mirror of
https://gitlab.com/scemama/qmcchem.git
synced 2024-08-29 22:33:41 +02:00
Merge gitlab.com:abdammar/qmcchem into abdallah
This commit is contained in:
commit
4c69f202e5
@ -8,10 +8,13 @@ import os
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import time
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import subprocess
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from math import sqrt
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#
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#from bayes_opt import BayesianOptimization
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QMCCHEM_PATH=os.environ["QMCCHEM_PATH"]
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# this should give: /home/ammar/qmcchem
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sys.path.insert(0,QMCCHEM_PATH+"/EZFIO/Python/")
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# this should add: /home/ammar/qmcchem/EZFIO/Python/
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from ezfio import ezfio
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@ -22,7 +25,7 @@ block_time = 20
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def main():
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if len(sys.argv) != 2:
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print("Usage: %s <EZFIO_DIRECTORY>"%sys.argv[0])
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sys.exti(1)
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sys.exit(1)
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filename = sys.argv[1]
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ezfio.set_file(filename)
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@ -47,7 +50,7 @@ def main():
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def get_params_pen():
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d = ezfio.jastrow_jast_pen
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return np.array([d[m[0]] for m in atom_map])
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return np.array( [d[m[0]] for m in atom_map])
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def get_energy():
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@ -60,6 +63,21 @@ def main():
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else:
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return None, None
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#####################################################################################################
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def get_energy_deriv_nucPar():
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# !!!
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buffer = subprocess.check_output(['qmcchem', 'result', filename], encoding='UTF-8')
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# !!!
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if buffer.strip()!= "":
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e_der1 = [ buffer.splitlines()[13].split()[2], buffer.splitlines()[14].split()[2], buffer.splitlines()[15].split()[2] ]
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err_der1 = [ buffer.splitlines()[13].split()[4], buffer.splitlines()[14].split()[4], buffer.splitlines()[15].split()[4] ]
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e_der2 = [ buffer.splitlines()[2].split()[2], buffer.splitlines()[3].split()[2], buffer.splitlines()[4].split()[2] ]
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err_der2 = [ buffer.splitlines()[2].split()[4], buffer.splitlines()[3].split()[4], buffer.splitlines()[4].split()[4] ]
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return e_der1, e_der2
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else:
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return None
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#####################################################################################################
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def get_variance():
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buffer = subprocess.check_output(['qmcchem', 'result', '-e',
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'e_loc_qmcvar', filename],
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@ -99,28 +117,53 @@ def main():
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# '-w', '10',
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# filename])
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subprocess.check_output(['qmcchem', 'edit', '-c', '-j', 'Simple',
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'-l', str(block_time),
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filename])
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'-l', str(block_time), filename])
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# !!!
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# !!!
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#####################################################################################################
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# Only for CG, BFGS, Newton-CG, L-BFGS-B, TNC, SLSQP, dogleg, trust-ncg, trust-krylov, trust-exact and trust-constr.
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# !!!
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def fprime(x):
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# !!!
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print ("derivative on: x = %s"%str(x))
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# !!!
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e_der1, e_der2 = get_energy_deriv_nucPar()
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e, _ = get_energy()
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energy_deriv_0 = 2. * ( float(e_der1[0]) - e * float(e_der2[0]) )
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energy_deriv_1 = 2. * ( float(e_der1[1]) - e * float(e_der2[1]) )
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energy_deriv = np.array([ energy_deriv_0 , energy_deriv_1 ])
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# !!!
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print(energy_deriv)
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# !!!
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return energy_deriv
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# !!!
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#####################################################################################################
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# !!!
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memo_energy = {'fmin': 100000000.}
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def f(x):
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print ("x = %s"%str(x))
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# !!!
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h = str(x)
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if h in memo_energy:
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return memo_energy[h]
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# !!!
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set_params_pen(x)
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set_vmc_params()
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# !!!
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pid = os.fork()
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if pid == 0:
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# In child process
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run_qmc()
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# Exit with status os.EX_OK using os._exit() method. The value of os.EX_OK is 0
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os._exit(os.EX_OK)
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else:
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# In parent process
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import atexit
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atexit.register(stop_qmc)
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err = thresh+1.
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# !!!
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time.sleep(3.*block_time/4.)
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# !!!
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err = thresh+1.
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local_thresh = thresh
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while err > local_thresh:
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time.sleep(block_time)
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@ -128,14 +171,20 @@ def main():
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variance, v_err = get_variance()
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if e is None or variance is None:
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continue
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energy = e + variance
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err = sqrt(e_err*e_err+v_err*v_err)
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print(" %f %f %f %f %f %f"%(e, e_err, variance, v_err, energy, err))
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# !!!
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#energy = e + variance
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#err = sqrt(e_err*e_err+v_err*v_err)
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energy = e
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err = e_err
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# !!!
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#print(" %f %f %f %f %f %f"%(e, e_err, variance, v_err, energy, err))
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# !!!
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print(" %f %f"%(energy, err))
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if (energy-2.*err) > memo_energy['fmin']+thresh:
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local_thresh = 10.*thresh
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elif (energy+2.*err) < memo_energy['fmin']-thresh:
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local_thresh = 10.*thresh
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# !!!
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# Check if PID is still running
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try:
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os.kill(pid,0)
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@ -144,22 +193,34 @@ def main():
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break
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stop_qmc()
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os.wait()
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memo_energy[h] = energy + err
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# !!!
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#memo_energy[h] = energy + err
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memo_energy[h] = energy
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# !!!
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memo_energy['fmin'] = min(energy, memo_energy['fmin'])
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return energy
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# !!!
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def run():
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x = get_params_pen()
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# !!!
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if sum(x) == 0.:
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jast_a_up_dn = ezfio.jastrow_jast_a_up_dn
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x += jast_a_up_dn
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opt = sp.optimize.minimize(f,x,method="Powell",
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options= {'disp':True, 'ftol':thresh,'xtol':0.02})
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# !!!
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opt = sp.optimize.minimize(f,x,method="Powell", options= {'disp':True, 'ftol':thresh,'xtol':0.02})
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# !!!
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bnds = ((0.001, 100), (0.001, 100))
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#opt = sp.optimize.minimize(f, x, method='CG', jac=fprime, options={'gtol': thresh, 'disp': True})
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#opt = sp.optimize.minimize(f, x, method='TNC', jac=fprime, options={'gtol': thresh, 'disp': True}, bounds=bnds)
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#opt = sp.optimize.minimize(f, x, method='Newton-CG', jac=fprime)
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#opt = sp.optimize.minimize(f, x, method='trust-constr', jac=fprime)
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print("x = "+str(opt))
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set_params_pen(opt['x'])
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# !!!
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# !!!
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run()
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# !!!
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# !!!
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if __name__ == '__main__':
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main()
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@ -43,7 +43,20 @@ spindeterminants
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psi_coef_matrix_rows integer (spindeterminants_n_det)
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psi_coef_matrix_columns integer (spindeterminants_n_det)
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psi_coef_matrix_values double precision (spindeterminants_n_det,spindeterminants_n_states)
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n_svd_coefs_unique integer
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n_svd_coefs integer
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n_svd_selected integer
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n_svd_toselect integer
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psi_svd_alpha_unique double precision (spindeterminants_n_det_alpha,spindeterminants_n_svd_coefs_unique,spindeterminants_n_states)
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psi_svd_beta_unique double precision (spindeterminants_n_det_beta,spindeterminants_n_svd_coefs_unique,spindeterminants_n_states)
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psi_svd_coefs_unique double precision (spindeterminants_n_svd_coefs_unique,spindeterminants_n_states)
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psi_svd_alpha double precision (spindeterminants_n_det_alpha,spindeterminants_n_svd_coefs,spindeterminants_n_states)
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psi_svd_beta double precision (spindeterminants_n_det_beta,spindeterminants_n_svd_coefs,spindeterminants_n_states)
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psi_svd_coefs double precision (spindeterminants_n_svd_coefs,spindeterminants_n_states)
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psi_svd_alpha_numselected integer (spindeterminants_n_svd_selected,spindeterminants_n_states)
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psi_svd_beta_numselected integer (spindeterminants_n_svd_selected,spindeterminants_n_states)
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psi_svd_alpha_numtoselect integer (spindeterminants_n_svd_toselect,spindeterminants_n_states)
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psi_svd_beta_numtoselect integer (spindeterminants_n_svd_toselect,spindeterminants_n_states)
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simulation
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do_run integer
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@ -4,7 +4,7 @@
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BEGIN_PROVIDER [ double precision , jast_elec_Simple_value, (elec_num_8) ]
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implicit none
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BEGIN_DOC
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! J(i) = \sum_j a.rij/(1+b^2.rij) - \sum_A (a.riA/(1+a.riA))^2
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! J(i) = \sum_j a.rij/(1+b.rij) - \sum_A (a.riA/(1+a.riA))^2
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END_DOC
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integer :: i,j
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double precision :: a, b, rij, tmp
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@ -20,10 +20,11 @@ implicit none
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enddo
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enddo
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a = 0.5*jast_a_up_up
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a = 0.5d0*jast_a_up_up
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b = jast_b_up_up
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do j=1,elec_alpha_num
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! parallele spin up-up
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do j=1,elec_alpha_num-1
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!DIR$ LOOP COUNT (50)
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do i=j+1,elec_alpha_num
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rij = elec_dist(i,j)
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@ -33,7 +34,8 @@ implicit none
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enddo
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enddo
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do j=elec_alpha_num+1,elec_num
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! parallele spin dn-dn
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do j=elec_alpha_num+1,elec_num-1
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!DIR$ LOOP COUNT (50)
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do i=j+1,elec_num
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rij = elec_dist(i,j)
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@ -43,9 +45,11 @@ implicit none
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enddo
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enddo
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a = 0.5*jast_a_up_dn
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a = 0.5d0*jast_a_up_dn
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b = jast_b_up_dn
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! anti-parallele spin
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do j=1,elec_alpha_num
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!DIR$ LOOP COUNT (50)
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do i=elec_alpha_num+1,elec_num
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@ -190,5 +194,31 @@ BEGIN_PROVIDER [ double precision , jast_elec_Simple_lapl, (elec_num_8) ]
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enddo
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enddo
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END_PROVIDER
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BEGIN_PROVIDER[ double precision, jast_elec_Simple_deriv_nucPar, (nucl_num) ]
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implicit none
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BEGIN_DOC
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! Variation of the Jastrow factor with respect to nuclear parameters
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END_DOC
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integer :: i, j
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double precision :: a, rij, tmp1, tmp2
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do j = 1, nucl_num
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a = jast_pen(j)
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tmp2 = 0.d0
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!DIR$ LOOP COUNT (100)
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do i = 1, elec_num
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rij = nucl_elec_dist(j,i)
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tmp1 = (1.d0+a*rij)*(1.d0+a*rij)*(1.d0+a*rij)
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tmp2 += rij*rij/tmp1
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end do
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jast_elec_Simple_deriv_nucPar(j) = -2.d0 * a * tmp2
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end do
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END_PROVIDER
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@ -13,6 +13,9 @@ program qmcchem_info
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endif
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print *, 'Number of determinants : ', det_num
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print *, 'Number of unique alpha/beta determinants : ', det_alpha_num, det_beta_num
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if (utilise_svd) then
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print *, 'SVD rank : ', n_svd_coefs
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endif
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print *, 'Closed-shell MOs : ', mo_closed_num
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print *, 'Number of MOs in determinants : ', num_present_mos
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! print *, 'Det alpha norm:'
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51
src/MAIN/test_debug.irp.f
Normal file
51
src/MAIN/test_debug.irp.f
Normal file
@ -0,0 +1,51 @@
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program qmcchem_info
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implicit none
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PROVIDE ezfio_filename
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double precision :: cpu0, cpu1
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character*(8) :: str_n
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integer :: iargc
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integer :: imax
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if (command_argument_count() > 1) then
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call get_command_argument(2,str_n)
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read(str_n,*) imax
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else
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imax = 100
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endif
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print *, 'Number of determinants : ', det_num
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print *, 'Number of unique alpha/beta determinants : ', det_alpha_num, det_beta_num
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print *, 'Closed-shell MOs : ', mo_closed_num
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print *, 'Number of MOs in determinants : ', num_present_mos
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! print *, 'Det alpha norm:'
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! print *, det_alpha_norm
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! print *, 'Det beta norm:'
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! print *, det_beta_norm
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call step1
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call cpu_time (cpu0)
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call step2(imax)
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call cpu_time (cpu1)
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print *, 'Time for the calculation of E_loc (ms) : ', 1000.*(cpu1-cpu0)/float(imax)
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end
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|
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subroutine step1
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implicit none
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print *, 'E_loc : ', E_loc
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print *, 'E_loc_svd : ', E_loc_svd
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integer :: i
|
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do i=1,elec_num
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print *, 'x', psi_grad_psi_inv_x(i), psi_grad_psi_inv_x_SVD(i)
|
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print *, 'y', psi_grad_psi_inv_y(i), psi_grad_psi_inv_y_SVD(i)
|
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print *, 'z', psi_grad_psi_inv_z(i), psi_grad_psi_inv_z_SVD(i)
|
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print *, 'l', psi_lapl_psi_inv(i), psi_lapl_psi_inv_SVD(i)
|
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print *, ''
|
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enddo
|
||||
end
|
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|
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subroutine step2(imax)
|
||||
implicit none
|
||||
integer, intent(in) :: imax
|
||||
integer :: i
|
||||
do i=1,imax
|
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PROVIDE E_loc
|
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TOUCH elec_coord
|
||||
enddo
|
||||
end
|
312
src/PROPERTIES/properties_buildpsi.irp.f
Normal file
312
src/PROPERTIES/properties_buildpsi.irp.f
Normal file
@ -0,0 +1,312 @@
|
||||
|
||||
BEGIN_PROVIDER [ double precision, hij_fm, (size_hij_fm) ]
|
||||
|
||||
implicit none
|
||||
|
||||
BEGIN_DOC
|
||||
! !!!
|
||||
! hij = < psi_svd J | H | J l l' > / < psi_svd J | psi_svd J >
|
||||
! = < H (J l l')/(psi_svd J) > ( first method: fm )
|
||||
! = < E_loc (l l') / psi_svd > ( secnd method: sm )
|
||||
! Dimensions : n_svd_toselect
|
||||
END_DOC
|
||||
|
||||
integer :: i, l, lp, e
|
||||
double precision :: f, g, h, T, V
|
||||
|
||||
do i = 1, n_svd_toselect
|
||||
|
||||
l = psi_svd_alpha_numtoselect(i,1)
|
||||
lp = psi_svd_beta_numtoselect (i,1)
|
||||
|
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! Lapl D
|
||||
g = 0.d0
|
||||
do e = 1, elec_alpha_num
|
||||
g += det_alpha_grad_lapl_SVD_unique(4,e,l) * det_beta_value_SVD_unique(lp)
|
||||
enddo
|
||||
do e = elec_alpha_num+1, elec_num
|
||||
g += det_alpha_value_SVD_unique(l) * det_beta_grad_lapl_SVD_unique(4,e,lp)
|
||||
enddo
|
||||
T = g
|
||||
|
||||
! D (Lapl J)/J
|
||||
g = 0.d0
|
||||
do e = 1, elec_num
|
||||
g += jast_lapl_jast_inv(e)
|
||||
enddo
|
||||
T += det_alpha_value_SVD_unique(l) * det_beta_value_SVD_unique(lp) * g
|
||||
|
||||
! 2 (grad D).(Grad J)/J
|
||||
g = 0.d0
|
||||
do e = 1, elec_alpha_num
|
||||
g += det_alpha_grad_lapl_SVD_unique(1,e,l) * jast_grad_jast_inv_x(e) + &
|
||||
det_alpha_grad_lapl_SVD_unique(2,e,l) * jast_grad_jast_inv_y(e) + &
|
||||
det_alpha_grad_lapl_SVD_unique(3,e,l) * jast_grad_jast_inv_z(e)
|
||||
enddo
|
||||
h = 0.d0
|
||||
do e = elec_alpha_num+1, elec_num
|
||||
h += det_beta_grad_lapl_SVD_unique(1,e,lp) * jast_grad_jast_inv_x(e) + &
|
||||
det_beta_grad_lapl_SVD_unique(2,e,lp) * jast_grad_jast_inv_y(e) + &
|
||||
det_beta_grad_lapl_SVD_unique(3,e,lp) * jast_grad_jast_inv_z(e)
|
||||
enddo
|
||||
T += 2.d0 * ( g * det_beta_value_SVD_unique(lp) + h * det_alpha_value_SVD_unique(l) )
|
||||
|
||||
g = det_alpha_value_SVD_unique(l) * det_beta_value_SVD_unique(lp)
|
||||
V = E_pot * g
|
||||
! TODO
|
||||
!do e = 1, elec_alpha_num
|
||||
! V -= pseudo_non_local_SVD(e) * g
|
||||
! V += det_alpha_pseudo_SVD_unique(e,l) * det_beta_value_SVD_unique(lp)
|
||||
!enddo
|
||||
!do e = elec_alpha_num+1, elec_num
|
||||
! V -= pseudo_non_local_SVD(e) * g
|
||||
! V += det_alpha_value_SVD_unique(l) * det_beta_pseudo_SVD_unique(e,lp)
|
||||
!enddo
|
||||
f = -0.5d0*T + V
|
||||
f *= psidet_inv_SVD
|
||||
|
||||
hij_fm(i) = f
|
||||
|
||||
enddo
|
||||
|
||||
hij_fm_min = min( hij_fm_min, minval(hij_fm) )
|
||||
hij_fm_max = max( hij_fm_max, maxval(hij_fm) )
|
||||
|
||||
SOFT_TOUCH hij_fm_min hij_fm_max
|
||||
|
||||
END_PROVIDER
|
||||
|
||||
|
||||
|
||||
BEGIN_PROVIDER [ double precision, hij_sm, (size_hij_sm) ]
|
||||
|
||||
implicit none
|
||||
|
||||
BEGIN_DOC
|
||||
! !!!
|
||||
! hij = < psi_svd J | H | J l l' > / < psi_svd J | psi_svd J >
|
||||
! = < H (J l l')/(psi_svd J) > ( first method: fm)
|
||||
! = < E_loc (l l') / psi_svd > ( secnd method: sm)
|
||||
! Dimensions : n_svd_toselect
|
||||
END_DOC
|
||||
|
||||
integer :: i, l, lp
|
||||
|
||||
do i = 1, n_svd_toselect
|
||||
|
||||
l = psi_svd_alpha_numtoselect(i,1)
|
||||
lp = psi_svd_beta_numtoselect (i,1)
|
||||
|
||||
hij_sm(i) = E_loc * det_alpha_value_SVD_unique(l) * det_beta_value_SVD_unique(lp) * psidet_inv_SVD
|
||||
|
||||
enddo
|
||||
|
||||
hij_sm_min = min( hij_sm_min, minval(hij_sm) )
|
||||
hij_sm_max = max( hij_sm_max, maxval(hij_sm) )
|
||||
|
||||
SOFT_TOUCH hij_sm_min hij_sm_max
|
||||
|
||||
END_PROVIDER
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
BEGIN_PROVIDER [ double precision, xij_diag, (size_xij_diag) ]
|
||||
|
||||
implicit none
|
||||
|
||||
BEGIN_DOC
|
||||
! !!!
|
||||
! < l l' | H | l l' >
|
||||
! Dimensions : n_svd_toselect
|
||||
END_DOC
|
||||
|
||||
integer :: i, l, lp, e
|
||||
double precision :: f, g, h, T, V
|
||||
|
||||
do i = 1, n_svd_toselect
|
||||
|
||||
l = psi_svd_alpha_numtoselect(i,1)
|
||||
lp = psi_svd_beta_numtoselect (i,1)
|
||||
|
||||
! Lapl D
|
||||
g = 0.d0
|
||||
do e = 1, elec_alpha_num
|
||||
g += det_alpha_grad_lapl_SVD_unique(4,e,l) * det_beta_value_SVD_unique(lp)
|
||||
enddo
|
||||
do e = elec_alpha_num+1, elec_num
|
||||
g += det_alpha_value_SVD_unique(l) * det_beta_grad_lapl_SVD_unique(4,e,lp)
|
||||
enddo
|
||||
T = g
|
||||
|
||||
! D (Lapl J)/J
|
||||
g = 0.d0
|
||||
do e = 1, elec_num
|
||||
g += jast_lapl_jast_inv(e)
|
||||
enddo
|
||||
T += det_alpha_value_SVD_unique(l) * det_beta_value_SVD_unique(lp) * g
|
||||
|
||||
! 2 (grad D).(Grad J)/J
|
||||
g = 0.d0
|
||||
do e = 1, elec_alpha_num
|
||||
g += det_alpha_grad_lapl_SVD_unique(1,e,l) * jast_grad_jast_inv_x(e) + &
|
||||
det_alpha_grad_lapl_SVD_unique(2,e,l) * jast_grad_jast_inv_y(e) + &
|
||||
det_alpha_grad_lapl_SVD_unique(3,e,l) * jast_grad_jast_inv_z(e)
|
||||
enddo
|
||||
h = 0.d0
|
||||
do e = elec_alpha_num+1, elec_num
|
||||
h += det_beta_grad_lapl_SVD_unique(1,e,lp) * jast_grad_jast_inv_x(e) + &
|
||||
det_beta_grad_lapl_SVD_unique(2,e,lp) * jast_grad_jast_inv_y(e) + &
|
||||
det_beta_grad_lapl_SVD_unique(3,e,lp) * jast_grad_jast_inv_z(e)
|
||||
enddo
|
||||
T += 2.d0 * ( g * det_beta_value_SVD_unique(lp) + h * det_alpha_value_SVD_unique(l) )
|
||||
|
||||
g = det_alpha_value_SVD_unique(l) * det_beta_value_SVD_unique(lp)
|
||||
V = E_pot * g
|
||||
! TODO
|
||||
!do e = 1, elec_alpha_num
|
||||
! V -= pseudo_non_local_SVD(e) * g
|
||||
! V += det_alpha_pseudo_SVD_unique(e,l) * det_beta_value_SVD_unique(lp)
|
||||
!enddo
|
||||
!do e = elec_alpha_num+1, elec_num
|
||||
! V -= pseudo_non_local_SVD(e) * g
|
||||
! V += det_alpha_value_SVD_unique(l) * det_beta_pseudo_SVD_unique(e,lp)
|
||||
!enddo
|
||||
f = -0.5d0*T + V
|
||||
f *= psidet_inv_SVD * psidet_inv_SVD
|
||||
|
||||
xij_diag(i) = f * det_alpha_value_SVD_unique(l) * det_beta_value_SVD_unique(lp)
|
||||
|
||||
enddo
|
||||
|
||||
xij_diag_min = min( xij_diag_min, minval(xij_diag) )
|
||||
xij_diag_max = max( xij_diag_max, maxval(xij_diag) )
|
||||
|
||||
SOFT_TOUCH xij_diag_min xij_diag_max
|
||||
|
||||
END_PROVIDER
|
||||
|
||||
|
||||
|
||||
|
||||
BEGIN_PROVIDER [ double precision, overlop_selected_matrix, (size_overlop_selected_matrix) ]
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! !!!
|
||||
! < k_selected k'_selected | l_selected l'_selected >
|
||||
! Dimensions : n_svd_selected * n_svd_selected
|
||||
END_DOC
|
||||
|
||||
integer :: k, kp, l, lp
|
||||
integer :: i, j, ii0, ii
|
||||
double precision :: f
|
||||
|
||||
do i = 1, n_svd_selected
|
||||
ii0 = (i-1)*n_svd_selected
|
||||
|
||||
l = psi_svd_alpha_numselected(i,1)
|
||||
lp = psi_svd_beta_numselected (i,1)
|
||||
|
||||
f = det_alpha_value_SVD_unique(l) * det_beta_value_SVD_unique(lp) * psidet_inv_SVD * psidet_inv_SVD
|
||||
|
||||
do j = 1, n_svd_selected
|
||||
ii = ii0 + j
|
||||
|
||||
k = psi_svd_alpha_numselected(j,1)
|
||||
kp = psi_svd_beta_numselected (j,1)
|
||||
|
||||
overlop_selected_matrix(ii) = det_alpha_value_SVD_unique(k) * det_beta_value_SVD_unique(kp) * f
|
||||
|
||||
enddo
|
||||
enddo
|
||||
|
||||
overlop_selected_matrix_min = min(overlop_selected_matrix_min,minval(overlop_selected_matrix))
|
||||
overlop_selected_matrix_max = max(overlop_selected_matrix_max,maxval(overlop_selected_matrix))
|
||||
SOFT_TOUCH overlop_selected_matrix_min overlop_selected_matrix_max
|
||||
END_PROVIDER
|
||||
|
||||
|
||||
|
||||
BEGIN_PROVIDER [ double precision, h_selected_matrix, (size_h_selected_matrix) ]
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! !!!
|
||||
! < k_selected k'_selected | H | l_selected l'_selected >
|
||||
! Dimensions : n_svd_selected * n_svd_selected
|
||||
END_DOC
|
||||
|
||||
integer :: k, kp, l, lp
|
||||
integer :: i, j, ii0, ii
|
||||
integer :: e
|
||||
double precision :: f, g, h, T, V
|
||||
|
||||
do i = 1, n_svd_selected
|
||||
ii0 = (i-1)*n_svd_selected
|
||||
|
||||
l = psi_svd_alpha_numselected(i,1)
|
||||
lp = psi_svd_beta_numselected (i,1)
|
||||
|
||||
! Lapl D
|
||||
g = 0.d0
|
||||
do e = 1, elec_alpha_num
|
||||
g += det_alpha_grad_lapl_SVD_unique(4,e,l) * det_beta_value_SVD_unique(lp)
|
||||
enddo
|
||||
do e = elec_alpha_num+1, elec_num
|
||||
g += det_alpha_value_SVD_unique(l) * det_beta_grad_lapl_SVD_unique(4,e,lp)
|
||||
enddo
|
||||
T = g
|
||||
|
||||
! D (Lapl J)/J
|
||||
g = 0.d0
|
||||
do e = 1, elec_num
|
||||
g += jast_lapl_jast_inv(e)
|
||||
enddo
|
||||
T += det_alpha_value_SVD_unique(l) * det_beta_value_SVD_unique(lp) * g
|
||||
|
||||
! 2 (grad D).(Grad J)/J
|
||||
g = 0.d0
|
||||
do e = 1, elec_alpha_num
|
||||
g += det_alpha_grad_lapl_SVD_unique(1,e,l) * jast_grad_jast_inv_x(e) + &
|
||||
det_alpha_grad_lapl_SVD_unique(2,e,l) * jast_grad_jast_inv_y(e) + &
|
||||
det_alpha_grad_lapl_SVD_unique(3,e,l) * jast_grad_jast_inv_z(e)
|
||||
enddo
|
||||
h = 0.d0
|
||||
do e = elec_alpha_num+1, elec_num
|
||||
h += det_beta_grad_lapl_SVD_unique(1,e,lp) * jast_grad_jast_inv_x(e) + &
|
||||
det_beta_grad_lapl_SVD_unique(2,e,lp) * jast_grad_jast_inv_y(e) + &
|
||||
det_beta_grad_lapl_SVD_unique(3,e,lp) * jast_grad_jast_inv_z(e)
|
||||
enddo
|
||||
T += 2.d0 * ( g * det_beta_value_SVD_unique(lp) + h * det_alpha_value_SVD_unique(l) )
|
||||
|
||||
g = det_alpha_value_SVD_unique(l) * det_beta_value_SVD_unique(lp)
|
||||
V = E_pot * g
|
||||
! TODO
|
||||
! ajouter le terme pseudo
|
||||
!do e = 1, elec_alpha_num
|
||||
! V -= pseudo_non_local_SVD(e) * g
|
||||
! V += det_alpha_pseudo_SVD_unique(e,l) * det_beta_value_SVD_unique(lp)
|
||||
!enddo
|
||||
!do e = elec_alpha_num+1, elec_num
|
||||
! V -= pseudo_non_local_SVD(e) * g
|
||||
! V += det_alpha_value_SVD_unique(l) * det_beta_pseudo_SVD_unique(e,lp)
|
||||
!enddo
|
||||
f = -0.5d0*T + V
|
||||
f *= psidet_inv_SVD * psidet_inv_SVD
|
||||
|
||||
do j = 1, n_svd_selected
|
||||
ii = ii0 + j
|
||||
|
||||
k = psi_svd_alpha_numselected(j,1)
|
||||
kp = psi_svd_beta_numselected (j,1)
|
||||
|
||||
h_selected_matrix(ii) = f * det_alpha_value_SVD_unique(k) * det_beta_value_SVD_unique(kp)
|
||||
|
||||
enddo
|
||||
enddo
|
||||
|
||||
h_selected_matrix_min = min(h_selected_matrix_min,minval(h_selected_matrix))
|
||||
h_selected_matrix_max = max(h_selected_matrix_max,maxval(h_selected_matrix))
|
||||
SOFT_TOUCH h_selected_matrix_min h_selected_matrix_max
|
||||
END_PROVIDER
|
||||
|
@ -23,7 +23,7 @@ END_PROVIDER
|
||||
BEGIN_PROVIDER [ double precision, ci_h_psidet, (size_ci_h_psidet) ]
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! < Phi_0 | det(j) >
|
||||
! < Phi_0 | H | det(j) >
|
||||
!
|
||||
! Dimensions : det_num
|
||||
END_DOC
|
||||
@ -54,7 +54,7 @@ END_PROVIDER
|
||||
BEGIN_PROVIDER [ double precision, ci_overlap_matrix, (size_ci_overlap_matrix) ]
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! < det(i) |H| det(j) >
|
||||
! < det(i) | det(j) >
|
||||
!
|
||||
! Dimensions : det_num*det_num
|
||||
END_DOC
|
||||
|
221
src/PROPERTIES/properties_ci_SVD.irp.f
Normal file
221
src/PROPERTIES/properties_ci_SVD.irp.f
Normal file
@ -0,0 +1,221 @@
|
||||
|
||||
|
||||
|
||||
BEGIN_PROVIDER [ double precision, ci_overlap_psidet_SVD, (size_ci_overlap_psidet_SVD) ]
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! !!!
|
||||
! < psi_0 | det(j) >
|
||||
! Dimensions : n_svd_coefs
|
||||
END_DOC
|
||||
|
||||
integer :: k
|
||||
do k = 1, n_svd_coefs
|
||||
ci_overlap_psidet_SVD(k) = det_alpha_value_SVD(k) * det_beta_value_SVD(k) * psidet_inv_SVD
|
||||
enddo
|
||||
|
||||
ci_overlap_psidet_SVD_min = min(ci_overlap_psidet_SVD_min,minval(ci_overlap_psidet_SVD))
|
||||
ci_overlap_psidet_SVD_max = max(ci_overlap_psidet_SVD_max,maxval(ci_overlap_psidet_SVD))
|
||||
SOFT_TOUCH ci_overlap_psidet_SVD_min ci_overlap_psidet_SVD_max
|
||||
END_PROVIDER
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
BEGIN_PROVIDER [ double precision, ci_h_psidet_SVD, (size_ci_h_psidet_SVD) ]
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! !!!
|
||||
! < psi_0 |H| det(j) >
|
||||
! Dimensions : n_svd_coefs
|
||||
END_DOC
|
||||
|
||||
integer :: k, e
|
||||
double precision :: T
|
||||
|
||||
do k = 1, n_svd_coefs
|
||||
T = 0.d0
|
||||
do e = 1, elec_alpha_num
|
||||
T += det_alpha_grad_lapl_SVD(4,e,k) * det_beta_value_SVD(k)
|
||||
enddo
|
||||
do e = elec_beta_num+1, elec_num
|
||||
T += det_beta_grad_lapl_SVD(4,e,k) * det_alpha_value_SVD(k)
|
||||
enddo
|
||||
ci_h_psidet_SVD(k) = -0.5d0*T + E_pot * det_alpha_value_SVD(k) * det_beta_value_SVD(k)
|
||||
ci_h_psidet_SVD(k) *= psidet_inv_SVD
|
||||
enddo
|
||||
|
||||
ci_h_psidet_SVD_min = min(ci_h_psidet_SVD_min,minval(ci_h_psidet_SVD))
|
||||
ci_h_psidet_SVD_max = max(ci_h_psidet_SVD_max,maxval(ci_h_psidet_SVD))
|
||||
SOFT_TOUCH ci_h_psidet_SVD_min ci_h_psidet_SVD_max
|
||||
END_PROVIDER
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
BEGIN_PROVIDER [ double precision, ci_overlap_matrix_SVD, (size_ci_overlap_matrix_SVD) ]
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! !!!
|
||||
! < det(i) | det(j) >
|
||||
! Dimensions : n_svd_coefs * n_svd_coefs
|
||||
END_DOC
|
||||
|
||||
integer :: k, l
|
||||
double precision :: f
|
||||
|
||||
do k = 1, n_svd_coefs
|
||||
f = det_alpha_value_SVD(k) * det_beta_value_SVD(k) * psidet_inv_SVD * psidet_inv_SVD
|
||||
do l = 1, n_svd_coefs
|
||||
ci_overlap_matrix_SVD( n_svd_coefs*(k-1) + l) = det_alpha_value_SVD(l) * det_beta_value_SVD(l) * f
|
||||
enddo
|
||||
enddo
|
||||
|
||||
ci_overlap_matrix_SVD_min = min(ci_overlap_matrix_SVD_min,minval(ci_overlap_matrix_SVD))
|
||||
ci_overlap_matrix_SVD_max = max(ci_overlap_matrix_SVD_max,maxval(ci_overlap_matrix_SVD))
|
||||
SOFT_TOUCH ci_overlap_matrix_SVD_min ci_overlap_matrix_SVD_max
|
||||
END_PROVIDER
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
BEGIN_PROVIDER [ double precision, ci_h_matrix_SVD, (size_ci_h_matrix_SVD) ]
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! !!!
|
||||
! < det(i) | H | det(j) >
|
||||
! Dimensions : n_svd_coefs * n_svd_coefs
|
||||
END_DOC
|
||||
|
||||
integer :: k, l, e
|
||||
double precision :: f, g, h, T, V
|
||||
|
||||
do l = 1, n_svd_coefs
|
||||
! Lapl D
|
||||
g = 0.d0
|
||||
do e = 1, elec_alpha_num
|
||||
g += det_alpha_grad_lapl_SVD(4,e,l) * det_beta_value_SVD(l)
|
||||
enddo
|
||||
do e = elec_alpha_num+1, elec_num
|
||||
g += det_alpha_value_SVD(l) * det_beta_grad_lapl_SVD(4,e,l)
|
||||
enddo
|
||||
T = g
|
||||
! D (Lapl J)/J
|
||||
g = 0.d0
|
||||
do e = 1, elec_num
|
||||
g += jast_lapl_jast_inv(e)
|
||||
enddo
|
||||
T += det_alpha_value_SVD(l) * det_beta_value_SVD(l) * g
|
||||
! 2 (grad D).(Grad J)/J
|
||||
g = 0.d0
|
||||
do e = 1, elec_alpha_num
|
||||
g += &
|
||||
det_alpha_grad_lapl_SVD(1,e,l) * jast_grad_jast_inv_x(e) + &
|
||||
det_alpha_grad_lapl_SVD(2,e,l) * jast_grad_jast_inv_y(e) + &
|
||||
det_alpha_grad_lapl_SVD(3,e,l) * jast_grad_jast_inv_z(e)
|
||||
enddo
|
||||
h = 0.d0
|
||||
do e = elec_alpha_num+1, elec_num
|
||||
h += &
|
||||
det_beta_grad_lapl_SVD(1,e,l) * jast_grad_jast_inv_x(e) + &
|
||||
det_beta_grad_lapl_SVD(2,e,l) * jast_grad_jast_inv_y(e) + &
|
||||
det_beta_grad_lapl_SVD(3,e,l) * jast_grad_jast_inv_z(e)
|
||||
enddo
|
||||
T += 2.d0 * ( g * det_beta_value_SVD(l) + h * det_alpha_value_SVD(l) )
|
||||
g = det_alpha_value_SVD(l) * det_beta_value_SVD(l)
|
||||
V = E_pot * g
|
||||
do e = 1, elec_alpha_num
|
||||
V -= pseudo_non_local_SVD(e) * g
|
||||
V += det_alpha_pseudo_SVD(e,l) * det_beta_value_SVD(l)
|
||||
enddo
|
||||
do e = elec_alpha_num+1, elec_num
|
||||
V -= pseudo_non_local_SVD(e) * g
|
||||
V += det_alpha_value_SVD(l) * det_beta_pseudo_SVD(e,l)
|
||||
enddo
|
||||
f = -0.5d0*T + V
|
||||
f *= psidet_inv_SVD * psidet_inv_SVD
|
||||
do k = 1, n_svd_coefs
|
||||
ci_h_matrix_SVD( n_svd_coefs*(l-1) + k) = f * det_alpha_value_SVD(k) * det_beta_value_SVD(k)
|
||||
enddo
|
||||
enddo
|
||||
|
||||
ci_h_matrix_SVD_min = min(ci_h_matrix_SVD_min,minval(ci_h_matrix_SVD))
|
||||
ci_h_matrix_SVD_max = max(ci_h_matrix_SVD_max,maxval(ci_h_matrix_SVD))
|
||||
SOFT_TOUCH ci_h_matrix_SVD_min ci_h_matrix_SVD_max
|
||||
END_PROVIDER
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
BEGIN_PROVIDER [ double precision, ci_h_matrix_diag_SVD, (size_ci_h_matrix_diag_SVD) ]
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! < det(i) |H| det(j) >
|
||||
!
|
||||
! Dimensions : n_svd_coefs
|
||||
END_DOC
|
||||
|
||||
integer :: l, e
|
||||
double precision :: f, g, h, T, V
|
||||
|
||||
do l = 1, n_svd_coefs
|
||||
! Lapl D
|
||||
g = 0.d0
|
||||
do e = 1, elec_alpha_num
|
||||
g += det_alpha_grad_lapl_SVD(4,e,l) * det_beta_value_SVD(l)
|
||||
enddo
|
||||
do e = elec_alpha_num+1, elec_num
|
||||
g += det_alpha_value_SVD(l) * det_beta_grad_lapl_SVD(4,e,l)
|
||||
enddo
|
||||
T = g
|
||||
! D (Lapl J)/J
|
||||
g = 0.d0
|
||||
do e = 1, elec_num
|
||||
g += jast_lapl_jast_inv(e)
|
||||
enddo
|
||||
T += det_alpha_value(l) * det_beta_value_SVD(l) * g
|
||||
! 2 (grad D).(Grad J)/J
|
||||
g = 0.d0
|
||||
do e = 1 , elec_alpha_num
|
||||
g += &
|
||||
det_alpha_grad_lapl_SVD(1,e,l) * jast_grad_jast_inv_x(e) + &
|
||||
det_alpha_grad_lapl_SVD(2,e,l) * jast_grad_jast_inv_y(e) + &
|
||||
det_alpha_grad_lapl_SVD(3,e,l) * jast_grad_jast_inv_z(e)
|
||||
enddo
|
||||
h = 0.d0
|
||||
do e = elec_alpha_num+1, elec_num
|
||||
h += &
|
||||
det_beta_grad_lapl_SVD(1,e,l) * jast_grad_jast_inv_x(e) + &
|
||||
det_beta_grad_lapl_SVD(2,e,l) * jast_grad_jast_inv_y(e) + &
|
||||
det_beta_grad_lapl_SVD(3,e,l) * jast_grad_jast_inv_z(e)
|
||||
enddo
|
||||
T += 2.d0 * ( g * det_beta_value_SVD(l) + h * det_alpha_value_SVD(l) )
|
||||
g = det_alpha_value_SVD(l) * det_beta_value_SVD(l)
|
||||
V = E_pot * g
|
||||
do e = 1, elec_alpha_num
|
||||
V -= pseudo_non_local_SVD(e) * g
|
||||
V += det_alpha_pseudo_SVD(e,l) * det_beta_value_SVD(l)
|
||||
enddo
|
||||
do e = elec_alpha_num+1, elec_num
|
||||
V -= pseudo_non_local_SVD(e) * g
|
||||
V += det_alpha_value_SVD(l) * det_beta_pseudo_SVD(e,l)
|
||||
enddo
|
||||
f = -0.5d0*T + V
|
||||
f *= psidet_inv_SVD * psidet_inv_SVD
|
||||
ci_h_matrix_diag_SVD(l) = f * det_alpha_value_SVD(l) * det_beta_value_SVD(l)
|
||||
enddo
|
||||
|
||||
ci_h_matrix_diag_SVD_min = min(ci_h_matrix_diag_SVD_min,minval(ci_h_matrix_diag_SVD))
|
||||
ci_h_matrix_diag_SVD_max = max(ci_h_matrix_diag_SVD_max,maxval(ci_h_matrix_diag_SVD))
|
||||
SOFT_TOUCH ci_h_matrix_diag_SVD_min ci_h_matrix_diag_SVD_max
|
||||
END_PROVIDER
|
||||
|
||||
|
258
src/PROPERTIES/properties_ci_postSVD.irp.f
Normal file
258
src/PROPERTIES/properties_ci_postSVD.irp.f
Normal file
@ -0,0 +1,258 @@
|
||||
|
||||
|
||||
|
||||
BEGIN_PROVIDER [ double precision, ci_overlap_psidet_postSVD, (size_ci_overlap_psidet_postSVD) ]
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! !!!
|
||||
! < psi_0 | det(j) >
|
||||
! Dimensions : n_svd_coefs2
|
||||
END_DOC
|
||||
|
||||
integer :: k, kp
|
||||
do k = 1, n_svd_coefs
|
||||
do kp = 1, n_svd_coefs
|
||||
ci_overlap_psidet_postSVD(kp+(k-1)*n_svd_coefs) = det_alpha_value_SVD(k) * det_beta_value_SVD(kp) * psidet_inv_SVD
|
||||
enddo
|
||||
enddo
|
||||
|
||||
ci_overlap_psidet_postSVD_min = min(ci_overlap_psidet_postSVD_min,minval(ci_overlap_psidet_postSVD))
|
||||
ci_overlap_psidet_postSVD_max = max(ci_overlap_psidet_postSVD_max,maxval(ci_overlap_psidet_postSVD))
|
||||
SOFT_TOUCH ci_overlap_psidet_postSVD_min ci_overlap_psidet_postSVD_max
|
||||
END_PROVIDER
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
BEGIN_PROVIDER [ double precision, ci_h_psidet_postSVD, (size_ci_h_psidet_postSVD) ]
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! !!!
|
||||
! < psi_0 |H| det(j) >
|
||||
! Dimensions : n_svd_coefs2
|
||||
END_DOC
|
||||
|
||||
integer :: k, kp, e
|
||||
double precision :: T
|
||||
|
||||
do k = 1, n_svd_coefs
|
||||
do kp = 1, n_svd_coefs
|
||||
T = 0.d0
|
||||
do e = 1, elec_alpha_num
|
||||
T += det_alpha_grad_lapl_SVD(4,e,k) * det_beta_value_SVD(kp)
|
||||
enddo
|
||||
do e = elec_beta_num+1, elec_num
|
||||
T += det_alpha_value_SVD(k) * det_beta_grad_lapl_SVD(4,e,kp)
|
||||
enddo
|
||||
ci_h_psidet_postSVD(kp+(k-1)*n_svd_coefs) = -0.5d0*T + E_pot * det_alpha_value_SVD(k) * det_beta_value_SVD(kp)
|
||||
ci_h_psidet_postSVD(kp+(k-1)*n_svd_coefs) *= psidet_inv_SVD
|
||||
enddo
|
||||
enddo
|
||||
|
||||
ci_h_psidet_postSVD_min = min(ci_h_psidet_postSVD_min,minval(ci_h_psidet_postSVD))
|
||||
ci_h_psidet_postSVD_max = max(ci_h_psidet_postSVD_max,maxval(ci_h_psidet_postSVD))
|
||||
SOFT_TOUCH ci_h_psidet_postSVD_min ci_h_psidet_postSVD_max
|
||||
END_PROVIDER
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
BEGIN_PROVIDER [ double precision, ci_overlap_matrix_postSVD, (size_ci_overlap_matrix_postSVD) ]
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! !!!
|
||||
! < det(i) | det(j) >
|
||||
! Dimensions : n_svd_coefs2 * n_svd_coefs2
|
||||
END_DOC
|
||||
|
||||
integer :: k, kp, l, lp
|
||||
integer :: ii0, ii1, ii2, ii
|
||||
double precision :: f
|
||||
|
||||
do k = 1, n_svd_coefs
|
||||
ii0 = (k-1)*n_svd_coefs3
|
||||
do kp = 1, n_svd_coefs
|
||||
ii1 = ii0 + (kp-1)*n_svd_coefs2
|
||||
|
||||
f = det_alpha_value_SVD(k) * det_beta_value_SVD(kp) * psidet_inv_SVD * psidet_inv_SVD
|
||||
|
||||
do l = 1, n_svd_coefs
|
||||
ii2 = ii1 + (l-1)*n_svd_coefs
|
||||
do lp = 1, n_svd_coefs
|
||||
ii = ii2 + lp
|
||||
ci_overlap_matrix_postSVD(ii) = det_alpha_value_SVD(l) * det_beta_value_SVD(lp) * f
|
||||
enddo
|
||||
enddo
|
||||
enddo
|
||||
enddo
|
||||
|
||||
ci_overlap_matrix_postSVD_min = min(ci_overlap_matrix_postSVD_min,minval(ci_overlap_matrix_postSVD))
|
||||
ci_overlap_matrix_postSVD_max = max(ci_overlap_matrix_postSVD_max,maxval(ci_overlap_matrix_postSVD))
|
||||
SOFT_TOUCH ci_overlap_matrix_postSVD_min ci_overlap_matrix_postSVD_max
|
||||
END_PROVIDER
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
BEGIN_PROVIDER [ double precision, ci_h_matrix_postSVD, (size_ci_h_matrix_postSVD) ]
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! !!!
|
||||
! < det(i) | H | det(j) >
|
||||
! Dimensions : n_svd_coefs2 * n_svd_coefs2
|
||||
END_DOC
|
||||
|
||||
integer :: k, kp, l, lp, e
|
||||
integer :: ii0, ii1, ii2, ii
|
||||
double precision :: f, g, h, T, V
|
||||
|
||||
do l = 1, n_svd_coefs
|
||||
ii0 = (l-1)*n_svd_coefs3
|
||||
do lp = 1, n_svd_coefs
|
||||
ii1 = ii0 + (lp-1)*n_svd_coefs2
|
||||
|
||||
! Lapl D
|
||||
g = 0.d0
|
||||
do e = 1, elec_alpha_num
|
||||
g += det_alpha_grad_lapl_SVD(4,e,l) * det_beta_value_SVD(lp)
|
||||
enddo
|
||||
do e = elec_alpha_num+1, elec_num
|
||||
g += det_alpha_value_SVD(l) * det_beta_grad_lapl_SVD(4,e,lp)
|
||||
enddo
|
||||
T = g
|
||||
|
||||
! D (Lapl J)/J
|
||||
g = 0.d0
|
||||
do e = 1, elec_num
|
||||
g += jast_lapl_jast_inv(e)
|
||||
enddo
|
||||
T += det_alpha_value_SVD(l) * det_beta_value_SVD(lp) * g
|
||||
|
||||
! 2 (grad D).(Grad J)/J
|
||||
g = 0.d0
|
||||
do e = 1, elec_alpha_num
|
||||
g += &
|
||||
det_alpha_grad_lapl_SVD(1,e,l) * jast_grad_jast_inv_x(e) + &
|
||||
det_alpha_grad_lapl_SVD(2,e,l) * jast_grad_jast_inv_y(e) + &
|
||||
det_alpha_grad_lapl_SVD(3,e,l) * jast_grad_jast_inv_z(e)
|
||||
enddo
|
||||
h = 0.d0
|
||||
do e = elec_alpha_num+1, elec_num
|
||||
h += &
|
||||
det_beta_grad_lapl_SVD(1,e,lp) * jast_grad_jast_inv_x(e) + &
|
||||
det_beta_grad_lapl_SVD(2,e,lp) * jast_grad_jast_inv_y(e) + &
|
||||
det_beta_grad_lapl_SVD(3,e,lp) * jast_grad_jast_inv_z(e)
|
||||
enddo
|
||||
T += 2.d0 * ( g * det_beta_value_SVD(lp) + h * det_alpha_value_SVD(l) )
|
||||
|
||||
g = det_alpha_value_SVD(l) * det_beta_value_SVD(lp)
|
||||
V = E_pot * g
|
||||
do e = 1, elec_alpha_num
|
||||
V -= pseudo_non_local_SVD(e) * g
|
||||
V += det_alpha_pseudo_SVD(e,l) * det_beta_value_SVD(lp)
|
||||
enddo
|
||||
do e = elec_alpha_num+1, elec_num
|
||||
V -= pseudo_non_local_SVD(e) * g
|
||||
V += det_alpha_value_SVD(l) * det_beta_pseudo_SVD(e,lp)
|
||||
enddo
|
||||
|
||||
f = -0.5d0*T + V
|
||||
f *= psidet_inv_SVD * psidet_inv_SVD
|
||||
|
||||
do k = 1, n_svd_coefs
|
||||
ii2 = ii1 + (k-1)*n_svd_coefs
|
||||
do kp = 1, n_svd_coefs
|
||||
ii = ii2 + kp
|
||||
ci_h_matrix_postSVD(ii) = f * det_alpha_value_SVD(k) * det_beta_value_SVD(kp)
|
||||
enddo
|
||||
enddo
|
||||
|
||||
enddo
|
||||
enddo
|
||||
|
||||
ci_h_matrix_postSVD_min = min(ci_h_matrix_postSVD_min,minval(ci_h_matrix_postSVD))
|
||||
ci_h_matrix_postSVD_max = max(ci_h_matrix_postSVD_max,maxval(ci_h_matrix_postSVD))
|
||||
SOFT_TOUCH ci_h_matrix_postSVD_min ci_h_matrix_postSVD_max
|
||||
END_PROVIDER
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
BEGIN_PROVIDER [ double precision, ci_h_matrix_diag_postSVD, (size_ci_h_matrix_diag_postSVD) ]
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! < det(i) |H| det(j) >
|
||||
!
|
||||
! Dimensions : n_svd_coefs2
|
||||
END_DOC
|
||||
|
||||
integer :: l, lp, e
|
||||
integer :: ii0, ii
|
||||
double precision :: f, g, h, T, V
|
||||
|
||||
do l = 1, n_svd_coefs
|
||||
ii0 = (l-1)*n_svd_coefs
|
||||
do lp = 1, n_svd_coefs
|
||||
ii = ii0 + lp
|
||||
|
||||
! Lapl D
|
||||
g = 0.d0
|
||||
do e = 1, elec_alpha_num
|
||||
g += det_alpha_grad_lapl_SVD(4,e,l) * det_beta_value_SVD(lp)
|
||||
enddo
|
||||
do e = elec_alpha_num+1, elec_num
|
||||
g += det_alpha_value_SVD(l) * det_beta_grad_lapl_SVD(4,e,lp)
|
||||
enddo
|
||||
T = g
|
||||
! D (Lapl J)/J
|
||||
g = 0.d0
|
||||
do e = 1, elec_num
|
||||
g += jast_lapl_jast_inv(e)
|
||||
enddo
|
||||
T += det_alpha_value_SVD(l) * det_beta_value_SVD(lp) * g
|
||||
! 2 (grad D).(Grad J)/J
|
||||
g = 0.d0
|
||||
do e = 1, elec_alpha_num
|
||||
g += &
|
||||
det_alpha_grad_lapl_SVD(1,e,l) * jast_grad_jast_inv_x(e) + &
|
||||
det_alpha_grad_lapl_SVD(2,e,l) * jast_grad_jast_inv_y(e) + &
|
||||
det_alpha_grad_lapl_SVD(3,e,l) * jast_grad_jast_inv_z(e)
|
||||
enddo
|
||||
h = 0.d0
|
||||
do e = elec_alpha_num+1, elec_num
|
||||
h += &
|
||||
det_beta_grad_lapl_SVD(1,e,lp) * jast_grad_jast_inv_x(e) + &
|
||||
det_beta_grad_lapl_SVD(2,e,lp) * jast_grad_jast_inv_y(e) + &
|
||||
det_beta_grad_lapl_SVD(3,e,lp) * jast_grad_jast_inv_z(e)
|
||||
enddo
|
||||
T += 2.d0 * ( g * det_beta_value_SVD(lp) + h * det_alpha_value_SVD(l) )
|
||||
g = det_alpha_value_SVD(l) * det_beta_value_SVD(lp)
|
||||
V = E_pot * g
|
||||
do e = 1, elec_alpha_num
|
||||
V -= pseudo_non_local_SVD(e) * g
|
||||
V += det_alpha_pseudo_SVD(e,l) * det_beta_value_SVD(lp)
|
||||
enddo
|
||||
do e = elec_alpha_num+1, elec_num
|
||||
V -= pseudo_non_local_SVD(e) * g
|
||||
V += det_alpha_value_SVD(l) * det_beta_pseudo_SVD(e,lp)
|
||||
enddo
|
||||
f = -0.5d0*T + V
|
||||
f *= psidet_inv_SVD * psidet_inv_SVD
|
||||
ci_h_matrix_diag_postSVD(ii) = f * det_alpha_value_SVD(l) * det_beta_value_SVD(lp)
|
||||
enddo
|
||||
enddo
|
||||
|
||||
ci_h_matrix_diag_postSVD_min = min(ci_h_matrix_diag_postSVD_min,minval(ci_h_matrix_diag_postSVD))
|
||||
ci_h_matrix_diag_postSVD_max = max(ci_h_matrix_diag_postSVD_max,maxval(ci_h_matrix_diag_postSVD))
|
||||
SOFT_TOUCH ci_h_matrix_diag_postSVD_min ci_h_matrix_diag_postSVD_max
|
||||
END_PROVIDER
|
||||
|
||||
|
235
src/PROPERTIES/properties_deriv_jast.irp.f
Normal file
235
src/PROPERTIES/properties_deriv_jast.irp.f
Normal file
@ -0,0 +1,235 @@
|
||||
|
||||
BEGIN_PROVIDER [ double precision, E_deriv_nucPar_loc1, (size_E_deriv_nucPar_loc1) ]
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! Local energy variation with respect to nuclear parameters
|
||||
!
|
||||
! Dimensions : nucl_num
|
||||
END_DOC
|
||||
|
||||
integer :: i
|
||||
|
||||
do i = 1, nucl_num
|
||||
E_deriv_nucPar_loc1(i) = E_loc*jast_elec_Simple_deriv_nucPar(i)
|
||||
enddo
|
||||
|
||||
E_deriv_nucPar_loc1_min = min(E_deriv_nucPar_loc1_min,minval(E_deriv_nucPar_loc1))
|
||||
E_deriv_nucPar_loc1_max = max(E_deriv_nucPar_loc1_max,maxval(E_deriv_nucPar_loc1))
|
||||
SOFT_TOUCH E_deriv_nucPar_loc1_min E_deriv_nucPar_loc1_max
|
||||
|
||||
END_PROVIDER
|
||||
|
||||
|
||||
BEGIN_PROVIDER [ double precision, E_deriv_nucPar_loc2, (size_E_deriv_nucPar_loc2) ]
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! Local energy variation with respect to nuclear parameters
|
||||
!
|
||||
! Dimensions : nucl_num
|
||||
END_DOC
|
||||
|
||||
integer :: i
|
||||
|
||||
do i=1,nucl_num
|
||||
E_deriv_nucPar_loc2(i) = jast_elec_Simple_deriv_nucPar(i)
|
||||
enddo
|
||||
|
||||
E_deriv_nucPar_loc2_min = min(E_deriv_nucPar_loc2_min,minval(E_deriv_nucPar_loc2))
|
||||
E_deriv_nucPar_loc2_max = max(E_deriv_nucPar_loc2_max,maxval(E_deriv_nucPar_loc2))
|
||||
SOFT_TOUCH E_deriv_nucPar_loc2_min E_deriv_nucPar_loc2_max
|
||||
END_PROVIDER
|
||||
|
||||
|
||||
|
||||
BEGIN_PROVIDER [ double precision, E_deriv_bPar_loc1 ]
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! Local energy variation with respect to parameter b
|
||||
END_DOC
|
||||
|
||||
E_deriv_bPar_loc1 = E_loc*J_deriv_bPar_ex
|
||||
|
||||
E_deriv_bPar_loc1_min = min(E_deriv_bPar_loc1_min, E_deriv_bPar_loc1)
|
||||
E_deriv_bPar_loc1_max = max(E_deriv_bPar_loc1_max, E_deriv_bPar_loc1)
|
||||
SOFT_TOUCH E_deriv_bPar_loc1_min E_deriv_bPar_loc1_max
|
||||
END_PROVIDER
|
||||
|
||||
BEGIN_PROVIDER [ double precision, E_deriv_bPar_loc2 ]
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! Local energy variation with respect to parameter b
|
||||
END_DOC
|
||||
|
||||
E_deriv_bPar_loc2 = J_deriv_bPar_ex
|
||||
|
||||
E_deriv_bPar_loc2_min = min(E_deriv_bPar_loc2_min, E_deriv_bPar_loc2)
|
||||
E_deriv_bPar_loc2_max = max(E_deriv_bPar_loc2_max, E_deriv_bPar_loc2)
|
||||
SOFT_TOUCH E_deriv_bPar_loc2_min E_deriv_bPar_loc2_max
|
||||
END_PROVIDER
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
BEGIN_PROVIDER [ double precision, J_deriv_nucPar_verif, (size_J_deriv_nucPar_verif) ]
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! Jastrow variation with respect to nuclear parameters
|
||||
!
|
||||
! Dimensions : nucl_num
|
||||
END_DOC
|
||||
|
||||
integer :: i, j
|
||||
double precision :: eps = 1d-7, der1, der2, pos0
|
||||
|
||||
do j = 1, nucl_num
|
||||
!!!
|
||||
pos0 = eps * jast_pen(j)
|
||||
!!!
|
||||
jast_pen(j) = jast_pen(j) + pos0
|
||||
TOUCH jast_pen
|
||||
der1 = 0.d0
|
||||
!DIR$ LOOP COUNT (100)
|
||||
do i = 1, elec_num
|
||||
der1 += jast_elec_Simple_value(i)
|
||||
end do
|
||||
!!!
|
||||
jast_pen(j) = jast_pen(j) - 2.d0 * pos0
|
||||
TOUCH jast_pen
|
||||
der2 = 0.d0
|
||||
!DIR$ LOOP COUNT (100)
|
||||
do i = 1, elec_num
|
||||
der2 += jast_elec_Simple_value(i)
|
||||
end do
|
||||
!!!
|
||||
J_deriv_nucPar_verif(j) = 0.5d0 * (der1 - der2) / pos0
|
||||
!!!
|
||||
end do
|
||||
|
||||
J_deriv_nucPar_verif_min = min(J_deriv_nucPar_verif_min,minval(J_deriv_nucPar_verif))
|
||||
J_deriv_nucPar_verif_max = max(J_deriv_nucPar_verif_max,maxval(J_deriv_nucPar_verif))
|
||||
SOFT_TOUCH J_deriv_nucPar_verif_min J_deriv_nucPar_verif_max
|
||||
|
||||
END_PROVIDER
|
||||
|
||||
|
||||
|
||||
BEGIN_PROVIDER [ double precision, J_deriv_nucPar_ex, (size_J_deriv_nucPar_ex) ]
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! Jastrow variation with respect to nuclear parameters
|
||||
!
|
||||
! Dimensions : nucl_num
|
||||
END_DOC
|
||||
|
||||
integer :: j
|
||||
|
||||
do j = 1, nucl_num
|
||||
J_deriv_nucPar_ex(j) = jast_elec_Simple_deriv_nucPar(j)
|
||||
end do
|
||||
|
||||
J_deriv_nucPar_ex_min = min(J_deriv_nucPar_ex_min,minval(J_deriv_nucPar_ex))
|
||||
J_deriv_nucPar_ex_max = max(J_deriv_nucPar_ex_max,maxval(J_deriv_nucPar_ex))
|
||||
SOFT_TOUCH J_deriv_nucPar_ex_min J_deriv_nucPar_ex_max
|
||||
|
||||
END_PROVIDER
|
||||
|
||||
|
||||
|
||||
BEGIN_PROVIDER [ double precision, J_deriv_bPar_ex ]
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! Jastrow variation with respect to parameter b
|
||||
! we suppose that jast_b_up_up = jast_b_up_dn
|
||||
END_DOC
|
||||
|
||||
double precision :: tmp, Jtmp, a, b, rij
|
||||
integer :: i, j
|
||||
|
||||
b = jast_b_up_up ! and also = jast_b_up_dn
|
||||
|
||||
! parallele spin up-up
|
||||
Jtmp = 0.d0
|
||||
a = jast_a_up_up
|
||||
do j = 1, elec_alpha_num-1
|
||||
!DIR$ LOOP COUNT (50)
|
||||
do i = j+1, elec_alpha_num
|
||||
rij = elec_dist(i,j)
|
||||
tmp = rij/(1.d0+b*rij)
|
||||
Jtmp = Jtmp + tmp * tmp
|
||||
enddo
|
||||
enddo
|
||||
do j = elec_alpha_num+1, elec_num-1
|
||||
!DIR$ LOOP COUNT (50)
|
||||
do i = j+1, elec_num
|
||||
rij = elec_dist(i,j)
|
||||
tmp = rij/(1.d0+b*rij)
|
||||
Jtmp = Jtmp + tmp * tmp
|
||||
enddo
|
||||
enddo
|
||||
J_deriv_bPar_ex = -1.d0 * a * Jtmp
|
||||
|
||||
|
||||
|
||||
! anti-parallele spin
|
||||
Jtmp = 0.d0
|
||||
a = jast_a_up_dn
|
||||
do j = 1, elec_alpha_num
|
||||
!DIR$ LOOP COUNT (50)
|
||||
do i = elec_alpha_num+1, elec_num
|
||||
rij = elec_dist(i,j)
|
||||
tmp = rij/(1.d0+b*rij)
|
||||
Jtmp = Jtmp + tmp * tmp
|
||||
enddo
|
||||
enddo
|
||||
J_deriv_bPar_ex = J_deriv_bPar_ex - a * Jtmp
|
||||
|
||||
|
||||
J_deriv_bPar_ex_min = min(J_deriv_bPar_ex_min, J_deriv_bPar_ex)
|
||||
J_deriv_bPar_ex_max = max(J_deriv_bPar_ex_max, J_deriv_bPar_ex)
|
||||
SOFT_TOUCH J_deriv_bPar_ex_min J_deriv_bPar_ex_max
|
||||
|
||||
END_PROVIDER
|
||||
|
||||
|
||||
|
||||
BEGIN_PROVIDER [ double precision, J_deriv_bPar_verif ]
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! verification: Jastrow variation with respect to parameter b
|
||||
! we suppose that jast_b_up_up = jast_b_up_dn
|
||||
END_DOC
|
||||
|
||||
integer :: i
|
||||
double precision :: eps = 1d-7, der1, der2, pos0
|
||||
|
||||
pos0 = eps * jast_b_up_up
|
||||
! !!!
|
||||
jast_b_up_up = jast_b_up_up + pos0
|
||||
TOUCH jast_b_up_up
|
||||
jast_b_up_dn = jast_b_up_up
|
||||
TOUCH jast_b_up_dn
|
||||
der1 = 0.d0
|
||||
!DIR$ LOOP COUNT (100)
|
||||
do i = 1, elec_num
|
||||
der1 += jast_elec_Simple_value(i)
|
||||
end do
|
||||
! !!!
|
||||
jast_b_up_up = jast_b_up_up - 2.d0 * pos0
|
||||
TOUCH jast_b_up_up
|
||||
jast_b_up_dn = jast_b_up_up
|
||||
TOUCH jast_b_up_dn
|
||||
der2 = 0.d0
|
||||
!DIR$ LOOP COUNT (100)
|
||||
do i = 1, elec_num
|
||||
der2 += jast_elec_Simple_value(i)
|
||||
end do
|
||||
! !!!
|
||||
J_deriv_bPar_verif = 0.5d0 * (der1 - der2) / pos0
|
||||
|
||||
|
||||
J_deriv_bPar_verif_min = min(J_deriv_bPar_verif_min, J_deriv_bPar_verif)
|
||||
J_deriv_bPar_verif_max = max(J_deriv_bPar_verif_max, J_deriv_bPar_verif)
|
||||
SOFT_TOUCH J_deriv_bPar_verif_min J_deriv_bPar_verif_max
|
||||
|
||||
END_PROVIDER
|
@ -277,9 +277,3 @@ BEGIN_PROVIDER [ double precision, E_loc_zv ]
|
||||
|
||||
END_PROVIDER
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
49
src/PROPERTIES/properties_energy_SVD.irp.f
Normal file
49
src/PROPERTIES/properties_energy_SVD.irp.f
Normal file
@ -0,0 +1,49 @@
|
||||
!==========================================================================!
|
||||
! DIMENSIONS !
|
||||
!==========================================================================!
|
||||
|
||||
BEGIN_PROVIDER [ double precision, E_kin_elec_SVD, (elec_num) ]
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! Electronic Kinetic energy : -1/2 (Lapl.Psi_SVD)/Psi_SVD
|
||||
END_DOC
|
||||
integer :: i
|
||||
do i = 1, elec_num
|
||||
E_kin_elec_SVD(i) = -0.5d0 * psi_lapl_psi_inv_SVD(i)
|
||||
enddo
|
||||
END_PROVIDER
|
||||
|
||||
|
||||
|
||||
!==========================================================================!
|
||||
! PROPERTIES !
|
||||
!==========================================================================!
|
||||
|
||||
|
||||
BEGIN_PROVIDER [ double precision, E_loc_SVD ]
|
||||
implicit none
|
||||
include '../types.F'
|
||||
BEGIN_DOC
|
||||
! Local energy : E_kin + E_pot + E_nucl
|
||||
END_DOC
|
||||
|
||||
integer :: i
|
||||
|
||||
E_loc_SVD = E_nucl
|
||||
!DIR$ VECTOR ALIGNED
|
||||
!DIR$ LOOP COUNT(200)
|
||||
do i = 1, elec_num
|
||||
E_loc_SVD += E_kin_elec_SVD(i) + E_pot_elec(i)
|
||||
enddo
|
||||
|
||||
! Avoid divergence of E_loc_SVD and population explosion
|
||||
if (do_pseudo) then
|
||||
double precision :: delta_e
|
||||
E_loc_SVD = max(2.d0*E_ref, E_loc_SVD)
|
||||
endif
|
||||
|
||||
E_loc_SVD_min = min(E_loc_SVD,E_loc_SVD_min)
|
||||
E_loc_SVD_max = max(E_loc_SVD,E_loc_SVD_max)
|
||||
SOFT_TOUCH E_loc_SVD_min E_loc_SVD_max
|
||||
|
||||
END_PROVIDER
|
262
src/QMC_SVD/v0/test_SVD.py
Executable file
262
src/QMC_SVD/v0/test_SVD.py
Executable file
@ -0,0 +1,262 @@
|
||||
#!/usr/bin/env python3
|
||||
# !!!
|
||||
import sys, os
|
||||
QMCCHEM_PATH=os.environ["QMCCHEM_PATH"]
|
||||
sys.path.insert(0,QMCCHEM_PATH+"/EZFIO/Python/")
|
||||
# !!!
|
||||
from ezfio import ezfio
|
||||
from math import sqrt
|
||||
from datetime import datetime
|
||||
import time
|
||||
import numpy as np
|
||||
import subprocess
|
||||
from scipy.linalg import eig, eigh
|
||||
|
||||
# PARAMETERS
|
||||
block_time = 20
|
||||
eps = 1.
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def get_energy():
|
||||
buffer = subprocess.check_output(['qmcchem', 'result', '-e', 'e_loc', filename], encoding='UTF-8')
|
||||
if buffer.strip() != "":
|
||||
buffer = buffer.splitlines()[-1]
|
||||
_, energy, error = [float(x) for x in buffer.split()]
|
||||
return energy, error
|
||||
else:
|
||||
return None, None
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def run_qmc():
|
||||
return subprocess.check_output(['qmcchem', 'run', filename])
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def stop_qmc():
|
||||
subprocess.check_output(['qmcchem', 'stop', filename])
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def set_vmc_params():
|
||||
#subprocess.check_output(['qmcchem', 'edit', '-c', '-j', 'Simple',
|
||||
# '-m', 'VMC',
|
||||
# '-l', str(20),
|
||||
# '--time-step=0.3',
|
||||
# '--stop-time=36000',
|
||||
# '--norm=1.e-5',
|
||||
# '-w', '10',
|
||||
# filename])
|
||||
subprocess.check_output(['qmcchem', 'edit', '-c', '-j', 'None', '-l', str(block_time), filename])
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def get_Ci_h_matrix_svd(n_svd):
|
||||
# !!!
|
||||
Ci_h_matrix_svd = np.zeros( (n_svd,n_svd) )
|
||||
# !!!
|
||||
beg_Ci_h_matrix_svd = results.find('Ci_h_matrix_svd : [ ') + len( 'Ci_h_matrix_svd : [ ' )
|
||||
end_Ci_h_matrix_svd = len(results)#results.find('E_loc :')
|
||||
Ci_h_matrix_svd_buf = results[beg_Ci_h_matrix_svd:end_Ci_h_matrix_svd]
|
||||
Ci_h_matrix_svd_buf = Ci_h_matrix_svd_buf.split( '\n' )
|
||||
# !!!
|
||||
for iline in range(1, n_svd**2+1):
|
||||
# !!!
|
||||
line = Ci_h_matrix_svd_buf[iline].split()
|
||||
indc = int( line[0] )
|
||||
errS = float( line[4] )
|
||||
#if( errS>eps ):
|
||||
#print( line )
|
||||
if( indc != iline ):
|
||||
print('Error in reading Ci_h_matrix_svd')
|
||||
stop
|
||||
else:
|
||||
#Ci_h_matrix_svd[indc-1] = float( line[2] )
|
||||
irow = indc % n_svd
|
||||
icol = indc // n_svd
|
||||
if( irow!=0 ):
|
||||
Ci_h_matrix_svd[irow-1][icol] = float( line[2] )
|
||||
else:
|
||||
Ci_h_matrix_svd[n_svd-1][icol-1] = float( line[2] )
|
||||
# !!!
|
||||
# !!!
|
||||
# Ci_h_matrix_svd = np.reshape(Ci_h_matrix_svd, (n_svd, n_svd), order='F')
|
||||
# !!!
|
||||
return(Ci_h_matrix_svd)
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def get_Ci_overlap_matrix_svd(n_svd):
|
||||
# !!!
|
||||
Ci_overlap_matrix_svd = np.zeros( (n_svd,n_svd) )
|
||||
# !!!
|
||||
beg_Ci_overlap_matrix_svd = results.find('Ci_overlap_matrix_svd : [ ') + len( 'Ci_overlap_matrix_svd : [ ' )
|
||||
end_Ci_overlap_matrix_svd = len(results)#results.find('Ci_h_matrix_svd : [')
|
||||
Ci_overlap_matrix_svd_buf = results[beg_Ci_overlap_matrix_svd:end_Ci_overlap_matrix_svd]
|
||||
Ci_overlap_matrix_svd_buf = Ci_overlap_matrix_svd_buf.split( '\n' )
|
||||
# !!!
|
||||
for iline in range(1, n_svd**2+1):
|
||||
# !!!
|
||||
line = Ci_overlap_matrix_svd_buf[iline].split()
|
||||
indc = int( line[0] )
|
||||
# !!!
|
||||
errS = float( line[4] )
|
||||
#if( errS>eps ):
|
||||
#print( line )
|
||||
if( indc != iline ):
|
||||
print('Error in reading Ci_overlap_matrix_svd')
|
||||
stop
|
||||
# !!!
|
||||
# !!!
|
||||
else:
|
||||
#Ci_overlap_matrix_svd[indc-1] = float( line[2] )
|
||||
irow = indc % n_svd
|
||||
icol = indc // n_svd
|
||||
if( irow!=0 ):
|
||||
Ci_overlap_matrix_svd[irow-1][icol] = float( line[2] )
|
||||
else:
|
||||
Ci_overlap_matrix_svd[n_svd-1][icol-1] = float( line[2] )
|
||||
# !!!
|
||||
# !!!
|
||||
# !!!
|
||||
#Ci_overlap_matrix_svd = np.reshape(Ci_overlap_matrix_svd, (n_svd, n_svd), order='F')
|
||||
# !!!
|
||||
return(Ci_overlap_matrix_svd)
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def get_Ci_h_matrix_postsvd(n_svd):
|
||||
# !!!
|
||||
Ci_h_matrix_postsvd = np.zeros( (n_svd*n_svd*n_svd*n_svd) )
|
||||
# !!!
|
||||
beg_Ci_h_matrix_postsvd = results.find('Ci_h_matrix_postsvd : [ ') + len( 'Ci_h_matrix_postsvd : [ ' )
|
||||
end_Ci_h_matrix_postsvd = len(results)
|
||||
Ci_h_matrix_postsvd_buf = results[beg_Ci_h_matrix_postsvd:end_Ci_h_matrix_postsvd]
|
||||
Ci_h_matrix_postsvd_buf = Ci_h_matrix_postsvd_buf.split( '\n' )
|
||||
# !!!
|
||||
for iline in range(1, n_svd**4+1):
|
||||
# !!!
|
||||
line = Ci_h_matrix_postsvd_buf[iline].split()
|
||||
indc = int( line[0] )
|
||||
errS = float( line[4] )
|
||||
#if( errS>eps ):
|
||||
#print( line )
|
||||
if( indc != iline ):
|
||||
print('Error in reading Ci_h_matrix_postsvd')
|
||||
stop
|
||||
else:
|
||||
Ci_h_matrix_postsvd[indc-1] = float( line[2] )
|
||||
# !!!
|
||||
Ci_h_matrix_postsvd = np.reshape(Ci_h_matrix_postsvd, (n_svd*n_svd, n_svd*n_svd), order='F')
|
||||
# !!!
|
||||
return(Ci_h_matrix_postsvd)
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def get_Ci_overlap_matrix_postsvd(n_svd):
|
||||
# !!!
|
||||
Ci_overlap_matrix_postsvd = np.zeros( (n_svd*n_svd*n_svd*n_svd) )
|
||||
# !!!
|
||||
beg_Ci_overlap_matrix_postsvd = results.find('Ci_overlap_matrix_postsvd : [ ') + len( 'Ci_overlap_matrix_postsvd : [ ' )
|
||||
end_Ci_overlap_matrix_postsvd = len(results)
|
||||
Ci_overlap_matrix_postsvd_buf = results[beg_Ci_overlap_matrix_postsvd:end_Ci_overlap_matrix_postsvd]
|
||||
Ci_overlap_matrix_postsvd_buf = Ci_overlap_matrix_postsvd_buf.split( '\n' )
|
||||
# !!!
|
||||
for iline in range(1, n_svd**4+1):
|
||||
# !!!
|
||||
line = Ci_overlap_matrix_postsvd_buf[iline].split()
|
||||
indc = int( line[0] )
|
||||
errS = float( line[4] )
|
||||
#if( errS>eps ):
|
||||
#print( line )
|
||||
if( indc != iline ):
|
||||
print('Error in reading Ci_overlap_matrix_postsvd')
|
||||
stop
|
||||
else:
|
||||
Ci_overlap_matrix_postsvd[indc-1] = float( line[2] )
|
||||
# !!!
|
||||
Ci_overlap_matrix_postsvd = np.reshape(Ci_overlap_matrix_postsvd, (n_svd*n_svd, n_svd*n_svd), order='F')
|
||||
# !!!
|
||||
return(Ci_overlap_matrix_postsvd)
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
t0 = time.time()
|
||||
# !!!
|
||||
filename = "/home/ammar/qp2/src/svdwf/h2o.ezfio"
|
||||
ezfio.set_file(filename)
|
||||
# !!!
|
||||
print("Today's date:", datetime.now() )
|
||||
print("filename = {}".format(filename))
|
||||
print("start QMC:")
|
||||
#set_vmc_params()
|
||||
#run_qmc()
|
||||
#
|
||||
##stop_qmc()
|
||||
results = subprocess.check_output(['qmcchem', 'result', filename], encoding='UTF-8')
|
||||
# !!!
|
||||
#file = open('results.txt','a')
|
||||
#file.write('\n \n \n')
|
||||
#file.write('- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -\n \n')
|
||||
#file.write("Today's date: {}\n".format(datetime.now()) )
|
||||
#file.write("filename = {}\n".format(filename))
|
||||
#file.write('\n')
|
||||
#file.write( results )
|
||||
#file.write('\n')
|
||||
#print("end QMC after {} minutes\n".format((time.time()-t0)/60.) )
|
||||
#file.write('+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +\n \n')
|
||||
#file.close()
|
||||
# !!!
|
||||
E_loc, ErrEloc = get_energy()
|
||||
print('Eloc = {} +/- {}'.format(E_loc, ErrEloc))
|
||||
# !!!
|
||||
n_svd = 10
|
||||
Ci_h_matrix_svd = get_Ci_h_matrix_svd(n_svd)
|
||||
Ci_overlap_matrix_svd = get_Ci_overlap_matrix_svd(n_svd)
|
||||
# !!!
|
||||
aa = Ci_h_matrix_svd
|
||||
bb = Ci_overlap_matrix_svd
|
||||
eigvals_svd, vr = eig(aa, bb, left=False, right=True, overwrite_a=True, overwrite_b=True, check_finite=True, homogeneous_eigvals=False)
|
||||
print( eigvals_svd+9.194966082434476 )
|
||||
# !!!
|
||||
Ci_h_matrix_postsvd = get_Ci_h_matrix_postsvd(n_svd)
|
||||
Ci_overlap_matrix_postsvd = get_Ci_overlap_matrix_postsvd(n_svd)
|
||||
# !!!
|
||||
aa = Ci_h_matrix_postsvd
|
||||
bb = Ci_overlap_matrix_postsvd
|
||||
eigvals_postsvd, vr = eig(aa, bb, left=False, right=True, overwrite_a=True, overwrite_b=True, check_finite=True, homogeneous_eigvals=False)
|
||||
print( eigvals_postsvd+9.194966082434476 )
|
||||
# !!!
|
||||
print("end code after {:.3f} minutes".format((time.time()-t0)/60.) )
|
||||
# !!!
|
||||
# !!!
|
||||
|
||||
|
10
src/QMC_SVD/v1/QR.py
Normal file
10
src/QMC_SVD/v1/QR.py
Normal file
@ -0,0 +1,10 @@
|
||||
# !!!
|
||||
import numpy as np
|
||||
# !!!
|
||||
def QR_fact(X):
|
||||
Q, R = np.linalg.qr(X, mode="reduced")
|
||||
D = np.diag( np.sign( np.diag(R) ) )
|
||||
Qunique = np.dot(Q,D)
|
||||
#Runique = np.dot(D,R)
|
||||
return(Qunique)
|
||||
# !!!
|
20
src/QMC_SVD/v1/RSVD.py
Normal file
20
src/QMC_SVD/v1/RSVD.py
Normal file
@ -0,0 +1,20 @@
|
||||
# !!!
|
||||
import numpy as np
|
||||
from QR import QR_fact
|
||||
# !!!
|
||||
def powit_RSVD(X, new_r, nb_powit, nb_oversamp):
|
||||
# !!!
|
||||
G = np.random.randn(X.shape[1], new_r+nb_oversamp)
|
||||
Q = QR_fact( np.dot(X,G) )
|
||||
# !!!
|
||||
for _ in range(nb_powit):
|
||||
Q = QR_fact( np.dot(X.T,Q) )
|
||||
Q = QR_fact( np.dot(X,Q) )
|
||||
# !!!
|
||||
Y = np.dot(Q.T,X)
|
||||
# !!!
|
||||
U, S, VT = np.linalg.svd(Y, full_matrices=0)
|
||||
U = np.dot(Q,U)
|
||||
return U[:,:(new_r)], S[:(new_r)], VT[:(new_r),:]
|
||||
# !!!
|
||||
# !!!
|
513
src/QMC_SVD/v1/diag_after_QMCCHEM.py
Executable file
513
src/QMC_SVD/v1/diag_after_QMCCHEM.py
Executable file
@ -0,0 +1,513 @@
|
||||
#!/usr/bin/env python3
|
||||
# !!!
|
||||
import sys, os
|
||||
QMCCHEM_PATH=os.environ["QMCCHEM_PATH"]
|
||||
sys.path.insert(0,QMCCHEM_PATH+"/EZFIO/Python/")
|
||||
# !!!
|
||||
from ezfio import ezfio
|
||||
from math import sqrt
|
||||
from datetime import datetime
|
||||
import time
|
||||
import numpy as np
|
||||
import subprocess
|
||||
from scipy.linalg import eig, eigh
|
||||
from RSVD import powit_RSVD
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def get_energy():
|
||||
buffer = subprocess.check_output(['qmcchem', 'result', '-e', 'e_loc', EZFIO_file], encoding='UTF-8')
|
||||
if buffer.strip() != "":
|
||||
buffer = buffer.splitlines()[-1]
|
||||
_, energy, error = [float(x) for x in buffer.split()]
|
||||
return energy, error
|
||||
else:
|
||||
return None, None
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def run_qmc():
|
||||
return subprocess.check_output(['qmcchem', 'run', EZFIO_file])
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def stop_qmc():
|
||||
subprocess.check_output(['qmcchem', 'stop', EZFIO_file])
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def set_vmc_params():
|
||||
#subprocess.check_output(['qmcchem', 'edit', '-c', '-j', 'Simple',
|
||||
# '-m', 'VMC',
|
||||
# '-l', str(20),
|
||||
# '--time-step=0.3',
|
||||
# '--stop-time=36000',
|
||||
# '--norm=1.e-5',
|
||||
# '-w', '10',
|
||||
# EZFIO_file])
|
||||
subprocess.check_output(['qmcchem', 'edit', '-c', '-j', 'None', '-l', str(block_time), EZFIO_file])
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def get_Ci_h_matrix_svd():
|
||||
# !!!
|
||||
Ci_h_matrix_svd = np.zeros( (n_svd,n_svd) )
|
||||
# !!!
|
||||
beg_Ci_h_matrix_svd = results.find('Ci_h_matrix_svd : [ ') + len( 'Ci_h_matrix_svd : [ ' )
|
||||
end_Ci_h_matrix_svd = len(results)
|
||||
Ci_h_matrix_svd_buf = results[beg_Ci_h_matrix_svd:end_Ci_h_matrix_svd]
|
||||
Ci_h_matrix_svd_buf = Ci_h_matrix_svd_buf.split( '\n' )
|
||||
# !!!
|
||||
for iline in range(1, n_svd**2+1):
|
||||
# !!!
|
||||
line = Ci_h_matrix_svd_buf[iline].split()
|
||||
indc = int( line[0] )
|
||||
errS = float( line[4] )
|
||||
#if( errS>eps ):
|
||||
#print( line )
|
||||
if( indc != iline ):
|
||||
print('Error in reading Ci_h_matrix_svd')
|
||||
stop
|
||||
else:
|
||||
#Ci_h_matrix_svd[indc-1] = float( line[2] )
|
||||
irow = indc % n_svd
|
||||
icol = indc // n_svd
|
||||
if( irow!=0 ):
|
||||
Ci_h_matrix_svd[irow-1][icol] = float( line[2] )
|
||||
else:
|
||||
Ci_h_matrix_svd[n_svd-1][icol-1] = float( line[2] )
|
||||
# !!!
|
||||
# !!!
|
||||
# Ci_h_matrix_svd = np.reshape(Ci_h_matrix_svd, (n_svd, n_svd), order='F')
|
||||
# !!!
|
||||
return(Ci_h_matrix_svd)
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def get_Ci_overlap_matrix_svd():
|
||||
# !!!
|
||||
Ci_overlap_matrix_svd = np.zeros( (n_svd,n_svd) )
|
||||
# !!!
|
||||
beg_Ci_overlap_matrix_svd = results.find('Ci_overlap_matrix_svd : [ ') + len( 'Ci_overlap_matrix_svd : [ ' )
|
||||
end_Ci_overlap_matrix_svd = len(results)
|
||||
Ci_overlap_matrix_svd_buf = results[beg_Ci_overlap_matrix_svd:end_Ci_overlap_matrix_svd]
|
||||
Ci_overlap_matrix_svd_buf = Ci_overlap_matrix_svd_buf.split( '\n' )
|
||||
# !!!
|
||||
for iline in range(1, n_svd**2+1):
|
||||
# !!!
|
||||
line = Ci_overlap_matrix_svd_buf[iline].split()
|
||||
indc = int( line[0] )
|
||||
# !!!
|
||||
errS = float( line[4] )
|
||||
#if( errS>eps ):
|
||||
#print( line )
|
||||
if( indc != iline ):
|
||||
print('Error in reading Ci_overlap_matrix_svd')
|
||||
stop
|
||||
# !!!
|
||||
# !!!
|
||||
else:
|
||||
#Ci_overlap_matrix_svd[indc-1] = float( line[2] )
|
||||
irow = indc % n_svd
|
||||
icol = indc // n_svd
|
||||
if( irow!=0 ):
|
||||
Ci_overlap_matrix_svd[irow-1][icol] = float( line[2] )
|
||||
else:
|
||||
Ci_overlap_matrix_svd[n_svd-1][icol-1] = float( line[2] )
|
||||
# !!!
|
||||
# !!!
|
||||
# !!!
|
||||
#Ci_overlap_matrix_svd = np.reshape(Ci_overlap_matrix_svd, (n_svd, n_svd), order='F')
|
||||
# !!!
|
||||
return(Ci_overlap_matrix_svd)
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def get_Ci_h_matrix_postsvd():
|
||||
#file = open('verif_order.txt','w')
|
||||
# !!!
|
||||
Ci_h_matrix_postsvd = np.zeros( (n_svd*n_svd , n_svd*n_svd) )
|
||||
# !!!
|
||||
beg_Ci_h_matrix_postsvd = results.find('Ci_h_matrix_postsvd : [ ') + len( 'Ci_h_matrix_postsvd : [ ' )
|
||||
end_Ci_h_matrix_postsvd = len(results)
|
||||
Ci_h_matrix_postsvd_buf = results[beg_Ci_h_matrix_postsvd:end_Ci_h_matrix_postsvd]
|
||||
Ci_h_matrix_postsvd_buf = Ci_h_matrix_postsvd_buf.split( '\n' )
|
||||
# !!!
|
||||
for iline in range(1, n_svd**4+1):
|
||||
# !!!
|
||||
line = Ci_h_matrix_postsvd_buf[iline].split()
|
||||
indc = int( line[0] )
|
||||
errS = float( line[4] )
|
||||
#if( errS>eps ):
|
||||
#print( line )
|
||||
if( indc != iline ):
|
||||
print('Error in reading Ci_h_matrix_postsvd')
|
||||
stop
|
||||
else:
|
||||
# !!!
|
||||
kp = indc % n_svd
|
||||
if( ( indc % n_svd ) !=0 ):
|
||||
kp = indc % n_svd
|
||||
else:
|
||||
kp = n_svd
|
||||
indc1 = int( ( indc - kp ) / n_svd )
|
||||
k = indc1 % n_svd + 1
|
||||
indc2 = int( ( indc1 - (k-1) ) / n_svd )
|
||||
lp = indc2 % n_svd + 1
|
||||
l = int( ( indc2 - (lp-1) ) / n_svd ) + 1
|
||||
# !!!
|
||||
#indcrep = kp + (k-1)*n_svd + (lp-1)*n_svd**2 + (l-1)*n_svd**3
|
||||
#file.write( '{:5} {:5} {:5} {:5} {:5} {:5} \n'.format(indc, indc-indcrep, kp, k, lp, l ) )
|
||||
# !!!
|
||||
irow = kp + (k-1)*n_svd - 1
|
||||
icol = lp + (l-1)*n_svd - 1
|
||||
Ci_h_matrix_postsvd[irow][icol] = float( line[2] )
|
||||
#Ci_h_matrix_postsvd[indc-1] = float( line[2] )
|
||||
# !!!
|
||||
#Ci_h_matrix_postsvd = np.reshape(Ci_h_matrix_postsvd, (n_svd*n_svd, n_svd*n_svd), order='F')
|
||||
# !!!
|
||||
#file.close()
|
||||
return(Ci_h_matrix_postsvd)
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def get_Ci_overlap_matrix_postsvd():
|
||||
# !!!
|
||||
Ci_overlap_matrix_postsvd = np.zeros( (n_svd*n_svd , n_svd*n_svd) )
|
||||
# !!!
|
||||
beg_Ci_overlap_matrix_postsvd = results.find('Ci_overlap_matrix_postsvd : [ ') + len( 'Ci_overlap_matrix_postsvd : [ ' )
|
||||
end_Ci_overlap_matrix_postsvd = len(results)
|
||||
Ci_overlap_matrix_postsvd_buf = results[beg_Ci_overlap_matrix_postsvd:end_Ci_overlap_matrix_postsvd]
|
||||
Ci_overlap_matrix_postsvd_buf = Ci_overlap_matrix_postsvd_buf.split( '\n' )
|
||||
# !!!
|
||||
for iline in range(1, n_svd**4+1):
|
||||
# !!!
|
||||
line = Ci_overlap_matrix_postsvd_buf[iline].split()
|
||||
indc = int( line[0] )
|
||||
errS = float( line[4] )
|
||||
#if( errS>eps ):
|
||||
#print( line )
|
||||
if( indc != iline ):
|
||||
print('Error in reading Ci_overlap_matrix_postsvd')
|
||||
stop
|
||||
else:
|
||||
# !!!
|
||||
kp = indc % n_svd
|
||||
if( ( indc % n_svd ) !=0 ):
|
||||
kp = indc % n_svd
|
||||
else:
|
||||
kp = n_svd
|
||||
indc1 = int( ( indc - kp ) / n_svd )
|
||||
k = indc1 % n_svd + 1
|
||||
indc2 = int( ( indc1 - (k-1) ) / n_svd )
|
||||
lp = indc2 % n_svd + 1
|
||||
l = int( ( indc2 - (lp-1) ) / n_svd ) + 1
|
||||
# !!!
|
||||
irow = kp + (k-1)*n_svd - 1
|
||||
icol = lp + (l-1)*n_svd - 1
|
||||
Ci_overlap_matrix_postsvd[irow][icol] = float( line[2] )
|
||||
#Ci_overlap_matrix_postsvd[indc-1] = float( line[2] )
|
||||
# !!!
|
||||
# !!!
|
||||
#Ci_overlap_matrix_postsvd = np.reshape(Ci_overlap_matrix_postsvd, (n_svd*n_svd, n_svd*n_svd), order='F')
|
||||
# !!!
|
||||
return(Ci_overlap_matrix_postsvd)
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def check_symmetric(a, tol=1e-3):
|
||||
return np.all(np.abs(a-a.T) < tol)
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def save_results_to_resultsQMC():
|
||||
file = open('resultsQMC.txt','a')
|
||||
file.write('\n \n \n')
|
||||
file.write('- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -\n \n')
|
||||
file.write("Today's date: {}\n".format(datetime.now()))
|
||||
file.write("EZFIO file = {}\n".format(EZFIO_file))
|
||||
file.write('\n')
|
||||
file.write( results )
|
||||
file.write('\n')
|
||||
file.write('+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +\n \n')
|
||||
file.close()
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def get_Esvd():
|
||||
# !!!
|
||||
# read CI_SVD matrices
|
||||
Ci_h_matrix_svd = get_Ci_h_matrix_svd()
|
||||
Ci_overlap_matrix_svd = get_Ci_overlap_matrix_svd()
|
||||
#print( 'Ci_h_matrix_svd is symmetric ? {}' .format(check_symmetric(Ci_h_matrix_svd)) )
|
||||
#print( 'Ci_overlap_matrix_svd is symmetric ? {}' .format(check_symmetric(Ci_overlap_matrix_svd)) )
|
||||
# !!!
|
||||
# symmetrise and diagonalise
|
||||
aa = Ci_h_matrix_svd
|
||||
aa = 0.5*( aa + aa.T )
|
||||
bb = Ci_overlap_matrix_svd
|
||||
eigvals_svd, vr = eig(aa, bb, left=False, right=True, overwrite_a=True, overwrite_b=True,
|
||||
check_finite=True, homogeneous_eigvals=False)
|
||||
#print( eigvals_svd + E_toadd )
|
||||
recouvre_svd = np.abs(psi_svd_coeff @ vr)
|
||||
ind_gssvd = np.argmax(recouvre_svd)
|
||||
# !!!
|
||||
E_svd = eigvals_svd[ind_gssvd] + E_toadd
|
||||
return( E_svd, vr[:,ind_gssvd] )
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def get_Epostsvd():
|
||||
# !!!
|
||||
# read CI_postSVD matrices
|
||||
Ci_h_matrix_postsvd = get_Ci_h_matrix_postsvd()
|
||||
Ci_overlap_matrix_postsvd = get_Ci_overlap_matrix_postsvd()
|
||||
#print( 'Ci_h_matrix_postsvd is symmetric ? {}' .format(check_symmetric(Ci_h_matrix_postsvd)) )
|
||||
#print( 'Ci_overlap_matrix_postsvd is symmetric ? {}' .format(check_symmetric(Ci_overlap_matrix_postsvd)) )
|
||||
# !!!
|
||||
# symmetrise and diagonalise
|
||||
aa = Ci_h_matrix_postsvd
|
||||
aa = 0.5*( aa + aa.T )
|
||||
bb = Ci_overlap_matrix_postsvd
|
||||
eigvals_postsvd, vr = eig(aa, bb, left=False, right=True, overwrite_a=True, overwrite_b=True,
|
||||
check_finite=True, homogeneous_eigvals=False)
|
||||
#print( eigvals_postsvd + E_toadd )
|
||||
d_postsvd = np.diagflat(psi_svd_coeff)
|
||||
d_postsvd = d_postsvd.reshape( (1,n_svd*n_svd) )
|
||||
recouvre_postsvd = np.abs(d_postsvd @ vr)
|
||||
ind_gspostsvd = np.argmax(recouvre_postsvd)
|
||||
#print(recouvre_postsvd, ind_gspostsvd)
|
||||
# !!!
|
||||
E_postsvd = eigvals_postsvd[ind_gspostsvd] + E_toadd
|
||||
# !!!
|
||||
return( E_postsvd, vr[:,ind_gspostsvd] )
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def SVD_postsvd(sigma_postsvd):
|
||||
# !!!
|
||||
print( 'performing new SVD for the post SVD eigenvector:' )
|
||||
# !!!
|
||||
#sigma_postsvd = sigma_postsvd.reshape( (n_svd,n_svd) )
|
||||
sigma_postsvd = sigma_postsvd.reshape( n_svd, n_svd, order='F' )
|
||||
#print( 'sigma_postsvd is symmetric ? {}' .format(check_symmetric(sigma_postsvd)) )
|
||||
# !!!
|
||||
# construct the new matrix Y
|
||||
Y = U_svd @ sigma_postsvd @ V_svd.T
|
||||
normY = np.linalg.norm(Y, ord='fro')
|
||||
# !!!
|
||||
# parameters of RSVD
|
||||
rank = n_svd
|
||||
npow = 10
|
||||
nb_oversamp = 10
|
||||
# !!!
|
||||
# call RSV
|
||||
U_postSVD, sigma_postsvd_diag, VT_postsvd = powit_RSVD(Y, rank, npow, nb_oversamp)
|
||||
# !!!
|
||||
# check precision
|
||||
Y_SVD = np.dot( U_postSVD , np.dot( np.diag(sigma_postsvd_diag) , VT_postsvd ) )
|
||||
energy = np.sum( np.square(sigma_postsvd_diag) ) / normY**2
|
||||
err_SVD = 100. * np.linalg.norm( Y - Y_SVD, ord="fro") / normY
|
||||
print('energy = {}, error = {}\n'.format(energy, err_SVD))
|
||||
# !!!
|
||||
return(U_postSVD, sigma_postsvd_diag, VT_postsvd)
|
||||
# !!!
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def get_recouv_svd():
|
||||
recouv_svd = np.abs( sigma0 @ sigma_svd )
|
||||
return( recouv_svd )
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def get_recouv_postsvd():
|
||||
d_postsvd = np.diagflat( sigma0 )
|
||||
d_postsvd = d_postsvd.reshape( (1, n_svd*n_svd) )
|
||||
recouv_postsvd = np.abs( d_postsvd @ sigma_postsvd )
|
||||
return( recouv_postsvd )
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def get_Hsvd_QP(Hsvd_qp_txt):
|
||||
Hsvd_qp = np.zeros( (n_svd,n_svd) )
|
||||
Hsvd_qp_file = open(Hsvd_qp_txt, 'r')
|
||||
for line in Hsvd_qp_file:
|
||||
line = line.split()
|
||||
i = int(line[0]) - 1
|
||||
j = int(line[1]) - 1
|
||||
Hsvd_qp[i,j] = float(line[2])
|
||||
return(Hsvd_qp)
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def get_Esvd_QP(Hsvd_qp):
|
||||
# !!!
|
||||
# symmetrise and diagonalise
|
||||
aa = Hsvd_qp
|
||||
aa = 0.5*( aa + aa.T )
|
||||
bb = np.identity(n_svd)
|
||||
eigvals_svd, vr = eig(aa, bb, left=False, right=True, overwrite_a=True, overwrite_b=True,
|
||||
check_finite=True, homogeneous_eigvals=False)
|
||||
recouvre_svd = np.abs(psi_svd_coeff @ vr)
|
||||
ind_gssvd = np.argmax(recouvre_svd)
|
||||
E_svd = eigvals_svd[ind_gssvd] + E_toadd
|
||||
return( E_svd, vr[:,ind_gssvd] )
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
t0 = time.time()
|
||||
# !!!
|
||||
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
|
||||
EZFIO_file = "/home/ammar/qp2/src/svdwf/h2o_QPsvd.ezfio"
|
||||
E_toadd = 9.194966082434476 #6.983610961797779
|
||||
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
|
||||
# !!!
|
||||
ezfio.set_file(EZFIO_file)
|
||||
n_svd = ezfio.get_spindeterminants_n_svd_coefs()
|
||||
psi_svd_coeff = np.array(ezfio.get_spindeterminants_psi_svd_coefs())
|
||||
U_svd = np.array(ezfio.get_spindeterminants_psi_svd_alpha())
|
||||
V_svd = np.array(ezfio.get_spindeterminants_psi_svd_beta())
|
||||
# !!!
|
||||
U_svd = U_svd[0,:,:].T
|
||||
V_svd = V_svd[0,:,:].T
|
||||
# !!!
|
||||
print("Today's date:", datetime.now() )
|
||||
print("EZFIO file = {}".format(EZFIO_file))
|
||||
print("nuclear energy = {}".format(E_toadd) )
|
||||
print("n_svd = {} \n".format(n_svd) )
|
||||
# !!!
|
||||
#set_vmc_params()
|
||||
#run_qmc()
|
||||
#print("start QMC:")
|
||||
#stop_qmc()
|
||||
# !!!
|
||||
print( 'getting QMCCHEM results from {}'.format(EZFIO_file) )
|
||||
results = subprocess.check_output(['qmcchem', 'result', EZFIO_file], encoding='UTF-8')
|
||||
# !!!
|
||||
E_loc, ErrEloc = get_energy()
|
||||
print('Eloc = {} +/- {}\n'.format(E_loc, ErrEloc))
|
||||
# !!!
|
||||
save_resultsQMC = input( 'save QMC results from {}? (y/n) '.format(EZFIO_file) )
|
||||
if( save_resultsQMC == 'y' ):
|
||||
print('saving in resultsQMC.txt')
|
||||
save_results_to_resultsQMC()
|
||||
print('\n')
|
||||
# !!!
|
||||
sigma0 = psi_svd_coeff
|
||||
# !!!
|
||||
read_QPsvd = input( 'read QP Hsvd matrix ? (y/n) ')
|
||||
if( read_QPsvd == 'y' ):
|
||||
Hsvd_qp_txt = input('name of file with QM H_svd matrix:')
|
||||
Hsvd_qp = get_Hsvd_QP(Hsvd_qp_txt)
|
||||
E_svd_QP, _ = get_Esvd_QP(Hsvd_qp)
|
||||
print('QP SVD enegry = {} \n'.format(E_svd_QP) )
|
||||
# !!!
|
||||
E_svd, sigma_svd = get_Esvd()
|
||||
recouv_svd = get_recouv_svd()
|
||||
print('QMC=CHEM SVD enegry = {} '.format(E_svd) )
|
||||
print('QMC=CHEM recouvrement SVD ={} \n'.format(recouv_svd) )
|
||||
# !!!
|
||||
E_postsvd, sigma_postsvd = get_Epostsvd()
|
||||
recouv_postsvd = get_recouv_postsvd()
|
||||
print('QMC=CHEM post SVD energy = {} '.format(E_postsvd) )
|
||||
print('QMC=CHEM recouvrement post SVD ={} \n'.format(recouv_postsvd) )
|
||||
# !!!
|
||||
save_to_EZFIO = input( "modify EZFIO (with svd or postsvd)? " )
|
||||
# !!!
|
||||
if( save_to_EZFIO == 'svd' ):
|
||||
sigma_SVD_toEZFIO = np.zeros( ( n_svd, 1) )
|
||||
sigma_SVD_toEZFIO[:,0] = sigma_svd
|
||||
ezfio.set_spindeterminants_psi_svd_coefs( sigma_SVD_toEZFIO )
|
||||
# !!!
|
||||
elif( save_to_EZFIO == 'postsvd' ):
|
||||
# SVD first
|
||||
U_postSVD, sigma_postsvd_diag, V_postSVD = SVD_postsvd(sigma_postsvd)
|
||||
V_postSVD = V_postSVD.T
|
||||
# save next in ezfio file
|
||||
sigma_postSVD_toEZFIO = np.zeros( ( n_svd, 1) )
|
||||
U_postSVD_toEZFIO = np.zeros( ( U_postSVD.shape[0], U_postSVD.shape[1], 1) )
|
||||
V_postSVD_toEZFIO = np.zeros( ( V_postSVD.shape[0], V_postSVD.shape[1], 1) )
|
||||
sigma_postSVD_toEZFIO[:,0] = sigma_postsvd_diag
|
||||
U_postSVD_toEZFIO[:,:,0] = U_postSVD
|
||||
V_postSVD_toEZFIO[:,:,0] = V_postSVD
|
||||
#
|
||||
ezfio.set_spindeterminants_psi_svd_alpha( U_postSVD_toEZFIO )
|
||||
ezfio.set_spindeterminants_psi_svd_coefs( sigma_postSVD_toEZFIO )
|
||||
ezfio.set_spindeterminants_psi_svd_beta( V_postSVD_toEZFIO )
|
||||
# !!!
|
||||
else:
|
||||
print("end after {:.3f} minutes".format((time.time()-t0)/60.) )
|
||||
exit()
|
||||
# !!!
|
||||
print("end after {:.3f} minutes".format((time.time()-t0)/60.) )
|
||||
# !!!
|
||||
# !!!
|
||||
|
||||
|
75
src/QMC_SVD/v1/save_svd.py
Normal file
75
src/QMC_SVD/v1/save_svd.py
Normal file
@ -0,0 +1,75 @@
|
||||
#!/usr/bin/env python3
|
||||
# !!!
|
||||
import sys, os
|
||||
QMCCHEM_PATH=os.environ["QMCCHEM_PATH"]
|
||||
sys.path.insert(0,QMCCHEM_PATH+"/EZFIO/Python/")
|
||||
# !!!
|
||||
from ezfio import ezfio
|
||||
from datetime import datetime
|
||||
import time
|
||||
|
||||
|
||||
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
|
||||
file_to_save = 'postsvd_1.txt'
|
||||
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
# !!!
|
||||
if input("are you sure you want before saving in {}? (y/n)".format(file_to_save)) != "y":
|
||||
exit()
|
||||
# !!!
|
||||
t0 = time.time()
|
||||
# !!!
|
||||
filename = "/home/ammar/qp2/src/svdwf/h2o_pseudo_1_postsvd"
|
||||
ezfio.set_file(filename)
|
||||
# !!!
|
||||
n_svd = ezfio.get_spindeterminants_n_svd_coefs()
|
||||
d_svd = ezfio.get_spindeterminants_psi_svd_coefs()
|
||||
u_svd = ezfio.get_spindeterminants_psi_svd_alpha()
|
||||
v_svd = ezfio.get_spindeterminants_psi_svd_beta()
|
||||
# !!!
|
||||
print("Today's date:", datetime.now() )
|
||||
print("EZFIO filename: {}".format(filename))
|
||||
# !!!
|
||||
file = open(file_to_save, 'a')
|
||||
#
|
||||
file.write('\n \n \n')
|
||||
file.write('- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -\n \n')
|
||||
file.write("Today's date: {}\n".format(datetime.now()) )
|
||||
file.write("EZFIO filename = {}\n".format(filename))
|
||||
file.write('- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -\n \n')
|
||||
#
|
||||
file.write('- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -\n \n')
|
||||
file.write( 'n_svd :')
|
||||
file.write( str(n_svd) )
|
||||
file.write('\n \n \n')
|
||||
file.write('- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -\n \n')
|
||||
#
|
||||
file.write('- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -\n \n')
|
||||
file.write( 'd_svd :')
|
||||
file.write( str(d_svd) )
|
||||
file.write('\n \n \n')
|
||||
file.write('- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -\n \n')
|
||||
#
|
||||
file.write('- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -\n \n')
|
||||
file.write( 'u_svd :')
|
||||
file.write( str(u_svd) )
|
||||
file.write('\n \n \n')
|
||||
file.write('- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -\n \n')
|
||||
#
|
||||
file.write('- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -\n \n')
|
||||
file.write( 'v_svd :')
|
||||
file.write( str(v_svd) )
|
||||
file.write('- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -\n \n')
|
||||
#
|
||||
file.write('\n')
|
||||
file.write('+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +\n \n')
|
||||
#
|
||||
file.close()
|
||||
# !!!
|
||||
print("SVD save in {} after {:.3f} minutes".format( file_to_save, (time.time()-t0)/60.) )
|
||||
# !!!
|
||||
# !!!
|
||||
|
||||
|
512
src/det.irp.f
512
src/det.irp.f
@ -1287,6 +1287,7 @@ END_PROVIDER
|
||||
|
||||
ddet = 0.d0
|
||||
|
||||
! n_to_do < 2*elec_alpha_num
|
||||
if (n_to_do < shiftl(elec_alpha_num,1)) then
|
||||
|
||||
do while ( n_to_do > 0 )
|
||||
@ -1350,6 +1351,7 @@ END_PROVIDER
|
||||
ASSERT (ddet /= 0.d0)
|
||||
|
||||
det_alpha_value_curr = ddet
|
||||
|
||||
END_PROVIDER
|
||||
|
||||
BEGIN_PROVIDER [ double precision, det_beta_value_curr ]
|
||||
@ -1677,8 +1679,8 @@ END_PROVIDER
|
||||
DaC = 0.d0
|
||||
CDb = 0.d0
|
||||
|
||||
if (det_num < shiftr(det_alpha_num*det_beta_num,2)) then
|
||||
|
||||
!if( det_num .ne. 1 ) then
|
||||
if( det_num < shiftr(det_alpha_num*det_beta_num,2)) then
|
||||
det_num4 = iand(det_num,not(3))
|
||||
!DIR$ VECTOR ALIGNED
|
||||
do k=1,det_num4,4
|
||||
@ -1696,7 +1698,6 @@ END_PROVIDER
|
||||
CDb(i2) = CDb(i2) + det_coef_matrix_values(k+1)*f
|
||||
CDb(i3) = CDb(i3) + det_coef_matrix_values(k+2)*f
|
||||
CDb(i4) = CDb(i4) + det_coef_matrix_values(k+3)*f
|
||||
|
||||
if ( ((i2-i1) == 1).and.((i3-i1) == 2).and.((i4-i1) == 3) ) then
|
||||
DaC(j1) = DaC(j1) + det_coef_matrix_values(k)*det_alpha_value(i1) &
|
||||
+ det_coef_matrix_values(k+1)*det_alpha_value(i1+1) &
|
||||
@ -1719,40 +1720,61 @@ END_PROVIDER
|
||||
CDb(i4) = CDb(i4) + det_coef_matrix_values(k+3)*det_beta_value (j4)
|
||||
endif
|
||||
enddo
|
||||
|
||||
do k=det_num4+1,det_num
|
||||
i = det_coef_matrix_rows(k)
|
||||
j = det_coef_matrix_columns(k)
|
||||
DaC(j) = DaC(j) + det_coef_matrix_values(k)*det_alpha_value(i)
|
||||
CDb(i) = CDb(i) + det_coef_matrix_values(k)*det_beta_value (j)
|
||||
enddo
|
||||
|
||||
else
|
||||
|
||||
! DaC(det_beta_num) = Trans( det_coef_matrix_dense(det_alpha_num,det_beta_num) )
|
||||
! @ det_alpha_value(det_alpha_num)
|
||||
call dgemv('T',det_alpha_num,det_beta_num,1.d0,det_coef_matrix_dense, &
|
||||
size(det_coef_matrix_dense,1), det_alpha_value, 1, 0.d0, DaC, 1)
|
||||
! CDb(det_alpha_num) = det_coef_matrix_dense(det_alpha_num,det_beta_num)
|
||||
! @ det_beta_value(det_beta_num)
|
||||
call dgemv('N',det_alpha_num,det_beta_num,1.d0,det_coef_matrix_dense, &
|
||||
size(det_coef_matrix_dense,1), det_beta_value, 1, 0.d0, CDb, 1)
|
||||
|
||||
endif
|
||||
!endif
|
||||
|
||||
|
||||
! Value
|
||||
! -----
|
||||
|
||||
psidet_value = 0.d0
|
||||
if(det_num .eq. 1) then
|
||||
psidet_value = det_alpha_value_curr * det_beta_value_curr
|
||||
else
|
||||
do j=1,det_beta_num
|
||||
psidet_value = psidet_value + det_beta_value(j) * DaC(j)
|
||||
enddo
|
||||
|
||||
endif
|
||||
|
||||
if (psidet_value == 0.d0) then
|
||||
call abrt(irp_here,'Determinantal component of the wave function is zero.')
|
||||
endif
|
||||
psidet_inv = 1.d0/psidet_value
|
||||
|
||||
|
||||
! Gradients
|
||||
! ---------
|
||||
|
||||
if(det_num .eq. 1) then
|
||||
do i = 1, elec_alpha_num
|
||||
psidet_grad_lapl(1,i) = det_alpha_grad_lapl_curr(1,i) * det_beta_value_curr
|
||||
psidet_grad_lapl(2,i) = det_alpha_grad_lapl_curr(2,i) * det_beta_value_curr
|
||||
psidet_grad_lapl(3,i) = det_alpha_grad_lapl_curr(3,i) * det_beta_value_curr
|
||||
psidet_grad_lapl(4,i) = det_alpha_grad_lapl_curr(4,i) * det_beta_value_curr
|
||||
enddo
|
||||
do i = elec_alpha_num+1, elec_num
|
||||
psidet_grad_lapl(1,i) = det_beta_grad_lapl_curr(1,i) * det_alpha_value_curr
|
||||
psidet_grad_lapl(2,i) = det_beta_grad_lapl_curr(2,i) * det_alpha_value_curr
|
||||
psidet_grad_lapl(3,i) = det_beta_grad_lapl_curr(3,i) * det_alpha_value_curr
|
||||
psidet_grad_lapl(4,i) = det_beta_grad_lapl_curr(4,i) * det_alpha_value_curr
|
||||
enddo
|
||||
else
|
||||
! psidet_grad_lapl(4,elec_alpha_num) =
|
||||
! det_alpha_grad_lapl(4,elec_alpha_num,det_alpha_num) @ CDb(det_alpha_num)
|
||||
call dgemv('N',elec_alpha_num*4,det_alpha_num,1.d0, &
|
||||
det_alpha_grad_lapl, &
|
||||
size(det_alpha_grad_lapl,1)*size(det_alpha_grad_lapl,2), &
|
||||
@ -1763,6 +1785,8 @@ END_PROVIDER
|
||||
size(det_beta_grad_lapl,1)*size(det_beta_grad_lapl,2), &
|
||||
DaC, 1, 0.d0, psidet_grad_lapl(1,elec_alpha_num+1), 1)
|
||||
endif
|
||||
endif
|
||||
|
||||
|
||||
if (do_pseudo) then
|
||||
call dgemv('N',elec_alpha_num,det_alpha_num,psidet_inv, &
|
||||
@ -1777,6 +1801,467 @@ END_PROVIDER
|
||||
|
||||
END_PROVIDER
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
|
||||
! ~ ~~ ~ ~~ ~ ~~ ~ ~~ ~ ~~ ~ ~~ ~ ~~ ~ ~~ ~ ~~ ~ ~~ ~ ~~ ~ ~~ ~ ~~ ~ ~~ ~ ~~ ~ ~~ ~ ~~ ~ ~~ ~ ~~ ~ ~~ ~
|
||||
|
||||
BEGIN_PROVIDER [ integer, n_svd_coefs_unique ]
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! !!!
|
||||
! rank of Full SVD
|
||||
END_DOC
|
||||
call get_spindeterminants_n_svd_coefs_unique(n_svd_coefs_unique)
|
||||
END_PROVIDER
|
||||
|
||||
BEGIN_PROVIDER [ double precision, psi_svd_coefs_unique, ( n_svd_coefs_unique, n_states) ]
|
||||
&BEGIN_PROVIDER [ double precision, psi_svd_alpha_unique, (det_alpha_num, n_svd_coefs_unique, n_states) ]
|
||||
&BEGIN_PROVIDER [ double precision, psi_svd_beta_unique , (det_beta_num , n_svd_coefs_unique, n_states) ]
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! Full SVD:
|
||||
! SVD coeff unique
|
||||
! SVD U unique
|
||||
! SVD Vt unique
|
||||
END_DOC
|
||||
call get_spindeterminants_psi_svd_coefs_unique(psi_svd_coefs_unique)
|
||||
call get_spindeterminants_psi_svd_alpha_unique(psi_svd_alpha_unique)
|
||||
call get_spindeterminants_psi_svd_beta_unique (psi_svd_beta_unique )
|
||||
END_PROVIDER
|
||||
|
||||
|
||||
BEGIN_PROVIDER [ double precision, det_alpha_value_SVD_unique, ( n_svd_coefs_unique) ]
|
||||
&BEGIN_PROVIDER [ double precision, det_beta_value_SVD_unique , ( n_svd_coefs_unique) ]
|
||||
&BEGIN_PROVIDER [ double precision, det_alpha_grad_lapl_SVD_unique, (4, elec_alpha_num , n_svd_coefs_unique) ]
|
||||
&BEGIN_PROVIDER [ double precision, det_beta_grad_lapl_SVD_unique , (4, elec_alpha_num+1:elec_num, n_svd_coefs_unique) ]
|
||||
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! !!!
|
||||
END_DOC
|
||||
|
||||
integer :: mm
|
||||
integer, save :: ifirst = 0
|
||||
if (ifirst == 0) then
|
||||
ifirst = 1
|
||||
det_alpha_value_SVD_unique = 0.d0
|
||||
det_beta_value_SVD_unique = 0.d0
|
||||
det_alpha_grad_lapl_SVD_unique = 0.d0
|
||||
det_beta_grad_lapl_SVD_unique = 0.d0
|
||||
endif
|
||||
|
||||
! det_alpha_value_SVD_unique = psi_svd_alpha_unique.T @ det_alpha_value
|
||||
call dgemv('T', det_alpha_num, n_svd_coefs_unique &
|
||||
, 1.d0, psi_svd_alpha_unique(:,:,1), size(psi_svd_alpha_unique,1), det_alpha_value, 1 &
|
||||
, 0.d0, det_alpha_value_SVD_unique, 1)
|
||||
|
||||
! det_beta_value_SVD_unique = psi_svd_beta_unique.T @ det_beta_value
|
||||
call dgemv('T', det_beta_num, n_svd_coefs_unique &
|
||||
, 1.d0, psi_svd_beta_unique(:,:,1), size(psi_svd_beta_unique,1), det_beta_value, 1 &
|
||||
, 0.d0, det_beta_value_SVD_unique, 1)
|
||||
|
||||
call dgemm('N', 'N', 4*elec_alpha_num, n_svd_coefs_unique, det_alpha_num, 1.d0 &
|
||||
, det_alpha_grad_lapl, 4*size(det_alpha_grad_lapl,2) &
|
||||
, psi_svd_alpha_unique, size(psi_svd_alpha_unique,1) &
|
||||
, 0.d0, det_alpha_grad_lapl_SVD_unique, 4*size(det_alpha_grad_lapl_SVD_unique,2) )
|
||||
if (elec_beta_num /= 0) then
|
||||
call dgemm('N', 'N', 4*elec_beta_num, n_svd_coefs_unique, det_beta_num, 1.d0 &
|
||||
, det_beta_grad_lapl, 4*size(det_beta_grad_lapl,2) &
|
||||
, psi_svd_beta_unique, size(psi_svd_beta_unique,1) &
|
||||
, 0.d0, det_beta_grad_lapl_SVD_unique, 4*size(det_beta_grad_lapl_SVD_unique,2) )
|
||||
endif
|
||||
|
||||
END_PROVIDER
|
||||
|
||||
|
||||
BEGIN_PROVIDER [ logical, utilise_SVD ]
|
||||
&BEGIN_PROVIDER [ integer, n_svd_coefs ]
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! truncated SVD rank
|
||||
END_DOC
|
||||
n_svd_coefs = -1
|
||||
call get_spindeterminants_n_svd_coefs(n_svd_coefs)
|
||||
utilise_SVD = n_svd_coefs > 0
|
||||
if (.not.utilise_SVD) then
|
||||
n_svd_coefs = 1
|
||||
endif
|
||||
END_PROVIDER
|
||||
|
||||
BEGIN_PROVIDER [ integer, n_svd_coefs2 ]
|
||||
&BEGIN_PROVIDER [ integer, n_svd_coefs3 ]
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! square and cube of n_svd_coefs
|
||||
END_DOC
|
||||
n_svd_coefs2 = n_svd_coefs * n_svd_coefs
|
||||
n_svd_coefs3 = n_svd_coefs * n_svd_coefs * n_svd_coefs
|
||||
END_PROVIDER
|
||||
|
||||
|
||||
BEGIN_PROVIDER [ double precision, psi_svd_coefs, ( n_svd_coefs, n_states) ]
|
||||
&BEGIN_PROVIDER [ double precision, psi_svd_alpha, (det_alpha_num, n_svd_coefs, n_states) ]
|
||||
&BEGIN_PROVIDER [ double precision, psi_svd_beta , (det_beta_num , n_svd_coefs, n_states) ]
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! !!!
|
||||
! truncated SVD
|
||||
END_DOC
|
||||
integer :: l
|
||||
!do l = 1, n_svd_coefs
|
||||
! psi_svd_coefs(l,1) = psi_svd_coefs_unique(l,1)
|
||||
! psi_svd_alpha(:,l,1) = psi_svd_alpha_unique(:,l,1)
|
||||
! psi_svd_beta (:,l,1) = psi_svd_beta_unique (:,l,1)
|
||||
!enddo
|
||||
call get_spindeterminants_psi_svd_coefs(psi_svd_coefs)
|
||||
call get_spindeterminants_psi_svd_alpha(psi_svd_alpha)
|
||||
call get_spindeterminants_psi_svd_beta (psi_svd_beta )
|
||||
END_PROVIDER
|
||||
|
||||
|
||||
BEGIN_PROVIDER [ double precision, det_alpha_value_SVD, (n_svd_coefs) ]
|
||||
&BEGIN_PROVIDER [ double precision, det_beta_value_SVD , (n_svd_coefs) ]
|
||||
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! !!!
|
||||
! D_alpha_SVD_{k} = sum_i U_{i,k} D_alpha_{i}
|
||||
! D_beta_SVD_{k } = sum_j V_{j,k} D_beta_{j }
|
||||
! !!!
|
||||
END_DOC
|
||||
|
||||
integer, save :: ifirst = 0
|
||||
if (ifirst == 0) then
|
||||
ifirst = 1
|
||||
det_alpha_value_SVD = 0.d0
|
||||
det_beta_value_SVD = 0.d0
|
||||
endif
|
||||
|
||||
! -~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~
|
||||
! !!!
|
||||
! det_alpha_value_SVD = psi_svd_alpha.T @ det_alpha_value
|
||||
call dgemv('T', det_alpha_num, n_svd_coefs &
|
||||
, 1.d0, psi_svd_alpha(:,:,1), size(psi_svd_alpha,1), det_alpha_value, 1 &
|
||||
, 0.d0, det_alpha_value_SVD, 1)
|
||||
! !!!
|
||||
! det_beta_value_SVD = psi_svd_beta.T @ det_beta_value
|
||||
call dgemv('T', det_beta_num, n_svd_coefs &
|
||||
, 1.d0, psi_svd_beta(:,:,1), size(psi_svd_beta,1), det_beta_value, 1 &
|
||||
, 0.d0, det_beta_value_SVD, 1)
|
||||
! !!!
|
||||
! -~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~
|
||||
|
||||
!do l = 1, n_svd_coefs
|
||||
! tmp = 0.d0
|
||||
! do ii = 1, det_alpha_num
|
||||
! tmp = tmp + psi_svd_alpha(ii,l,1) * det_alpha_value(ii)
|
||||
! enddo
|
||||
! det_alpha_value_SVD(l) = tmp
|
||||
! tmp = 0.d0
|
||||
! do jj = 1, det_beta_num
|
||||
! tmp = tmp + psi_svd_beta(jj,l,1) * det_beta_value(jj)
|
||||
! enddo
|
||||
! det_beta_value_SVD(l) = tmp
|
||||
!enddo
|
||||
|
||||
END_PROVIDER
|
||||
|
||||
|
||||
BEGIN_PROVIDER [ double precision, psidet_value_SVD ]
|
||||
&BEGIN_PROVIDER [ double precision, psidet_inv_SVD ]
|
||||
&BEGIN_PROVIDER [ double precision, det_alpha_pseudo_SVD, (elec_alpha_num, n_svd_coefs) ]
|
||||
&BEGIN_PROVIDER [ double precision, det_beta_pseudo_SVD, (elec_alpha_num+1:elec_num, n_svd_coefs) ]
|
||||
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! !!!
|
||||
END_DOC
|
||||
|
||||
integer :: l
|
||||
integer, save :: ifirst = 0
|
||||
if (ifirst == 0) then
|
||||
ifirst = 1
|
||||
det_alpha_pseudo_SVD = 0.d0
|
||||
det_beta_pseudo_SVD = 0.d0
|
||||
endif
|
||||
|
||||
! -~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~
|
||||
! !!!
|
||||
psidet_value_SVD = 0.d0
|
||||
do l = 1, n_svd_coefs
|
||||
psidet_value_SVD = psidet_value_SVD + det_beta_value_SVD(l) &
|
||||
* psi_svd_coefs(l,1) * det_alpha_value_SVD(l)
|
||||
enddo
|
||||
if (psidet_value_SVD == 0.d0) then
|
||||
call abrt(irp_here,'Determinantal component of the SVD wave function is zero.')
|
||||
endif
|
||||
psidet_inv_SVD = 1.d0 / psidet_value_SVD
|
||||
! !!!
|
||||
! -~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~
|
||||
|
||||
! -~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~
|
||||
! !!!
|
||||
if (do_pseudo) then
|
||||
! det_alpha_pseudo_SVD = det_alpha_pseudo @ psi_svd_alpha * psidet_inv_SVD
|
||||
call dgemm('N', 'N', 4*elec_alpha_num, n_svd_coefs , det_alpha_num, psidet_inv_SVD &
|
||||
, det_alpha_pseudo, size(det_alpha_pseudo,1), psi_svd_alpha(1,1,1) &
|
||||
, size(psi_svd_alpha,1), 0.d0, det_alpha_pseudo_SVD, size(det_alpha_pseudo_SVD,1) )
|
||||
! !!!
|
||||
if (elec_beta_num /= 0) then
|
||||
! det_beta_pseudo_SVD = det_beta_pseudo @ psi_svd_beta * psidet_inv_SVD
|
||||
call dgemm('N', 'N', 4*elec_beta_num, n_svd_coefs , det_beta_num, psidet_inv_SVD &
|
||||
, det_beta_pseudo(elec_alpha_num+1,1), size(det_beta_pseudo,1) &
|
||||
, psi_svd_beta(1,1,1), size(psi_svd_beta,1) &
|
||||
, 0.d0, det_beta_pseudo_SVD(elec_alpha_num+1,1), size(det_beta_pseudo_SVD,1) )
|
||||
endif
|
||||
endif
|
||||
! !!!
|
||||
! -~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~
|
||||
|
||||
!do l = 1, n_svd_coefs
|
||||
! do ee = 1, elec_alpha_num
|
||||
! tmp = 0.d0
|
||||
! do ii = 1, det_alpha_num
|
||||
! tmp = tmp + psi_svd_alpha(ii,l,1) * det_alpha_pseudo(ee,ii)
|
||||
! enddo
|
||||
! det_alpha_pseudo_SVD(ee,l) = tmp
|
||||
! enddo
|
||||
! do ee = elec_alpha_num+1, elec_num
|
||||
! tmp = 0.d0
|
||||
! do jj = 1, det_beta_num
|
||||
! tmp = tmp + psi_svd_beta(jj,l,1) * det_beta_pseudo(ee,jj)
|
||||
! enddo
|
||||
! det_beta_pseudo_SVD(ee,l) = tmp
|
||||
! enddo
|
||||
!enddo
|
||||
|
||||
|
||||
END_PROVIDER
|
||||
|
||||
|
||||
BEGIN_PROVIDER [ double precision, det_alpha_grad_lapl_SVD, (4, elec_alpha_num , n_svd_coefs) ]
|
||||
&BEGIN_PROVIDER [ double precision, det_beta_grad_lapl_SVD , (4, elec_alpha_num+1:elec_num, n_svd_coefs) ]
|
||||
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! !!!
|
||||
! det_alpha_grad_lapl_SVD_{k} = sum_i U_{i,k} det_alpha_grad_lapl_{i}
|
||||
! det_beta_grad_lapl_SVD_{k } = sum_j V_{j,k} det_beta_grad_lapl_{j }
|
||||
! !!!
|
||||
END_DOC
|
||||
|
||||
integer :: mm
|
||||
integer, save :: ifirst = 0
|
||||
if (ifirst == 0) then
|
||||
ifirst = 1
|
||||
det_alpha_grad_lapl_SVD = 0.d0
|
||||
det_beta_grad_lapl_SVD = 0.d0
|
||||
endif
|
||||
|
||||
! -~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~
|
||||
! !!!
|
||||
call dgemm('N', 'N', 4*elec_alpha_num, n_svd_coefs, det_alpha_num, 1.d0 &
|
||||
, det_alpha_grad_lapl, 4*size(det_alpha_grad_lapl,2) &
|
||||
, psi_svd_alpha, size(psi_svd_alpha,1) &
|
||||
, 0.d0, det_alpha_grad_lapl_SVD, 4*size(det_alpha_grad_lapl_SVD,2) )
|
||||
! !!!
|
||||
if (elec_beta_num /= 0) then
|
||||
call dgemm('N', 'N', 4*elec_beta_num, n_svd_coefs, det_beta_num, 1.d0 &
|
||||
, det_beta_grad_lapl, 4*size(det_beta_grad_lapl,2) &
|
||||
, psi_svd_beta, size(psi_svd_beta,1) &
|
||||
, 0.d0, det_beta_grad_lapl_SVD, 4*size(det_beta_grad_lapl_SVD,2) )
|
||||
endif
|
||||
! !!!
|
||||
! -~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~
|
||||
|
||||
!do l = 1, n_svd_coefs
|
||||
! do mm = 1, 4
|
||||
! do ee = 1, elec_alpha_num
|
||||
! tmp = 0.d0
|
||||
! do ii = 1, det_alpha_num
|
||||
! tmp = tmp + psi_svd_alpha(ii,l,1) * det_alpha_grad_lapl(mm,ee,ii)
|
||||
! enddo
|
||||
! det_alpha_grad_lapl_SVD(mm,ee,l) = tmp
|
||||
! enddo
|
||||
! do ee = elec_alpha_num+1, elec_num
|
||||
! tmp = 0.d0
|
||||
! do jj = 1, det_beta_num
|
||||
! tmp = tmp + psi_svd_beta(jj,l,1) * det_beta_grad_lapl(mm,ee,jj)
|
||||
! enddo
|
||||
! det_beta_grad_lapl_SVD(mm,ee,l) = tmp
|
||||
! enddo
|
||||
! enddo
|
||||
!enddo
|
||||
|
||||
END_PROVIDER
|
||||
|
||||
|
||||
BEGIN_PROVIDER [ double precision, psidet_grad_lapl_SVD, (4,elec_num) ]
|
||||
&BEGIN_PROVIDER [ double precision, pseudo_non_local_SVD, (elec_num) ]
|
||||
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! !!!
|
||||
! Sigma is diagonal matrix: Sigma = psi_svd_coefs
|
||||
! !!!
|
||||
! Gradient of the determinantal part of the wave function after SVD
|
||||
! Laplacian of determinantal part of the wave function after SVD
|
||||
! Non-local component of the pseudopotentials after SVD
|
||||
! !!!
|
||||
! for each electron:
|
||||
! for mm = 1, 2, 3 : grad_x Psi, grad_y Psi, grad_z Psi
|
||||
! for mm = 4: first term (only) of Laplacian Psi
|
||||
! !!!
|
||||
END_DOC
|
||||
|
||||
integer :: l, mm, ee
|
||||
integer, save :: ifirst=0
|
||||
double precision :: tmp
|
||||
if (ifirst == 0) then
|
||||
ifirst = 1
|
||||
psidet_grad_lapl_SVD = 0.d0
|
||||
pseudo_non_local_SVD = 0.d0
|
||||
endif
|
||||
|
||||
|
||||
! -~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~
|
||||
! !!!
|
||||
do mm = 1, 4
|
||||
! !!!
|
||||
do ee = 1, elec_alpha_num
|
||||
tmp = 0.d0
|
||||
do l = 1, n_svd_coefs
|
||||
tmp = tmp + det_alpha_grad_lapl_SVD(mm,ee,l) * psi_svd_coefs(l,1) &
|
||||
* det_beta_value_SVD(l)
|
||||
enddo
|
||||
psidet_grad_lapl_SVD(mm,ee) = tmp
|
||||
enddo
|
||||
! !!!
|
||||
if (elec_beta_num /= 0) then
|
||||
do ee = elec_alpha_num+1, elec_num
|
||||
tmp = 0.d0
|
||||
do l = 1, n_svd_coefs
|
||||
tmp = tmp + det_alpha_value_SVD(l) * psi_svd_coefs(l,1) &
|
||||
* det_beta_grad_lapl_SVD(mm,ee,l)
|
||||
enddo
|
||||
psidet_grad_lapl_SVD(mm,ee) = tmp
|
||||
enddo
|
||||
endif
|
||||
! !!!
|
||||
enddo
|
||||
! !!!
|
||||
! -~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~
|
||||
|
||||
! -~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~
|
||||
! !!!
|
||||
if (do_pseudo) then
|
||||
! !!!
|
||||
do ee = 1, elec_alpha_num
|
||||
tmp = 0.d0
|
||||
do l = 1, n_svd_coefs
|
||||
tmp = tmp + det_alpha_pseudo_SVD(ee,l) * psi_svd_coefs(l,1) * det_beta_value_SVD(l)
|
||||
enddo
|
||||
pseudo_non_local_SVD(ee) = tmp * psidet_inv_SVD
|
||||
enddo
|
||||
! !!!
|
||||
if (elec_beta_num /= 0) then
|
||||
do ee = elec_alpha_num+1, elec_num
|
||||
tmp = 0.d0
|
||||
do l = 1, n_svd_coefs
|
||||
tmp = tmp + det_alpha_value_SVD(l) * psi_svd_coefs(l,1) * det_beta_pseudo_SVD(ee,l)
|
||||
enddo
|
||||
pseudo_non_local_SVD(ee) = tmp * psidet_inv_SVD
|
||||
enddo
|
||||
endif
|
||||
! !!!
|
||||
endif
|
||||
! !!!
|
||||
! -~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~
|
||||
|
||||
END_PROVIDER
|
||||
|
||||
|
||||
|
||||
|
||||
! ~ ~~ ~ ~~ ~ ~~ ~ ~~ ~ ~~ ~ ~~ ~ ~~ ~ ~~ ~ ~~ ~ ~~ ~ ~~ ~ ~~ ~ ~~ ~ ~~ ~ ~~ ~ ~~ ~ ~~ ~ ~~ ~ ~~ ~ ~~ ~
|
||||
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
!____________________________________________________________________________________________________________________
|
||||
|
||||
|
||||
|
||||
BEGIN_PROVIDER [ integer, n_svd_selected ]
|
||||
&BEGIN_PROVIDER [ integer, n_svd_toselect ]
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! !!!
|
||||
! n_svd_selected : rank of selected space ( ~ n_svd x n_svd )
|
||||
! n_svd_toselect : rank space to select from ( ~ na x nb - n_svd x n_svd_toselect )
|
||||
! !!!
|
||||
END_DOC
|
||||
call get_spindeterminants_n_svd_selected(n_svd_selected)
|
||||
call get_spindeterminants_n_svd_toselect(n_svd_toselect)
|
||||
END_PROVIDER
|
||||
|
||||
BEGIN_PROVIDER [ integer, psi_svd_alpha_numselected, (n_svd_selected , n_states) ]
|
||||
&BEGIN_PROVIDER [ integer, psi_svd_beta_numselected , (n_svd_coefs , n_states) ]
|
||||
&BEGIN_PROVIDER [ integer, psi_svd_alpha_numtoselect, (n_svd_toselect, n_states) ]
|
||||
&BEGIN_PROVIDER [ integer, psi_svd_beta_numtoselect , (n_svd_toselect, n_states) ]
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! !!!
|
||||
! pairs of integers indicating the number of the vectors U and V
|
||||
! !!!
|
||||
END_DOC
|
||||
call get_spindeterminants_psi_svd_alpha_numselected(psi_svd_alpha_numselected)
|
||||
call get_spindeterminants_psi_svd_beta_numselected (psi_svd_beta_numselected )
|
||||
call get_spindeterminants_psi_svd_alpha_numtoselect(psi_svd_alpha_numtoselect)
|
||||
call get_spindeterminants_psi_svd_beta_numtoselect (psi_svd_beta_numtoselect )
|
||||
END_PROVIDER
|
||||
|
||||
! BEGIN_PROVIDER [ double precision, psi_svd_alpha_toselect, (det_alpha_num, n_svd_toselect, n_states) ]
|
||||
!&BEGIN_PROVIDER [ double precision, psi_svd_beta_toselect , (det_beta_num , n_svd_toselect, n_states) ]
|
||||
! implicit none
|
||||
! BEGIN_DOC
|
||||
! ! !!!
|
||||
! ! pair of | u_i v_j > to select from SVD
|
||||
! ! !!!
|
||||
! END_DOC
|
||||
! integer :: l, i, j
|
||||
! do l = 1, n_svd_toselect
|
||||
! i = psi_svd_alpha_numtoselect(l,1)
|
||||
! j = psi_svd_beta_numtoselect (l,1)
|
||||
! psi_svd_alpha_toselect(:,l,1) = psi_svd_alpha_unique(:,i,1)
|
||||
! psi_svd_beta_toselect (:,l,1) = psi_svd_beta_unique (:,j,1)
|
||||
! enddo
|
||||
! END_PROVIDER
|
||||
|
||||
!____________________________________________________________________________________________________________________
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
BEGIN_PROVIDER [ double precision, det_alpha_pseudo_curr, (elec_alpha_num) ]
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
@ -1856,7 +2341,8 @@ BEGIN_PROVIDER [ double precision, det_alpha_grad_lapl_curr, (4,elec_alpha_num)
|
||||
! imo = mo_list_alpha_curr(j)
|
||||
! do i=1,elec_alpha_num
|
||||
! do k=1,4
|
||||
! det_alpha_grad_lapl_curr(k,i) = det_alpha_grad_lapl_curr(k,i) + mo_grad_lapl_alpha(k,i,imo)*slater_matrix_alpha_inv_det(i,j)
|
||||
! det_alpha_grad_lapl_curr(k,i) = det_alpha_grad_lapl_curr(k,i) + &
|
||||
! mo_grad_lapl_alpha(k,i,imo)*slater_matrix_alpha_inv_det(i,j)
|
||||
! enddo
|
||||
! enddo
|
||||
! enddo
|
||||
@ -2037,3 +2523,9 @@ END_PROVIDER
|
||||
enddo
|
||||
END_PROVIDER
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
@ -48,7 +48,20 @@ data = [ \
|
||||
("simulation_e_trial" , "double precision" , "" ),
|
||||
("simulation_do_run" , "logical " , "" ),
|
||||
("pseudo_do_pseudo" , "logical " , "" ),
|
||||
|
||||
("spindeterminants_n_svd_coefs_unique", "integer", ""),
|
||||
("spindeterminants_n_svd_coefs" , "integer", ""),
|
||||
("spindeterminants_n_svd_selected" , "integer", ""),
|
||||
("spindeterminants_n_svd_toselect" , "integer", ""),
|
||||
("spindeterminants_psi_svd_alpha_unique", "double precision", "(det_alpha_num,n_svd_coefs_unique,n_states)"),
|
||||
("spindeterminants_psi_svd_beta_unique" , "double precision", "(det_beta_num,n_svd_coefs_unique,n_states)"),
|
||||
("spindeterminants_psi_svd_coefs_unique", "double precision", "(n_svd_coefs_unique,n_states)"),
|
||||
("spindeterminants_psi_svd_alpha", "double precision", "(det_alpha_num,n_svd_coefs,n_states)"),
|
||||
("spindeterminants_psi_svd_beta" , "double precision", "(det_beta_num,n_svd_coefs,n_states)"),
|
||||
("spindeterminants_psi_svd_coefs", "double precision", "(n_svd_coefs,n_states)"),
|
||||
("spindeterminants_psi_svd_alpha_numselected" , "integer", "(n_svd_selected,n_states)"),
|
||||
("spindeterminants_psi_svd_beta_numselected" , "integer", "(n_svd_selected,n_states)"),
|
||||
("spindeterminants_psi_svd_alpha_numtoselect" , "integer", "(n_svd_toselect,n_states)"),
|
||||
("spindeterminants_psi_svd_beta_numtoselect" , "integer", "(n_svd_toselect,n_states)"),
|
||||
]
|
||||
|
||||
data_no_set = [\
|
||||
|
253
src/opt_Jast/opt_jast.py
Normal file
253
src/opt_Jast/opt_jast.py
Normal file
@ -0,0 +1,253 @@
|
||||
#!/usr/bin/env python3
|
||||
|
||||
import sys, os
|
||||
QMCCHEM_PATH=os.environ["QMCCHEM_PATH"]
|
||||
sys.path.insert(0,QMCCHEM_PATH+"/EZFIO/Python/")
|
||||
from ezfio import ezfio
|
||||
from datetime import datetime
|
||||
import time
|
||||
import numpy as np
|
||||
import subprocess
|
||||
import atexit
|
||||
import scipy as sp
|
||||
import scipy.optimize
|
||||
from math import sqrt
|
||||
|
||||
#------------------------------------------------------------------------------
|
||||
def make_atom_map():
|
||||
labels = {}
|
||||
dimension = 0
|
||||
# i: label of nuclei
|
||||
# k: counter of nuclei
|
||||
for i,k in enumerate(ezfio.nuclei_nucl_label):
|
||||
if k in labels:
|
||||
labels[k].append(i)
|
||||
else:
|
||||
labels[k] = [dimension, i]
|
||||
dimension += 1
|
||||
atom_map = [[] for i in range(dimension)]
|
||||
for atom in labels.keys():
|
||||
l = labels[atom]
|
||||
atom_map[l[0]] = l[1:]
|
||||
return atom_map
|
||||
#------------------------------------------------------------------------------
|
||||
##
|
||||
###
|
||||
##
|
||||
#------------------------------------------------------------------------------
|
||||
def get_params_pen():
|
||||
d = ezfio.jastrow_jast_pen
|
||||
return np.array([d[m[0]] for m in atom_map])
|
||||
#------------------------------------------------------------------------------
|
||||
##
|
||||
###
|
||||
##
|
||||
#------------------------------------------------------------------------------
|
||||
def set_params_pen(x):
|
||||
#x = np.abs(x)
|
||||
y = list(ezfio.jastrow_jast_pen)
|
||||
for i,m in enumerate(atom_map):
|
||||
for j in m:
|
||||
y[j] = x[i]
|
||||
ezfio.set_jastrow_jast_pen(y)
|
||||
#------------------------------------------------------------------------------
|
||||
##
|
||||
###
|
||||
##
|
||||
#------------------------------------------------------------------------------
|
||||
def get_params_b():
|
||||
b = ezfio.get_jastrow_jast_b_up_up()
|
||||
return b
|
||||
#------------------------------------------------------------------------------
|
||||
##
|
||||
###
|
||||
##
|
||||
#------------------------------------------------------------------------------
|
||||
def set_params_b(b):
|
||||
ezfio.set_jastrow_jast_b_up_up(b)
|
||||
ezfio.set_jastrow_jast_b_up_dn(b)
|
||||
#------------------------------------------------------------------------------
|
||||
##
|
||||
###
|
||||
##
|
||||
#------------------------------------------------------------------------------
|
||||
def get_energy():
|
||||
buffer = subprocess.check_output(
|
||||
['qmcchem', 'result', '-e', 'e_loc', EZFIO_file], encoding='UTF-8')
|
||||
if buffer.strip() != "":
|
||||
buffer = buffer.splitlines()[-1]
|
||||
_, energy, error = [float(x) for x in buffer.split()]
|
||||
return energy, error
|
||||
else:
|
||||
return None, None
|
||||
#------------------------------------------------------------------------------
|
||||
##
|
||||
###
|
||||
##
|
||||
#------------------------------------------------------------------------------
|
||||
def get_variance():
|
||||
buffer = subprocess.check_output(
|
||||
['qmcchem', 'result', '-e', 'e_loc_qmcvar', EZFIO_file], encoding='UTF-8')
|
||||
if buffer.strip() != "":
|
||||
buffer = buffer.splitlines()[-1]
|
||||
_, variance, error = [float(x) for x in buffer.split()]
|
||||
return variance, error
|
||||
else:
|
||||
return None, None
|
||||
#------------------------------------------------------------------------------
|
||||
##
|
||||
###
|
||||
##
|
||||
#------------------------------------------------------------------------------
|
||||
def set_vmc_params(block_time,total_time):
|
||||
#subprocess.check_output(['qmcchem', 'edit', '-c', '-j', 'Simple',
|
||||
# '-m', 'VMC',
|
||||
# '-l', str(block_time),
|
||||
# '--time-step=0.3',
|
||||
# '--stop-time=36000',
|
||||
# '--norm=1.e-5',
|
||||
# '-w', '10',
|
||||
# EZFIO_file])
|
||||
subprocess.check_output(['qmcchem', 'edit', '-c', '-j', 'Simple',
|
||||
'-t', str(total_time),
|
||||
'-l', str(block_time), EZFIO_file])
|
||||
#------------------------------------------------------------------------------
|
||||
##
|
||||
###
|
||||
##
|
||||
#------------------------------------------------------------------------------
|
||||
def run_qmc():
|
||||
return subprocess.check_output(['qmcchem', 'run', EZFIO_file])
|
||||
#------------------------------------------------------------------------------
|
||||
##
|
||||
###
|
||||
##
|
||||
#------------------------------------------------------------------------------
|
||||
def stop_qmc():
|
||||
subprocess.check_output(['qmcchem', 'stop', EZFIO_file])
|
||||
#------------------------------------------------------------------------------
|
||||
##
|
||||
###
|
||||
##
|
||||
#------------------------------------------------------------------------------
|
||||
def f(x):
|
||||
# !!!
|
||||
print('f on:')
|
||||
print('nuc param Jast = {}'.format(x[:-1]))
|
||||
print('b param Jast = {}'.format(x[-1]))
|
||||
# !!!
|
||||
global i_fev
|
||||
i_fev = i_fev + 1
|
||||
# !!!
|
||||
global memo_energy
|
||||
# !!!
|
||||
print ("x = %s"%str(x))
|
||||
h = str(x)
|
||||
if h in memo_energy:
|
||||
return memo_energy[h]
|
||||
# !!!
|
||||
set_params_pen(x[:-1])
|
||||
set_params_b(x[-1])
|
||||
set_params_pen(x)
|
||||
set_vmc_params(block_time_f, total_time_f)
|
||||
# !!!
|
||||
pid = os.fork()
|
||||
if pid == 0:
|
||||
run_qmc()
|
||||
os._exit(os.EX_OK)
|
||||
else:
|
||||
atexit.register(stop_qmc)
|
||||
time.sleep(3.*block_time_f/4.)
|
||||
|
||||
local_thresh = thresh
|
||||
err = thresh+1.
|
||||
ii = 1
|
||||
ii_max = int(total_time_f/block_time_f) - 1
|
||||
while( (err > local_thresh) and (ii<ii_max) ):
|
||||
time.sleep(block_time_f)
|
||||
e, e_err = get_energy()
|
||||
variance, v_err = get_variance()
|
||||
if e is None or variance is None:
|
||||
continue
|
||||
energy = e + variance # minimise energy + variance
|
||||
err = sqrt(e_err*e_err+v_err*v_err)
|
||||
print(" energy: %f %f "%(e, e_err))
|
||||
print(" varian: %f %f "%(variance, v_err))
|
||||
print(" additi: %f %f "%(energy, err))
|
||||
print(" ")
|
||||
if (energy-2.*err) > memo_energy['fmin']+thresh:
|
||||
local_thresh = 10.*thresh
|
||||
elif (energy+2.*err) < memo_energy['fmin']-thresh:
|
||||
local_thresh = 10.*thresh
|
||||
|
||||
ii = ii + 1
|
||||
# Check if PID is still running
|
||||
try:
|
||||
os.kill(pid,0)
|
||||
except OSError:
|
||||
print("---")
|
||||
break
|
||||
stop_qmc()
|
||||
# !!!
|
||||
os.wait()
|
||||
memo_energy[h] = energy + err
|
||||
memo_energy['fmin'] = min(energy, memo_energy['fmin'])
|
||||
# !!!
|
||||
return energy
|
||||
#------------------------------------------------------------------------------
|
||||
##
|
||||
###
|
||||
##
|
||||
#------------------------------------------------------------------------------
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
t0 = time.time()
|
||||
# !!!
|
||||
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
|
||||
EZFIO_file = "/home/ammar/qp2/src/svdwf/h2o_optJast"
|
||||
# nuclear energy
|
||||
E_toadd = 9.194966082434476
|
||||
# PARAMETERS
|
||||
thresh = 1.e-2
|
||||
# maximum allowed number of function evaluations
|
||||
N_fev = 4
|
||||
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
|
||||
# !!!
|
||||
ezfio.set_file(EZFIO_file)
|
||||
print("Today's date:", datetime.now() )
|
||||
print("EZFIO file = {}".format(EZFIO_file))
|
||||
# !!!
|
||||
# map nuclei to a list
|
||||
# for H2O this will give: atom_map = [[0], [1, 2]]
|
||||
atom_map = make_atom_map()
|
||||
n_nucpar = len(atom_map) # nb of nclear parameters
|
||||
# !!!
|
||||
# x = get_params_pen()
|
||||
x = [1.25816521, 0.23766714]
|
||||
print('initial pen: {}'.format(x))
|
||||
b_par = get_params_b()
|
||||
print('initial b: {}'.format(b_par))
|
||||
x.append(b_par)
|
||||
# !!!
|
||||
i_fev = 0
|
||||
bnds = [(0.001, 9.99) for _ in range(n_nucpar)]
|
||||
memo_energy = {'fmin': 100000000.}
|
||||
opt = sp.optimize.minimize(f, x, method="Powell", bounds=bnds
|
||||
, options= {'disp':True,
|
||||
'ftol':thresh,
|
||||
'xtol':0.2,
|
||||
'maxfev':N_fev} )
|
||||
print("x = "+str(opt))
|
||||
set_params_pen(opt['x'])
|
||||
print('number of function evaluations = {}'.format(i_fev))
|
||||
# !!!
|
||||
print('memo_energy: {}'.format(memo_energy))
|
||||
# !!!
|
||||
print("end after {:.3f} minutes".format((time.time()-t0)/60.) )
|
||||
# !!!
|
171
src/opt_Jast/opt_jast_Anthony.py
Normal file
171
src/opt_Jast/opt_jast_Anthony.py
Normal file
@ -0,0 +1,171 @@
|
||||
#!/usr/bin/env python3
|
||||
|
||||
import scipy as sp
|
||||
import scipy.optimize
|
||||
import numpy as np
|
||||
import sys
|
||||
import os
|
||||
import time
|
||||
import subprocess
|
||||
from math import sqrt
|
||||
|
||||
QMCCHEM_PATH=os.environ["QMCCHEM_PATH"]
|
||||
|
||||
sys.path.insert(0,QMCCHEM_PATH+"/EZFIO/Python/")
|
||||
|
||||
from ezfio import ezfio
|
||||
|
||||
# PARAMETERS
|
||||
thresh = 1.e-2
|
||||
block_time = 20
|
||||
|
||||
def main():
|
||||
if len(sys.argv) != 2:
|
||||
print("Usage: %s <EZFIO_DIRECTORY>"%sys.argv[0])
|
||||
sys.exti(1)
|
||||
|
||||
filename = sys.argv[1]
|
||||
ezfio.set_file(filename)
|
||||
|
||||
|
||||
def make_atom_map():
|
||||
labels = {}
|
||||
dimension = 0
|
||||
for i,k in enumerate(ezfio.nuclei_nucl_label):
|
||||
if k in labels:
|
||||
labels[k].append(i)
|
||||
else:
|
||||
labels[k] = [dimension, i]
|
||||
dimension += 1
|
||||
atom_map = [[] for i in range(dimension)]
|
||||
for atom in labels.keys():
|
||||
l = labels[atom]
|
||||
atom_map[l[0]] = l[1:]
|
||||
return atom_map
|
||||
atom_map = make_atom_map()
|
||||
|
||||
|
||||
def get_params_pen():
|
||||
d = ezfio.jastrow_jast_pen
|
||||
return np.array([d[m[0]] for m in atom_map])
|
||||
|
||||
|
||||
def get_energy():
|
||||
buffer = subprocess.check_output(['qmcchem', 'result', '-e', 'e_loc', filename],
|
||||
encoding='UTF-8')
|
||||
if buffer.strip() != "":
|
||||
buffer = buffer.splitlines()[-1]
|
||||
_, energy, error = [float(x) for x in buffer.split()]
|
||||
return energy, error
|
||||
else:
|
||||
return None, None
|
||||
|
||||
def get_variance():
|
||||
buffer = subprocess.check_output(['qmcchem', 'result', '-e',
|
||||
'e_loc_qmcvar', filename],
|
||||
encoding='UTF-8')
|
||||
if buffer.strip() != "":
|
||||
buffer = buffer.splitlines()[-1]
|
||||
_, variance, error = [float(x) for x in buffer.split()]
|
||||
return variance, error
|
||||
else:
|
||||
return None, None
|
||||
|
||||
|
||||
def set_params_pen(x):
|
||||
x = np.abs(x)
|
||||
y=list(ezfio.jastrow_jast_pen)
|
||||
for i,m in enumerate(atom_map):
|
||||
for j in m:
|
||||
y[j] = x[i]
|
||||
ezfio.set_jastrow_jast_pen(y)
|
||||
|
||||
|
||||
def run_qmc():
|
||||
return subprocess.check_output(['qmcchem', 'run', filename])
|
||||
|
||||
|
||||
def stop_qmc():
|
||||
subprocess.check_output(['qmcchem', 'stop', filename])
|
||||
|
||||
|
||||
def set_vmc_params():
|
||||
# subprocess.check_output(['qmcchem', 'edit', '-c', '-j', 'Simple',
|
||||
# '-m', 'VMC',
|
||||
# '-l', str(block_time),
|
||||
# '--time-step=0.3',
|
||||
# '--stop-time=36000',
|
||||
# '--norm=1.e-5',
|
||||
# '-w', '10',
|
||||
# filename])
|
||||
subprocess.check_output(['qmcchem', 'edit', '-c', '-j', 'Simple',
|
||||
'-l', str(block_time),
|
||||
filename])
|
||||
|
||||
memo_energy = {'fmin': 100000000.}
|
||||
def f(x):
|
||||
print ("x = %s"%str(x))
|
||||
h = str(x)
|
||||
if h in memo_energy:
|
||||
return memo_energy[h]
|
||||
set_params_pen(x)
|
||||
set_vmc_params()
|
||||
pid = os.fork()
|
||||
if pid == 0:
|
||||
run_qmc()
|
||||
os._exit(os.EX_OK)
|
||||
else:
|
||||
import atexit
|
||||
atexit.register(stop_qmc)
|
||||
|
||||
err = thresh+1.
|
||||
time.sleep(3.*block_time/4.)
|
||||
local_thresh = thresh
|
||||
while err > local_thresh:
|
||||
time.sleep(block_time)
|
||||
e, e_err = get_energy()
|
||||
variance, v_err = get_variance()
|
||||
if e is None or variance is None:
|
||||
continue
|
||||
energy = e + variance
|
||||
err = sqrt(e_err*e_err+v_err*v_err)
|
||||
print(" %f %f %f %f %f %f"%(e, e_err, variance, v_err, energy, err))
|
||||
if (energy-2.*err) > memo_energy['fmin']+thresh:
|
||||
local_thresh = 10.*thresh
|
||||
elif (energy+2.*err) < memo_energy['fmin']-thresh:
|
||||
local_thresh = 10.*thresh
|
||||
|
||||
# Check if PID is still running
|
||||
try:
|
||||
os.kill(pid,0)
|
||||
except OSError:
|
||||
print("---")
|
||||
break
|
||||
stop_qmc()
|
||||
os.wait()
|
||||
memo_energy[h] = energy + err
|
||||
memo_energy['fmin'] = min(energy, memo_energy['fmin'])
|
||||
return energy
|
||||
|
||||
|
||||
def run():
|
||||
x = get_params_pen()
|
||||
if sum(x) == 0.:
|
||||
jast_a_up_dn = ezfio.jastrow_jast_a_up_dn
|
||||
x += jast_a_up_dn
|
||||
opt = sp.optimize.minimize(f,x,method="Powell",
|
||||
options= {'disp':True, 'ftol':thresh,'xtol':0.02})
|
||||
print("x = "+str(opt))
|
||||
set_params_pen(opt['x'])
|
||||
|
||||
run()
|
||||
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
main()
|
||||
|
||||
|
||||
|
||||
|
||||
|
233
src/opt_Jast/opt_jast_freegrad.py
Normal file
233
src/opt_Jast/opt_jast_freegrad.py
Normal file
@ -0,0 +1,233 @@
|
||||
|
||||
import sys, os
|
||||
QMCCHEM_PATH=os.environ["QMCCHEM_PATH"]
|
||||
sys.path.insert(0,QMCCHEM_PATH+"/EZFIO/Python/")
|
||||
from ezfio import ezfio
|
||||
from datetime import datetime
|
||||
import time
|
||||
import numpy as np
|
||||
import subprocess
|
||||
import atexit
|
||||
import scipy as sp
|
||||
import scipy.optimize
|
||||
from math import sqrt
|
||||
from modif_powell_imp import my_fmin_powell
|
||||
|
||||
#------------------------------------------------------------------------------
|
||||
def make_atom_map():
|
||||
labels = {}
|
||||
dimension = 0
|
||||
# i: label of nuclei
|
||||
# k: counter of nuclei
|
||||
for i,k in enumerate(ezfio.nuclei_nucl_label):
|
||||
if k in labels:
|
||||
labels[k].append(i)
|
||||
else:
|
||||
labels[k] = [dimension, i]
|
||||
dimension += 1
|
||||
atom_map = [[] for i in range(dimension)]
|
||||
for atom in labels.keys():
|
||||
l = labels[atom]
|
||||
atom_map[l[0]] = l[1:]
|
||||
return atom_map
|
||||
#------------------------------------------------------------------------------
|
||||
##
|
||||
###
|
||||
##
|
||||
#------------------------------------------------------------------------------
|
||||
def get_params_pen():
|
||||
d = ezfio.jastrow_jast_pen
|
||||
return np.array([d[m[0]] for m in atom_map])
|
||||
#------------------------------------------------------------------------------
|
||||
##
|
||||
###
|
||||
##
|
||||
#------------------------------------------------------------------------------
|
||||
def set_params_pen(x):
|
||||
y = list(ezfio.jastrow_jast_pen)
|
||||
for i,m in enumerate(atom_map):
|
||||
for j in m:
|
||||
y[j] = x[i]
|
||||
ezfio.set_jastrow_jast_pen(y)
|
||||
#------------------------------------------------------------------------------
|
||||
##
|
||||
###
|
||||
##
|
||||
#------------------------------------------------------------------------------
|
||||
def get_params_b():
|
||||
b = ezfio.get_jastrow_jast_b_up_up()
|
||||
return b
|
||||
#------------------------------------------------------------------------------
|
||||
##
|
||||
###
|
||||
##
|
||||
#------------------------------------------------------------------------------
|
||||
def set_params_b(b):
|
||||
ezfio.set_jastrow_jast_b_up_up(b)
|
||||
ezfio.set_jastrow_jast_b_up_dn(b)
|
||||
#------------------------------------------------------------------------------
|
||||
##
|
||||
###
|
||||
##
|
||||
#------------------------------------------------------------------------------
|
||||
def get_energy():
|
||||
buffer = subprocess.check_output(
|
||||
['qmcchem', 'result', '-e', 'e_loc', EZFIO_file], encoding='UTF-8')
|
||||
if buffer.strip() != "":
|
||||
buffer = buffer.splitlines()[-1]
|
||||
_, energy, error = [float(x) for x in buffer.split()]
|
||||
return energy, error
|
||||
else:
|
||||
return None, None
|
||||
#------------------------------------------------------------------------------
|
||||
##
|
||||
###
|
||||
##
|
||||
#------------------------------------------------------------------------------
|
||||
def get_variance():
|
||||
buffer = subprocess.check_output(
|
||||
['qmcchem', 'result', '-e', 'e_loc_qmcvar', EZFIO_file], encoding='UTF-8')
|
||||
if buffer.strip() != "":
|
||||
buffer = buffer.splitlines()[-1]
|
||||
_, variance, error = [float(x) for x in buffer.split()]
|
||||
return variance, error
|
||||
else:
|
||||
return None, None
|
||||
#------------------------------------------------------------------------------
|
||||
##
|
||||
###
|
||||
##
|
||||
#------------------------------------------------------------------------------
|
||||
def set_vmc_params(block_time,total_time):
|
||||
subprocess.check_output(['qmcchem', 'edit', '-c', '-j', 'Simple',
|
||||
'-t', str(total_time),
|
||||
'-l', str(block_time), EZFIO_file])
|
||||
#------------------------------------------------------------------------------
|
||||
##
|
||||
###
|
||||
##
|
||||
#------------------------------------------------------------------------------
|
||||
def run_qmc():
|
||||
return subprocess.check_output(['qmcchem', 'run', EZFIO_file])
|
||||
#------------------------------------------------------------------------------
|
||||
##
|
||||
###
|
||||
##
|
||||
#------------------------------------------------------------------------------
|
||||
def stop_qmc():
|
||||
subprocess.check_output(['qmcchem', 'stop', EZFIO_file])
|
||||
#------------------------------------------------------------------------------
|
||||
##
|
||||
###
|
||||
##
|
||||
#------------------------------------------------------------------------------
|
||||
def f(x):
|
||||
# !!!
|
||||
global i_fev
|
||||
global memo_energy
|
||||
print(' eval {} of f on:'.format(i_fev))
|
||||
print(' nuc param Jast = {}'.format(x[:-1]))
|
||||
print(' b param Jast = {}'.format(x[-1]))
|
||||
h = str(x)
|
||||
if h in memo_energy:
|
||||
return memo_energy[h]
|
||||
# !!!
|
||||
i_fev = i_fev + 1
|
||||
# !!!
|
||||
set_params_pen(x[:-1])
|
||||
set_params_b(x[-1])
|
||||
block_time_f = 45
|
||||
total_time_f = 180
|
||||
set_vmc_params(block_time_f, total_time_f)
|
||||
# !!!
|
||||
loc_err = 10.
|
||||
ii = 0
|
||||
ii_max = 5
|
||||
energy = None
|
||||
err = None
|
||||
while( thresh < loc_err ):
|
||||
run_qmc()
|
||||
energy, err = get_energy()
|
||||
if( (energy is None) or (err is None) ):
|
||||
continue
|
||||
elif( memo_energy['fmin'] < (energy-2.*err) ):
|
||||
print(" %d energy: %f %f "%(ii, energy, err))
|
||||
break
|
||||
else:
|
||||
loc_err = err
|
||||
ii = ii + 1
|
||||
print(" %d energy: %f %f "%(ii, energy, err))
|
||||
if( ii_max < ii ):
|
||||
break
|
||||
print(" ")
|
||||
# !!!
|
||||
memo_energy[h] = energy + err
|
||||
memo_energy['fmin'] = min(energy, memo_energy['fmin'])
|
||||
# !!!
|
||||
return energy
|
||||
#------------------------------------------------------------------------------
|
||||
##
|
||||
###
|
||||
##
|
||||
#------------------------------------------------------------------------------
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
# !!!
|
||||
t0 = time.time()
|
||||
# !!!
|
||||
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
|
||||
EZFIO_file = "/home/aammar/qp2/src/svdwf/h2o_optJast"
|
||||
# PARAMETERS
|
||||
thresh = 1.e-2
|
||||
# maximum allowed number of function evaluations
|
||||
N_fev = 50
|
||||
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
|
||||
# !!!
|
||||
ezfio.set_file(EZFIO_file)
|
||||
print(" Today's date:", datetime.now() )
|
||||
print(" EZFIO file = {}".format(EZFIO_file))
|
||||
# !!!
|
||||
# map nuclei to a list
|
||||
# for H2O this will give: atom_map = [[0], [1, 2]]
|
||||
atom_map = make_atom_map()
|
||||
n_par = len(atom_map) # nb of nclear parameters
|
||||
n_par = n_par + 1 # e-e parameter b
|
||||
# !!!
|
||||
# x = get_params_pen()
|
||||
x = [1.29386006, 0.21362821]
|
||||
print(' initial pen: {}'.format(x))
|
||||
#b_par = get_params_b()
|
||||
b_par = 1.5291090863304375
|
||||
print(' initial b: {}'.format(b_par))
|
||||
x.append(b_par)
|
||||
# !!!
|
||||
i_fev = 1
|
||||
memo_energy = {'fmin': 100.}
|
||||
# !!!
|
||||
#bnds = [(0.001, 9.99) for _ in range(n_par)]
|
||||
#opt = sp.optimize.minimize(f, x, method="Newton-CG", bounds=bnds
|
||||
# , options= {'disp':True} )
|
||||
# !!!
|
||||
x_min = [ (0.001) for _ in range(n_par) ]
|
||||
x_max = [ (9.999) for _ in range(n_par) ]
|
||||
opt = my_fmin_powell( f, x, x_min, x_max
|
||||
, xtol = 0.02
|
||||
, ftol = thresh
|
||||
, maxfev = N_fev
|
||||
, full_output = 1
|
||||
, verbose = 1 )
|
||||
# !!!
|
||||
print(" x = "+str(opt))
|
||||
#set_params_pen(opt['x'])
|
||||
print(' number of function evaluations = {}'.format(i_fev))
|
||||
# !!!
|
||||
print(' memo_energy: {}'.format(memo_energy))
|
||||
# !!!
|
||||
print(" end after {:.3f} minutes".format((time.time()-t0)/60.) )
|
||||
# !!!
|
301
src/opt_Jast/opt_jast_grad.py
Normal file
301
src/opt_Jast/opt_jast_grad.py
Normal file
@ -0,0 +1,301 @@
|
||||
#!/usr/bin/env python3
|
||||
|
||||
import sys, os
|
||||
QMCCHEM_PATH=os.environ["QMCCHEM_PATH"]
|
||||
sys.path.insert(0,QMCCHEM_PATH+"/EZFIO/Python/")
|
||||
from ezfio import ezfio
|
||||
from datetime import datetime
|
||||
import time
|
||||
import numpy as np
|
||||
import subprocess
|
||||
import atexit
|
||||
import scipy as sp
|
||||
import scipy.optimize
|
||||
from math import sqrt
|
||||
|
||||
#------------------------------------------------------------------------------
|
||||
def make_atom_map():
|
||||
labels = {}
|
||||
dimension = 0
|
||||
# i: label of nuclei
|
||||
# k: counter of nuclei
|
||||
for i,k in enumerate(ezfio.nuclei_nucl_label):
|
||||
if k in labels:
|
||||
labels[k].append(i)
|
||||
else:
|
||||
labels[k] = [dimension, i]
|
||||
dimension += 1
|
||||
atom_map = [[] for i in range(dimension)]
|
||||
for atom in labels.keys():
|
||||
l = labels[atom]
|
||||
atom_map[l[0]] = l[1:]
|
||||
return atom_map
|
||||
#------------------------------------------------------------------------------
|
||||
##
|
||||
###
|
||||
##
|
||||
#------------------------------------------------------------------------------
|
||||
def get_params_pen():
|
||||
d = ezfio.jastrow_jast_pen
|
||||
return np.array([d[m[0]] for m in atom_map])
|
||||
#------------------------------------------------------------------------------
|
||||
##
|
||||
###
|
||||
##
|
||||
#------------------------------------------------------------------------------
|
||||
def set_params_pen(x):
|
||||
y = list(ezfio.jastrow_jast_pen)
|
||||
for i,m in enumerate(atom_map):
|
||||
for j in m:
|
||||
y[j] = x[i]
|
||||
ezfio.set_jastrow_jast_pen(y)
|
||||
#------------------------------------------------------------------------------
|
||||
##
|
||||
###
|
||||
##
|
||||
#------------------------------------------------------------------------------
|
||||
def get_params_b():
|
||||
b = ezfio.get_jastrow_jast_b_up_up()
|
||||
return b
|
||||
#------------------------------------------------------------------------------
|
||||
##
|
||||
###
|
||||
##
|
||||
#------------------------------------------------------------------------------
|
||||
def set_params_b(b):
|
||||
ezfio.set_jastrow_jast_b_up_up(b)
|
||||
ezfio.set_jastrow_jast_b_up_dn(b)
|
||||
#------------------------------------------------------------------------------
|
||||
##
|
||||
###
|
||||
##
|
||||
#------------------------------------------------------------------------------
|
||||
def get_energy():
|
||||
buffer = subprocess.check_output(
|
||||
['qmcchem', 'result', '-e', 'e_loc', EZFIO_file], encoding='UTF-8')
|
||||
buffer = buffer.splitlines()[-1]
|
||||
_, energy, error = [float(x) for x in buffer.split()]
|
||||
return energy, error
|
||||
#------------------------------------------------------------------------------
|
||||
##
|
||||
###
|
||||
##
|
||||
#------------------------------------------------------------------------------
|
||||
def get_variance():
|
||||
buffer = subprocess.check_output(
|
||||
['qmcchem', 'result', '-e', 'e_loc_qmcvar', EZFIO_file], encoding='UTF-8')
|
||||
buffer = buffer.splitlines()[-1]
|
||||
_, variance, error = [float(x) for x in buffer.split()]
|
||||
return variance, error
|
||||
#------------------------------------------------------------------------------
|
||||
##
|
||||
###
|
||||
##
|
||||
#------------------------------------------------------------------------------
|
||||
def get_energy_deriv_nucPar():
|
||||
# !!!
|
||||
buffer = subprocess.check_output(
|
||||
['qmcchem', 'result', EZFIO_file], encoding='UTF-8')
|
||||
end = len(buffer)
|
||||
# !!!
|
||||
deriv_nucPar1 = []
|
||||
beg = buffer.find('E_deriv_nucpar_loc1 : [ ')
|
||||
beg = beg + len( 'E_deriv_nucpar_loc1 : [ ' )
|
||||
der_buf = buffer[beg:end]
|
||||
der_buf = der_buf.split( '\n' )
|
||||
for iline in range(1, n_nucpar+1):
|
||||
line = der_buf[iline].split()
|
||||
deriv_nucPar1.append( float(line[2]) )
|
||||
# !!!
|
||||
deriv_nucPar2 = []
|
||||
beg = buffer.find('E_deriv_nucpar_loc2 : [ ')
|
||||
beg = beg + len( 'E_deriv_nucpar_loc2 : [ ' )
|
||||
der_buf = buffer[beg:end]
|
||||
der_buf = der_buf.split( '\n' )
|
||||
for iline in range(1, n_nucpar+1):
|
||||
line = der_buf[iline].split()
|
||||
deriv_nucPar2.append( float(line[2]) )
|
||||
# !!!
|
||||
deriv_nucPar = []
|
||||
e, _ = get_energy()
|
||||
for i in range(n_nucpar):
|
||||
tmp = 2. * ( deriv_nucPar1[i] - e * deriv_nucPar2[i] )
|
||||
deriv_nucPar.append( tmp )
|
||||
# !!!
|
||||
return deriv_nucPar
|
||||
#------------------------------------------------------------------------------
|
||||
##
|
||||
###
|
||||
##
|
||||
#------------------------------------------------------------------------------
|
||||
def get_energy_deriv_bPar():
|
||||
# !!!
|
||||
buffer = subprocess.check_output(
|
||||
['qmcchem', 'result', EZFIO_file], encoding='UTF-8')
|
||||
end = len(buffer)
|
||||
# !!!
|
||||
beg = buffer.find('E_deriv_bpar_loc1 : ')
|
||||
beg = beg + len( 'E_deriv_bpar_loc1 : ' )
|
||||
der_buf = buffer[beg:end]
|
||||
der_buf = der_buf.split( '\n' )
|
||||
der_buf = der_buf[0].split()
|
||||
deriv_bPar1 = float(der_buf[0])
|
||||
# !!!
|
||||
beg = buffer.find('E_deriv_bpar_loc2 : ')
|
||||
beg = beg + len( 'E_deriv_bpar_loc2 : ' )
|
||||
der_buf = buffer[beg:end]
|
||||
der_buf = der_buf.split( '\n' )
|
||||
der_buf = der_buf[0].split()
|
||||
deriv_bPar2 = float(der_buf[0])
|
||||
# !!!
|
||||
e, _ = get_energy()
|
||||
deriv_bPar = deriv_bPar1 - e * deriv_bPar2
|
||||
# !!!
|
||||
return deriv_bPar
|
||||
#------------------------------------------------------------------------------
|
||||
##
|
||||
###
|
||||
##
|
||||
#------------------------------------------------------------------------------
|
||||
def set_vmc_params(block_time,total_time):
|
||||
subprocess.check_output(['qmcchem', 'edit', '-c', '-j', 'Simple',
|
||||
'-t', str(total_time),
|
||||
'-l', str(block_time), EZFIO_file])
|
||||
#------------------------------------------------------------------------------
|
||||
##
|
||||
###
|
||||
##
|
||||
#------------------------------------------------------------------------------
|
||||
def run_qmc():
|
||||
return subprocess.check_output(['qmcchem', 'run', EZFIO_file])
|
||||
#------------------------------------------------------------------------------
|
||||
##
|
||||
###
|
||||
##
|
||||
#------------------------------------------------------------------------------
|
||||
def stop_qmc():
|
||||
subprocess.check_output(['qmcchem', 'stop', EZFIO_file])
|
||||
#------------------------------------------------------------------------------
|
||||
##
|
||||
###
|
||||
##
|
||||
#------------------------------------------------------------------------------
|
||||
def f(x):
|
||||
# !!!
|
||||
print('f on:')
|
||||
print('nuc param Jast = {}'.format(x[:-1]))
|
||||
print('b param Jast = {}'.format(x[-1]))
|
||||
# !!!
|
||||
global i_fev
|
||||
i_fev = i_fev + 1
|
||||
# !!!
|
||||
set_params_pen(x[:-1])
|
||||
set_params_b(x[-1])
|
||||
block_time_f = 20
|
||||
total_time_f = 40
|
||||
set_vmc_params(block_time_f, total_time_f)
|
||||
# !!!
|
||||
err = 10.
|
||||
ii = 0
|
||||
ii_max = 5
|
||||
while( (err > thresh) and (ii<ii_max) ):
|
||||
ii = ii + 1
|
||||
run_qmc()
|
||||
energy, err = get_energy()
|
||||
print(" energy: %f %f "%(energy, err))
|
||||
print(" ")
|
||||
# !!!
|
||||
global memo_energy
|
||||
h = str(x)
|
||||
memo_energy[h] = energy + err
|
||||
memo_energy['fmin'] = min(energy, memo_energy['fmin'])
|
||||
# !!!
|
||||
return energy
|
||||
#------------------------------------------------------------------------------
|
||||
##
|
||||
###
|
||||
##
|
||||
#------------------------------------------------------------------------------
|
||||
def fprime(x):
|
||||
# !!!
|
||||
# used with CG, BFGS, Newton-CG, L-BFGS-B, TNC, SLSQP, dogleg, trust-ncg,
|
||||
# trust-krylov, trust-exact, trust-constr
|
||||
# !!!
|
||||
print('derivative on:')
|
||||
print('nuc param Jast = {}'.format(x[:-1]))
|
||||
print('b param Jast = {}'.format(x[-1]))
|
||||
# !!!
|
||||
set_params_pen(x[:-1])
|
||||
set_params_b(x[-1])
|
||||
block_time_fp = 20
|
||||
total_time_fp = 30
|
||||
set_vmc_params(block_time_fp, total_time_fp)
|
||||
run_qmc()
|
||||
# !!!
|
||||
fp = get_energy_deriv_nucPar()
|
||||
print('nuc param Jast = {}'.format(fp))
|
||||
fp_bpar = get_energy_deriv_bPar()
|
||||
print('b param Jast = {}'.format(fp_bpar))
|
||||
fp.append(fp_bpar)
|
||||
print(" ")
|
||||
# !!!
|
||||
return fp
|
||||
#------------------------------------------------------------------------------
|
||||
##
|
||||
###
|
||||
##
|
||||
#------------------------------------------------------------------------------
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
# !!!
|
||||
t0 = time.time()
|
||||
# !!!
|
||||
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
|
||||
EZFIO_file = "/home/ammar/qp2/src/svdwf/h2o_optJast"
|
||||
# nuclear energy
|
||||
E_toadd = 9.194966082434476
|
||||
# PARAMETERS
|
||||
thresh = 1.e-2
|
||||
# maximum allowed number of function evaluations
|
||||
N_fev = 5
|
||||
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
|
||||
# !!!
|
||||
ezfio.set_file(EZFIO_file)
|
||||
print("Today's date:", datetime.now() )
|
||||
print("EZFIO file = {}".format(EZFIO_file))
|
||||
# !!!
|
||||
# map nuclei to a list
|
||||
# for H2O this will give: atom_map = [[0], [1, 2]]
|
||||
atom_map = make_atom_map()
|
||||
n_nucpar = len(atom_map) # nb of nclear parameters
|
||||
# !!!
|
||||
# x = get_params_pen()
|
||||
x = [1.25816521, 0.35]
|
||||
print('initial pen: {}'.format(x))
|
||||
b_par = get_params_b()
|
||||
print('initial b: {}'.format(b_par))
|
||||
x.append(b_par)
|
||||
# !!!
|
||||
#i_fev = 0
|
||||
#bnds = [(0.001, 9.99) for _ in range(n_nucpar)]
|
||||
#memo_energy = {'fmin': 100000000.}
|
||||
#opt = sp.optimize.minimize(f, x, method="Powell", bounds=bnds
|
||||
# , options= {'disp':True,
|
||||
# 'ftol':thresh,
|
||||
# 'xtol':0.2,
|
||||
# 'maxfev':N_fev} )
|
||||
#print("x = "+str(opt))
|
||||
#set_params_pen(opt['x'])
|
||||
#print('number of function evaluations = {}'.format(i_fev))
|
||||
# !!!
|
||||
#print('memo_energy: {}'.format(memo_energy))
|
||||
# !!!
|
||||
#stop_qmc()
|
||||
print("end after {:.3f} minutes".format((time.time()-t0)/60.) )
|
||||
# !!!
|
@ -15,8 +15,8 @@ subroutine draw_init_points
|
||||
allocate (do_elec(elec_num), xmin(3,elec_num))
|
||||
xmin = -huge(1.)
|
||||
norm = 0.
|
||||
do i=1,elec_alpha_num
|
||||
do j=1,ao_num
|
||||
do j = 1, ao_num
|
||||
do i = 1, elec_alpha_num
|
||||
norm += mo_coef_transp(i,j)*mo_coef_transp(i,j)
|
||||
enddo
|
||||
enddo
|
||||
|
@ -4,10 +4,28 @@
|
||||
! Value of the wave function
|
||||
END_DOC
|
||||
|
||||
double precision :: norm_Err, psi_value2
|
||||
|
||||
if (utilise_svd) then
|
||||
psi_value = psidet_value_svd*jast_value
|
||||
else
|
||||
psi_value = psidet_value*jast_value
|
||||
endif
|
||||
|
||||
if (psi_value == 0.d0) then
|
||||
call abrt(irp_here,"Value of the wave function is 0.")
|
||||
endif
|
||||
|
||||
!psi_value2 = psidet_value_svd * jast_value
|
||||
!norm_Err = (psi_value2 - psi_value)**2 / psi_value**2
|
||||
!if (norm_Err > 1.d-6) then
|
||||
! print *, 'probleme dans PROVIDER [ psi_value ]: norm_Err = ', norm_Err
|
||||
!print *, psi_value2
|
||||
!print *, psi_value
|
||||
!print *, irp_here
|
||||
!stop
|
||||
!endif
|
||||
|
||||
END_PROVIDER
|
||||
|
||||
BEGIN_PROVIDER [ double precision, psi_value_inv ]
|
||||
@ -32,8 +50,19 @@ BEGIN_PROVIDER [ double precision, psi_lapl, (elec_num_8) ]
|
||||
BEGIN_DOC
|
||||
! Laplacian of the wave function
|
||||
END_DOC
|
||||
|
||||
double precision :: psi_lapl2(elec_num)
|
||||
double precision :: norm_Err
|
||||
integer :: i, j
|
||||
if (utilise_svd) then
|
||||
!DIR$ VECTOR ALIGNED
|
||||
!DIR$ LOOP COUNT (100)
|
||||
do j=1,elec_num
|
||||
psi_lapl(j) = jast_value*(psidet_grad_lapl_svd(4,j) + psidet_value_svd*jast_lapl_jast_inv(j) + 2.d0*(&
|
||||
psidet_grad_lapl_svd(1,j)*jast_grad_jast_inv_x(j) + &
|
||||
psidet_grad_lapl_svd(2,j)*jast_grad_jast_inv_y(j) + &
|
||||
psidet_grad_lapl_svd(3,j)*jast_grad_jast_inv_z(j) ))
|
||||
enddo
|
||||
else
|
||||
!DIR$ VECTOR ALIGNED
|
||||
!DIR$ LOOP COUNT (100)
|
||||
do j=1,elec_num
|
||||
@ -42,7 +71,16 @@ BEGIN_PROVIDER [ double precision, psi_lapl, (elec_num_8) ]
|
||||
psidet_grad_lapl(2,j)*jast_grad_jast_inv_y(j) + &
|
||||
psidet_grad_lapl(3,j)*jast_grad_jast_inv_z(j) ))
|
||||
enddo
|
||||
endif
|
||||
|
||||
!norm_Err = sum( (psi_lapl2(1:elec_num) - psi_lapl(1:elec_num))**2 ) / sum( psi_lapl(1:elec_num)**2 )
|
||||
!if (norm_Err > 1.d-6) then
|
||||
! print *, 'probleme dans PROVIDER [ psi_lapl ]: norm_Err = ', norm_Err
|
||||
!print *, psi_lapl2(1:elec_num)
|
||||
!print *, psi_lapl(1:elec_num)
|
||||
!print *, irp_here
|
||||
!stop
|
||||
!endif
|
||||
END_PROVIDER
|
||||
|
||||
BEGIN_PROVIDER [ double precision, psi_grad_psi_inv_x, (elec_num_8) ]
|
||||
@ -53,7 +91,18 @@ END_PROVIDER
|
||||
! grad(psi)/psi
|
||||
END_DOC
|
||||
|
||||
double precision :: psi_grad_psi_inv_x2(elec_num), psi_grad_psi_inv_y2(elec_num), psi_grad_psi_inv_z2(elec_num)
|
||||
double precision :: norm_Err
|
||||
integer :: j
|
||||
if (utilise_svd) then
|
||||
!DIR$ VECTOR ALIGNED
|
||||
!DIR$ LOOP COUNT (100)
|
||||
do j=1,elec_num
|
||||
psi_grad_psi_inv_x(j) = psidet_grad_lapl_svd(1,j)*psidet_inv_svd + jast_grad_jast_inv_x(j)
|
||||
psi_grad_psi_inv_y(j) = psidet_grad_lapl_svd(2,j)*psidet_inv_svd + jast_grad_jast_inv_y(j)
|
||||
psi_grad_psi_inv_z(j) = psidet_grad_lapl_svd(3,j)*psidet_inv_svd + jast_grad_jast_inv_z(j)
|
||||
enddo
|
||||
else
|
||||
!DIR$ VECTOR ALIGNED
|
||||
!DIR$ LOOP COUNT (100)
|
||||
do j=1,elec_num
|
||||
@ -61,6 +110,16 @@ END_PROVIDER
|
||||
psi_grad_psi_inv_y(j) = psidet_grad_lapl(2,j)*psidet_inv + jast_grad_jast_inv_y(j)
|
||||
psi_grad_psi_inv_z(j) = psidet_grad_lapl(3,j)*psidet_inv + jast_grad_jast_inv_z(j)
|
||||
enddo
|
||||
endif
|
||||
!norm_Err = sum( (psi_grad_psi_inv_x2(1:elec_num) - psi_grad_psi_inv_x(1:elec_num))**2 ) / sum( psi_grad_psi_inv_x(1:elec_num)**2 )
|
||||
!norm_Err = norm_Err + sum( (psi_grad_psi_inv_y2(1:elec_num) - psi_grad_psi_inv_y(1:elec_num))**2 ) / sum( psi_grad_psi_inv_y(1:elec_num)**2 )
|
||||
!norm_Err = norm_Err + sum( (psi_grad_psi_inv_z2(1:elec_num) - psi_grad_psi_inv_z(1:elec_num))**2 ) / sum( psi_grad_psi_inv_z(1:elec_num)**2 )
|
||||
!if (norm_Err > 1.d-6) then
|
||||
! print *, 'probleme dans PROVIDER [ psi_grad_psi_inv_xyz ]: norm_Err = ', norm_Err
|
||||
!print *, irp_here
|
||||
!stop
|
||||
!endif
|
||||
|
||||
|
||||
END_PROVIDER
|
||||
|
||||
|
85
src/psi_SVD.irp.f
Normal file
85
src/psi_SVD.irp.f
Normal file
@ -0,0 +1,85 @@
|
||||
BEGIN_PROVIDER [ double precision, psi_value_SVD ]
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! Value of the wave function
|
||||
END_DOC
|
||||
psi_value_SVD = psidet_value_SVD * jast_value
|
||||
if (psi_value_SVD == 0.d0) then
|
||||
call abrt(irp_here,"Value of the wave function is 0.")
|
||||
endif
|
||||
END_PROVIDER
|
||||
|
||||
|
||||
|
||||
BEGIN_PROVIDER [ double precision, psi_value_inv_SVD ]
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! 1. / psi_value_SVD
|
||||
END_DOC
|
||||
psi_value_inv_SVD = 1.d0 / psi_value_SVD
|
||||
END_PROVIDER
|
||||
|
||||
|
||||
|
||||
BEGIN_PROVIDER [ double precision, psi_value_inv2_SVD ]
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! 1./(psi_value_SVD)**2
|
||||
END_DOC
|
||||
psi_value_inv2_SVD = psi_value_inv_SVD * psi_value_inv_SVD
|
||||
END_PROVIDER
|
||||
|
||||
|
||||
|
||||
BEGIN_PROVIDER [ double precision, psi_lapl_SVD, (elec_num_8) ]
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! Laplacian of the wave function
|
||||
END_DOC
|
||||
integer :: i, j
|
||||
!DIR$ VECTOR ALIGNED
|
||||
!DIR$ LOOP COUNT (100)
|
||||
do j = 1, elec_num
|
||||
psi_lapl_SVD(j) = jast_value * ( &
|
||||
psidet_grad_lapl_SVD(4,j) + &
|
||||
psidet_value_SVD * jast_lapl_jast_inv(j) + 2.d0 * ( &
|
||||
psidet_grad_lapl_SVD(1,j) * jast_grad_jast_inv_x(j) + &
|
||||
psidet_grad_lapl_SVD(2,j) * jast_grad_jast_inv_y(j) + &
|
||||
psidet_grad_lapl_SVD(3,j) * jast_grad_jast_inv_z(j) ) )
|
||||
enddo
|
||||
END_PROVIDER
|
||||
|
||||
|
||||
|
||||
BEGIN_PROVIDER [ double precision, psi_grad_psi_inv_x_SVD, (elec_num_8) ]
|
||||
&BEGIN_PROVIDER [ double precision, psi_grad_psi_inv_y_SVD, (elec_num_8) ]
|
||||
&BEGIN_PROVIDER [ double precision, psi_grad_psi_inv_z_SVD, (elec_num_8) ]
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! grad(psi_SVD) / psi_SVD
|
||||
END_DOC
|
||||
integer :: j
|
||||
!DIR$ VECTOR ALIGNED
|
||||
!DIR$ LOOP COUNT (100)
|
||||
do j = 1, elec_num
|
||||
psi_grad_psi_inv_x_SVD(j) = psidet_grad_lapl_SVD(1,j) * psidet_inv_SVD + jast_grad_jast_inv_x(j)
|
||||
psi_grad_psi_inv_y_SVD(j) = psidet_grad_lapl_SVD(2,j) * psidet_inv_SVD + jast_grad_jast_inv_y(j)
|
||||
psi_grad_psi_inv_z_SVD(j) = psidet_grad_lapl_SVD(3,j) * psidet_inv_SVD + jast_grad_jast_inv_z(j)
|
||||
enddo
|
||||
END_PROVIDER
|
||||
|
||||
|
||||
|
||||
BEGIN_PROVIDER [ double precision, psi_lapl_psi_inv_SVD, (elec_num_8) ]
|
||||
implicit none
|
||||
BEGIN_DOC
|
||||
! (Laplacian psi_SVD) / psi_SVD
|
||||
END_DOC
|
||||
integer :: i, j
|
||||
!DIR$ VECTOR ALIGNED
|
||||
!DIR$ LOOP COUNT (100)
|
||||
do j = 1, elec_num
|
||||
psi_lapl_psi_inv_SVD(j) = psi_lapl_SVD(j) * psi_value_inv_SVD
|
||||
enddo
|
||||
END_PROVIDER
|
||||
|
325
src/test_SVD/QMCCHEM_withSVD.py
Executable file
325
src/test_SVD/QMCCHEM_withSVD.py
Executable file
@ -0,0 +1,325 @@
|
||||
import sys, os
|
||||
QMCCHEM_PATH=os.environ["QMCCHEM_PATH"]
|
||||
sys.path.insert(0,QMCCHEM_PATH+"/EZFIO/Python/")
|
||||
# !!!
|
||||
from ezfio import ezfio
|
||||
from math import sqrt
|
||||
from datetime import datetime
|
||||
import time
|
||||
import numpy as np
|
||||
import subprocess
|
||||
from scipy.linalg import eig, eigh
|
||||
|
||||
# PARAMETERS
|
||||
block_time = 20
|
||||
eps = 1.
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def get_energy():
|
||||
buffer = subprocess.check_output(['qmcchem', 'result', '-e', 'e_loc', filename], encoding='UTF-8')
|
||||
if buffer.strip() != "":
|
||||
buffer = buffer.splitlines()[-1]
|
||||
_, energy, error = [float(x) for x in buffer.split()]
|
||||
return energy, error
|
||||
else:
|
||||
return None, None
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def run_qmc():
|
||||
return subprocess.check_output(['qmcchem', 'run', filename])
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def stop_qmc():
|
||||
subprocess.check_output(['qmcchem', 'stop', filename])
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def set_vmc_params():
|
||||
#subprocess.check_output(['qmcchem', 'edit', '-c', '-j', 'Simple',
|
||||
# '-m', 'VMC',
|
||||
# '-l', str(20),
|
||||
# '--time-step=0.3',
|
||||
# '--stop-time=36000',
|
||||
# '--norm=1.e-5',
|
||||
# '-w', '10',
|
||||
# filename])
|
||||
subprocess.check_output(['qmcchem', 'edit', '-c', '-j', 'None', '-l', str(block_time), filename])
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def get_Ci_h_matrix_svd(n_svd):
|
||||
# !!!
|
||||
Ci_h_matrix_svd = np.zeros( (n_svd,n_svd) )
|
||||
# !!!
|
||||
beg_Ci_h_matrix_svd = results.find('Ci_h_matrix_svd : [ ') + len( 'Ci_h_matrix_svd : [ ' )
|
||||
end_Ci_h_matrix_svd = len(results)#results.find('E_loc :')
|
||||
Ci_h_matrix_svd_buf = results[beg_Ci_h_matrix_svd:end_Ci_h_matrix_svd]
|
||||
Ci_h_matrix_svd_buf = Ci_h_matrix_svd_buf.split( '\n' )
|
||||
# !!!
|
||||
for iline in range(1, n_svd**2+1):
|
||||
# !!!
|
||||
line = Ci_h_matrix_svd_buf[iline].split()
|
||||
#print(line)
|
||||
indc = int( line[0] )
|
||||
errS = float( line[4] )
|
||||
#if( errS>eps ):
|
||||
#print( line )
|
||||
if( indc != iline ):
|
||||
print('Error in reading Ci_h_matrix_svd')
|
||||
stop
|
||||
else:
|
||||
#Ci_h_matrix_svd[indc-1] = float( line[2] )
|
||||
irow = indc % n_svd
|
||||
icol = indc // n_svd
|
||||
if( irow!=0 ):
|
||||
Ci_h_matrix_svd[irow-1][icol] = float( line[2] )
|
||||
else:
|
||||
Ci_h_matrix_svd[n_svd-1][icol-1] = float( line[2] )
|
||||
# !!!
|
||||
# !!!
|
||||
# Ci_h_matrix_svd = np.reshape(Ci_h_matrix_svd, (n_svd, n_svd), order='F')
|
||||
# !!!
|
||||
return(Ci_h_matrix_svd)
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def get_Ci_overlap_matrix_svd(n_svd):
|
||||
# !!!
|
||||
Ci_overlap_matrix_svd = np.zeros( (n_svd,n_svd) )
|
||||
# !!!
|
||||
beg_Ci_overlap_matrix_svd = results.find('Ci_overlap_matrix_svd : [ ') + len( 'Ci_overlap_matrix_svd : [ ' )
|
||||
end_Ci_overlap_matrix_svd = len(results)#results.find('Ci_h_matrix_svd : [')
|
||||
Ci_overlap_matrix_svd_buf = results[beg_Ci_overlap_matrix_svd:end_Ci_overlap_matrix_svd]
|
||||
Ci_overlap_matrix_svd_buf = Ci_overlap_matrix_svd_buf.split( '\n' )
|
||||
# !!!
|
||||
for iline in range(1, n_svd**2+1):
|
||||
# !!!
|
||||
line = Ci_overlap_matrix_svd_buf[iline].split()
|
||||
indc = int( line[0] )
|
||||
# !!!
|
||||
errS = float( line[4] )
|
||||
#if( errS>eps ):
|
||||
#print( line )
|
||||
if( indc != iline ):
|
||||
print('Error in reading Ci_overlap_matrix_svd')
|
||||
stop
|
||||
# !!!
|
||||
# !!!
|
||||
else:
|
||||
#Ci_overlap_matrix_svd[indc-1] = float( line[2] )
|
||||
irow = indc % n_svd
|
||||
icol = indc // n_svd
|
||||
if( irow!=0 ):
|
||||
Ci_overlap_matrix_svd[irow-1][icol] = float( line[2] )
|
||||
else:
|
||||
Ci_overlap_matrix_svd[n_svd-1][icol-1] = float( line[2] )
|
||||
# !!!
|
||||
# !!!
|
||||
# !!!
|
||||
#Ci_overlap_matrix_svd = np.reshape(Ci_overlap_matrix_svd, (n_svd, n_svd), order='F')
|
||||
# !!!
|
||||
return(Ci_overlap_matrix_svd)
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def get_Ci_h_matrix_postsvd(n_svd):
|
||||
#file = open('verif_order.txt','w')
|
||||
# !!!
|
||||
Ci_h_matrix_postsvd = np.zeros( (n_svd*n_svd , n_svd*n_svd) )
|
||||
# !!!
|
||||
beg_Ci_h_matrix_postsvd = results.find('Ci_h_matrix_postsvd : [ ') + len( 'Ci_h_matrix_postsvd : [ ' )
|
||||
end_Ci_h_matrix_postsvd = len(results)
|
||||
Ci_h_matrix_postsvd_buf = results[beg_Ci_h_matrix_postsvd:end_Ci_h_matrix_postsvd]
|
||||
Ci_h_matrix_postsvd_buf = Ci_h_matrix_postsvd_buf.split( '\n' )
|
||||
# !!!
|
||||
for iline in range(1, n_svd**4+1):
|
||||
# !!!
|
||||
line = Ci_h_matrix_postsvd_buf[iline].split()
|
||||
indc = int( line[0] )
|
||||
errS = float( line[4] )
|
||||
#if( errS>eps ):
|
||||
#print( line )
|
||||
if( indc != iline ):
|
||||
print('Error in reading Ci_h_matrix_postsvd')
|
||||
stop
|
||||
else:
|
||||
# !!!
|
||||
kp = indc % n_svd
|
||||
if( ( indc % n_svd ) !=0 ):
|
||||
kp = indc % n_svd
|
||||
else:
|
||||
kp = n_svd
|
||||
indc1 = int( ( indc - kp ) / n_svd )
|
||||
k = indc1 % n_svd + 1
|
||||
indc2 = int( ( indc1 - (k-1) ) / n_svd )
|
||||
lp = indc2 % n_svd + 1
|
||||
l = int( ( indc2 - (lp-1) ) / n_svd ) + 1
|
||||
# !!!
|
||||
#indcrep = kp + (k-1)*n_svd + (lp-1)*n_svd**2 + (l-1)*n_svd**3
|
||||
#file.write( '{:5} {:5} {:5} {:5} {:5} {:5} \n'.format(indc, indc-indcrep, kp, k, lp, l ) )
|
||||
# !!!
|
||||
irow = kp + (k-1)*n_svd - 1
|
||||
icol = lp + (l-1)*n_svd - 1
|
||||
Ci_h_matrix_postsvd[irow][icol] = float( line[2] )
|
||||
#Ci_h_matrix_postsvd[indc-1] = float( line[2] )
|
||||
# !!!
|
||||
#Ci_h_matrix_postsvd = np.reshape(Ci_h_matrix_postsvd, (n_svd*n_svd, n_svd*n_svd), order='F')
|
||||
# !!!
|
||||
#file.close()
|
||||
return(Ci_h_matrix_postsvd)
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def get_Ci_overlap_matrix_postsvd(n_svd):
|
||||
# !!!
|
||||
Ci_overlap_matrix_postsvd = np.zeros( (n_svd*n_svd , n_svd*n_svd) )
|
||||
# !!!
|
||||
beg_Ci_overlap_matrix_postsvd = results.find('Ci_overlap_matrix_postsvd : [ ') + len( 'Ci_overlap_matrix_postsvd : [ ' )
|
||||
end_Ci_overlap_matrix_postsvd = len(results)
|
||||
Ci_overlap_matrix_postsvd_buf = results[beg_Ci_overlap_matrix_postsvd:end_Ci_overlap_matrix_postsvd]
|
||||
Ci_overlap_matrix_postsvd_buf = Ci_overlap_matrix_postsvd_buf.split( '\n' )
|
||||
# !!!
|
||||
for iline in range(1, n_svd**4+1):
|
||||
# !!!
|
||||
line = Ci_overlap_matrix_postsvd_buf[iline].split()
|
||||
indc = int( line[0] )
|
||||
errS = float( line[4] )
|
||||
#if( errS>eps ):
|
||||
#print( line )
|
||||
if( indc != iline ):
|
||||
print('Error in reading Ci_overlap_matrix_postsvd')
|
||||
stop
|
||||
else:
|
||||
# !!!
|
||||
kp = indc % n_svd
|
||||
if( ( indc % n_svd ) !=0 ):
|
||||
kp = indc % n_svd
|
||||
else:
|
||||
kp = n_svd
|
||||
indc1 = int( ( indc - kp ) / n_svd )
|
||||
k = indc1 % n_svd + 1
|
||||
indc2 = int( ( indc1 - (k-1) ) / n_svd )
|
||||
lp = indc2 % n_svd + 1
|
||||
l = int( ( indc2 - (lp-1) ) / n_svd ) + 1
|
||||
# !!!
|
||||
irow = kp + (k-1)*n_svd - 1
|
||||
icol = lp + (l-1)*n_svd - 1
|
||||
Ci_overlap_matrix_postsvd[irow][icol] = float( line[2] )
|
||||
#Ci_overlap_matrix_postsvd[indc-1] = float( line[2] )
|
||||
# !!!
|
||||
# !!!
|
||||
#Ci_overlap_matrix_postsvd = np.reshape(Ci_overlap_matrix_postsvd, (n_svd*n_svd, n_svd*n_svd), order='F')
|
||||
# !!!
|
||||
return(Ci_overlap_matrix_postsvd)
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def check_symmetric(a, tol=1e-3):
|
||||
return np.all(np.abs(a-a.T) < tol)
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
t0 = time.time()
|
||||
# !!!
|
||||
filename = "/home/aammar/qp2/src/svdwf/h2o_pseudo"
|
||||
ezfio.set_file(filename)
|
||||
# !!!
|
||||
psi_svd_coeff = np.array(ezfio.get_spindeterminants_psi_svd_coefs())
|
||||
U_svd = np.array(ezfio.get_spindeterminants_psi_svd_alpha())
|
||||
V_svd = np.array(ezfio.get_spindeterminants_psi_svd_beta())
|
||||
# !!!
|
||||
print("Today's date:", datetime.now() )
|
||||
print("filename = {}".format(filename))
|
||||
# !!!
|
||||
#set_vmc_params()
|
||||
#run_qmc()
|
||||
#print("start QMC:")
|
||||
#stop_qmc()
|
||||
# !!!
|
||||
results = subprocess.check_output(['qmcchem', 'result', filename], encoding='UTF-8')
|
||||
# !!!
|
||||
#file = open('results.txt','a')
|
||||
#file.write('\n \n \n')
|
||||
#file.write('- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -\n \n')
|
||||
#file.write("Today's date: {}\n".format(datetime.now()) )
|
||||
#file.write("filename = {}\n".format(filename))
|
||||
#file.write('\n')
|
||||
#file.write( results )
|
||||
#file.write('\n')
|
||||
#file.write('+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +\n \n')
|
||||
#file.close()
|
||||
# !!!
|
||||
E_loc, ErrEloc = get_energy()
|
||||
print('Eloc = {} +/- {}'.format(E_loc, ErrEloc))
|
||||
# !!!
|
||||
n_svd = 10
|
||||
E_toadd = 6.983610961797779
|
||||
# !!!
|
||||
Ci_h_matrix_svd = get_Ci_h_matrix_svd(n_svd)
|
||||
#print( 'Ci_h_matrix_svd is symmetric ? {}' .format(check_symmetric(Ci_h_matrix_svd)) )
|
||||
Ci_overlap_matrix_svd = get_Ci_overlap_matrix_svd(n_svd)
|
||||
#print( 'Ci_overlap_matrix_svd is symmetric ? {}' .format(check_symmetric(Ci_overlap_matrix_svd)) )
|
||||
# !!!
|
||||
aa = Ci_h_matrix_svd
|
||||
aa = 0.5*( aa + aa.T )
|
||||
bb = Ci_overlap_matrix_svd
|
||||
eigvals_svd, vr = eig(aa, bb, left=False, right=True, overwrite_a=True, overwrite_b=True, check_finite=True, homogeneous_eigvals=False)
|
||||
print( eigvals_svd + E_toadd )
|
||||
# !!!
|
||||
recouvre_svd = np.abs(psi_svd_coeff @ vr)
|
||||
ind_gssvd = np.argmax(recouvre_svd)
|
||||
print('svd : ', ind_gssvd, eigvals_svd[ind_gssvd] + E_toadd )
|
||||
# !!!
|
||||
Ci_h_matrix_postsvd = get_Ci_h_matrix_postsvd(n_svd)
|
||||
#print( 'Ci_h_matrix_postsvd is symmetric ? {}' .format(check_symmetric(Ci_h_matrix_postsvd)) )
|
||||
Ci_overlap_matrix_postsvd = get_Ci_overlap_matrix_postsvd(n_svd)
|
||||
#print( 'Ci_overlap_matrix_postsvd is symmetric ? {}' .format(check_symmetric(Ci_overlap_matrix_postsvd)) )
|
||||
# !!!
|
||||
aa = Ci_h_matrix_postsvd
|
||||
aa = 0.5*( aa + aa.T )
|
||||
bb = Ci_overlap_matrix_postsvd
|
||||
eigvals_postsvd, vr = eig(aa, bb, left=False, right=True, overwrite_a=True, overwrite_b=True, check_finite=True, homogeneous_eigvals=False)
|
||||
print( eigvals_postsvd + E_toadd )
|
||||
# !!!
|
||||
d_postsvd = np.diagflat(psi_svd_coeff)
|
||||
d_postsvd = d_postsvd.reshape( (1,n_svd*n_svd) )
|
||||
recouvre_postsvd = np.abs(d_postsvd @ vr)
|
||||
ind_gspostsvd = np.argmax(recouvre_postsvd)
|
||||
print('post svd :', ind_gspostsvd, eigvals_postsvd[ind_gspostsvd]+E_toadd )
|
||||
# !!!
|
||||
print("end code after {:.3f} minutes".format((time.time()-t0)/60.) )
|
||||
# !!!
|
||||
# !!!
|
||||
|
||||
|
481
src/test_SVD/h2o/QMCCHEM_withSVD.py
Executable file
481
src/test_SVD/h2o/QMCCHEM_withSVD.py
Executable file
@ -0,0 +1,481 @@
|
||||
# !!!
|
||||
import sys, os
|
||||
QMCCHEM_PATH=os.environ["QMCCHEM_PATH"]
|
||||
sys.path.insert(0,QMCCHEM_PATH+"/EZFIO/Python/")
|
||||
# !!!
|
||||
from ezfio import ezfio
|
||||
from math import sqrt
|
||||
from datetime import datetime
|
||||
import time
|
||||
import numpy as np
|
||||
import subprocess
|
||||
from scipy.linalg import eig, eigh
|
||||
from RSVD import powit_RSVD
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def get_energy():
|
||||
buffer = subprocess.check_output(['qmcchem', 'result', '-e', 'e_loc', EZFIO_file], encoding='UTF-8')
|
||||
if buffer.strip() != "":
|
||||
buffer = buffer.splitlines()[-1]
|
||||
_, energy, error = [float(x) for x in buffer.split()]
|
||||
return energy, error
|
||||
else:
|
||||
return None, None
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def get_Ci_h_matrix_svd():
|
||||
# !!!
|
||||
Ci_h_matrix_svd = np.zeros( (n_svd,n_svd) )
|
||||
# !!!
|
||||
beg_Ci_h_matrix_svd = results.find('Ci_h_matrix_svd : [ ') + len( 'Ci_h_matrix_svd : [ ' )
|
||||
end_Ci_h_matrix_svd = len(results)
|
||||
Ci_h_matrix_svd_buf = results[beg_Ci_h_matrix_svd:end_Ci_h_matrix_svd]
|
||||
Ci_h_matrix_svd_buf = Ci_h_matrix_svd_buf.split( '\n' )
|
||||
# !!!
|
||||
for iline in range(1, n_svd**2+1):
|
||||
# !!!
|
||||
line = Ci_h_matrix_svd_buf[iline].split()
|
||||
indc = int( line[0] )
|
||||
errS = float( line[4] )
|
||||
#if( errS>eps ):
|
||||
#print( line )
|
||||
if( indc != iline ):
|
||||
print('Error in reading Ci_h_matrix_svd')
|
||||
break
|
||||
else:
|
||||
#Ci_h_matrix_svd[indc-1] = float( line[2] )
|
||||
irow = indc % n_svd
|
||||
icol = indc // n_svd
|
||||
if( irow!=0 ):
|
||||
Ci_h_matrix_svd[irow-1][icol] = float( line[2] )
|
||||
else:
|
||||
Ci_h_matrix_svd[n_svd-1][icol-1] = float( line[2] )
|
||||
# !!!
|
||||
# !!!
|
||||
# Ci_h_matrix_svd = np.reshape(Ci_h_matrix_svd, (n_svd, n_svd), order='F')
|
||||
# !!!
|
||||
return(Ci_h_matrix_svd)
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def get_Ci_overlap_matrix_svd():
|
||||
# !!!
|
||||
Ci_overlap_matrix_svd = np.zeros( (n_svd,n_svd) )
|
||||
# !!!
|
||||
beg_Ci_overlap_matrix_svd = results.find('Ci_overlap_matrix_svd : [ ') + len( 'Ci_overlap_matrix_svd : [ ' )
|
||||
end_Ci_overlap_matrix_svd = len(results)
|
||||
Ci_overlap_matrix_svd_buf = results[beg_Ci_overlap_matrix_svd:end_Ci_overlap_matrix_svd]
|
||||
Ci_overlap_matrix_svd_buf = Ci_overlap_matrix_svd_buf.split( '\n' )
|
||||
# !!!
|
||||
for iline in range(1, n_svd**2+1):
|
||||
# !!!
|
||||
line = Ci_overlap_matrix_svd_buf[iline].split()
|
||||
indc = int( line[0] )
|
||||
# !!!
|
||||
errS = float( line[4] )
|
||||
#if( errS>eps ):
|
||||
#print( line )
|
||||
if( indc != iline ):
|
||||
print('Error in reading Ci_overlap_matrix_svd')
|
||||
break
|
||||
# !!!
|
||||
# !!!
|
||||
else:
|
||||
#Ci_overlap_matrix_svd[indc-1] = float( line[2] )
|
||||
irow = indc % n_svd
|
||||
icol = indc // n_svd
|
||||
if( irow!=0 ):
|
||||
Ci_overlap_matrix_svd[irow-1][icol] = float( line[2] )
|
||||
else:
|
||||
Ci_overlap_matrix_svd[n_svd-1][icol-1] = float( line[2] )
|
||||
# !!!
|
||||
# !!!
|
||||
# !!!
|
||||
#Ci_overlap_matrix_svd = np.reshape(Ci_overlap_matrix_svd, (n_svd, n_svd), order='F')
|
||||
# !!!
|
||||
return(Ci_overlap_matrix_svd)
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def get_Ci_h_matrix_postsvd():
|
||||
#file = open('verif_order.txt','w')
|
||||
# !!!
|
||||
Ci_h_matrix_postsvd = np.zeros( (n_svd*n_svd , n_svd*n_svd) )
|
||||
# !!!
|
||||
beg_Ci_h_matrix_postsvd = results.find('Ci_h_matrix_postsvd : [ ') + len( 'Ci_h_matrix_postsvd : [ ' )
|
||||
end_Ci_h_matrix_postsvd = len(results)
|
||||
Ci_h_matrix_postsvd_buf = results[beg_Ci_h_matrix_postsvd:end_Ci_h_matrix_postsvd]
|
||||
Ci_h_matrix_postsvd_buf = Ci_h_matrix_postsvd_buf.split( '\n' )
|
||||
# !!!
|
||||
for iline in range(1, n_svd**4+1):
|
||||
# !!!
|
||||
line = Ci_h_matrix_postsvd_buf[iline].split()
|
||||
indc = int( line[0] )
|
||||
errS = float( line[4] )
|
||||
#if( errS>eps ):
|
||||
#print( line )
|
||||
if( indc != iline ):
|
||||
print('Error in reading Ci_h_matrix_postsvd')
|
||||
break
|
||||
else:
|
||||
# !!!
|
||||
kp = indc % n_svd
|
||||
if( ( indc % n_svd ) !=0 ):
|
||||
kp = indc % n_svd
|
||||
else:
|
||||
kp = n_svd
|
||||
indc1 = int( ( indc - kp ) / n_svd )
|
||||
k = indc1 % n_svd + 1
|
||||
indc2 = int( ( indc1 - (k-1) ) / n_svd )
|
||||
lp = indc2 % n_svd + 1
|
||||
l = int( ( indc2 - (lp-1) ) / n_svd ) + 1
|
||||
# !!!
|
||||
#indcrep = kp + (k-1)*n_svd + (lp-1)*n_svd**2 + (l-1)*n_svd**3
|
||||
#file.write( '{:5} {:5} {:5} {:5} {:5} {:5} \n'.format(indc, indc-indcrep, kp, k, lp, l ) )
|
||||
# !!!
|
||||
irow = kp + (k-1)*n_svd - 1
|
||||
icol = lp + (l-1)*n_svd - 1
|
||||
Ci_h_matrix_postsvd[irow][icol] = float( line[2] )
|
||||
#Ci_h_matrix_postsvd[indc-1] = float( line[2] )
|
||||
# !!!
|
||||
#Ci_h_matrix_postsvd = np.reshape(Ci_h_matrix_postsvd, (n_svd*n_svd, n_svd*n_svd), order='F')
|
||||
# !!!
|
||||
#file.close()
|
||||
return(Ci_h_matrix_postsvd)
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def get_Ci_overlap_matrix_postsvd():
|
||||
# !!!
|
||||
Ci_overlap_matrix_postsvd = np.zeros( (n_svd*n_svd , n_svd*n_svd) )
|
||||
# !!!
|
||||
beg_Ci_overlap_matrix_postsvd = results.find('Ci_overlap_matrix_postsvd : [ ') + len( 'Ci_overlap_matrix_postsvd : [ ' )
|
||||
end_Ci_overlap_matrix_postsvd = len(results)
|
||||
Ci_overlap_matrix_postsvd_buf = results[beg_Ci_overlap_matrix_postsvd:end_Ci_overlap_matrix_postsvd]
|
||||
Ci_overlap_matrix_postsvd_buf = Ci_overlap_matrix_postsvd_buf.split( '\n' )
|
||||
# !!!
|
||||
for iline in range(1, n_svd**4+1):
|
||||
# !!!
|
||||
line = Ci_overlap_matrix_postsvd_buf[iline].split()
|
||||
indc = int( line[0] )
|
||||
errS = float( line[4] )
|
||||
#if( errS>eps ):
|
||||
#print( line )
|
||||
if( indc != iline ):
|
||||
print('Error in reading Ci_overlap_matrix_postsvd')
|
||||
break
|
||||
else:
|
||||
# !!!
|
||||
#kp = indc % n_svd
|
||||
if( ( indc % n_svd ) !=0 ):
|
||||
kp = indc % n_svd
|
||||
else:
|
||||
kp = n_svd
|
||||
indc1 = int( ( indc - kp ) / n_svd )
|
||||
k = indc1 % n_svd + 1
|
||||
indc2 = int( ( indc1 - (k-1) ) / n_svd )
|
||||
lp = indc2 % n_svd + 1
|
||||
l = int( ( indc2 - (lp-1) ) / n_svd ) + 1
|
||||
# !!!
|
||||
irow = kp + (k-1)*n_svd - 1
|
||||
icol = lp + (l-1)*n_svd - 1
|
||||
Ci_overlap_matrix_postsvd[irow][icol] = float( line[2] )
|
||||
#Ci_overlap_matrix_postsvd[indc-1] = float( line[2] )
|
||||
# !!!
|
||||
# !!!
|
||||
#Ci_overlap_matrix_postsvd = np.reshape(Ci_overlap_matrix_postsvd, (n_svd*n_svd, n_svd*n_svd), order='F')
|
||||
# !!!
|
||||
return(Ci_overlap_matrix_postsvd)
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def check_symmetric(a, tol=1e-3):
|
||||
return np.all(np.abs(a-a.T) < tol)
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def save_results_to_resultsQMC():
|
||||
file = open('resultsQMC.txt','a')
|
||||
file.write('\n \n \n')
|
||||
file.write('- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -\n \n')
|
||||
file.write("Today's date: {}\n".format(datetime.now()))
|
||||
file.write("EZFIO file = {}\n".format(EZFIO_file))
|
||||
file.write('\n')
|
||||
file.write( results )
|
||||
file.write('\n')
|
||||
file.write('+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +\n \n')
|
||||
file.close()
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def get_Esvd():
|
||||
# !!!
|
||||
# read CI_SVD matrices
|
||||
Ci_h_matrix_svd = get_Ci_h_matrix_svd()
|
||||
Ci_overlap_matrix_svd = get_Ci_overlap_matrix_svd()
|
||||
#print( 'Ci_h_matrix_svd is symmetric ? {}' .format(check_symmetric(Ci_h_matrix_svd)) )
|
||||
#print( 'Ci_overlap_matrix_svd is symmetric ? {}' .format(check_symmetric(Ci_overlap_matrix_svd)) )
|
||||
# !!!
|
||||
# symmetrise and diagonalise
|
||||
aa = Ci_h_matrix_svd
|
||||
aa = 0.5*( aa + aa.T )
|
||||
bb = Ci_overlap_matrix_svd
|
||||
eigvals_svd, vr = eig(aa, bb, left=False, right=True, overwrite_a=True, overwrite_b=True,
|
||||
check_finite=True, homogeneous_eigvals=False)
|
||||
#print( eigvals_svd + E_toadd )
|
||||
recouvre_svd = np.abs(psi_svd_coeff @ vr)
|
||||
ind_gssvd = np.argmax(recouvre_svd)
|
||||
# !!!
|
||||
E_svd = eigvals_svd[ind_gssvd] + E_toadd
|
||||
return( E_svd, vr[:,ind_gssvd] )
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def get_Epostsvd():
|
||||
# !!!
|
||||
# read CI_postSVD matrices
|
||||
Ci_h_matrix_postsvd = get_Ci_h_matrix_postsvd()
|
||||
Ci_overlap_matrix_postsvd = get_Ci_overlap_matrix_postsvd()
|
||||
#print( 'Ci_h_matrix_postsvd is symmetric ? {}' .format(check_symmetric(Ci_h_matrix_postsvd)) )
|
||||
#print( 'Ci_overlap_matrix_postsvd is symmetric ? {}' .format(check_symmetric(Ci_overlap_matrix_postsvd)) )
|
||||
# !!!
|
||||
# symmetrise and diagonalise
|
||||
aa = Ci_h_matrix_postsvd
|
||||
aa = 0.5*( aa + aa.T )
|
||||
bb = Ci_overlap_matrix_postsvd
|
||||
eigvals_postsvd, vr = eig(aa, bb, left=False, right=True, overwrite_a=True, overwrite_b=True,
|
||||
check_finite=True, homogeneous_eigvals=False)
|
||||
#print( eigvals_postsvd + E_toadd )
|
||||
d_postsvd = np.diagflat(psi_svd_coeff)
|
||||
d_postsvd = d_postsvd.reshape( (1,n_svd*n_svd) )
|
||||
recouvre_postsvd = np.abs(d_postsvd @ vr)
|
||||
ind_gspostsvd = np.argmax(recouvre_postsvd)
|
||||
#print(recouvre_postsvd, ind_gspostsvd)
|
||||
# !!!
|
||||
#print( eigvals_postsvd.shape )
|
||||
E_postsvd = eigvals_postsvd[ind_gspostsvd] + E_toadd
|
||||
# !!!
|
||||
return( E_postsvd, vr[:,ind_gspostsvd] )
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def SVD_postsvd(sigma_postsvd):
|
||||
# !!!
|
||||
print( 'performing new SVD for the post SVD eigenvector:' )
|
||||
# !!!
|
||||
#sigma_postsvd = sigma_postsvd.reshape( (n_svd,n_svd) )
|
||||
#sigma_postsvd = sigma_postsvd.reshape( n_svd, n_svd, order='F' )
|
||||
#print( 'sigma_postsvd is symmetric ? {}' .format(check_symmetric(sigma_postsvd)) )
|
||||
# !!!
|
||||
sigma_postsvd_mat = np.zeros( (n_svd,n_svd) )
|
||||
for indc in range(1, n_svd**2+1):
|
||||
if( ( indc % n_svd ) !=0 ):
|
||||
kp = indc % n_svd
|
||||
else:
|
||||
kp = n_svd
|
||||
indc1 = int( ( indc - kp ) / n_svd )
|
||||
k = indc1 % n_svd + 1
|
||||
irow = kp + (k-1)*n_svd - 1
|
||||
sigma_postsvd_mat[kp-1][k-1] = sigma_postsvd[irow]
|
||||
sigma_postsvd = sigma_postsvd_mat
|
||||
# !!!
|
||||
# construct the new matrix Y
|
||||
Y = U_svd @ sigma_postsvd @ V_svd.T
|
||||
normY = np.linalg.norm(Y, ord='fro')
|
||||
# !!!
|
||||
# parameters of RSVD
|
||||
rank = n_svd
|
||||
npow = 10
|
||||
nb_oversamp = 10
|
||||
# !!!
|
||||
# call RSV
|
||||
U_postSVD, sigma_postsvd_diag, VT_postsvd = powit_RSVD(Y, rank, npow, nb_oversamp)
|
||||
# !!!
|
||||
# check precision
|
||||
Y_SVD = np.dot( U_postSVD , np.dot( np.diag(sigma_postsvd_diag) , VT_postsvd ) )
|
||||
energy = np.sum( np.square(sigma_postsvd_diag) ) / normY**2
|
||||
err_SVD = 100. * np.linalg.norm( Y - Y_SVD, ord="fro") / normY
|
||||
print('energy = {}, error = {}\n'.format(energy, err_SVD))
|
||||
# !!!
|
||||
return(U_postSVD, sigma_postsvd_diag, VT_postsvd)
|
||||
# !!!
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def get_Hsvd_QP(Hsvd_qp_txt):
|
||||
Hsvd_qp = np.zeros( (n_svd,n_svd) )
|
||||
Hsvd_qp_file = open(Hsvd_qp_txt, 'r')
|
||||
for line in Hsvd_qp_file:
|
||||
line = line.split()
|
||||
i = int(line[0]) - 1
|
||||
j = int(line[1]) - 1
|
||||
Hsvd_qp[i,j] = float(line[2])
|
||||
return(Hsvd_qp)
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
def get_Esvd_QP(Hsvd_qp):
|
||||
# !!!
|
||||
# symmetrise and diagonalise
|
||||
aa = Hsvd_qp
|
||||
aa = 0.5*( aa + aa.T )
|
||||
bb = np.identity(n_svd)
|
||||
eigvals_svd, vr = eig(aa, bb, left=False, right=True, overwrite_a=True, overwrite_b=True,
|
||||
check_finite=True, homogeneous_eigvals=False)
|
||||
recouvre_svd = np.abs(psi_svd_coeff @ vr)
|
||||
ind_gssvd = np.argmax(recouvre_svd)
|
||||
E_svd = eigvals_svd[ind_gssvd] + E_toadd
|
||||
return( E_svd, vr[:,ind_gssvd] )
|
||||
# ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ ! ~ !
|
||||
|
||||
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
t0 = time.time()
|
||||
# !!!
|
||||
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
|
||||
EZFIO_file = "/home/aammar/qp2/src/svdwf/h2o_631g_frez_Jopt_nsvd20"
|
||||
E_toadd = 9.194966082434476 #6.983610961797779
|
||||
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
|
||||
# !!!
|
||||
ezfio.set_file(EZFIO_file)
|
||||
n_svd = ezfio.get_spindeterminants_n_svd_coefs()
|
||||
psi_svd_coeff = np.array(ezfio.get_spindeterminants_psi_svd_coefs())
|
||||
U_svd = np.array(ezfio.get_spindeterminants_psi_svd_alpha())
|
||||
V_svd = np.array(ezfio.get_spindeterminants_psi_svd_beta())
|
||||
# !!!
|
||||
#print( U_svd.shape )
|
||||
U_svd = U_svd[0,:,:].T
|
||||
#print( U_svd.shape )
|
||||
V_svd = V_svd[0,:,:].T
|
||||
# !!!
|
||||
print("Today's date:", datetime.now() )
|
||||
print("EZFIO file = {}".format(EZFIO_file))
|
||||
print("nuclear energy = {}".format(E_toadd) )
|
||||
print("n_svd = {} \n".format(n_svd) )
|
||||
# !!!
|
||||
#set_vmc_params()
|
||||
#run_qmc()
|
||||
#print("start QMC:")
|
||||
#stop_qmc()
|
||||
# !!!
|
||||
print( 'getting QMCCHEM results from {}'.format(EZFIO_file) )
|
||||
results = subprocess.check_output(['qmcchem', 'result', EZFIO_file], encoding='UTF-8')
|
||||
# !!!
|
||||
Eloc, ErrEloc = get_energy()
|
||||
print('Eloc = {} +/- {}'.format(Eloc, ErrEloc))
|
||||
print('{} <= Eloc <= {}\n'.format(Eloc-ErrEloc,Eloc+ErrEloc))
|
||||
# !!!
|
||||
save_resultsQMC = input( 'save QMC results from {}? (y/n) '.format(EZFIO_file) )
|
||||
if( save_resultsQMC == 'y' ):
|
||||
print('saving in resultsQMC.txt')
|
||||
save_results_to_resultsQMC()
|
||||
print('\n')
|
||||
# !!!
|
||||
read_QPsvd = input( 'read QP Hsvd matrix ? (y/n) ')
|
||||
if( read_QPsvd == 'y' ):
|
||||
Hsvd_qp_txt = input('name of file with QM H_svd matrix:')
|
||||
Hsvd_qp = get_Hsvd_QP(Hsvd_qp_txt)
|
||||
E_svd_QP, sigma_svd_QP = get_Esvd_QP(Hsvd_qp)
|
||||
print('QP SVD enegry = {} \n'.format(E_svd_QP) )
|
||||
print('\n')
|
||||
# !!!
|
||||
E_svd, sigma_svd = get_Esvd()
|
||||
print('svd enegry = {} \n '.format(E_svd) )
|
||||
# !!!
|
||||
E_postsvd, sigma_postsvd = get_Epostsvd()
|
||||
print('post svd energy = {} \n'.format(E_postsvd) )
|
||||
# !!!
|
||||
save_to_EZFIO = input( "modify EZFIO (with svd_QP, svd_QMC or postsvd)? " )
|
||||
# !!!
|
||||
if( save_to_EZFIO == 'svd_QMC' ):
|
||||
ezfio.set_spindeterminants_psi_svd_coefs( sigma_svd )
|
||||
direc_svdcoeff = EZFIO_file + '/spindeterminants/psi_svd_coefs.gz'
|
||||
print( '{} is modified'.format(direc_svdcoeff) )
|
||||
print( 'precedent svd coeff:' )
|
||||
print(psi_svd_coeff)
|
||||
print( 'current svd coeff:' )
|
||||
print(sigma_svd)
|
||||
# !!!
|
||||
elif( save_to_EZFIO == 'svd_QP'):
|
||||
ezfio.set_spindeterminants_psi_svd_coefs( sigma_svd_QP )
|
||||
direc_svdcoeff = EZFIO_file + '/spindeterminants/psi_svd_coefs.gz'
|
||||
print( '{} is modified'.format(direc_svdcoeff) )
|
||||
print( 'precedent svd coeff:' )
|
||||
print(psi_svd_coeff)
|
||||
print( 'current svd coeff:' )
|
||||
print(sigma_svd_QP)
|
||||
# !!!
|
||||
elif( save_to_EZFIO == 'postsvd' ):
|
||||
# SVD first
|
||||
U_postSVD, sigma_postsvd_diag, V_postSVD = SVD_postsvd(sigma_postsvd)
|
||||
V_postSVD = V_postSVD.T
|
||||
# save next in ezfio file
|
||||
U_postSVD_toEZFIO = np.zeros( ( U_postSVD.shape[0], U_postSVD.shape[1], 1) )
|
||||
V_postSVD_toEZFIO = np.zeros( ( V_postSVD.shape[0], V_postSVD.shape[1], 1) )
|
||||
U_postSVD_toEZFIO[:,:,0] = U_postSVD
|
||||
V_postSVD_toEZFIO[:,:,0] = V_postSVD
|
||||
#
|
||||
ezfio.set_spindeterminants_psi_svd_alpha( U_postSVD_toEZFIO )
|
||||
ezfio.set_spindeterminants_psi_svd_coefs( sigma_postsvd_diag )
|
||||
ezfio.set_spindeterminants_psi_svd_beta( V_postSVD_toEZFIO )
|
||||
print(sigma_postsvd_diag)
|
||||
# !!!
|
||||
else:
|
||||
print("end after {:.3f} minutes".format((time.time()-t0)/60.) )
|
||||
exit()
|
||||
# !!!
|
||||
print("end after {:.3f} minutes".format((time.time()-t0)/60.) )
|
||||
# !!!
|
||||
# !!!
|
||||
|
||||
|
10
src/test_SVD/h2o/QR.py
Normal file
10
src/test_SVD/h2o/QR.py
Normal file
@ -0,0 +1,10 @@
|
||||
# !!!
|
||||
import numpy as np
|
||||
# !!!
|
||||
def QR_fact(X):
|
||||
Q, R = np.linalg.qr(X, mode="reduced")
|
||||
D = np.diag( np.sign( np.diag(R) ) )
|
||||
Qunique = np.dot(Q,D)
|
||||
#Runique = np.dot(D,R)
|
||||
return(Qunique)
|
||||
# !!!
|
20
src/test_SVD/h2o/RSVD.py
Normal file
20
src/test_SVD/h2o/RSVD.py
Normal file
@ -0,0 +1,20 @@
|
||||
# !!!
|
||||
import numpy as np
|
||||
from QR import QR_fact
|
||||
# !!!
|
||||
def powit_RSVD(X, new_r, nb_powit, nb_oversamp):
|
||||
# !!!
|
||||
G = np.random.randn(X.shape[1], new_r+nb_oversamp)
|
||||
Q = QR_fact( np.dot(X,G) )
|
||||
# !!!
|
||||
for _ in range(nb_powit):
|
||||
Q = QR_fact( np.dot(X.T,Q) )
|
||||
Q = QR_fact( np.dot(X,Q) )
|
||||
# !!!
|
||||
Y = np.dot(Q.T,X)
|
||||
# !!!
|
||||
U, S, VT = np.linalg.svd(Y, full_matrices=0)
|
||||
U = np.dot(Q,U)
|
||||
return U[:,:(new_r)], S[:(new_r)], VT[:(new_r),:]
|
||||
# !!!
|
||||
# !!!
|
@ -112,7 +112,11 @@ END_PROVIDER
|
||||
|
||||
allocate (psi_det_tmp (N_int,max(det_alpha_num,det_beta_num)))
|
||||
|
||||
if (utilise_svd) then
|
||||
t = -1.d0
|
||||
else
|
||||
t = ci_threshold
|
||||
endif
|
||||
|
||||
! Compute the norm of the alpha and beta determinants
|
||||
d_alpha = 0.d0
|
||||
|
Loading…
Reference in New Issue
Block a user