reformat
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@ -1,4 +1,3 @@
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// clang-format off
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/* ----------------------------------------------------------------------
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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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@ -18,16 +17,17 @@
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#ifdef MLIAP_PYTHON
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#include <Python.h>
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#include "mliap_model_python.h"
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#include "error.h"
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#include "lmppython.h"
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#include "mliap_data.h"
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#include "mliap_model_python_couple.h"
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#include "pair_mliap.h"
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#include "mliap_data.h"
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#include "error.h"
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#include "utils.h"
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#include "lmppython.h"
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#include "python_compat.h"
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#include "utils.h"
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#include <Python.h>
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using namespace LAMMPS_NS;
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@ -62,9 +62,7 @@ MLIAPModelPython::MLIAPModelPython(LAMMPS* lmp, char* coefffilename) :
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// if LAMMPS_POTENTIALS environment variable is set, add it to PYTHONPATH as well
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const char *potentials_path = getenv("LAMMPS_POTENTIALS");
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if (potentials_path != NULL) {
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PyList_Append(py_path, PY_STRING_FROM_STRING(potentials_path));
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}
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if (potentials_path != NULL) { PyList_Append(py_path, PY_STRING_FROM_STRING(potentials_path)); }
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PyGILState_Release(gstate);
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if (coefffilename) read_coeffs(coefffilename);
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@ -74,7 +72,8 @@ MLIAPModelPython::MLIAPModelPython(LAMMPS* lmp, char* coefffilename) :
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/* ---------------------------------------------------------------------- */
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MLIAPModelPython::~MLIAPModelPython() {
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MLIAPModelPython::~MLIAPModelPython()
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{
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MLIAPPY_unload_model(this);
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}
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@ -82,7 +81,6 @@ MLIAPModelPython::~MLIAPModelPython() {
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get number of parameters
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---------------------------------------------------------------------- */
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int MLIAPModelPython::get_nparams()
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{
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return nparams;
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@ -103,8 +101,7 @@ void MLIAPModelPython::read_coeffs(char *fname)
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if (loaded) {
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this->connect_param_counts();
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}
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else {
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} else {
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utils::logmesg(lmp, "Loading python model deferred.\n");
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}
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}
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@ -126,10 +123,8 @@ void MLIAPModelPython::connect_param_counts()
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PyGILState_Release(gstate);
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model_loaded = 1;
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utils::logmesg(lmp, "Loading python model complete.\n");
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}
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/* ----------------------------------------------------------------------
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Calculate model gradients w.r.t descriptors
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for each atom beta_i = dE(B_i)/dB_i
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@ -137,9 +132,7 @@ void MLIAPModelPython::connect_param_counts()
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void MLIAPModelPython::compute_gradients(MLIAPData *data)
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{
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if (not model_loaded) {
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error->all(FLERR,"Model not loaded.");
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}
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if (not model_loaded) { error->all(FLERR, "Model not loaded."); }
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PyGILState_STATE gstate = PyGILState_Ensure();
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MLIAPPY_compute_gradients(this, data);
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@ -150,7 +143,6 @@ void MLIAPModelPython::compute_gradients(MLIAPData *data)
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error->all(FLERR, "Running python model failure.");
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}
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PyGILState_Release(gstate);
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}
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/* ----------------------------------------------------------------------
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@ -193,7 +185,6 @@ int MLIAPModelPython::get_gamma_nnz(class MLIAPData *)
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return 0;
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}
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double MLIAPModelPython::memory_usage()
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{
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// todo: get approximate memory usage in coupling code.
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