Fixing CUDA runtime issues in pair_exp6_rx_kokkos
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@ -426,7 +426,7 @@ KOKKOS_INLINE_FUNCTION
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void PairExp6rxKokkos<DeviceType>::operator()(TagPairExp6rxCompute<NEIGHFLAG,NEWTON_PAIR,EVFLAG>, const int &ii, EV_FLOAT& ev) const {
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{
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const bool one_type = (atom->ntypes == 1);
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const bool one_type = (ntypes == 1);
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if (isite1 == isite2)
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if (one_type)
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this->vectorized_operator<NEIGHFLAG,NEWTON_PAIR,EVFLAG,true, true, true>(ii, ev);
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@ -797,7 +797,7 @@ KOKKOS_INLINE_FUNCTION
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void PairExp6rxKokkos<DeviceType>::operator()(TagPairExp6rxComputeNoAtomics<NEIGHFLAG,NEWTON_PAIR,EVFLAG>, const int &ii, EV_FLOAT& ev) const {
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{
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const bool one_type = (atom->ntypes == 1);
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const bool one_type = (ntypes == 1);
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if (isite1 == isite2)
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if (one_type)
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this->vectorized_operator<NEIGHFLAG,NEWTON_PAIR,EVFLAG,true, false, true>(ii, ev);
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@ -1653,18 +1653,18 @@ template<class DeviceType>
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void PairExp6rxKokkos<DeviceType>::allocate()
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{
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allocated = 1;
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int n = atom->ntypes;
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ntypes = atom->ntypes;
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memory->create(setflag,n+1,n+1,"pair:setflag");
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for (int i = 1; i <= n; i++)
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for (int j = i; j <= n; j++)
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memory->create(setflag,ntypes+1,ntypes+1,"pair:setflag");
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for (int i = 1; i <= ntypes; i++)
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for (int j = i; j <= ntypes; j++)
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setflag[i][j] = 0;
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memory->create_kokkos(k_cutsq,cutsq,n+1,n+1,"pair:cutsq");
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memory->create_kokkos(k_cutsq,cutsq,ntypes+1,ntypes+1,"pair:cutsq");
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d_cutsq = k_cutsq.template view<DeviceType>();
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k_cutsq.template modify<LMPHostType>();
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memory->create(cut,n+1,n+1,"pair:cut_lj");
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memory->create(cut,ntypes+1,ntypes+1,"pair:cut_lj");
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}
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@ -145,7 +145,7 @@ class PairExp6rxKokkos : public PairExp6rx {
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int eflag,vflag;
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int nlocal,newton_pair,neighflag;
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double special_lj[4];
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int num_threads;
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int num_threads,ntypes;
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typename AT::t_x_array_randomread x;
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typename AT::t_f_array f;
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