-
Notifications
You must be signed in to change notification settings - Fork 8
/
compute_allegro.cpp
193 lines (161 loc) · 5.41 KB
/
compute_allegro.cpp
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
/* ----------------------------------------------------------------------
LAMMPS - Large-scale Atomic/Molecular Massively Parallel Simulator
https://lammps.sandia.gov/, Sandia National Laboratories
Steve Plimpton, [email protected]
Copyright (2003) Sandia Corporation. Under the terms of Contract
DE-AC04-94AL85000 with Sandia Corporation, the U.S. Government retains
certain rights in this software. This software is distributed under
the GNU General Public License.
See the README file in the top-level LAMMPS directory.
------------------------------------------------------------------------- */
/* ----------------------------------------------------------------------
Contributing author: Anders Johansson (Harvard)
------------------------------------------------------------------------- */
#include "compute_allegro.h"
#include "atom.h"
#include "comm.h"
#include "error.h"
#include "force.h"
#include "memory.h"
#include "pair_allegro.h"
#include "update.h"
#include <cassert>
#include <cmath>
#include <cstring>
#include <iostream>
#include <numeric>
#include <sstream>
#include <string>
#include <torch/script.h>
#include <torch/torch.h>
using namespace LAMMPS_NS;
template<int peratom>
ComputeAllegro<peratom>::ComputeAllegro(LAMMPS *lmp, int narg, char **arg) : Compute(lmp, narg, arg)
{
if constexpr (!peratom) {
// compute 1 all allegro quantity length
if (narg != 5) error->all(FLERR, "Incorrect args for compute allegro");
} else {
// compute 1 all allegro/atom quantity length newton(1/0)
if (narg != 6) error->all(FLERR, "Incorrect args for compute allegro/atom");
}
if (strcmp(arg[1], "all") != 0)
error->all(FLERR, "compute allegro can only operate on group 'all'");
quantity = arg[3];
if constexpr (peratom) {
peratom_flag = 1;
nperatom = std::atoi(arg[4]);
newton = std::atoi(arg[5]);
if (newton) comm_reverse = nperatom;
size_peratom_cols = nperatom==1 ? 0 : nperatom;
nmax = -12;
if (comm->me == 0)
error->message(FLERR, "compute allegro/atom will evaluate the quantity {} of length {} with newton {}", quantity,
size_peratom_cols, newton);
} else {
vector_flag = 1;
size_vector = std::atoi(arg[4]);
if (size_vector <= 0) error->all(FLERR, "Incorrect vector length!");
memory->create(vector, size_vector, "ComputeAllegro:vector");
if (comm->me == 0)
error->message(FLERR, "compute allegro will evaluate the quantity {} of length {}", quantity,
size_vector);
}
if (force->pair == nullptr) {
error->all(FLERR, "no pair style; compute allegro must be defined after pair style");
}
((PairAllegro<lowhigh> *) force->pair)->add_custom_output(quantity);
}
template<int peratom>
void ComputeAllegro<peratom>::init()
{
;
}
template<int peratom>
ComputeAllegro<peratom>::~ComputeAllegro()
{
if (copymode) return;
if constexpr (peratom) {
memory->destroy(vector_atom);
} else {
memory->destroy(vector);
}
}
template<int peratom>
void ComputeAllegro<peratom>::compute_vector()
{
invoked_vector = update->ntimestep;
// empty domain, pair style won't store tensor
// note: assumes nlocal == inum
if (atom->nlocal == 0) {
for (int i = 0; i < size_vector; i++) {
vector[i] = 0.0;
}
} else {
const torch::Tensor &quantity_tensor =
((PairAllegro<lowhigh> *) force->pair)->custom_output.at(quantity).cpu().ravel();
auto quantity = quantity_tensor.data_ptr<double>();
if (quantity_tensor.size(0) != size_vector) {
error->one(FLERR, "size {} of quantity tensor {} does not match expected {} on rank {}",
quantity_tensor.size(0), this->quantity, size_vector, comm->me);
}
for (int i = 0; i < size_vector; i++) { vector[i] = quantity[i]; }
}
// even if empty domain
MPI_Allreduce(MPI_IN_PLACE, vector, size_vector, MPI_DOUBLE, MPI_SUM, world);
}
template<int peratom>
void ComputeAllegro<peratom>::compute_peratom()
{
invoked_peratom = update->ntimestep;
if (atom->nmax > nmax) {
nmax = atom->nmax;
memory->destroy(array_atom);
memory->create(array_atom, nmax, nperatom, "allegro/atom:array");
if (nperatom==1) vector_atom = &array_atom[0][0];
}
// guard against empty domain (pair style won't store tensor)
if (atom->nlocal > 0) {
const torch::Tensor &quantity_tensor =
((PairAllegro<lowhigh> *) force->pair)->custom_output.at(quantity).cpu().contiguous().reshape({-1,nperatom});
auto quantity = quantity_tensor.accessor<double,2>();
quantityptr = quantity_tensor.data_ptr<double>();
int nlocal = atom->nlocal;
for (int i = 0; i < nlocal; i++) {
for (int j = 0; j < nperatom; j++) {
array_atom[i][j] = quantity[i][j];
}
}
}
// even if empty domain
if (newton) comm->reverse_comm(this);
}
template<int peratom>
int ComputeAllegro<peratom>::pack_reverse_comm(int n, int first, double *buf)
{
int i, m, last;
m = 0;
last = first + n;
for (i = first; i < last; i++) {
for (int j = 0; j < nperatom; j++) {
buf[m++] = quantityptr[i*nperatom + j];
}
}
return m;
}
template<int peratom>
void ComputeAllegro<peratom>::unpack_reverse_comm(int n, int *list, double *buf)
{
int i, j, m;
m = 0;
for (i = 0; i < n; i++) {
j = list[i];
for (int k = 0; k < nperatom; k++) {
array_atom[j][k] += buf[m++];
}
}
}
namespace LAMMPS_NS {
template class ComputeAllegro<0>;
template class ComputeAllegro<1>;
}