//pt2_string//' = ', e_(k)+pt2_(k), ' +/- ', error_(k)
print *, 'E+rPT2'//pt2_string//' = ', e_(k)+pt2_(k)*f(k), ' +/- ', error_(k)*f(k)
print *, 'Variance = ', pt2_data % variance(k), ' +/- ', pt2_data_err % variance(k)
print *, 'PT norm = ', dsqrt(pt2_data % overlap(k,k)), ' +/- ', 0.5d0*dsqrt(pt2_data % overlap(k,k)) * pt2_data_err % overlap(k,k) / (pt2_data % overlap(k,k))
print *, 'PT2 = ', pt2_data % pt2(k), ' +/- ', pt2_data_err % pt2(k)
print *, 'rPT2 = ', pt2_data % rpt2(k), ' +/- ', pt2_data_err % rpt2(k)
print *, 'E+PT2 '//pt2_string//' = ', e_(k)+pt2_data % pt2(k), ' +/- ', pt2_data_err % pt2(k)
print *, 'E+rPT2'//pt2_string//' = ', e_(k)+pt2_data % rpt2(k), ' +/- ', pt2_data_err % rpt2(k)
print *, ''
enddo
@ -87,14 +84,14 @@ subroutine print_summary(e_,pt2_,error_,variance_,norm_,n_det_,n_occ_pattern_,n_
print *, '-----'
print*, 'Variational + perturbative Energy difference (au | eV)'
do i=2, N_states_p
print*,'Delta E = ', (e_(i)+ pt2_(i) - (e_(1) + pt2_(1))), &
(e_(i)+ pt2_(i) - (e_(1) + pt2_(1))) * 27.211396641308d0
print*,'Delta E = ', (e_(i)+ pt2_data % pt2(i) - (e_(1) + pt2_data % pt2(1))), &
(e_(i)+ pt2_data % pt2(i) - (e_(1) + pt2_data % pt2(1))) * 27.211396641308d0
enddo
print *, '-----'
print*, 'Variational + renormalized perturbative Energy difference (au | eV)'
do i=2, N_states_p
print*,'Delta E = ', (e_(i)+ pt2_(i)*f(i) - (e_(1) + pt2_(1)*f(1))), &
(e_(i)+ pt2_(i)*f(i) - (e_(1) + pt2_(1)*f(1))) * 27.211396641308d0
print*,'Delta E = ', (e_(i)+ pt2_data % rpt2(i) - (e_(1) + pt2_data % rpt2(1))), &
(e_(i)+ pt2_data % rpt2(i) - (e_(1) + pt2_data % rpt2(1))) * 27.211396641308d0
enddo
endif

16
src/scf_utils/roothaan_hall_scf.irp.f
View File

@ -186,10 +186,10 @@ END_DOC
implicit none
double precision,intent(in) :: Fock_matrix_DIIS(ao_num,ao_num,*),error_matrix_DIIS(ao_num,ao_num,*)
integer,intent(inout) :: dim_DIIS
double precision,intent(in) :: Fock_matrix_DIIS(ao_num,ao_num,dim_DIIS),error_matrix_DIIS(ao_num,ao_num,dim_DIIS)
integer,intent(in) :: iteration_SCF, size_Fock_matrix_AO
double precision,intent(inout):: Fock_matrix_AO_(size_Fock_matrix_AO,ao_num)
integer,intent(inout) :: dim_DIIS
double precision,allocatable :: B_matrix_DIIS(:,:),X_vector_DIIS(:)
double precision,allocatable :: C_vector_DIIS(:)
@ -212,11 +212,12 @@ END_DOC
)
! Compute the matrices B and X
B_matrix_DIIS(:,:) = 0.d0
do j=1,dim_DIIS
j_DIIS = min(dim_DIIS,mod(iteration_SCF-j,max_dim_DIIS)+1)
do i=1,dim_DIIS
j_DIIS = mod(iteration_SCF-j,max_dim_DIIS)+1
i_DIIS = mod(iteration_SCF-i,max_dim_DIIS)+1
i_DIIS = min(dim_DIIS,mod(iteration_SCF-i,max_dim_DIIS)+1)
! Compute product of two errors vectors
@ -229,7 +230,6 @@ END_DOC
! Compute Trace
B_matrix_DIIS(i,j) = 0.d0
do k=1,ao_num
B_matrix_DIIS(i,j) = B_matrix_DIIS(i,j) + scratch(k,k)
enddo
@ -238,12 +238,11 @@ END_DOC
! Pad B matrix and build the X matrix
C_vector_DIIS(:) = 0.d0
do i=1,dim_DIIS
B_matrix_DIIS(i,dim_DIIS+1) = -1.d0
B_matrix_DIIS(dim_DIIS+1,i) = -1.d0
C_vector_DIIS(i) = 0.d0
enddo
B_matrix_DIIS(dim_DIIS+1,dim_DIIS+1) = 0.d0
C_vector_DIIS(dim_DIIS+1) = -1.d0
deallocate(scratch)
@ -259,9 +258,10 @@ END_DOC
allocate(AF(dim_DIIS+1,dim_DIIS+1))
allocate(ipiv(2*(dim_DIIS+1)), iwork(2*(dim_DIIS+1)) )
allocate(scratch(lwork,1))
scratch(:,1) = 0.d0
anorm = dlange('1', dim_DIIS+1, dim_DIIS+1, B_matrix_DIIS, &
size(B_matrix_DIIS,1), scratch)
size(B_matrix_DIIS,1), scratch(1,1))
AF(:,:) = B_matrix_DIIS(:,:)
call dgetrf(dim_DIIS+1,dim_DIIS+1,AF,size(AF,1),ipiv,info)

2
src/tools/molden.irp.f
View File

@ -17,7 +17,7 @@ program molden
write(i_unit_output,'(A)') '[Molden Format]'
write(i_unit_output,'(A)') '[Atoms] ANGSTROM'
write(i_unit_output,'(A)') '[Atoms] Angs'
do i = 1, nucl_num
write(i_unit_output,'(A2,2X,I4,2X,I4,3(2X,F15.10))') &
trim(element_name(int(nucl_charge(i)))), &

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

@ -585,6 +585,7 @@ subroutine end_parallel_job(zmq_to_qp_run_socket,zmq_socket_pull,name_in)
stop 'Wrong end of job'
endif
message = repeat(' ',512)
do i=360,1,-1
rc = f77_zmq_send(zmq_to_qp_run_socket, 'end_job '//trim(zmq_state),8+len(trim(zmq_state)),0)
rc = f77_zmq_recv(zmq_to_qp_run_socket, message, 512, 0)
@ -645,6 +646,7 @@ integer function connect_to_taskserver(zmq_to_qp_run_socket,worker_id,thread)
endif
endif
message = repeat(' ',512)
rc = f77_zmq_recv(zmq_to_qp_run_socket, message, 510, 0)
message = trim(message(1:rc))
if(message(1:5) == "error") then