Source code for pyscf.cc.gccsd

#!/usr/bin/env python
# Copyright 2014-2021 The PySCF Developers. All Rights Reserved.
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# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
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#     http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
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import numpy as np
from functools import reduce

from pyscf import lib
from pyscf import ao2mo
from pyscf import scf
from pyscf.lib import logger
from pyscf.cc import ccsd
from pyscf.cc import gintermediates as imd
from pyscf.cc.addons import spatial2spin, spin2spatial
from pyscf import __config__

MEMORYMIN = getattr(__config__, 'cc_ccsd_memorymin', 2000)

#einsum = np.einsum
einsum = lib.einsum

# This is unrestricted (U)CCSD in spin-orbital form.

[docs] def update_amps(cc, t1, t2, eris): assert (isinstance(eris, _PhysicistsERIs)) nocc, nvir = t1.shape fock = eris.fock fov = fock[:nocc,nocc:] mo_e_o = eris.mo_energy[:nocc] mo_e_v = eris.mo_energy[nocc:] + cc.level_shift tau = imd.make_tau(t2, t1, t1) Fvv = imd.cc_Fvv(t1, t2, eris) Foo = imd.cc_Foo(t1, t2, eris) Fov = imd.cc_Fov(t1, t2, eris) Woooo = imd.cc_Woooo(t1, t2, eris) Wvvvv = imd.cc_Wvvvv(t1, t2, eris) Wovvo = imd.cc_Wovvo(t1, t2, eris) # Move energy terms to the other side Fvv[np.diag_indices(nvir)] -= mo_e_v Foo[np.diag_indices(nocc)] -= mo_e_o # T1 equation t1new = einsum('ie,ae->ia', t1, Fvv) t1new += -einsum('ma,mi->ia', t1, Foo) t1new += einsum('imae,me->ia', t2, Fov) t1new += -einsum('nf,naif->ia', t1, eris.ovov) t1new += -0.5*einsum('imef,maef->ia', t2, eris.ovvv) t1new += -0.5*einsum('mnae,mnie->ia', t2, eris.ooov) t1new += fov.conj() # T2 equation Ftmp = Fvv - 0.5*einsum('mb,me->be', t1, Fov) tmp = einsum('ijae,be->ijab', t2, Ftmp) t2new = tmp - tmp.transpose(0,1,3,2) Ftmp = Foo + 0.5*einsum('je,me->mj', t1, Fov) tmp = einsum('imab,mj->ijab', t2, Ftmp) t2new -= tmp - tmp.transpose(1,0,2,3) t2new += np.asarray(eris.oovv).conj() t2new += 0.5*einsum('mnab,mnij->ijab', tau, Woooo) t2new += 0.5*einsum('ijef,abef->ijab', tau, Wvvvv) tmp = einsum('imae,mbej->ijab', t2, Wovvo) tmp -= -einsum('ie,ma,mbje->ijab', t1, t1, eris.ovov) tmp = tmp - tmp.transpose(1,0,2,3) tmp = tmp - tmp.transpose(0,1,3,2) t2new += tmp tmp = einsum('ie,jeba->ijab', t1, np.array(eris.ovvv).conj()) t2new += (tmp - tmp.transpose(1,0,2,3)) tmp = einsum('ma,ijmb->ijab', t1, np.asarray(eris.ooov).conj()) t2new -= (tmp - tmp.transpose(0,1,3,2)) eia = mo_e_o[:,None] - mo_e_v eijab = lib.direct_sum('ia,jb->ijab', eia, eia) t1new /= eia t2new /= eijab return t1new, t2new
[docs] def energy(cc, t1, t2, eris): nocc, nvir = t1.shape fock = eris.fock e = einsum('ia,ia', fock[:nocc,nocc:], t1) eris_oovv = np.array(eris.oovv) e += 0.25*np.einsum('ijab,ijab', t2, eris_oovv) e += 0.5 *np.einsum('ia,jb,ijab', t1, t1, eris_oovv) if abs(e.imag) > 1e-4: logger.warn(cc, 'Non-zero imaginary part found in GCCSD energy %s', e) return e.real
vector_to_amplitudes = ccsd.vector_to_amplitudes_s4 amplitudes_to_vector = ccsd.amplitudes_to_vector_s4
[docs] def amplitudes_from_rccsd(t1, t2, orbspin=None): '''Convert spatial orbital T1,T2 to spin-orbital T1,T2''' return spatial2spin(t1, orbspin), spatial2spin(t2, orbspin)
[docs] class GCCSD(ccsd.CCSDBase): conv_tol = getattr(__config__, 'cc_gccsd_GCCSD_conv_tol', 1e-7) conv_tol_normt = getattr(__config__, 'cc_gccsd_GCCSD_conv_tol_normt', 1e-6) def __init__(self, mf, frozen=None, mo_coeff=None, mo_occ=None): ccsd.CCSDBase.__init__(self, mf, frozen, mo_coeff, mo_occ)
[docs] def init_amps(self, eris=None): if eris is None: eris = self.ao2mo(self.mo_coeff) mo_e = eris.mo_energy nocc = self.nocc eia = mo_e[:nocc,None] - mo_e[None,nocc:] eijab = lib.direct_sum('ia,jb->ijab', eia, eia) t1 = eris.fock[:nocc,nocc:] / eia eris_oovv = np.array(eris.oovv) t2 = eris_oovv / eijab self.emp2 = 0.25*einsum('ijab,ijab', t2, eris_oovv.conj()).real logger.info(self, 'Init t2, MP2 energy = %.15g', self.emp2) return self.emp2, t1, t2
energy = energy update_amps = update_amps
[docs] def kernel(self, t1=None, t2=None, eris=None, mbpt2=False): return self.ccsd(t1, t2, eris, mbpt2=mbpt2)
[docs] def ccsd(self, t1=None, t2=None, eris=None, mbpt2=False): '''Ground-state unrestricted (U)CCSD. Kwargs: mbpt2 : bool Use one-shot MBPT2 approximation to CCSD. ''' if mbpt2: from pyscf.mp import gmp2 pt = gmp2.GMP2(self._scf, self.frozen, self.mo_coeff, self.mo_occ) self.e_corr, self.t2 = pt.kernel(eris=eris) nocc, nvir = self.t2.shape[1:3] self.t1 = np.zeros((nocc,nvir)) return self.e_corr, self.t1, self.t2 # Initialize orbspin so that we can attach it to t1, t2 if getattr(self.mo_coeff, 'orbspin', None) is None: orbspin = scf.ghf.guess_orbspin(self.mo_coeff) if not np.any(orbspin == -1): self.mo_coeff = lib.tag_array(self.mo_coeff, orbspin=orbspin) e_corr, self.t1, self.t2 = ccsd.CCSDBase.ccsd(self, t1, t2, eris) if getattr(eris, 'orbspin', None) is not None: self.t1 = lib.tag_array(self.t1, orbspin=eris.orbspin) self.t2 = lib.tag_array(self.t2, orbspin=eris.orbspin) return e_corr, self.t1, self.t2
[docs] def amplitudes_to_vector(self, t1, t2, out=None): return amplitudes_to_vector(t1, t2, out)
[docs] def vector_to_amplitudes(self, vec, nmo=None, nocc=None): if nocc is None: nocc = self.nocc if nmo is None: nmo = self.nmo return vector_to_amplitudes(vec, nmo, nocc)
[docs] def vector_size(self, nmo=None, nocc=None): if nocc is None: nocc = self.nocc if nmo is None: nmo = self.nmo nvir = nmo - nocc return nocc * nvir + nocc*(nocc-1)//2*nvir*(nvir-1)//2
[docs] def amplitudes_from_rccsd(self, t1, t2, orbspin=None): return amplitudes_from_rccsd(t1, t2, orbspin)
[docs] def solve_lambda(self, t1=None, t2=None, l1=None, l2=None, eris=None): from pyscf.cc import gccsd_lambda if t1 is None: t1 = self.t1 if t2 is None: t2 = self.t2 if eris is None: eris = self.ao2mo(self.mo_coeff) self.converged_lambda, self.l1, self.l2 = \ gccsd_lambda.kernel(self, eris, t1, t2, l1, l2, max_cycle=self.max_cycle, tol=self.conv_tol_normt, verbose=self.verbose) return self.l1, self.l2
[docs] def ccsd_t(self, t1=None, t2=None, eris=None): from pyscf.cc import gccsd_t if t1 is None: t1 = self.t1 if t2 is None: t2 = self.t2 if eris is None: eris = self.ao2mo(self.mo_coeff) return gccsd_t.kernel(self, eris, t1, t2, self.verbose)
[docs] def ipccsd(self, nroots=1, left=False, koopmans=False, guess=None, partition=None, eris=None): from pyscf.cc import eom_gccsd return eom_gccsd.EOMIP(self).kernel(nroots, left, koopmans, guess, partition, eris)
[docs] def eaccsd(self, nroots=1, left=False, koopmans=False, guess=None, partition=None, eris=None): from pyscf.cc import eom_gccsd return eom_gccsd.EOMEA(self).kernel(nroots, left, koopmans, guess, partition, eris)
[docs] def eeccsd(self, nroots=1, koopmans=False, guess=None, eris=None): from pyscf.cc import eom_gccsd return eom_gccsd.EOMEE(self).kernel(nroots, koopmans, guess, eris)
[docs] def eomip_method(self): from pyscf.cc import eom_gccsd return eom_gccsd.EOMIP(self)
[docs] def eomea_method(self): from pyscf.cc import eom_gccsd return eom_gccsd.EOMEA(self)
[docs] def eomee_method(self): from pyscf.cc import eom_gccsd return eom_gccsd.EOMEE(self)
[docs] def make_rdm1(self, t1=None, t2=None, l1=None, l2=None, ao_repr=False, with_frozen=True, with_mf=True): '''Un-relaxed 1-particle density matrix in MO space''' from pyscf.cc import gccsd_rdm if t1 is None: t1 = self.t1 if t2 is None: t2 = self.t2 if l1 is None: l1 = self.l1 if l2 is None: l2 = self.l2 if l1 is None: l1, l2 = self.solve_lambda(t1, t2) return gccsd_rdm.make_rdm1(self, t1, t2, l1, l2, ao_repr=ao_repr, with_frozen=with_frozen, with_mf=with_mf)
[docs] def make_rdm2(self, t1=None, t2=None, l1=None, l2=None, ao_repr=False, with_frozen=True, with_dm1=True): '''2-particle density matrix in MO space. The density matrix is stored as dm2[p,r,q,s] = <p^+ q^+ s r> ''' from pyscf.cc import gccsd_rdm if t1 is None: t1 = self.t1 if t2 is None: t2 = self.t2 if l1 is None: l1 = self.l1 if l2 is None: l2 = self.l2 if l1 is None: l1, l2 = self.solve_lambda(t1, t2) return gccsd_rdm.make_rdm2(self, t1, t2, l1, l2, ao_repr=ao_repr, with_frozen=with_frozen, with_dm1=with_dm1)
[docs] def ao2mo(self, mo_coeff=None): nmo = self.nmo mem_incore = nmo**4*2 * 8/1e6 mem_now = lib.current_memory()[0] if (self._scf._eri is not None and (mem_incore+mem_now < self.max_memory) or self.mol.incore_anyway): return _make_eris_incore(self, mo_coeff) elif getattr(self._scf, 'with_df', None): raise NotImplementedError else: return _make_eris_outcore(self, mo_coeff)
[docs] def amplitudes_from_ccsd(self, t1, t2): '''Convert spatial orbital T1,T2 to spin-orbital T1,T2''' return self.spatial2spin(t1), self.spatial2spin(t2)
[docs] def spatial2spin(self, tx, orbspin=None): if orbspin is None: orbspin = getattr(self.mo_coeff, 'orbspin', None) if orbspin is not None: orbspin = orbspin[self.get_frozen_mask()] return spatial2spin(tx, orbspin)
[docs] def spin2spatial(self, tx, orbspin=None): if orbspin is None: orbspin = getattr(self.mo_coeff, 'orbspin', None) if orbspin is not None: orbspin = orbspin[self.get_frozen_mask()] return spin2spatial(tx, orbspin)
to_gpu = lib.to_gpu
CCSD = GCCSD class _PhysicistsERIs: '''<pq||rs> = <pq|rs> - <pq|sr>''' def __init__(self, mol=None): self.mol = mol self.mo_coeff = None self.nocc = None self.fock = None self.orbspin = None self.oooo = None self.ooov = None self.oovv = None self.ovvo = None self.ovov = None self.ovvv = None self.vvvv = None def _common_init_(self, mycc, mo_coeff=None): if mo_coeff is None: mo_coeff = mycc.mo_coeff mo_idx = ccsd.get_frozen_mask(mycc) if getattr(mo_coeff, 'orbspin', None) is not None: self.orbspin = mo_coeff.orbspin[mo_idx] mo_coeff = lib.tag_array(mo_coeff[:,mo_idx], orbspin=self.orbspin) else: orbspin = scf.ghf.guess_orbspin(mo_coeff) mo_coeff = mo_coeff[:,mo_idx] if not np.any(orbspin == -1): self.orbspin = orbspin[mo_idx] mo_coeff = lib.tag_array(mo_coeff, orbspin=self.orbspin) self.mo_coeff = mo_coeff # Note: Recomputed fock matrix since SCF may not be fully converged. dm = mycc._scf.make_rdm1(mycc.mo_coeff, mycc.mo_occ) vhf = mycc._scf.get_veff(mycc.mol, dm) fockao = mycc._scf.get_fock(vhf=vhf, dm=dm) self.fock = reduce(np.dot, (mo_coeff.conj().T, fockao, mo_coeff)) self.nocc = mycc.nocc self.mol = mycc.mol mo_e = self.mo_energy = self.fock.diagonal().real gap = abs(mo_e[:self.nocc,None] - mo_e[None,self.nocc:]).min() if gap < 1e-5: logger.warn(mycc, 'HOMO-LUMO gap %s too small for GCCSD', gap) return self def _make_eris_incore(mycc, mo_coeff=None, ao2mofn=None): eris = _PhysicistsERIs() eris._common_init_(mycc, mo_coeff) nocc = eris.nocc nao, nmo = eris.mo_coeff.shape if callable(ao2mofn): eri = ao2mofn(eris.mo_coeff).reshape([nmo]*4) else: assert (eris.mo_coeff.dtype == np.double) mo_a = eris.mo_coeff[:nao//2] mo_b = eris.mo_coeff[nao//2:] orbspin = eris.orbspin if orbspin is None: eri = ao2mo.kernel(mycc._scf._eri, mo_a) eri += ao2mo.kernel(mycc._scf._eri, mo_b) eri1 = ao2mo.kernel(mycc._scf._eri, (mo_a,mo_a,mo_b,mo_b)) eri += eri1 eri += eri1.T else: mo = mo_a + mo_b eri = ao2mo.kernel(mycc._scf._eri, mo) if eri.size == nmo**4: # if mycc._scf._eri is a complex array eri = eri.reshape(nmo**2, nmo**2) sym_forbid = (orbspin[:,None] != orbspin).ravel() else: # 4-fold symmetry sym_forbid = (orbspin[:,None] != orbspin)[np.tril_indices(nmo)] eri[sym_forbid,:] = 0 eri[:,sym_forbid] = 0 if eri.dtype == np.double: eri = ao2mo.restore(1, eri, nmo) eri = eri.reshape(nmo,nmo,nmo,nmo) eri = eri.transpose(0,2,1,3) - eri.transpose(0,2,3,1) eris.oooo = eri[:nocc,:nocc,:nocc,:nocc].copy() eris.ooov = eri[:nocc,:nocc,:nocc,nocc:].copy() eris.oovv = eri[:nocc,:nocc,nocc:,nocc:].copy() eris.ovov = eri[:nocc,nocc:,:nocc,nocc:].copy() eris.ovvo = eri[:nocc,nocc:,nocc:,:nocc].copy() eris.ovvv = eri[:nocc,nocc:,nocc:,nocc:].copy() eris.vvvv = eri[nocc:,nocc:,nocc:,nocc:].copy() return eris def _make_eris_outcore(mycc, mo_coeff=None): from pyscf.scf.ghf import GHF assert isinstance(mycc._scf, GHF) cput0 = (logger.process_clock(), logger.perf_counter()) log = logger.Logger(mycc.stdout, mycc.verbose) eris = _PhysicistsERIs() eris._common_init_(mycc, mo_coeff) nocc = eris.nocc nao, nmo = eris.mo_coeff.shape nvir = nmo - nocc assert (eris.mo_coeff.dtype == np.double) mo_a = eris.mo_coeff[:nao//2] mo_b = eris.mo_coeff[nao//2:] orbspin = eris.orbspin feri = eris.feri = lib.H5TmpFile() dtype = np.result_type(eris.mo_coeff).char eris.oooo = feri.create_dataset('oooo', (nocc,nocc,nocc,nocc), dtype) eris.ooov = feri.create_dataset('ooov', (nocc,nocc,nocc,nvir), dtype) eris.oovv = feri.create_dataset('oovv', (nocc,nocc,nvir,nvir), dtype) eris.ovov = feri.create_dataset('ovov', (nocc,nvir,nocc,nvir), dtype) eris.ovvo = feri.create_dataset('ovvo', (nocc,nvir,nvir,nocc), dtype) eris.ovvv = feri.create_dataset('ovvv', (nocc,nvir,nvir,nvir), dtype) if orbspin is None: orbo_a = mo_a[:,:nocc] orbv_a = mo_a[:,nocc:] orbo_b = mo_b[:,:nocc] orbv_b = mo_b[:,nocc:] max_memory = mycc.max_memory-lib.current_memory()[0] blksize = min(nocc, max(2, int(max_memory*1e6/8/(nmo**3*2)))) max_memory = max(MEMORYMIN, max_memory) fswap = lib.H5TmpFile() ao2mo.kernel(mycc.mol, (orbo_a,mo_a,mo_a,mo_a), fswap, 'aaaa', max_memory=max_memory, verbose=log) ao2mo.kernel(mycc.mol, (orbo_a,mo_a,mo_b,mo_b), fswap, 'aabb', max_memory=max_memory, verbose=log) ao2mo.kernel(mycc.mol, (orbo_b,mo_b,mo_a,mo_a), fswap, 'bbaa', max_memory=max_memory, verbose=log) ao2mo.kernel(mycc.mol, (orbo_b,mo_b,mo_b,mo_b), fswap, 'bbbb', max_memory=max_memory, verbose=log) for p0, p1 in lib.prange(0, nocc, blksize): tmp = np.asarray(fswap['aaaa'][p0*nmo:p1*nmo]) tmp += np.asarray(fswap['aabb'][p0*nmo:p1*nmo]) tmp += np.asarray(fswap['bbaa'][p0*nmo:p1*nmo]) tmp += np.asarray(fswap['bbbb'][p0*nmo:p1*nmo]) tmp = lib.unpack_tril(tmp).reshape(p1-p0,nmo,nmo,nmo) eris.oooo[p0:p1] = (tmp[:,:nocc,:nocc,:nocc].transpose(0,2,1,3) - tmp[:,:nocc,:nocc,:nocc].transpose(0,2,3,1)) eris.ooov[p0:p1] = (tmp[:,:nocc,:nocc,nocc:].transpose(0,2,1,3) - tmp[:,nocc:,:nocc,:nocc].transpose(0,2,3,1)) eris.ovvv[p0:p1] = (tmp[:,nocc:,nocc:,nocc:].transpose(0,2,1,3) - tmp[:,nocc:,nocc:,nocc:].transpose(0,2,3,1)) eris.oovv[p0:p1] = (tmp[:,nocc:,:nocc,nocc:].transpose(0,2,1,3) - tmp[:,nocc:,:nocc,nocc:].transpose(0,2,3,1)) eris.ovov[p0:p1] = (tmp[:,:nocc,nocc:,nocc:].transpose(0,2,1,3) - tmp[:,nocc:,nocc:,:nocc].transpose(0,2,3,1)) eris.ovvo[p0:p1] = (tmp[:,nocc:,nocc:,:nocc].transpose(0,2,1,3) - tmp[:,:nocc,nocc:,nocc:].transpose(0,2,3,1)) tmp = None cput0 = log.timer_debug1('transforming ovvv', *cput0) eris.vvvv = feri.create_dataset('vvvv', (nvir,nvir,nvir,nvir), dtype) tril2sq = lib.square_mat_in_trilu_indices(nvir) fswap = lib.H5TmpFile() ao2mo.kernel(mycc.mol, (orbv_a,orbv_a,orbv_a,orbv_a), fswap, 'aaaa', max_memory=max_memory, verbose=log) ao2mo.kernel(mycc.mol, (orbv_a,orbv_a,orbv_b,orbv_b), fswap, 'aabb', max_memory=max_memory, verbose=log) ao2mo.kernel(mycc.mol, (orbv_b,orbv_b,orbv_a,orbv_a), fswap, 'bbaa', max_memory=max_memory, verbose=log) ao2mo.kernel(mycc.mol, (orbv_b,orbv_b,orbv_b,orbv_b), fswap, 'bbbb', max_memory=max_memory, verbose=log) for p0, p1 in lib.prange(0, nvir, blksize): off0 = p0*(p0+1)//2 off1 = p1*(p1+1)//2 tmp = np.asarray(fswap['aaaa'][off0:off1]) tmp += np.asarray(fswap['aabb'][off0:off1]) tmp += np.asarray(fswap['bbaa'][off0:off1]) tmp += np.asarray(fswap['bbbb'][off0:off1]) if p0 > 0: c = tmp[ tril2sq[p0:p1,:p0] - off0 ] c = lib.unpack_tril(c.reshape((p1-p0)*p0,-1)) eris.vvvv[p0:p1,:p0] = c.reshape(p1-p0,p0,nvir,nvir) c = tmp[ tril2sq[:p1,p0:p1] - off0 ] c = lib.unpack_tril(c.reshape((p1-p0)*p1,-1)) eris.vvvv[:p1,p0:p1] = c.reshape(p1,p1-p0,nvir,nvir) tmp = None for p0, p1 in lib.prange(0, nvir, blksize): tmp = np.asarray(eris.vvvv[p0:p1]) eris.vvvv[p0:p1] = tmp.transpose(0,2,1,3) - tmp.transpose(0,2,3,1) cput0 = log.timer_debug1('transforming vvvv', *cput0) else: # with orbspin mo = mo_a + mo_b orbo = mo[:,:nocc] orbv = mo[:,nocc:] max_memory = mycc.max_memory-lib.current_memory()[0] blksize = min(nocc, max(2, int(max_memory*1e6/8/(nmo**3*2)))) max_memory = max(MEMORYMIN, max_memory) fswap = lib.H5TmpFile() ao2mo.kernel(mycc.mol, (orbo,mo,mo,mo), fswap, max_memory=max_memory, verbose=log) sym_forbid = orbspin[:,None] != orbspin for p0, p1 in lib.prange(0, nocc, blksize): tmp = np.asarray(fswap['eri_mo'][p0*nmo:p1*nmo]) tmp = lib.unpack_tril(tmp).reshape(p1-p0,nmo,nmo,nmo) tmp[sym_forbid[p0:p1]] = 0 tmp[:,:,sym_forbid] = 0 eris.oooo[p0:p1] = (tmp[:,:nocc,:nocc,:nocc].transpose(0,2,1,3) - tmp[:,:nocc,:nocc,:nocc].transpose(0,2,3,1)) eris.ooov[p0:p1] = (tmp[:,:nocc,:nocc,nocc:].transpose(0,2,1,3) - tmp[:,nocc:,:nocc,:nocc].transpose(0,2,3,1)) eris.ovvv[p0:p1] = (tmp[:,nocc:,nocc:,nocc:].transpose(0,2,1,3) - tmp[:,nocc:,nocc:,nocc:].transpose(0,2,3,1)) eris.oovv[p0:p1] = (tmp[:,nocc:,:nocc,nocc:].transpose(0,2,1,3) - tmp[:,nocc:,:nocc,nocc:].transpose(0,2,3,1)) eris.ovov[p0:p1] = (tmp[:,:nocc,nocc:,nocc:].transpose(0,2,1,3) - tmp[:,nocc:,nocc:,:nocc].transpose(0,2,3,1)) eris.ovvo[p0:p1] = (tmp[:,nocc:,nocc:,:nocc].transpose(0,2,1,3) - tmp[:,:nocc,nocc:,nocc:].transpose(0,2,3,1)) tmp = None cput0 = log.timer_debug1('transforming ovvv', *cput0) eris.vvvv = feri.create_dataset('vvvv', (nvir,nvir,nvir,nvir), dtype) sym_forbid = (orbspin[nocc:,None]!=orbspin[nocc:])[np.tril_indices(nvir)] tril2sq = lib.square_mat_in_trilu_indices(nvir) fswap = lib.H5TmpFile() ao2mo.kernel(mycc.mol, orbv, fswap, max_memory=max_memory, verbose=log) for p0, p1 in lib.prange(0, nvir, blksize): off0 = p0*(p0+1)//2 off1 = p1*(p1+1)//2 tmp = np.asarray(fswap['eri_mo'][off0:off1]) tmp[sym_forbid[off0:off1]] = 0 tmp[:,sym_forbid] = 0 if p0 > 0: c = tmp[ tril2sq[p0:p1,:p0] - off0 ] c = lib.unpack_tril(c.reshape((p1-p0)*p0,-1)) eris.vvvv[p0:p1,:p0] = c.reshape(p1-p0,p0,nvir,nvir) c = tmp[ tril2sq[:p1,p0:p1] - off0 ] c = lib.unpack_tril(c.reshape((p1-p0)*p1,-1)) eris.vvvv[:p1,p0:p1] = c.reshape(p1,p1-p0,nvir,nvir) tmp = None for p0, p1 in lib.prange(0, nvir, blksize): tmp = np.asarray(eris.vvvv[p0:p1]) eris.vvvv[p0:p1] = tmp.transpose(0,2,1,3) - tmp.transpose(0,2,3,1) cput0 = log.timer_debug1('transforming vvvv', *cput0) return eris