720 lines
23 KiB
C++
720 lines
23 KiB
C++
/* ----------------------------------------------------------------------
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LAMMPS - Large-scale Atomic/Molecular Massively Parallel Simulator
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https://www.lammps.org/, Sandia National Laboratories
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LAMMPS development team: developers@lammps.org
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Copyright (2003) Sandia Corporation. Under the terms of Contract
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DE-AC04-94AL85000 with Sandia Corporation, the U.S. Government retains
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certain rights in this software. This software is distributed under
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the GNU General Public License.
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See the README file in the top-level LAMMPS directory.
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------------------------------------------------------------------------- */
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#include "compute_reduce.h"
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#include "arg_info.h"
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#include "atom.h"
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#include "comm.h"
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#include "domain.h"
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#include "error.h"
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#include "fix.h"
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#include "group.h"
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#include "input.h"
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#include "memory.h"
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#include "modify.h"
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#include "update.h"
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#include "variable.h"
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#include <cmath>
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#include <cstring>
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using namespace LAMMPS_NS;
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static constexpr double BIG = 1.0e20;
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//----------------------------------------------------------------
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void abs_max(void *in, void *inout, int * /*len*/, MPI_Datatype * /*type*/)
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{
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// r is the already reduced value, n is the new value
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double n = std::fabs(*(double *) in), r = *(double *) inout;
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double m;
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if (n > r) {
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m = n;
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} else {
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m = r;
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}
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*(double *) inout = m;
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}
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void abs_min(void *in, void *inout, int * /*len*/, MPI_Datatype * /*type*/)
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{
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// r is the already reduced value, n is the new value
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double n = std::fabs(*(double *) in), r = *(double *) inout;
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double m;
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if (n < r) {
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m = n;
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} else {
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m = r;
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}
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*(double *) inout = m;
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}
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/* ---------------------------------------------------------------------- */
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ComputeReduce::ComputeReduce(LAMMPS *lmp, int narg, char **arg) :
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Compute(lmp, narg, arg), nvalues(0), onevec(nullptr), replace(nullptr), indices(nullptr),
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owner(nullptr), idregion(nullptr), region(nullptr), varatom(nullptr)
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{
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int iarg = 0;
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if (strcmp(style, "reduce") == 0) {
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if (narg < 5) utils::missing_cmd_args(FLERR, "compute reduce", error);
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iarg = 3;
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} else if (strcmp(style, "reduce/region") == 0) {
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if (narg < 6) utils::missing_cmd_args(FLERR, "compute reduce/region", error);
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if (!domain->get_region_by_id(arg[3]))
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error->all(FLERR, "Region {} for compute reduce/region does not exist", arg[3]);
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idregion = utils::strdup(arg[3]);
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iarg = 4;
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}
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if (strcmp(arg[iarg], "sum") == 0)
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mode = SUM;
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else if (strcmp(arg[iarg], "sumsq") == 0)
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mode = SUMSQ;
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else if (strcmp(arg[iarg], "sumabs") == 0)
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mode = SUMABS;
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else if (strcmp(arg[iarg], "min") == 0)
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mode = MINN;
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else if (strcmp(arg[iarg], "max") == 0)
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mode = MAXX;
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else if (strcmp(arg[iarg], "ave") == 0)
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mode = AVE;
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else if (strcmp(arg[iarg], "avesq") == 0)
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mode = AVESQ;
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else if (strcmp(arg[iarg], "aveabs") == 0)
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mode = AVEABS;
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else if (strcmp(arg[iarg], "maxabs") == 0)
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mode = MAXABS;
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else if (strcmp(arg[iarg], "minabs") == 0)
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mode = MINABS;
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else
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error->all(FLERR, "Unknown compute {} mode: {}", style, arg[iarg]);
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iarg++;
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if (mode == SUM || mode == SUMSQ || mode == SUMABS) {
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this->scalar_reduction_operation = MPI_SUM;
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} else if (mode == AVE || mode == AVESQ || mode == AVEABS) {
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this->scalar_reduction_operation = MPI_SUM;
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} else if (mode == MINN) {
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this->scalar_reduction_operation = MPI_MIN;
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} else if (mode == MAXX) {
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this->scalar_reduction_operation = MPI_MAX;
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} else if (mode == MAXABS) {
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MPI_Op_create(&abs_max, 1, &this->scalar_reduction_operation);
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} else if (mode == MINABS) {
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MPI_Op_create(&abs_min, 1, &this->scalar_reduction_operation);
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}
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// expand args if any have wildcard character "*"
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int expand = 0;
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char **earg;
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int nargnew = utils::expand_args(FLERR, narg - iarg, &arg[iarg], 1, earg, lmp);
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if (earg != &arg[iarg]) expand = 1;
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arg = earg;
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// parse values
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values.clear();
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nvalues = 0;
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for (int iarg = 0; iarg < nargnew; ++iarg) {
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value_t val;
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val.id = "";
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val.val.c = nullptr;
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if (strcmp(arg[iarg], "x") == 0) {
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val.which = ArgInfo::X;
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val.argindex = 0;
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} else if (strcmp(arg[iarg], "y") == 0) {
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val.which = ArgInfo::X;
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val.argindex = 1;
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} else if (strcmp(arg[iarg], "z") == 0) {
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val.which = ArgInfo::X;
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val.argindex = 2;
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} else if (strcmp(arg[iarg], "vx") == 0) {
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val.which = ArgInfo::V;
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val.argindex = 0;
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} else if (strcmp(arg[iarg], "vy") == 0) {
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val.which = ArgInfo::V;
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val.argindex = 1;
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} else if (strcmp(arg[iarg], "vz") == 0) {
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val.which = ArgInfo::V;
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val.argindex = 2;
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} else if (strcmp(arg[iarg], "fx") == 0) {
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val.which = ArgInfo::F;
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val.argindex = 0;
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} else if (strcmp(arg[iarg], "fy") == 0) {
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val.which = ArgInfo::F;
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val.argindex = 1;
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} else if (strcmp(arg[iarg], "fz") == 0) {
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val.which = ArgInfo::F;
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val.argindex = 2;
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} else {
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ArgInfo argi(arg[iarg]);
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val.which = argi.get_type();
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val.argindex = argi.get_index1();
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val.id = argi.get_name();
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if ((val.which == ArgInfo::UNKNOWN) || (argi.get_dim() > 1))
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error->all(FLERR, "Illegal compute {} argument: {}", style, arg[iarg]);
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if (val.which == ArgInfo::NONE) break;
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}
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values.push_back(val);
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}
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// optional args
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nvalues = values.size();
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replace = new int[nvalues];
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for (int i = 0; i < nvalues; ++i) replace[i] = -1;
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input_mode = PERATOM;
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std::string mycmd = "compute ";
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mycmd += style;
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for (int iarg = nvalues; iarg < nargnew; iarg++) {
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if (strcmp(arg[iarg], "replace") == 0) {
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if (iarg + 3 > narg) utils::missing_cmd_args(FLERR, mycmd + " replace", error);
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if (mode != MINN && mode != MAXX)
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error->all(FLERR, "Compute {} replace requires min or max mode", style);
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int col1 = utils::inumeric(FLERR, arg[iarg + 1], false, lmp) - 1;
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int col2 = utils::inumeric(FLERR, arg[iarg + 2], false, lmp) - 1;
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if ((col1 < 0) || (col1 >= nvalues))
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error->all(FLERR, "Invalid compute {} replace first column index {}", style, col1);
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if ((col2 < 0) || (col2 >= nvalues))
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error->all(FLERR, "Invalid compute {} replace second column index {}", style, col2);
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if (col1 == col2) error->all(FLERR, "Compute {} replace columns must be different");
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if ((replace[col1] >= 0) || (replace[col2] >= 0))
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error->all(FLERR, "Compute {} replace column already used for another replacement");
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replace[col1] = col2;
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iarg += 2;
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} else if (strcmp(arg[iarg], "inputs") == 0) {
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if (iarg + 2 > narg) utils::missing_cmd_args(FLERR, mycmd + " inputs", error);
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if (strcmp(arg[iarg + 1], "peratom") == 0)
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input_mode = PERATOM;
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else if (strcmp(arg[iarg + 1], "local") == 0)
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input_mode = LOCAL;
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iarg += 2;
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} else
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error->all(FLERR, "Unknown compute {} keyword: {}", style, arg[iarg]);
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}
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// delete replace list if not set
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int flag = 0;
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for (int i = 0; i < nvalues; i++)
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if (replace[i] >= 0) flag = 1;
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if (!flag) {
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delete[] replace;
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replace = nullptr;
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}
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// if wildcard expansion occurred, free earg memory from expand_args()
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if (expand) {
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for (int i = 0; i < nargnew; i++) delete[] earg[i];
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memory->sfree(earg);
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}
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// setup and error check
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for (auto &val : values) {
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if (val.which == ArgInfo::X || val.which == ArgInfo::V || val.which == ArgInfo::F) {
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if (input_mode == LOCAL) error->all(FLERR, "Compute {} inputs must be all local");
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} else if (val.which == ArgInfo::COMPUTE) {
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val.val.c = modify->get_compute_by_id(val.id);
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if (!val.val.c)
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error->all(FLERR, "Compute ID {} for compute {} does not exist", val.id, style);
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if (input_mode == PERATOM) {
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if (!val.val.c->peratom_flag)
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error->all(FLERR, "Compute {} compute {} does not calculate per-atom values", style,
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val.id);
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if (val.argindex == 0 && val.val.c->size_peratom_cols != 0)
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error->all(FLERR, "Compute {} compute {} does not calculate a per-atom vector", style,
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val.id);
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if (val.argindex && val.val.c->size_peratom_cols == 0)
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error->all(FLERR, "Compute {} compute {} does not calculate a per-atom array", style,
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val.id);
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if (val.argindex && val.argindex > val.val.c->size_peratom_cols)
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error->all(FLERR, "Compute {} compute {} array is accessed out-of-range", style, val.id);
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} else if (input_mode == LOCAL) {
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if (!val.val.c->local_flag)
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error->all(FLERR, "Compute {} compute {} does not calculate local values", style, val.id);
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if (val.argindex == 0 && val.val.c->size_local_cols != 0)
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error->all(FLERR, "Compute {} compute {} does not calculate a local vector", style,
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val.id);
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if (val.argindex && val.val.c->size_local_cols == 0)
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error->all(FLERR, "Compute {} compute {} does not calculate a local array", style,
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val.id);
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if (val.argindex && val.argindex > val.val.c->size_local_cols)
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error->all(FLERR, "Compute {} compute {} array is accessed out-of-range", style, val.id);
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}
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} else if (val.which == ArgInfo::FIX) {
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val.val.f = modify->get_fix_by_id(val.id);
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if (!val.val.f) error->all(FLERR, "Fix ID {} for compute {} does not exist", val.id, style);
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if (input_mode == PERATOM) {
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if (!val.val.f->peratom_flag)
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error->all(FLERR, "Compute {} fix {} does not calculate per-atom values", style, val.id);
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if (val.argindex == 0 && (val.val.f->size_peratom_cols != 0))
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error->all(FLERR, "Compute {} fix {} does not calculate a per-atom vector", style,
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val.id);
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if (val.argindex && (val.val.f->size_peratom_cols == 0))
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error->all(FLERR, "Compute {} fix {} does not calculate a per-atom array", style, val.id);
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if (val.argindex && (val.argindex > val.val.f->size_peratom_cols))
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error->all(FLERR, "Compute {} fix {} array is accessed out-of-range", style, val.id);
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} else if (input_mode == LOCAL) {
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if (!val.val.f->local_flag)
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error->all(FLERR, "Compute {} fix {} does not calculate local values", style, val.id);
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if (val.argindex == 0 && (val.val.f->size_local_cols != 0))
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error->all(FLERR, "Compute {} fix {} does not calculate a local vector", style, val.id);
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if (val.argindex && (val.val.f->size_local_cols == 0))
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error->all(FLERR, "Compute {} fix {} does not calculate a local array", style, val.id);
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if (val.argindex && (val.argindex > val.val.f->size_local_cols))
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error->all(FLERR, "Compute {} fix {} array is accessed out-of-range", style, val.id);
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}
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} else if (val.which == ArgInfo::VARIABLE) {
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if (input_mode == LOCAL) error->all(FLERR, "Compute {} inputs must be all local");
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val.val.v = input->variable->find(val.id.c_str());
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if (val.val.v < 0)
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error->all(FLERR, "Variable name {} for compute {} does not exist", val.id, style);
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if (input->variable->atomstyle(val.val.v) == 0)
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error->all(FLERR, "Compute {} variable {} is not atom-style variable", style, val.id);
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}
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}
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// this compute produces either a scalar or vector
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if (nvalues == 1) {
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scalar_flag = 1;
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if (mode == SUM || mode == SUMSQ || mode == SUMABS)
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extscalar = 1;
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else
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extscalar = 0;
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vector = onevec = nullptr;
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indices = owner = nullptr;
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} else {
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vector_flag = 1;
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size_vector = nvalues;
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if (mode == SUM || mode == SUMSQ || mode == SUMABS)
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extvector = 1;
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else
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extvector = 0;
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vector = new double[size_vector];
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onevec = new double[size_vector];
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indices = new int[size_vector];
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owner = new int[size_vector];
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}
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maxatom = 0;
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varatom = nullptr;
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}
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/* ---------------------------------------------------------------------- */
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ComputeReduce::~ComputeReduce()
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{
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delete[] replace;
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delete[] idregion;
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delete[] vector;
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delete[] onevec;
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delete[] indices;
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delete[] owner;
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memory->destroy(varatom);
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}
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/* ---------------------------------------------------------------------- */
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void ComputeReduce::init()
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{
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// set indices of all computes,fixes,variables
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for (auto &val : values) {
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if (val.which == ArgInfo::COMPUTE) {
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val.val.c = modify->get_compute_by_id(val.id);
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if (!val.val.c)
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error->all(FLERR, "Compute ID {} for compute {} does not exist", val.id, style);
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} else if (val.which == ArgInfo::FIX) {
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val.val.f = modify->get_fix_by_id(val.id);
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if (!val.val.f) error->all(FLERR, "Fix ID {} for compute {} does not exist", val.id, style);
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} else if (val.which == ArgInfo::VARIABLE) {
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val.val.v = input->variable->find(val.id.c_str());
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if (val.val.v < 0)
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error->all(FLERR, "Variable name {} for compute {} does not exist", val.id, style);
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}
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}
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// set index and check validity of region
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if (idregion) {
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region = domain->get_region_by_id(idregion);
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if (!region) error->all(FLERR, "Region {} for compute reduce/region does not exist", idregion);
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}
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}
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/* ---------------------------------------------------------------------- */
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double ComputeReduce::compute_scalar()
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{
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invoked_scalar = update->ntimestep;
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double one = compute_one(0, -1);
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MPI_Allreduce(&one, &scalar, 1, MPI_DOUBLE, this->scalar_reduction_operation, world);
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if (mode == AVE || mode == AVESQ || mode == AVEABS) {
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bigint n = count(0);
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if (n) scalar /= n;
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}
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return scalar;
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}
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/* ---------------------------------------------------------------------- */
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void ComputeReduce::compute_vector()
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{
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invoked_vector = update->ntimestep;
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for (int m = 0; m < nvalues; m++)
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if (!replace || replace[m] < 0) {
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onevec[m] = compute_one(m, -1);
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indices[m] = index;
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}
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if (mode == SUM || mode == SUMSQ || mode == AVEABS) {
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for (int m = 0; m < nvalues; m++)
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MPI_Allreduce(&onevec[m], &vector[m], 1, MPI_DOUBLE, MPI_SUM, world);
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} else if (mode == MINABS || mode == MAXABS) {
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for (int m = 0; m < nvalues; m++)
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MPI_Allreduce(&onevec[m], &vector[m], 1, MPI_DOUBLE, this->scalar_reduction_operation, world);
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} else if (mode == MINN) {
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if (!replace) {
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for (int m = 0; m < nvalues; m++)
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MPI_Allreduce(&onevec[m], &vector[m], 1, MPI_DOUBLE, this->scalar_reduction_operation,
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world);
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} else {
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for (int m = 0; m < nvalues; m++)
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if (replace[m] < 0) {
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pairme.value = onevec[m];
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pairme.proc = comm->me;
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MPI_Allreduce(&pairme, &pairall, 1, MPI_DOUBLE_INT, MPI_MINLOC, world);
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vector[m] = pairall.value;
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owner[m] = pairall.proc;
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}
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for (int m = 0; m < nvalues; m++)
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if (replace[m] >= 0) {
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if (comm->me == owner[replace[m]]) vector[m] = compute_one(m, indices[replace[m]]);
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MPI_Bcast(&vector[m], 1, MPI_DOUBLE, owner[replace[m]], world);
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}
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}
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} else if (mode == MAXX) {
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if (!replace) {
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for (int m = 0; m < nvalues; m++)
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MPI_Allreduce(&onevec[m], &vector[m], 1, MPI_DOUBLE, this->scalar_reduction_operation,
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world);
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} else {
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for (int m = 0; m < nvalues; m++)
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if (replace[m] < 0) {
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pairme.value = onevec[m];
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pairme.proc = comm->me;
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MPI_Allreduce(&pairme, &pairall, 1, MPI_DOUBLE_INT, MPI_MAXLOC, world);
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vector[m] = pairall.value;
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owner[m] = pairall.proc;
|
|
}
|
|
for (int m = 0; m < nvalues; m++)
|
|
if (replace[m] >= 0) {
|
|
if (comm->me == owner[replace[m]]) vector[m] = compute_one(m, indices[replace[m]]);
|
|
MPI_Bcast(&vector[m], 1, MPI_DOUBLE, owner[replace[m]], world);
|
|
}
|
|
}
|
|
|
|
} else if (mode == AVE || mode == AVESQ || mode == AVEABS) {
|
|
for (int m = 0; m < nvalues; m++) {
|
|
MPI_Allreduce(&onevec[m], &vector[m], 1, MPI_DOUBLE, MPI_SUM, world);
|
|
bigint n = count(m);
|
|
if (n) vector[m] /= n;
|
|
}
|
|
}
|
|
}
|
|
|
|
/* ----------------------------------------------------------------------
|
|
calculate reduced value for one input M and return it
|
|
if flag = -1:
|
|
sum/min/max/ave all values in vector
|
|
for per-atom quantities, limit to atoms in group
|
|
if mode = MIN or MAX, also set index to which vector value wins
|
|
if flag >= 0: simply return vector[flag]
|
|
------------------------------------------------------------------------- */
|
|
|
|
double ComputeReduce::compute_one(int m, int flag)
|
|
{
|
|
// invoke the appropriate attribute,compute,fix,variable
|
|
// for flag = -1, compute scalar quantity by scanning over atom properties
|
|
// only include atoms in group for atom properties and per-atom quantities
|
|
|
|
index = -1;
|
|
auto &val = values[m];
|
|
|
|
// initialization in case it has not yet been run, e.g. when
|
|
// the compute was invoked right after it has been created
|
|
|
|
if ((val.which == ArgInfo::COMPUTE) || (val.which == ArgInfo::FIX)) {
|
|
if (val.val.c == nullptr) init();
|
|
}
|
|
|
|
int aidx = val.argindex;
|
|
int *mask = atom->mask;
|
|
int nlocal = atom->nlocal;
|
|
|
|
double one = 0.0;
|
|
if (mode == MINN || mode == MINABS) one = BIG;
|
|
if (mode == MAXX) one = -BIG;
|
|
|
|
if (val.which == ArgInfo::X) {
|
|
double **x = atom->x;
|
|
if (flag < 0) {
|
|
for (int i = 0; i < nlocal; i++)
|
|
if (mask[i] & groupbit) combine(one, x[i][aidx], i);
|
|
} else
|
|
one = x[flag][aidx];
|
|
} else if (val.which == ArgInfo::V) {
|
|
double **v = atom->v;
|
|
if (flag < 0) {
|
|
for (int i = 0; i < nlocal; i++)
|
|
if (mask[i] & groupbit) combine(one, v[i][aidx], i);
|
|
} else
|
|
one = v[flag][aidx];
|
|
} else if (val.which == ArgInfo::F) {
|
|
double **f = atom->f;
|
|
if (flag < 0) {
|
|
for (int i = 0; i < nlocal; i++)
|
|
if (mask[i] & groupbit) combine(one, f[i][aidx], i);
|
|
} else
|
|
one = f[flag][aidx];
|
|
|
|
// invoke compute if not previously invoked
|
|
|
|
} else if (val.which == ArgInfo::COMPUTE) {
|
|
|
|
if (input_mode == PERATOM) {
|
|
if (!(val.val.c->invoked_flag & Compute::INVOKED_PERATOM)) {
|
|
val.val.c->compute_peratom();
|
|
val.val.c->invoked_flag |= Compute::INVOKED_PERATOM;
|
|
}
|
|
|
|
if (aidx == 0) {
|
|
double *comp_vec = val.val.c->vector_atom;
|
|
int n = nlocal;
|
|
if (flag < 0) {
|
|
for (int i = 0; i < n; i++)
|
|
if (mask[i] & groupbit) combine(one, comp_vec[i], i);
|
|
} else
|
|
one = comp_vec[flag];
|
|
} else {
|
|
double **carray_atom = val.val.c->array_atom;
|
|
int n = nlocal;
|
|
int aidxm1 = aidx - 1;
|
|
if (flag < 0) {
|
|
for (int i = 0; i < n; i++)
|
|
if (mask[i] & groupbit) combine(one, carray_atom[i][aidxm1], i);
|
|
} else
|
|
one = carray_atom[flag][aidxm1];
|
|
}
|
|
|
|
} else if (input_mode == LOCAL) {
|
|
if (!(val.val.c->invoked_flag & Compute::INVOKED_LOCAL)) {
|
|
val.val.c->compute_local();
|
|
val.val.c->invoked_flag |= Compute::INVOKED_LOCAL;
|
|
}
|
|
|
|
if (aidx == 0) {
|
|
double *comp_vec = val.val.c->vector_local;
|
|
int n = val.val.c->size_local_rows;
|
|
if (flag < 0)
|
|
for (int i = 0; i < n; i++) combine(one, comp_vec[i], i);
|
|
else
|
|
one = comp_vec[flag];
|
|
} else {
|
|
double **carray_local = val.val.c->array_local;
|
|
int n = val.val.c->size_local_rows;
|
|
int aidxm1 = aidx - 1;
|
|
if (flag < 0)
|
|
for (int i = 0; i < n; i++) combine(one, carray_local[i][aidxm1], i);
|
|
else
|
|
one = carray_local[flag][aidxm1];
|
|
}
|
|
}
|
|
|
|
// access fix fields, check if fix frequency is a match
|
|
|
|
} else if (val.which == ArgInfo::FIX) {
|
|
if (update->ntimestep % val.val.f->peratom_freq)
|
|
error->all(FLERR, "Fix {} used in compute {} not computed at compatible time", val.id, style);
|
|
|
|
if (input_mode == PERATOM) {
|
|
if (aidx == 0) {
|
|
double *fix_vector = val.val.f->vector_atom;
|
|
if (flag < 0) {
|
|
for (int i = 0; i < nlocal; i++)
|
|
if (mask[i] & groupbit) combine(one, fix_vector[i], i);
|
|
} else
|
|
one = fix_vector[flag];
|
|
} else {
|
|
double **fix_array = val.val.f->array_atom;
|
|
int aidxm1 = aidx - 1;
|
|
if (flag < 0) {
|
|
for (int i = 0; i < nlocal; i++)
|
|
if (mask[i] & groupbit) combine(one, fix_array[i][aidxm1], i);
|
|
} else
|
|
one = fix_array[flag][aidxm1];
|
|
}
|
|
|
|
} else if (input_mode == LOCAL) {
|
|
if (aidx == 0) {
|
|
double *fix_vector = val.val.f->vector_local;
|
|
int n = val.val.f->size_local_rows;
|
|
if (flag < 0)
|
|
for (int i = 0; i < n; i++) combine(one, fix_vector[i], i);
|
|
else
|
|
one = fix_vector[flag];
|
|
} else {
|
|
double **fix_array = val.val.f->array_local;
|
|
int n = val.val.f->size_local_rows;
|
|
int aidxm1 = aidx - 1;
|
|
if (flag < 0)
|
|
for (int i = 0; i < n; i++) combine(one, fix_array[i][aidxm1], i);
|
|
else
|
|
one = fix_array[flag][aidxm1];
|
|
}
|
|
}
|
|
|
|
// evaluate atom-style variable
|
|
|
|
} else if (val.which == ArgInfo::VARIABLE) {
|
|
if (atom->nmax > maxatom) {
|
|
maxatom = atom->nmax;
|
|
memory->destroy(varatom);
|
|
memory->create(varatom, maxatom, "reduce:varatom");
|
|
}
|
|
|
|
input->variable->compute_atom(val.val.v, igroup, varatom, 1, 0);
|
|
if (flag < 0) {
|
|
for (int i = 0; i < nlocal; i++)
|
|
if (mask[i] & groupbit) combine(one, varatom[i], i);
|
|
} else
|
|
one = varatom[flag];
|
|
}
|
|
|
|
return one;
|
|
}
|
|
|
|
/* ---------------------------------------------------------------------- */
|
|
|
|
bigint ComputeReduce::count(int m)
|
|
{
|
|
auto &val = values[m];
|
|
if ((val.which == ArgInfo::X) || (val.which == ArgInfo::V) || (val.which == ArgInfo::F))
|
|
return group->count(igroup);
|
|
else if (val.which == ArgInfo::COMPUTE) {
|
|
if (input_mode == PERATOM) {
|
|
return group->count(igroup);
|
|
} else if (input_mode == LOCAL) {
|
|
bigint ncount = val.val.c->size_local_rows;
|
|
bigint ncountall;
|
|
MPI_Allreduce(&ncount, &ncountall, 1, MPI_LMP_BIGINT, MPI_SUM, world);
|
|
return ncountall;
|
|
}
|
|
} else if (val.which == ArgInfo::FIX) {
|
|
if (input_mode == PERATOM) {
|
|
return group->count(igroup);
|
|
} else if (input_mode == LOCAL) {
|
|
bigint ncount = val.val.f->size_local_rows;
|
|
bigint ncountall;
|
|
MPI_Allreduce(&ncount, &ncountall, 1, MPI_LMP_BIGINT, MPI_SUM, world);
|
|
return ncountall;
|
|
}
|
|
} else if (val.which == ArgInfo::VARIABLE)
|
|
return group->count(igroup);
|
|
|
|
bigint dummy = 0;
|
|
return dummy;
|
|
}
|
|
|
|
/* ----------------------------------------------------------------------
|
|
combine two values according to reduction mode
|
|
for MIN/MAX, also update index with winner
|
|
------------------------------------------------------------------------- */
|
|
|
|
void ComputeReduce::combine(double &one, double two, int i)
|
|
{
|
|
if (mode == SUM || mode == AVE)
|
|
one += two;
|
|
else if (mode == SUMSQ || mode == AVESQ)
|
|
one += two * two;
|
|
else if (mode == SUMABS || mode == AVEABS)
|
|
one += std::fabs(two);
|
|
else if (mode == MINN) {
|
|
if (two < one) {
|
|
one = two;
|
|
index = i;
|
|
}
|
|
} else if (mode == MAXX) {
|
|
if (two > one) {
|
|
one = two;
|
|
index = i;
|
|
}
|
|
} else if (mode == MAXABS) {
|
|
if (std::fabs(two) > one) {
|
|
one = std::fabs(two);
|
|
index = i;
|
|
}
|
|
}
|
|
}
|
|
|
|
/* ----------------------------------------------------------------------
|
|
memory usage of varatom
|
|
------------------------------------------------------------------------- */
|
|
|
|
double ComputeReduce::memory_usage()
|
|
{
|
|
double bytes = (double) maxatom * sizeof(double);
|
|
return bytes;
|
|
}
|