From fa4ad54c728919433c9687aeaecd713fe46b48ca Mon Sep 17 00:00:00 2001 From: Yu Xie Date: Wed, 18 Sep 2019 17:17:08 -0400 Subject: [PATCH 1/2] automatically write lmp file when mgp constructed --- flare/mgp/mgp.py | 165 ++++++++++++++++++++--------------- flare/mgp/otf.py | 9 ++ flare/mgp/splines_methods.py | 2 - flare/mgp/utils.py | 14 ++- tests/test_mgp.py | 5 +- 5 files changed, 112 insertions(+), 83 deletions(-) diff --git a/flare/mgp/mgp.py b/flare/mgp/mgp.py index d1e7bc1f6..547d848a3 100644 --- a/flare/mgp/mgp.py +++ b/flare/mgp/mgp.py @@ -6,7 +6,8 @@ import subprocess import os -from flare import gp, env, struc, kernels +from flare import gp, struc, kernels +from flare.env import AtomicEnvironment from flare.gp import GaussianProcess from flare.kernels import two_body, three_body, two_plus_three_body,\ two_body_jit @@ -20,27 +21,34 @@ class MappedGaussianProcess: def __init__(self, GP: GaussianProcess, grid_params: dict, - struc_params: dict, mean_only=False): - - ''' - :param: GP : gp model - :param: struc_params : {'species': [0, 1], - 'cube_lat': cell, # should input the cell matrix - 'mass_dict': {'0': 27 * unit, '1': 16 * unit}} - :param: grid_params : {'bounds_2': [[1.2], [3.5]], # [[lower_bound], - [upper]] - 'bounds_3': [[1.2, 1.2, 0], [3.5, 3.5, np.pi]], - #[[lower,lower,0],[upper,upper,np.pi]] - 'grid_num_2': 64, - 'grid_num_3': [16, 16, 16], - 'svd_rank_2': 64, - 'svd_rank_3': 16**3, - 'bodies': [2, 3], - 'update': True, - 'load_grid': None} - :param: mean_only : if True: only build mapping for mean (force) + struc_params: dict, mean_only=False, lmp_file_name='lmp.mgp'): ''' + Build MGP + :param: GP : trained GP model + :param: struc_params : information of training data + :param: grid_params : setting of grids for mapping + :param: mean_only : if True: only build mapping for mean (force) + :param: lmp_file_name : lammps coefficient file name + Examples: + + >>> struc_params = {'species': [0, 1], + 'cube_lat': cell, # should input the cell matrix + 'mass_dict': {'0': 27 * unit, '1': 16 * unit}} + >>> grid_params = {'bounds_2': [[1.2], [3.5]], + # [[lower_bound], [upper_bound]] + 'bounds_3': [[1.2, 1.2, 0], [3.5, 3.5, np.pi]], + # [[lower,lower,0],[upper,upper,np.pi]] + 'grid_num_2': 64, + 'grid_num_3': [16, 16, 16], + 'svd_rank_2': 64, + 'svd_rank_3': 16**3, + 'bodies': [2, 3], + 'update': True, # if True: accelerating grids + # generating by saving intermediate + # coeff when generating grids + 'load_grid': None} + ''' self.GP = GP self.grid_params = grid_params self.struc_params = struc_params @@ -62,20 +70,20 @@ def __init__(self, GP: GaussianProcess, grid_params: dict, if 2 in self.bodies: for b_struc in bond_struc[0]: map_2 = Map2body(self.grid_num_2, self.bounds_2, self.GP, - b_struc, self.bodies, - grid_params['load_grid'], - self.svd_rank_2, self.mean_only) + b_struc, self.bodies, self.svd_rank_2, + self.mean_only) self.maps_2.append(map_2) if 3 in self.bodies: for b_struc in bond_struc[1]: map_3 = Map3body(self.grid_num_3, self.bounds_3, self.GP, - b_struc, self.bodies, - grid_params['load_grid'], - self.svd_rank_3, - self.mean_only, self.update) + b_struc, self.bodies, self.svd_rank_3, + self.mean_only, grid_params['load_grid'], + self.update) self.maps_3.append(map_3) + self.write_lmp_file(lmp_file_name) + def build_bond_struc(self, struc_params): ''' @@ -144,7 +152,12 @@ def build_bond_struc(self, struc_params): spcs = [spc_2, spc_3] return bond_struc, spcs - def predict(self, atom_env, mean_only=False): + def predict(self, atom_env: AtomicEnvironment, mean_only: bool=False): + ''' + predict force and variance for given atomic environment + :param atom_env: atomic environment (with a center atom and its neighbors) + :param mean_only: if True: only predict force (variance is always 0) + ''' if self.mean_only: # if not build mapping for var mean_only = True @@ -175,6 +188,9 @@ def predict(self, atom_env, mean_only=False): return f, v def get_2body_comp(self, atom_env, sig, ls, r_cut): + ''' + get bonds grouped by species + ''' bond_array_2 = atom_env.bond_array_2 ctype = atom_env.ctype etypes = atom_env.etypes @@ -189,6 +205,9 @@ def get_2body_comp(self, atom_env, sig, ls, r_cut): return kern2, spcs, comp_r, comp_xyz def get_3body_comp(self, atom_env, sig, ls, r_cut): + ''' + get triplets and grouped by species + ''' bond_array_3 = atom_env.bond_array_3 cross_bond_inds = atom_env.cross_bond_inds cross_bond_dists = atom_env.cross_bond_dists @@ -206,7 +225,6 @@ def get_3body_comp(self, atom_env, sig, ls, r_cut): for d in range(3): kern3_gp[d] = three_body_mc(atom_env, atom_env, d+1, d+1, self.GP.hyps[-3:], self.GP.cutoffs) - # print(kern3, kern3_gp) spcs, comp_r, comp_xyz = \ get_triplets(ctype, etypes, bond_array_3, @@ -215,6 +233,10 @@ def get_3body_comp(self, atom_env, sig, ls, r_cut): def predict_multicomponent(self, atom_env, sig, ls, r_cut, get_comp, spcs_list, mappings, mean_only): + ''' + Add up results from `predict_component` to get the total contribution + of all species + ''' f_spcs = 0 v_spcs = 0 @@ -234,9 +256,7 @@ def predict_multicomponent(self, atom_env, sig, ls, r_cut, get_comp, def predict_component(self, lengths, xyzs, mapping, mean_only): ''' - predict for an atom environment - param: atom_env: ChemicalEnvironment - return force on an atom with its variance + predict force and variance contribution of one component ''' lengths = np.array(lengths) xyzs = np.array(xyzs) @@ -254,33 +274,11 @@ def predict_component(self, lengths, xyzs, mapping, mean_only): v = mapping.var.V @ v_d return f, v - def write_two_plus_three(self, lammps_name): - # write header - f = open(lammps_name, 'w') - - header_comment = '''# #2bodyarray #3bodyarray - # elem1 elem2 a b order - ''' - f.write(header_comment) - - twobodyarray = len(self.spcs[0]) - threebodyarray = len(self.spcs[1]) - lower_cut = self.bounds_2[0][0] - two_cut = self.bounds_2[1][0] - three_cut = self.bounds_3[1][0] - grid_num_2 = self.grid_num_2 - grid_num_3 = self.grid_num_3[0] - angle_lower = self.bounds_3[0][2] - angle_upper = self.bounds_3[1][2] - - header = '\n{} {}\n'.format(twobodyarray, threebodyarray) - f.write(header) - - a = lower_cut - b = two_cut - order = grid_num_2 + def write_two_body(self, f): + a = self.bounds_2[0][0] + b = self.bounds_2[1][0] + order = self.grid_num_2 - # write two body for ind, spc in enumerate(self.spcs[0]): coefs_2 = self.maps_2[ind].mean.model.__coeffs__ @@ -297,10 +295,10 @@ def write_two_plus_three(self, lammps_name): f.write('\n') - # write three body - a = [lower_cut, lower_cut, angle_lower] - b = [three_cut, three_cut, angle_upper] - order = [grid_num_3, grid_num_3, grid_num_3] + def write_three_body(self, f): + a = self.bounds_3[0] + b = self.bounds_3[1] + order = self.grid_num_3 for ind, spc in enumerate(self.spcs[1]): coefs_3 = self.maps_3[ind].mean.model.__coeffs__ @@ -330,12 +328,40 @@ def write_two_plus_three(self, lammps_name): f.write('\n') + def write_lmp_file(self, lammps_name): + ''' + write the coefficients to a file that can be used by lammps pair style + ''' + + # write header + f = open(lammps_name, 'w') + + header_comment = '''# #2bodyarray #3bodyarray + # elem1 elem2 a b order + ''' + f.write(header_comment) + + twobodyarray = len(self.spcs[0]) + threebodyarray = len(self.spcs[1]) + header = '\n{} {}\n'.format(twobodyarray, threebodyarray) + f.write(header) + + # write two body + if twobodyarray > 0: + self.write_two_body(f) + + # write three body + if threebodyarray > 0: + self.write_three_body(f) + + f.close() + + class Map2body: def __init__(self, grid_num, bounds, GP, bond_struc, bodies='2', - load_prefix=None, svd_rank=0, mean_only=False): + svd_rank=0, mean_only=False): ''' - param grids: the 1st element is the number of grids for mean - prediction, the 2nd is for var + Build 2-body MGP ''' self.grid_num = grid_num @@ -370,7 +396,7 @@ def GenGrid(self, GP, bond_struc, processes=mp.cpu_count()): bond_lengths = np.linspace(self.l_bound[0], self.u_bound[0], nop) bond_means = np.zeros([nop]) bond_vars = np.zeros([nop, len(GP.alpha)]) - env12 = env.AtomicEnvironment(bond_struc, 0, self.cutoffs) + env12 = AtomicEnvironment(bond_struc, 0, self.cutoffs) pool_list = [(i, bond_lengths, GP, env12) for i in range(nop)] @@ -432,10 +458,9 @@ def build_map(self, y_mean, y_var): class Map3body: def __init__(self, grid_num, bounds, GP, bond_struc, bodies='3', - load_grid=None, svd_rank=0, mean_only=False, update=True): + svd_rank=0, mean_only=False, load_grid=None, update=True): ''' - param grids: the 1st element is the number of grids for mean - prediction, the 2nd is for var + Build 3-body MGP ''' self.grid_num = grid_num @@ -472,7 +497,7 @@ def GenGrid(self, GP, bond_struc, update, processes=mp.cpu_count()): angles = np.linspace(self.l_bound[2], self.u_bound[2], noa) bond_means = np.zeros([nop, nop, noa]) bond_vars = np.zeros([nop, nop, noa, len(GP.alpha)]) - env12 = env.AtomicEnvironment(bond_struc, 0, self.cutoffs) + env12 = AtomicEnvironment(bond_struc, 0, self.cutoffs) pool_list = [(i, angles[i], bond_lengths, GP, env12, update)\ for i in range(noa)] diff --git a/flare/mgp/otf.py b/flare/mgp/otf.py index 365dfaded..e0dc44c41 100644 --- a/flare/mgp/otf.py +++ b/flare/mgp/otf.py @@ -33,6 +33,15 @@ def __init__(self, qe_input: str, dt: float, number_of_steps: int, l_bound=None, two_d=False, grid_params: dict={}, struc_params: dict={}): + ''' + On-the-fly training with MGP inserted, added parameters: + :param non_mapping_steps: steps that not to use MGP + :param l_bound: initial minimal interatomic distance + :param two_d: if the system is a 2-D system + :param grid_params: see class `MappedGaussianProcess` + :param struc_params: see class `MappedGaussianProcess` + ''' + super().__init__(qe_input, dt, number_of_steps, gp_model, pw_loc, std_tolerance_factor, diff --git a/flare/mgp/splines_methods.py b/flare/mgp/splines_methods.py index c743dc0f3..da92c7b54 100644 --- a/flare/mgp/splines_methods.py +++ b/flare/mgp/splines_methods.py @@ -1,7 +1,5 @@ import numpy as np import numpy -import sys -sys.path.append('../../flare') import time from memory_profiler import profile diff --git a/flare/mgp/utils.py b/flare/mgp/utils.py index e3ca9eb52..9fd945386 100644 --- a/flare/mgp/utils.py +++ b/flare/mgp/utils.py @@ -1,9 +1,11 @@ import numpy as np from numpy import array from numba import njit -import io -import sys -import os +import io, os, sys, time, random, logging +import multiprocessing as mp +import concurrent.futures +import cProfile + import flare.gp as gp import flare.env as env import flare.struc as struc @@ -12,12 +14,6 @@ from flare.kernels import triplet_kernel, three_body_helper_1, \ three_body_helper_2, force_helper from flare.cutoffs import quadratic_cutoff -import time -import random -import logging -import multiprocessing as mp -import concurrent.futures -import cProfile def save_GP(GP, prefix): diff --git a/tests/test_mgp.py b/tests/test_mgp.py index ea651cbe0..90becab10 100644 --- a/tests/test_mgp.py +++ b/tests/test_mgp.py @@ -84,7 +84,7 @@ def test_parse_header(): 'update': True} mgp_model = MappedGaussianProcess(gp_model, grid_params, struc_params, - mean_only=True) + mean_only=True, lmp_file_name=lammps_location) # ------------------------------------------------------------------------- # test the mapped potential @@ -100,7 +100,8 @@ def test_parse_header(): # check lammps potential # ------------------------------------------------------------------------- - mgp_model.write_two_plus_three(lammps_location) + # mgp_model.write_lmp_file(lammps_location) + # lmp file is automatically written now every time MGP is constructed # create test structure species = otf_object.gp_species_list[-1] From 4b65504f87eac9a4532cf7b75c3d6e106a299c02 Mon Sep 17 00:00:00 2001 From: Jonathan Vandermause Date: Wed, 18 Sep 2019 20:09:49 -0400 Subject: [PATCH 2/2] remove tests/mff and tests/test_lammps --- tests/mff/Al2+3.npy | Bin 1040 -> 0 bytes tests/mff/check_lammps.py | 39 - tests/mff/check_mc.py | 177 - tests/mff/check_mff.py | 174 - tests/mff/lj_forces.npy | Bin 768896 -> 0 bytes tests/mff/lj_pos.npy | Bin 768896 -> 0 bytes tests/mff/lj_species.npy | Bin 32160 -> 0 bytes tests/mff/lmp_tmp/CH.airebo | 37595 ------------------ tests/mff/lmp_tmp/data_lammps000001qfpsb_19 | 212 - tests/mff/lmp_tmp/data_lammps000001xl3zw6gm | 212 - tests/mff/lmp_tmp/in_lammps0000015efmp_q9 | 24 - tests/mff/lmp_tmp/in_lammps000001oe7ta5p1 | 24 - tests/mff/lmp_tmp/log_lammps000001aiv_km58 | 72 - tests/mff/lmp_tmp/log_lammps000001c12sym5h | 72 - tests/mff/lmp_tmp/trj_lammps0000017br3s680 | 209 - tests/mff/lmp_tmp/trj_lammps000001lw_x8xy7 | 209 - tests/mff/store_forces.npy | Bin 896 -> 0 bytes tests/mff/store_predictions.npy | Bin 896 -> 0 bytes tests/mff/test_mff.sh | 16 - tests/test_lammps/000_3.npy | Bin 314560 -> 0 bytes tests/test_lammps/001_3.npy | Bin 314560 -> 0 bytes tests/test_lammps/00_2.npy | Bin 656 -> 0 bytes tests/test_lammps/010_3.npy | Bin 314560 -> 0 bytes tests/test_lammps/011_3.npy | Bin 314560 -> 0 bytes tests/test_lammps/01_2.npy | Bin 656 -> 0 bytes tests/test_lammps/100_3.npy | Bin 314560 -> 0 bytes tests/test_lammps/101_3.npy | Bin 314560 -> 0 bytes tests/test_lammps/110_3.npy | Bin 314560 -> 0 bytes tests/test_lammps/111_3.npy | Bin 314560 -> 0 bytes tests/test_lammps/11_2.npy | Bin 656 -> 0 bytes tests/test_lammps/CH2.txt | 13 - tests/test_lammps/CH23.txt | 1621 - tests/test_lammps/CH3.txt | 1621 - tests/test_lammps/check_mc.py | 178 - tests/test_lammps/lj_forces.npy | Bin 768896 -> 0 bytes tests/test_lammps/lj_pos.npy | Bin 768896 -> 0 bytes tests/test_lammps/lj_preds.npy | Bin 24128 -> 0 bytes tests/test_lammps/lj_seps.npy | Bin 8128 -> 0 bytes tests/test_lammps/lj_species.npy | Bin 32160 -> 0 bytes tests/test_lammps/lj_vars.npy | Bin 24128 -> 0 bytes tests/test_lammps/store_forces.npy | Bin 896 -> 0 bytes tests/test_lammps/store_predictions.npy | Bin 896 -> 0 bytes tests/test_lammps/test.py | 178 - tests/test_lammps/write_coefs.py | 74 - 44 files changed, 42720 deletions(-) delete mode 100644 tests/mff/Al2+3.npy delete mode 100644 tests/mff/check_lammps.py delete mode 100644 tests/mff/check_mc.py delete mode 100644 tests/mff/check_mff.py delete mode 100644 tests/mff/lj_forces.npy delete mode 100644 tests/mff/lj_pos.npy delete mode 100644 tests/mff/lj_species.npy delete mode 100644 tests/mff/lmp_tmp/CH.airebo delete mode 100644 tests/mff/lmp_tmp/data_lammps000001qfpsb_19 delete mode 100644 tests/mff/lmp_tmp/data_lammps000001xl3zw6gm delete mode 100644 tests/mff/lmp_tmp/in_lammps0000015efmp_q9 delete mode 100644 tests/mff/lmp_tmp/in_lammps000001oe7ta5p1 delete mode 100644 tests/mff/lmp_tmp/log_lammps000001aiv_km58 delete mode 100644 tests/mff/lmp_tmp/log_lammps000001c12sym5h delete mode 100644 tests/mff/lmp_tmp/trj_lammps0000017br3s680 delete mode 100644 tests/mff/lmp_tmp/trj_lammps000001lw_x8xy7 delete mode 100644 tests/mff/store_forces.npy delete mode 100644 tests/mff/store_predictions.npy delete mode 100644 tests/mff/test_mff.sh delete mode 100644 tests/test_lammps/000_3.npy delete mode 100644 tests/test_lammps/001_3.npy delete mode 100644 tests/test_lammps/00_2.npy delete mode 100644 tests/test_lammps/010_3.npy delete mode 100644 tests/test_lammps/011_3.npy delete mode 100644 tests/test_lammps/01_2.npy delete mode 100644 tests/test_lammps/100_3.npy delete mode 100644 tests/test_lammps/101_3.npy delete mode 100644 tests/test_lammps/110_3.npy delete mode 100644 tests/test_lammps/111_3.npy delete mode 100644 tests/test_lammps/11_2.npy delete mode 100644 tests/test_lammps/CH2.txt delete mode 100644 tests/test_lammps/CH23.txt delete mode 100644 tests/test_lammps/CH3.txt delete mode 100644 tests/test_lammps/check_mc.py delete mode 100644 tests/test_lammps/lj_forces.npy delete mode 100644 tests/test_lammps/lj_pos.npy delete mode 100644 tests/test_lammps/lj_preds.npy delete mode 100644 tests/test_lammps/lj_seps.npy delete mode 100644 tests/test_lammps/lj_species.npy delete mode 100644 tests/test_lammps/lj_vars.npy delete mode 100644 tests/test_lammps/store_forces.npy delete mode 100644 tests/test_lammps/store_predictions.npy delete mode 100644 tests/test_lammps/test.py delete mode 100644 tests/test_lammps/write_coefs.py diff --git a/tests/mff/Al2+3.npy b/tests/mff/Al2+3.npy deleted file mode 100644 index d61fe5d78534f075c4178260fbeab91e9cda84ae..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1040 zcmbtSOH*wN!Ku(0 z7b?S6SGsZS#-HHcpW)tr;6iV2pty45U9>0P`M&f1U_XDl{vxC8XuCN=xyN!#+1%b* zZaSN*MNBXpqKFaNhF5XGsl<65$5ehBlhfH&_Wz##y2}fbM%>JM5u^D=5(pnNhMPKK z)QdtcSmFsCw3MZXB=thZ(%wRshrEbTkLxsS8#;758BNow(Bqtt{{a?$I19b+;KT;> z?L+?t3>a2s@-P??%~)!5r%Q6z7GTiQtjshYF!nEjqUdnZ>5-~>Gv+Yv!X??Xl`)s!y!v5& z9ocQ0U(%AOqo+I+;3^F`Tz27#p~T$ZD#2B!TlxcDf@?=$8M239877=w=?){GQ@BnO zRq7V=$32wP?+i)RgRwUYf*oET}Vfr__43jS0k?bkSP-Hpo zj&TTR)P?Ee2%RCDm4S(0n~!J4XxgNzOWvBSVa8T%caSpVZIzer5F}528w%El+L7FW zPdOA-$EB$<%&MIS5hildK7mpyRDe`N*-o4xS(!TAqcPlV!CZP6Jf>bd;5~J7D*?=_ zyk1hJasvVu%u2Q}{`uR^ca^7sIY-3z1T3~-sXlKm*M7c#bTB-}6XhpZU{v!13iq8w znKhp;M4~n$WrDIo+smoog_WT2tPw?`j@C9;QK_&{ELv!;7)u9gkbIN~c#z2K53Bh< DTx2oq diff --git a/tests/mff/check_lammps.py b/tests/mff/check_lammps.py deleted file mode 100644 index 2c6cb8819..000000000 --- a/tests/mff/check_lammps.py +++ /dev/null @@ -1,39 +0,0 @@ -import os -os.environ['LAMMPS_COMMAND'] = '/n/home08/xiey/lammps-16Mar18/src/lmp_mpi' -import numpy as np - -from ase import Atoms, Atom -from ase.build import bulk, make_supercell -from ase.calculators.lammpsrun import LAMMPS -from ase.lattice.hexagonal import Graphene - -symbol = 'C' -a = 2.46 -c = 20.0 # vaccum -unit_cell = Graphene(symbol, latticeconstant={'a':a,'c':c}) - -multiplier = np.array([[10,0,0],[0,10,0],[0,0,1]]) -super_cell = make_supercell(unit_cell, multiplier) -nat = len(unit_cell.positions) -cell = np.array([[ 25.51020000000000, 0.00000000000000, 0.00000000000000], - [-12.75509999999999, 22.09248125562179, 0.00000000000000], - [ 0.00000000000000, 0.00000000000000, 20.00000000000000]]) -super_cell.cell = cell - -#a = [6.5, 6.5, 7.7] -#d = 2.3608 -#NaCl = Atoms([Atom('Na', [0, 0, 0]), -# Atom('Cl', [0, 0, d])], -# cell=a, pbc=True) - -pot_path = '/n/home08/xiey/lammps-16Mar18/potentials/' -parameters = {'pair_style': 'airebo 3.0', - 'pair_coeff': ['* * '+pot_path+'CH.airebo C'], - 'mass': ['* 12.0107']} -files = [pot_path+'CH.airebo'] - - -calc = LAMMPS(keep_tmp_files=True, tmp_dir='lmp_tmp/', parameters=parameters, files=files) -super_cell.set_calculator(calc) - -print(super_cell.get_forces()) diff --git a/tests/mff/check_mc.py b/tests/mff/check_mc.py deleted file mode 100644 index 38ab88d83..000000000 --- a/tests/mff/check_mc.py +++ /dev/null @@ -1,177 +0,0 @@ -import numpy as np -import sys -sys.path.append('../..') -import time - -from flare import struc, gp, env -from flare.mff.mff_mc import MappedForceField -from mc_kernels import mc_simple, mc -import matplotlib.pyplot as plt - -# ---------------------------------------- -# This is adapted from flare_test.py -# ---------------------------------------- - - -# ------------- load lj -t0 = time.time() -lj_species = np.load('lj_species.npy') -lj_pos = np.load('lj_pos.npy') -lj_forces = np.load('lj_forces.npy') - -# set cell -cell = np.eye(3) * 8.092 - -# ------------- create training structures -# train_snaps = [100, 200, 300, 400] -train_snaps = [100] -train_strucs = [] -train_forces = [] -for snap in train_snaps: - train_strucs.append(struc.Structure(cell, lj_species[snap], lj_pos[snap])) - train_forces.append(lj_forces[snap]) - -# ------------- create test structures -test_snaps = [900] #, 600, 700, 800, 900] -test_strucs = [] -test_forces = [] -for snap in test_snaps: - test_strucs.append(struc.Structure(cell, lj_species[snap], lj_pos[snap])) - test_forces.append(lj_forces[snap]) -print('data ready:', time.time() - t0) - -# ------------- initialize gp model -t0 = time.time() -kernel = mc_simple.two_plus_three_body_mc -kernel_grad = mc_simple.two_plus_three_body_mc_grad -energy_force_kernel = mc_simple.two_plus_three_mc_force_en -hyps = np.array([0.5, 1, 0.001, 1, 0.1]) -#kernel = mc_simple.three_body_mc -#kernel_grad = mc_simple.three_body_mc_grad -#energy_force_kernel = mc_simple.three_body_mc_force_en -#hyps = np.array([1, 1, 1]) -cutoffs = np.array([3.5, 3.5]) -opt_algorithm = 'BFGS' -maxiter = 1000 - -gp_model = gp.GaussianProcess(kernel, kernel_grad, hyps, cutoffs, - energy_force_kernel=energy_force_kernel, - opt_algorithm=opt_algorithm, - maxiter=maxiter) - -# --------------- train gp model -for struc_curr, forces in zip(train_strucs, train_forces): - gp_model.update_db(struc_curr, forces) - -gp_model.set_L_alpha() -#gp_model.train(False) #True) -print('gp built:', time.time() - t0) - -# --------------- set mff params -t0 = time.time() -unit = 0.00010364269933008285 -struc_params = {'species': [0, 1], - 'cube_lat': cell, - 'mass_dict': {'0': 27 * unit, '1': 16 * unit}} - -grid_params = {'bounds_2': [[1.2], [3.5]], # build 2body mapping in interval [1.2, 3.5] with 64 grid points - 'bounds_3': [[1.2, 1.2, 0], [3.5, 3.5, np.pi]], - 'grid_num_2': 64, - 'grid_num_3': [16, 16, 16], - 'svd_rank_2': 64, - 'svd_rank_3': 100, - 'bodies': [2, 3], - 'load_grid': None, - 'load_svd': None} - -mff_model = MappedForceField(gp_model, grid_params, struc_params, mean_only=False) -print('mff model built:', time.time() - t0) - -# --------------- test gp model and mff model -store_predictions = [] -store_mffpred = [] -store_forces = [] -var_err = 0 -for n, snap in enumerate(test_snaps): - structure = test_strucs[n] - forces = test_forces[n] - noa = len(structure.positions) - - predictions = np.zeros([noa, 3]) - variances = np.zeros([noa, 3]) - mff_pred = np.zeros([noa, 3]) - mff_var = np.zeros([noa, 3]) - - for atom in range(noa): - env_curr = env.AtomicEnvironment(structure, atom, cutoffs) - - for m in range(3): - d = m+1 - comp_pred, comp_var = gp_model.predict(env_curr, d) - predictions[atom, m] = comp_pred - variances[atom, m] = comp_var - - # make prediction with mff - mff_f, mff_v = mff_model.predict(env_curr, mean_only=False) - mff_pred[atom, :] = mff_f - mff_var[atom, :] = mff_v - var_err += np.mean(np.absolute(mff_v-variances[atom, :])) -# print(env_curr.ctype, mff_v, variances[atom]) - - store_predictions.append(predictions) - store_mffpred.append(mff_pred) - store_forces.append(forces) - -# ----------------- save predictions and ground truth -store_predictions = np.array(store_predictions).reshape(-1) -store_mffpred = np.array(store_mffpred).reshape(-1) -store_forces = np.array(store_forces).reshape(-1) -np.save('store_predictions', store_predictions) -np.save('store_forces', store_forces) - -# ----------------- get prediction err -gp_err = np.mean(np.absolute(store_predictions-store_forces)) -mff_err = np.mean(np.absolute(store_mffpred-store_forces)) -mff_gp = np.mean(np.absolute(store_mffpred-store_predictions)) -var_err /= noa * len(test_snaps) -print('gp err:', gp_err) -print('mff err:', mff_err) -print('mff - gp:', mff_gp) -print('var err:', var_err) - -# ----------------- save coeffs of mff --------------------- -if 2 in grid_params['bodies']: - for ind, spc in enumerate(mff_model.spcs[0]): - save_name = '{}{}_{}'.format(spc[0],spc[1],2) - np.save(save_name, mff_model.maps_2[ind].mean.model.__coeffs__) - -if 3 in grid_params['bodies']: - for ind, spc in enumerate(mff_model.spcs[1]): - save_name = '{}{}{}_{}'.format(spc[0],spc[1],spc[2],3) - np.save(save_name, mff_model.maps_3[ind].mean.model.__coeffs__) - - -## ----------------- reconstruct lj profiles -#cell = np.eye(3) * 10 -#species_list = np.array([[0, 0], [0, 1], [1, 1]], dtype=np.int8) -#seps = np.linspace(0.5, 4, 1000) -#cutoffs = np.array([3.5]) -#preds = np.zeros((3, seps.shape[0])) -#variances = np.zeros((3, seps.shape[0])) -# -#for n, sep in enumerate(seps): -# positions = np.array([[0, 0, 0], [sep, 0, 0]]) -# -# for m, species in enumerate(species_list): -# struc_curr = struc.Structure(cell, species, positions) -# struc_curr.coded_species = species -# struc_curr.nos = 2 -# env_curr = env.AtomicEnvironment(struc_curr, 0, cutoffs) -# pred_curr = gp_model.predict(env_curr, 1) -# preds[m, n] = pred_curr[0] -# variances[m, n] = pred_curr[1] -# -## save reconstructed lj profiles -#np.save('lj_seps', seps) -#np.save('lj_preds', preds) -#np.save('lj_vars', variances) diff --git a/tests/mff/check_mff.py b/tests/mff/check_mff.py deleted file mode 100644 index 4d9bf8da4..000000000 --- a/tests/mff/check_mff.py +++ /dev/null @@ -1,174 +0,0 @@ -import numpy as np -import sys -from flare import gp, env, struc, kernels -import flare.mff as mff -from flare.modules import qe_parsers, analyze_gp -import time - - -# def compare(md_trajectory, mff_test, test_snaps, cutoffs, log_file, mean_only): -# ''' -# :param data: file for testing -# :param test_snaps: snapshots selected for testing -# ''' - -# f = open(log_file, mode='w') - -# mean_err = [] -# var_err = [] -# for s, snap in enumerate(test_snaps): -# structure = md_trajectory.get_structure_from_snap(snap) -# forces = md_trajectory.get_forces_from_snap(snap) -# atom_num = len(forces) - -# f.write('\n'+'-'*20) -# f.write('snap:'+str(snap)+'\n') -# for atom in range(atom_num): -# t0 = time.time() -# atom_env = env.AtomicEnvironment(structure, atom, cutoffs) -# env_time = time.time()-t0 -# atom_force = forces[atom] - -# # ----- gp prediction -------- -# t0 = time.time() -# gp_pred_x = mff_test.GP.predict(atom_env, 1) -# gp_pred_y = mff_test.GP.predict(atom_env, 2) -# gp_pred_z = mff_test.GP.predict(atom_env, 3) -# gp_pred = [(gp_pred_x[0], gp_pred_y[0], gp_pred_z[0]), \ -# (gp_pred_x[1], gp_pred_y[1], gp_pred_z[1])] -# gp_time = time.time()-t0 - -# # ------ mff prediction --------- -# t0 = time.time() -# mff_pred = mff_test.predict(atom_env, mean_only) -# mff_time = time.time()-t0 - -# mean_err.append(np.absolute(np.array(gp_pred[0])-np.array(mff_pred[0]))) -# var_err.append(np.absolute(np.array(gp_pred[1])-np.array(mff_pred[1]))) - -# f.write('true force:'+np.array2string(atom_force)+'\n') -# f.write('env time:'+str(env_time)+'\n') -# f.write('gp mean:'+str(gp_pred[0])+'\n') -# f.write('gp var:'+str(gp_pred[1])+'\n') -# f.write('gp time:'+str(gp_time)+'\n') -# f.write('mff mean:'+np.array2string(mff_pred[0])+'\n') -# f.write('mff var:'+np.array2string(mff_pred[1])+'\n') -# f.write('mff time:'+str(mff_time)+'\n') -# f.write('\n') - -# f.write('\n') -# f.close() -# return np.mean(mean_err), np.mean(var_err) - - -# def get_gp_from_snaps(md_trajectory, training_snaps, kernel, custom_range, -# kernel_grad, hyps, cutoffs, algorithm='BFGS'): - -# gp_model = gp.GaussianProcess(kernel, kernel_grad, hyps, -# cutoffs, opt_algorithm=algorithm) - -# for snap in training_snaps: -# structure = md_trajectory.get_structure_from_snap(snap) -# forces = md_trajectory.get_forces_from_snap(snap) -# gp_model.update_db(structure, forces, custom_range) -# gp_model.set_L_alpha() - -# return gp_model - -# param_file = sys.argv[1] -# param_dict = np.load(param_file).item() -# GP_params = param_dict['GP_params'] -# grid_params = param_dict['grid_params'] -# struc_params = param_dict['struc_params'] -# data_file = 'Al_md.out' # param_dict['data_file'] - -# struc_params['cube_lat'] *= np.eye(3) - -# cutoffs = GP_params['cutoffs'] -# kernel = GP_params['kernel'] -# kernel_grad = GP_params['kernel_grad'] -# hyps = GP_params['hyps'] -# hyp_labels = GP_params['hyp_labels'] - -# species = struc_params['species'] -# bodies = grid_params['bodies'] - - -# # ------------build gp------------ -# def test(train_size, gn, mean_only): -# custom_range = [i for i in range(train_size)] -# cell = struc_params['cube_lat'] -# md_trajectory = analyze_gp.MDAnalysis(data_file, cell) - -# t0 = time.time() -# training_snaps = [20, 50] -# print('traj built') -# GP = get_gp_from_snaps(md_trajectory, training_snaps, kernel, -# custom_range, kernel_grad, hyps, cutoffs) -# # GP.train(monitor=False) -# GP.set_L_alpha() -# print('gp building time:', time.time()-t0) -# ky_mat_inv = GP.ky_mat_inv -# alpha = GP.alpha - -# # test update_L_alpha -# snap = 20 -# GP_new = get_gp_from_snaps(md_trajectory, [snap], kernel, -# custom_range, kernel_grad, hyps, -# cutoffs) -# GP_new.set_L_alpha() -# snap = 50 -# structure = md_trajectory.get_structure_from_snap(snap) -# forces = md_trajectory.get_forces_from_snap(snap) -# GP_new.update_db(structure, forces, custom_range) -# GP_new.update_L_alpha_v1() -# new_ky_mat_inv = GP_new.ky_mat_inv -# new_alpha = GP_new.alpha -# print(np.all(np.absolute(new_ky_mat_inv - ky_mat_inv)<1e-6)) -# print(np.all(np.absolute(new_alpha - alpha)<1e-6)) - -# raise('err') -# # test -# test_snaps = [900] -# training_size = str(len(custom_range)*len(training_snaps)) - -# # mff params -# if bodies == 3: -# grid_params['grid_num_3'] = (gn, gn, gn) -# grid_params['svd_rank'] = np.min((3 * int(training_size), gn**3)) -# elif bodies == 2: -# grid_params['grid_num_2'] = gn -# elif bodies == '2+3': -# grid_params['grid_num_3'] = (gn, gn, gn) -# grid_params['svd_rank'] = np.min((3 * int(training_size), gn**3)) -# grid_params['grid_num_2'] = gn - -# grid_number = str(gn) -# t0 = time.time() -# mff_test = mff.MappedForceField(GP, grid_params, struc_params) -# print('mff built, time:', time.time()-t0) -# print('svd rank:', mff_test.svd_rank) - -# # save as a .txt file -# filelabel = species+'-g' + grid_number + '-t' + training_size + '-s'\ -# + str(grid_params['svd_rank']) - -# filename = filelabel + '.txt' -# filepath = './' -# if mean_only: -# log_file = filepath+'mean-'+filename -# else: -# log_file = filepath + filename -# print('results saved in:', log_file) -# mean_err, var_err = compare(md_trajectory, mff_test, test_snaps, cutoffs, -# log_file, mean_only) -# return mean_err, var_err - -# max_num = int(sys.argv[2]) -# for train_size in [1]: #range(3, max_num+1): -# for g_power in [5]: #range(6): -# # gn = 2 ** (g_power+1) -# gn = 64 -# mean_err, var_err = test(train_size, gn, mean_only=False) -# print('mean error:', mean_err) -# print('var error:', var_err) diff --git a/tests/mff/lj_forces.npy b/tests/mff/lj_forces.npy deleted file mode 100644 index 9aa1dbc7f098ec86c582f40a09b450d93c325cd0..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 768896 zcmb4~_dnI||HtjU_ui50U5V?m3Z;-D(V!He$SNug8I?^^$R_C>krmfvW`*pXz4zX} z=kq6g&+T@8IIr6|xAVH)Ua!}6Js$VR;~8=Ol9BNhVj>SBZ;4yCAKJP~oD`BcWp`Xc zT1dj~zN?$-P3PZxsBK z(HX&Tce2lBfF>hU&V}U(`phEOSwLyl~y%c1ojh+7cJrlrN_IEpTZlg^h>#~oU>EOj^{o{wB1;D4D z>Z7<`DLU0&`TRs+EKq5EXP$bZ25`x6J=TgTMXX1^-#s;)g(l~|>!(_kp-Wd>xe^XP zqy8n0j!|5N*logfhOU=^@|nkTVJkV{rgW6u$!m>BzW!o5vwYHQb3uB@dl&sp@McxrvNP{*IJp&Y-h0 zL2b6dBZ!!$>|e!r8aT({9cG{z0YrZAUCRkAL&R(5nfwXN;OD-8E2&B>s#lWVR(M>G zD(x$HN-4jiCvgyrqQP;`eZOee zX)y6%j`)N5G)jS=mRYoNkwN;)kVMNmu<%=FyQJYeBI~HFcwL$VYPLg*ZVxPgquPe= z3zLh{eUobnD`n+~&v=J-DZd@r?UE&tkyn7(LaO$|qj{*~H?NIH;52%)!<(g|MFbry 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+0,0 @@ -# DATE: 2011-10-25 CONTRIBUTOR: Ase Henry, ase@gatech.edu CITATION: Stuart, Tutein and Harrison, J Chem Phys, 112, 6472-6486 (2000) -# AIREBO Brenner/Stuart potential -# Cite as S. J. Stuart, A. B. Tutein, J. A. Harrison, -# "A reactive potential for hydrocarbons with intermolecular interactions", -# J. Chem. Phys. 112 (2000) 6472-6486. - -1.7 rcmin_CC -1.3 rcmin_CH -1.1 rcmin_HH -2.0 rcmax_CC -1.8 rcmax_CH -1.7 rcmax_HH -2.0 rcmaxp_CC -1.6 rcmaxp_CH -1.7 rcmaxp_HH -0.1 smin -2.0 Nmin -3.0 Nmax -3.2 NCmin -3.7 NCmax -0.3134602960832605 Q_CC -0.3407757282257080 Q_CH -0.370 Q_HH -4.746539060659529 alpha_CC -4.102549828548784 alpha_CH -3.536 alpha_HH -10953.54416216992 A_CC -149.940987228812 A_CH -31.6731 A_HH -12388.79197798375 BIJc_CC1 -17.56740646508968 BIJc_CC2 -30.71493208065162 BIJc_CC3 -32.35518665873256 BIJc_CH1 -0.0 BIJc_CH2 -0.0 BIJc_CH3 -28.2297 BIJc_HH1 -0.0 BIJc_HH2 -0.0 BIJc_HH3 -4.720452312717397 Beta_CC1 -1.433213249951261 Beta_CC2 -1.382691250599169 Beta_CC3 -1.434458059249837 Beta_CH1 -0.0 Beta_CH2 -0.0 Beta_CH3 -1.708 Beta_HH1 -1.0 Beta_HH2 -1.0 Beta_HH3 -0.0 rho_CC -1.09 rho_CH -0.7415887 rho_HH -3.4 rcLJmin_CC -3.025 rcLJmin_CH -2.65 rcLJmin_HH -3.816370964 rcLJmax_CC -3.395447696 rcLJmax_CH -2.974524428 rcLJmax_HH -0.77 bLJmin_CC -0.75 bLJmin_CH -0.32 bLJmin_HH -0.81 bLJmax_CC -0.9 bLJmax_CH -0.42 bLJmax_HH -0.002843732471143 epsilon_CC -0.002064935027177 epsilon_CH -0.001499422575693 epsilon_HH -3.4 sigma_CC -3.025 sigma_CH -2.65 sigma_HH -0.3078851086 epsilonT_CCCC -0.1786600912 epsilonT_CCCH -0.1249753356 epsilonT_HCCH - -# gC1 and gC2 - -5 --1.0 --0.6666666667 --0.5 --0.3333333333 -1.0 - - 0.2816950000 - 1.0627430000 - 2.1363075000 - 2.5334145000 - 1.5544035000 - 0.3862485000 - 0.2827390000 - 1.0718770000 - 2.1681365000 - 2.5885710000 - 1.6019100000 - 0.4025160000 - 0.6900250000 - 5.4601600000 - 23.0108000000 - 54.9086400000 - 68.6124000000 - 34.7051520000 - 0.2718560918 - 0.4892740137 - -0.4328177539 - -0.5616817383 - 1.2708702246 - -0.0375008379 - - 0.2816950000 - 1.0627430000 - 2.1363075000 - 2.5334145000 - 1.5544035000 - 0.3862485000 - 0.2827390000 - 1.0718770000 - 2.1681365000 - 2.5885710000 - 1.6019100000 - 0.4025160000 - 0.6900250000 - 5.4601600000 - 23.0108000000 - 54.9086400000 - 68.6124000000 - 34.7051520000 - 0.3754514434 - 1.4072691309 - 2.2551320117 - 2.0288747461 - 1.4269207324 - 0.5063519355 - -# gH - -4 --1.0 --0.8333333333 --0.5 -1.0 - - 270.4568000026 - 1549.6358000143 - 3781.7719000316 - 4582.1544000348 - 2721.4308000191 - 630.6336000042 - 16.9534406250 - -21.0823875000 - -102.4683000000 - -210.6432299999 - -229.8471299999 - -94.9946400000 - 19.0650249321 - 2.0177562840 - -2.5664219198 - 3.2913322346 - -2.6535615062 - 0.8376699753 - -# pCC - -4 -0.0 -4.0 -0.0 -4.0 - - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - -0.0986400000 - 0.0657600000 - 0.0000000000 - 0.0000000000 - 0.0657600000 - -0.0438400000 - -0.0025000000 - 0.0060000000 - -0.0045000000 - 0.0010000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.2339100000 - -0.6402960000 - 0.4802220000 - -0.1067160000 - -0.1559400000 - 0.4268640000 - -0.3201480000 - 0.0711440000 - 0.4650000000 - -0.5985000000 - 0.2493750000 - -0.0332500000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - -1.9074060000 - 2.4787080000 - -1.0327950000 - 0.1377060000 - 1.2716040000 - -1.6524720000 - 0.6885300000 - -0.0918040000 - -1.2900000000 - 1.1610000000 - -0.3386250000 - 0.0322500000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 3.8700000000 - -3.4830000000 - 1.0158750000 - -0.0967500000 - -2.5800000000 - 2.3220000000 - -0.6772500000 - 0.0645000000 - -0.1380150000 - 0.0000000000 - 0.5932650000 - -0.3955100000 - 0.3312360000 - 0.0000000000 - -1.5027480000 - 1.0018320000 - -0.2484270000 - 0.0000000000 - 1.1270610000 - -0.7513740000 - 0.0552060000 - 0.0000000000 - -0.2504580000 - 0.1669720000 - -0.3654800000 - 1.0205280000 - -0.7653960000 - 0.1700880000 - 1.0582800000 - -2.9471040000 - 2.2103280000 - -0.4911840000 - -0.7937100000 - 2.2103280000 - -1.6577460000 - 0.3683880000 - 0.1763800000 - -0.4911840000 - 0.3683880000 - -0.0818640000 - 0.6832080000 - -0.9109440000 - 0.3795600000 - -0.0506080000 - -2.0496240000 - 2.7328320000 - -1.1386800000 - 0.1518240000 - 1.5372180000 - -2.0496240000 - 0.8540100000 - -0.1138680000 - -0.3416040000 - 0.4554720000 - -0.1897800000 - 0.0253040000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.7452810000 - 0.0000000000 - -2.4934230000 - 1.6622820000 - -0.9937080000 - 0.0000000000 - 3.3245640000 - -2.2163760000 - 0.4140450000 - 0.0000000000 - -1.3852350000 - 0.9234900000 - -0.0552060000 - 0.0000000000 - 0.1846980000 - -0.1231320000 - 0.3434400000 - -1.0303200000 - 0.7727400000 - -0.1717200000 - -0.4579200000 - 1.3737600000 - -1.0303200000 - 0.2289600000 - 0.1908000000 - -0.5724000000 - 0.4293000000 - -0.0954000000 - -0.0254400000 - 0.0763200000 - -0.0572400000 - 0.0127200000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - -# pCH - -4 -0.0 -4.0 -0.0 -4.0 - - 0.0000000000 - 0.0000000000 - 0.6280110000 - -0.4186740000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0300000000 - 0.0000000000 - -3.1001400000 - 2.0667600000 - -0.0200000000 - 0.0000000000 - 2.0667600000 - -1.3778400000 - -1.1595980000 - 3.2854440000 - -2.4640830000 - 0.5475740000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.4966950000 - -3.6001800000 - 2.7001350000 - -0.6000300000 - -0.3311300000 - 2.4001200000 - -1.8000900000 - 0.4000200000 - -6.7698340000 - 8.6212080000 - -3.5921700000 - 0.4789560000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 44.5208070000 - -58.1453640000 - 24.2272350000 - -3.2302980000 - -29.6805380000 - 38.7635760000 - -16.1514900000 - 2.1535320000 - 24.3142400000 - -21.8828160000 - 6.3824880000 - -0.6078560000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - 0.0000000000 - -72.9427200000 - 65.6484480000 - -19.1474640000 - 1.8235680000 - 48.6284800000 - -43.7656320000 - 12.7649760000 - -1.2157120000 - -0.6502100000 - 0.0000000000 - -1.0558290000 - 0.7038860000 - 1.5845040000 - 0.0000000000 - 1.5611040000 - -1.0407360000 - -1.1883780000 - 0.0000000000 - -1.1708280000 - 0.7805520000 - 0.2640840000 - 0.0000000000 - 0.2601840000 - -0.1734560000 - 9.9867120000 - -26.3732760000 - 19.7799570000 - -4.3955460000 - -26.3537880000 - 68.3007840000 - -51.2255880000 - 11.3834640000 - 19.7653410000 - -51.2255880000 - 38.4191910000 - -8.5375980000 - -4.3922980000 - 11.3834640000 - -8.5375980000 - 1.8972440000 - -32.2817400000 - 43.0423200000 - -17.9343000000 - 2.3912400000 - 96.8452200000 - 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--- a/tests/mff/lmp_tmp/data_lammps000001xl3zw6gm +++ /dev/null @@ -1,212 +0,0 @@ -/n/scratchlfs/kozinsky_lab/xiey/flare/tests/test_mff/lmp_tmp/data_lammps000001xl3zw6gm (written by ASE) - -200 atoms -1 atom types -0.0 24.600000000 xlo xhi -0.0 21.304224933 ylo yhi -0.0 20.000000000 zlo zhi --12.299999999 0E-9 0E-9 xy xz yz - - -Atoms - - 1 1 0E-9 0E-9 0E-9 - 2 1 0E-9 1.420281662 0E-9 - 3 1 -1.230000000 2.130422493 0E-9 - 4 1 -1.230000000 3.550704156 0E-9 - 5 1 -2.460000000 4.260844987 0E-9 - 6 1 -2.460000000 5.681126649 0E-9 - 7 1 -3.690000000 6.391267480 0E-9 - 8 1 -3.690000000 7.811549142 0E-9 - 9 1 -4.920000000 8.521689973 0E-9 - 10 1 -4.920000000 9.941971635 0E-9 - 11 1 -6.150000000 10.652112467 0E-9 - 12 1 -6.150000000 12.072394129 0E-9 - 13 1 -7.380000000 12.782534960 0E-9 - 14 1 -7.380000000 14.202816622 0E-9 - 15 1 -8.610000000 14.912957453 0E-9 - 16 1 -8.610000000 16.333239115 0E-9 - 17 1 -9.840000000 17.043379946 0E-9 - 18 1 -9.840000000 18.463661609 0E-9 - 19 1 -11.070000000 19.173802440 0E-9 - 20 1 -11.070000000 20.594084102 0E-9 - 21 1 2.460000000 0E-9 0E-9 - 22 1 2.460000000 1.420281662 0E-9 - 23 1 1.230000000 2.130422493 0E-9 - 24 1 1.230000000 3.550704156 0E-9 - 25 1 0E-9 4.260844987 0E-9 - 26 1 0E-9 5.681126649 0E-9 - 27 1 -1.230000000 6.391267480 0E-9 - 28 1 -1.230000000 7.811549142 0E-9 - 29 1 -2.460000000 8.521689973 0E-9 - 30 1 -2.460000000 9.941971635 0E-9 - 31 1 -3.690000000 10.652112467 0E-9 - 32 1 -3.690000000 12.072394129 0E-9 - 33 1 -4.920000000 12.782534960 0E-9 - 34 1 -4.920000000 14.202816622 0E-9 - 35 1 -6.150000000 14.912957453 0E-9 - 36 1 -6.150000000 16.333239115 0E-9 - 37 1 -7.380000000 17.043379946 0E-9 - 38 1 -7.380000000 18.463661609 0E-9 - 39 1 -8.610000000 19.173802440 0E-9 - 40 1 -8.610000000 20.594084102 0E-9 - 41 1 4.920000000 0E-9 0E-9 - 42 1 4.920000000 1.420281662 0E-9 - 43 1 3.690000000 2.130422493 0E-9 - 44 1 3.690000000 3.550704156 0E-9 - 45 1 2.460000000 4.260844987 0E-9 - 46 1 2.460000000 5.681126649 0E-9 - 47 1 1.230000000 6.391267480 0E-9 - 48 1 1.230000000 7.811549142 0E-9 - 49 1 0E-9 8.521689973 0E-9 - 50 1 0E-9 9.941971635 0E-9 - 51 1 -1.230000000 10.652112467 0E-9 - 52 1 -1.230000000 12.072394129 0E-9 - 53 1 -2.460000000 12.782534960 0E-9 - 54 1 -2.460000000 14.202816622 0E-9 - 55 1 -3.690000000 14.912957453 0E-9 - 56 1 -3.690000000 16.333239115 0E-9 - 57 1 -4.920000000 17.043379946 0E-9 - 58 1 -4.920000000 18.463661609 0E-9 - 59 1 -6.150000000 19.173802440 0E-9 - 60 1 -6.150000000 20.594084102 0E-9 - 61 1 7.380000000 0E-9 0E-9 - 62 1 7.380000000 1.420281662 0E-9 - 63 1 6.150000000 2.130422493 0E-9 - 64 1 6.150000000 3.550704156 0E-9 - 65 1 4.920000000 4.260844987 0E-9 - 66 1 4.920000000 5.681126649 0E-9 - 67 1 3.690000000 6.391267480 0E-9 - 68 1 3.690000000 7.811549142 0E-9 - 69 1 2.460000000 8.521689973 0E-9 - 70 1 2.460000000 9.941971635 0E-9 - 71 1 1.230000000 10.652112467 0E-9 - 72 1 1.230000000 12.072394129 0E-9 - 73 1 0E-9 12.782534960 0E-9 - 74 1 0E-9 14.202816622 0E-9 - 75 1 -1.230000000 14.912957453 0E-9 - 76 1 -1.230000000 16.333239115 0E-9 - 77 1 -2.460000000 17.043379946 0E-9 - 78 1 -2.460000000 18.463661609 0E-9 - 79 1 -3.690000000 19.173802440 0E-9 - 80 1 -3.690000000 20.594084102 0E-9 - 81 1 9.840000000 0E-9 0E-9 - 82 1 9.840000000 1.420281662 0E-9 - 83 1 8.610000000 2.130422493 0E-9 - 84 1 8.610000000 3.550704156 0E-9 - 85 1 7.380000000 4.260844987 0E-9 - 86 1 7.380000000 5.681126649 0E-9 - 87 1 6.150000000 6.391267480 0E-9 - 88 1 6.150000000 7.811549142 0E-9 - 89 1 4.920000000 8.521689973 0E-9 - 90 1 4.920000000 9.941971635 0E-9 - 91 1 3.690000000 10.652112467 0E-9 - 92 1 3.690000000 12.072394129 0E-9 - 93 1 2.460000000 12.782534960 0E-9 - 94 1 2.460000000 14.202816622 0E-9 - 95 1 1.230000000 14.912957453 0E-9 - 96 1 1.230000000 16.333239115 0E-9 - 97 1 0E-9 17.043379946 0E-9 - 98 1 0E-9 18.463661609 0E-9 - 99 1 -1.230000000 19.173802440 0E-9 - 100 1 -1.230000000 20.594084102 0E-9 - 101 1 12.300000000 0E-9 0E-9 - 102 1 12.300000000 1.420281662 0E-9 - 103 1 11.070000000 2.130422493 0E-9 - 104 1 11.070000000 3.550704156 0E-9 - 105 1 9.840000000 4.260844987 0E-9 - 106 1 9.840000000 5.681126649 0E-9 - 107 1 8.610000000 6.391267480 0E-9 - 108 1 8.610000000 7.811549142 0E-9 - 109 1 7.380000000 8.521689973 0E-9 - 110 1 7.380000000 9.941971635 0E-9 - 111 1 6.150000000 10.652112467 0E-9 - 112 1 6.150000000 12.072394129 0E-9 - 113 1 4.920000000 12.782534960 0E-9 - 114 1 4.920000000 14.202816622 0E-9 - 115 1 3.690000000 14.912957453 0E-9 - 116 1 3.690000000 16.333239115 0E-9 - 117 1 2.460000000 17.043379946 0E-9 - 118 1 2.460000000 18.463661609 0E-9 - 119 1 1.230000000 19.173802440 0E-9 - 120 1 1.230000000 20.594084102 0E-9 - 121 1 14.760000000 0E-9 0E-9 - 122 1 14.760000000 1.420281662 0E-9 - 123 1 13.530000000 2.130422493 0E-9 - 124 1 13.530000000 3.550704156 0E-9 - 125 1 12.300000000 4.260844987 0E-9 - 126 1 12.300000000 5.681126649 0E-9 - 127 1 11.070000000 6.391267480 0E-9 - 128 1 11.070000000 7.811549142 0E-9 - 129 1 9.840000000 8.521689973 0E-9 - 130 1 9.840000000 9.941971635 0E-9 - 131 1 8.610000000 10.652112467 0E-9 - 132 1 8.610000000 12.072394129 0E-9 - 133 1 7.380000000 12.782534960 0E-9 - 134 1 7.380000000 14.202816622 0E-9 - 135 1 6.150000000 14.912957453 0E-9 - 136 1 6.150000000 16.333239115 0E-9 - 137 1 4.920000000 17.043379946 0E-9 - 138 1 4.920000000 18.463661609 0E-9 - 139 1 3.690000000 19.173802440 0E-9 - 140 1 3.690000000 20.594084102 0E-9 - 141 1 17.220000000 0E-9 0E-9 - 142 1 17.220000000 1.420281662 0E-9 - 143 1 15.990000000 2.130422493 0E-9 - 144 1 15.990000000 3.550704156 0E-9 - 145 1 14.760000000 4.260844987 0E-9 - 146 1 14.760000000 5.681126649 0E-9 - 147 1 13.530000000 6.391267480 0E-9 - 148 1 13.530000000 7.811549142 0E-9 - 149 1 12.300000000 8.521689973 0E-9 - 150 1 12.300000000 9.941971635 0E-9 - 151 1 11.070000000 10.652112467 0E-9 - 152 1 11.070000000 12.072394129 0E-9 - 153 1 9.840000000 12.782534960 0E-9 - 154 1 9.840000000 14.202816622 0E-9 - 155 1 8.610000000 14.912957453 0E-9 - 156 1 8.610000000 16.333239115 0E-9 - 157 1 7.380000000 17.043379946 0E-9 - 158 1 7.380000000 18.463661609 0E-9 - 159 1 6.150000000 19.173802440 0E-9 - 160 1 6.150000000 20.594084102 0E-9 - 161 1 19.680000000 0E-9 0E-9 - 162 1 19.680000000 1.420281662 0E-9 - 163 1 18.450000000 2.130422493 0E-9 - 164 1 18.450000000 3.550704156 0E-9 - 165 1 17.220000000 4.260844987 0E-9 - 166 1 17.220000000 5.681126649 0E-9 - 167 1 15.990000000 6.391267480 0E-9 - 168 1 15.990000000 7.811549142 0E-9 - 169 1 14.760000000 8.521689973 0E-9 - 170 1 14.760000000 9.941971635 0E-9 - 171 1 13.530000000 10.652112467 0E-9 - 172 1 13.530000000 12.072394129 0E-9 - 173 1 12.300000000 12.782534960 0E-9 - 174 1 12.300000000 14.202816622 0E-9 - 175 1 11.070000000 14.912957453 0E-9 - 176 1 11.070000000 16.333239115 0E-9 - 177 1 9.840000000 17.043379946 0E-9 - 178 1 9.840000000 18.463661609 0E-9 - 179 1 8.610000000 19.173802440 0E-9 - 180 1 8.610000000 20.594084102 0E-9 - 181 1 22.140000000 0E-9 0E-9 - 182 1 22.140000000 1.420281662 0E-9 - 183 1 20.910000000 2.130422493 0E-9 - 184 1 20.910000000 3.550704156 0E-9 - 185 1 19.680000000 4.260844987 0E-9 - 186 1 19.680000000 5.681126649 0E-9 - 187 1 18.450000000 6.391267480 0E-9 - 188 1 18.450000000 7.811549142 0E-9 - 189 1 17.220000000 8.521689973 0E-9 - 190 1 17.220000000 9.941971635 0E-9 - 191 1 15.990000000 10.652112467 0E-9 - 192 1 15.990000000 12.072394129 0E-9 - 193 1 14.760000000 12.782534960 0E-9 - 194 1 14.760000000 14.202816622 0E-9 - 195 1 13.530000000 14.912957453 0E-9 - 196 1 13.530000000 16.333239115 0E-9 - 197 1 12.300000000 17.043379946 0E-9 - 198 1 12.300000000 18.463661609 0E-9 - 199 1 11.070000000 19.173802440 0E-9 - 200 1 11.070000000 20.594084102 0E-9 diff --git a/tests/mff/lmp_tmp/in_lammps0000015efmp_q9 b/tests/mff/lmp_tmp/in_lammps0000015efmp_q9 deleted file mode 100644 index 9e74275e7..000000000 --- a/tests/mff/lmp_tmp/in_lammps0000015efmp_q9 +++ /dev/null @@ -1,24 +0,0 @@ -# (written by ASE) -clear -variable dump_file string "/n/scratchlfs/kozinsky_lab/xiey/flare/tests/test_mff/lmp_tmp/trj_lammps0000017br3s680" -variable data_file string "/n/scratchlfs/kozinsky_lab/xiey/flare/tests/test_mff/lmp_tmp/data_lammps000001xl3zw6gm" -units metal -boundary p p p -atom_modify sort 0 0.0 - -read_data /n/scratchlfs/kozinsky_lab/xiey/flare/tests/test_mff/lmp_tmp/data_lammps000001xl3zw6gm - -### interactions -pair_style airebo 3.0 -pair_coeff * * /n/home08/xiey/lammps-16Mar18/potentials/CH.airebo C -mass * 12.0107 - -### run -fix fix_nve all nve -dump dump_all all custom 1 /n/scratchlfs/kozinsky_lab/xiey/flare/tests/test_mff/lmp_tmp/trj_lammps0000017br3s680 id type x y z vx vy vz fx fy fz -thermo_style custom step temp press cpu pxx pyy pzz pxy pxz pyz ke pe etotal vol lx ly lz atoms -thermo_modify flush yes -thermo 1 -run 0 -print "__end_of_ase_invoked_calculation__" -log /dev/stdout diff --git a/tests/mff/lmp_tmp/in_lammps000001oe7ta5p1 b/tests/mff/lmp_tmp/in_lammps000001oe7ta5p1 deleted file mode 100644 index e17464a88..000000000 --- a/tests/mff/lmp_tmp/in_lammps000001oe7ta5p1 +++ /dev/null @@ -1,24 +0,0 @@ -# (written by ASE) -clear -variable dump_file string "/n/scratchlfs/kozinsky_lab/xiey/flare/tests/test_mff/lmp_tmp/trj_lammps000001lw_x8xy7" -variable data_file string "/n/scratchlfs/kozinsky_lab/xiey/flare/tests/test_mff/lmp_tmp/data_lammps000001qfpsb_19" -units metal -boundary p p p -atom_modify sort 0 0.0 - -read_data /n/scratchlfs/kozinsky_lab/xiey/flare/tests/test_mff/lmp_tmp/data_lammps000001qfpsb_19 - -### interactions -pair_style airebo 3.0 -pair_coeff * * /n/home08/xiey/lammps-16Mar18/potentials/CH.airebo C -mass * 12.0107 - -### run -fix fix_nve all nve -dump dump_all all custom 1 /n/scratchlfs/kozinsky_lab/xiey/flare/tests/test_mff/lmp_tmp/trj_lammps000001lw_x8xy7 id type x y z vx vy vz fx fy fz -thermo_style custom step temp press cpu pxx pyy pzz pxy pxz pyz ke pe etotal vol lx ly lz atoms -thermo_modify flush yes -thermo 1 -run 0 -print "__end_of_ase_invoked_calculation__" -log /dev/stdout diff --git a/tests/mff/lmp_tmp/log_lammps000001aiv_km58 b/tests/mff/lmp_tmp/log_lammps000001aiv_km58 deleted file mode 100644 index 46c317eda..000000000 --- a/tests/mff/lmp_tmp/log_lammps000001aiv_km58 +++ /dev/null @@ -1,72 +0,0 @@ -LAMMPS (16 Mar 2018) -# (written by ASE) -clear -variable dump_file string "/n/scratchlfs/kozinsky_lab/xiey/flare/tests/test_mff/lmp_tmp/trj_lammps000001lw_x8xy7" -variable data_file string "/n/scratchlfs/kozinsky_lab/xiey/flare/tests/test_mff/lmp_tmp/data_lammps000001qfpsb_19" -units metal -boundary p p p -atom_modify sort 0 0.0 - -read_data /n/scratchlfs/kozinsky_lab/xiey/flare/tests/test_mff/lmp_tmp/data_lammps000001qfpsb_19 - triclinic box = (0 0 0) to (25.5102 22.0925 20) with tilt (-12.7551 0 0) - 1 by 1 by 1 MPI processor grid - reading atoms ... - 200 atoms - -### interactions -pair_style airebo 3.0 -pair_coeff * * /n/home08/xiey/lammps-16Mar18/potentials/CH.airebo C -Reading potential file /n/home08/xiey/lammps-16Mar18/potentials/CH.airebo with DATE: 2011-10-25 -mass * 12.0107 - -### run -fix fix_nve all nve -dump dump_all all custom 1 /n/scratchlfs/kozinsky_lab/xiey/flare/tests/test_mff/lmp_tmp/trj_lammps000001lw_x8xy7 id type x y z vx vy vz fx fy fz -thermo_style custom step temp press cpu pxx pyy pzz pxy pxz pyz ke pe etotal vol lx ly lz atoms -thermo_modify flush yes -thermo 1 -run 0 -Neighbor list info ... - update every 1 steps, delay 10 steps, check yes - max neighbors/atom: 2000, page size: 100000 - master list distance cutoff = 12.2 - ghost atom cutoff = 12.2 - binsize = 6.1, bins = 7 4 4 - 1 neighbor lists, perpetual/occasional/extra = 1 0 0 - (1) pair airebo, perpetual - attributes: full, newton on, ghost - pair build: full/bin/ghost - stencil: full/ghost/bin/3d - bin: standard -Per MPI rank memory allocation (min/avg/max) = 5.143 | 5.143 | 5.143 Mbytes -Step Temp Press CPU Pxx Pyy Pzz Pxy Pxz Pyz KinEng PotEng TotEng Volume Lx Ly Lz Atoms - 0 0 -21290.577 0 -28563.479 -35308.252 0 -8025.883 0 0 0 -1382.0055 -1382.0055 11271.672 25.5102 22.092481 20 200 -Loop time of 1.017e-06 on 1 procs for 0 steps with 200 atoms - -196.7% CPU use with 1 MPI tasks x no OpenMP threads - -MPI task timing breakdown: -Section | min time | avg time | max time |%varavg| %total ---------------------------------------------------------------- -Pair | 0 | 0 | 0 | 0.0 | 0.00 -Neigh | 0 | 0 | 0 | 0.0 | 0.00 -Comm | 0 | 0 | 0 | 0.0 | 0.00 -Output | 0 | 0 | 0 | 0.0 | 0.00 -Modify | 0 | 0 | 0 | 0.0 | 0.00 -Other | | 1.017e-06 | | |100.00 - -Nlocal: 200 ave 200 max 200 min -Histogram: 1 0 0 0 0 0 0 0 0 0 -Nghost: 1606 ave 1606 max 1606 min -Histogram: 1 0 0 0 0 0 0 0 0 0 -Neighs: 0 ave 0 max 0 min -Histogram: 1 0 0 0 0 0 0 0 0 0 -FullNghs: 33380 ave 33380 max 33380 min -Histogram: 1 0 0 0 0 0 0 0 0 0 - -Total # of neighbors = 33380 -Ave neighs/atom = 166.9 -Neighbor list builds = 0 -Dangerous builds = 0 -print "__end_of_ase_invoked_calculation__" -__end_of_ase_invoked_calculation__ diff --git a/tests/mff/lmp_tmp/log_lammps000001c12sym5h b/tests/mff/lmp_tmp/log_lammps000001c12sym5h deleted file mode 100644 index 732a42063..000000000 --- a/tests/mff/lmp_tmp/log_lammps000001c12sym5h +++ /dev/null @@ -1,72 +0,0 @@ -LAMMPS (16 Mar 2018) -# (written by ASE) -clear -variable dump_file string "/n/scratchlfs/kozinsky_lab/xiey/flare/tests/test_mff/lmp_tmp/trj_lammps0000017br3s680" -variable data_file string "/n/scratchlfs/kozinsky_lab/xiey/flare/tests/test_mff/lmp_tmp/data_lammps000001xl3zw6gm" -units metal -boundary p p p -atom_modify sort 0 0.0 - -read_data /n/scratchlfs/kozinsky_lab/xiey/flare/tests/test_mff/lmp_tmp/data_lammps000001xl3zw6gm - triclinic box = (0 0 0) to (24.6 21.3042 20) with tilt (-12.3 0 0) - 1 by 1 by 1 MPI processor grid - reading atoms ... - 200 atoms - -### interactions -pair_style airebo 3.0 -pair_coeff * * /n/home08/xiey/lammps-16Mar18/potentials/CH.airebo C -Reading potential file /n/home08/xiey/lammps-16Mar18/potentials/CH.airebo with DATE: 2011-10-25 -mass * 12.0107 - -### run -fix fix_nve all nve -dump dump_all all custom 1 /n/scratchlfs/kozinsky_lab/xiey/flare/tests/test_mff/lmp_tmp/trj_lammps0000017br3s680 id type x y z vx vy vz fx fy fz -thermo_style custom step temp press cpu pxx pyy pzz pxy pxz pyz ke pe etotal vol lx ly lz atoms -thermo_modify flush yes -thermo 1 -run 0 -Neighbor list info ... - update every 1 steps, delay 10 steps, check yes - max neighbors/atom: 2000, page size: 100000 - master list distance cutoff = 12.2 - ghost atom cutoff = 12.2 - binsize = 6.1, bins = 7 4 4 - 1 neighbor lists, perpetual/occasional/extra = 1 0 0 - (1) pair airebo, perpetual - attributes: full, newton on, ghost - pair build: full/bin/ghost - stencil: full/ghost/bin/3d - bin: standard -Per MPI rank memory allocation (min/avg/max) = 5.147 | 5.147 | 5.147 Mbytes -Step Temp Press CPU Pxx Pyy Pzz Pxy Pxz Pyz KinEng PotEng TotEng Volume Lx Ly Lz Atoms - 0 0 -22032.475 0 -33048.713 -33048.713 0 -6.6009381e-05 0 0 0 -1481.6236 -1481.6236 10481.679 24.6 21.304225 20 200 -Loop time of 1.18092e-06 on 1 procs for 0 steps with 200 atoms - -169.4% CPU use with 1 MPI tasks x no OpenMP threads - -MPI task timing breakdown: -Section | min time | avg time | max time |%varavg| %total ---------------------------------------------------------------- -Pair | 0 | 0 | 0 | 0.0 | 0.00 -Neigh | 0 | 0 | 0 | 0.0 | 0.00 -Comm | 0 | 0 | 0 | 0.0 | 0.00 -Output | 0 | 0 | 0 | 0.0 | 0.00 -Modify | 0 | 0 | 0 | 0.0 | 0.00 -Other | | 1.181e-06 | | |100.00 - -Nlocal: 200 ave 200 max 200 min -Histogram: 1 0 0 0 0 0 0 0 0 0 -Nghost: 1650 ave 1650 max 1650 min -Histogram: 1 0 0 0 0 0 0 0 0 0 -Neighs: 0 ave 0 max 0 min -Histogram: 1 0 0 0 0 0 0 0 0 0 -FullNghs: 34800 ave 34800 max 34800 min -Histogram: 1 0 0 0 0 0 0 0 0 0 - -Total # of neighbors = 34800 -Ave neighs/atom = 174 -Neighbor list builds = 0 -Dangerous builds = 0 -print "__end_of_ase_invoked_calculation__" -__end_of_ase_invoked_calculation__ diff --git a/tests/mff/lmp_tmp/trj_lammps0000017br3s680 b/tests/mff/lmp_tmp/trj_lammps0000017br3s680 deleted file mode 100644 index 6a6d966cc..000000000 --- a/tests/mff/lmp_tmp/trj_lammps0000017br3s680 +++ /dev/null @@ -1,209 +0,0 @@ -ITEM: TIMESTEP -0 -ITEM: NUMBER OF ATOMS -200 -ITEM: BOX BOUNDS xy xz yz pp pp pp --1.2299999999000001e+01 2.4600000000000001e+01 -1.2299999999000001e+01 -0.0000000000000000e+00 2.1304224933000000e+01 0.0000000000000000e+00 -0.0000000000000000e+00 2.0000000000000000e+01 0.0000000000000000e+00 -ITEM: ATOMS id type x y z vx vy vz fx fy fz -1 1 0 0 0 0 0 0 -5.29824e-08 -4.42986e-09 0 -2 1 0 1.42028 0 0 0 0 -1.56697e-09 7.67218e-09 0 -3 1 23.37 2.13042 0 0 0 0 9.37715e-13 3.16705e-08 0 -4 1 -1.23 3.5507 0 0 0 0 3.40838e-14 -3.167e-08 0 -5 1 -2.46 4.26084 0 0 0 0 1.7808e-13 -7.67078e-09 0 -6 1 -2.46 5.68113 0 0 0 0 -1.84297e-14 4.43206e-09 0 -7 1 20.91 6.39127 0 0 0 0 -1.93623e-13 -4.42903e-09 0 -8 1 -3.69 7.81155 0 0 0 0 -1.75415e-13 4.42661e-09 0 -9 1 19.68 8.52169 0 0 0 0 4.06231e-13 -1.18894e-09 0 -10 1 -4.92 9.94197 0 0 0 0 -4.00568e-13 3.0481e-08 0 -11 1 18.45 10.6521 0 0 0 0 2.91767e-13 -3.04809e-08 0 -12 1 -6.15 12.0724 0 0 0 0 1.03251e-13 1.18865e-09 0 -13 1 17.22 12.7825 0 0 0 0 -3.33955e-13 -4.42644e-09 0 -14 1 -7.38 14.2028 0 0 0 0 -1.9984e-15 4.42898e-09 0 -15 1 15.99 14.913 0 0 0 0 2.62346e-13 -4.43213e-09 0 -16 1 -8.61 16.3332 0 0 0 0 -1.48326e-13 7.67068e-09 0 -17 1 14.76 17.0434 0 0 0 0 -5.67324e-14 3.167e-08 0 -18 1 -9.84 18.4637 0 0 0 0 -9.18599e-13 -3.16704e-08 0 -19 1 13.53 19.1738 0 0 0 0 1.567e-09 -7.6723e-09 0 -20 1 -11.07 20.5941 0 0 0 0 5.29824e-08 4.42986e-09 0 -21 1 2.46 0 0 0 0 0 -5.29824e-08 -4.42983e-09 0 -22 1 2.46 1.42028 0 0 0 0 -1.56701e-09 7.67221e-09 0 -23 1 1.23 2.13042 0 0 0 0 8.64336e-13 3.16706e-08 0 -24 1 1.23 3.5507 0 0 0 0 1.03211e-13 -3.16699e-08 0 -25 1 0 4.26084 0 0 0 0 -5.16687e-14 -7.67087e-09 0 -26 1 0 5.68113 0 0 0 0 -1.19848e-14 4.43206e-09 0 -27 1 -1.23 6.39127 0 0 0 0 9.99201e-16 -4.42893e-09 0 -28 1 -1.23 7.81155 0 0 0 0 -7.73513e-14 4.42657e-09 0 -29 1 -2.46 8.52169 0 0 0 0 1.14686e-13 -1.18895e-09 0 -30 1 -2.46 9.94197 0 0 0 0 -7.3639e-16 3.0481e-08 0 -31 1 -3.69 10.6521 0 0 0 0 9.93927e-14 -3.04808e-08 0 -32 1 -3.69 12.0724 0 0 0 0 -1.46824e-13 1.18873e-09 0 -33 1 -4.92 12.7825 0 0 0 0 1.42081e-13 -4.4265e-09 0 -34 1 -4.92 14.2028 0 0 0 0 -2.24465e-14 4.42891e-09 0 -35 1 -6.15 14.913 0 0 0 0 -5.29576e-14 -4.43207e-09 0 -36 1 -6.15 16.3332 0 0 0 0 -5.12494e-14 7.67076e-09 0 -37 1 -7.38 17.0434 0 0 0 0 1.1896e-13 3.167e-08 0 -38 1 -7.38 18.4637 0 0 0 0 -9.23699e-13 -3.16703e-08 0 -39 1 -8.61 19.1738 0 0 0 0 1.56691e-09 -7.67226e-09 0 -40 1 -8.61 20.5941 0 0 0 0 5.29824e-08 4.4299e-09 0 -41 1 4.92 0 0 0 0 0 -5.29824e-08 -4.42989e-09 0 -42 1 4.92 1.42028 0 0 0 0 -1.56703e-09 7.67209e-09 0 -43 1 3.69 2.13042 0 0 0 0 9.83012e-13 3.16706e-08 0 -44 1 3.69 3.5507 0 0 0 0 -4.32179e-15 -3.167e-08 0 -45 1 2.46 4.26084 0 0 0 0 -7.67966e-14 -7.67084e-09 0 -46 1 2.46 5.68113 0 0 0 0 3.13291e-14 4.432e-09 0 -47 1 1.23 6.39127 0 0 0 0 9.50325e-15 -4.42894e-09 0 -48 1 1.23 7.81155 0 0 0 0 -6.41632e-14 4.42655e-09 0 -49 1 0 8.52169 0 0 0 0 8.07123e-14 -1.18893e-09 0 -50 1 8.88178e-16 9.94197 0 0 0 0 -2.50277e-15 3.0481e-08 0 -51 1 -1.23 10.6521 0 0 0 0 -5.21805e-15 -3.04809e-08 0 -52 1 -1.23 12.0724 0 0 0 0 -1.09445e-13 1.18878e-09 0 -53 1 -2.46 12.7825 0 0 0 0 6.87644e-14 -4.42647e-09 0 -54 1 -2.46 14.2028 0 0 0 0 9.98442e-14 4.42905e-09 0 -55 1 -3.69 14.913 0 0 0 0 3.10949e-15 -4.4321e-09 0 -56 1 -3.69 16.3332 0 0 0 0 8.95035e-14 7.67073e-09 0 -57 1 -4.92 17.0434 0 0 0 0 3.99203e-14 3.167e-08 0 -58 1 -4.92 18.4637 0 0 0 0 -8.91522e-13 -3.16704e-08 0 -59 1 -6.15 19.1738 0 0 0 0 1.56694e-09 -7.67233e-09 0 -60 1 -6.15 20.5941 0 0 0 0 5.29824e-08 4.42986e-09 0 -61 1 7.38 0 0 0 0 0 -5.29824e-08 -4.42986e-09 0 -62 1 7.38 1.42028 0 0 0 0 -1.567e-09 7.67209e-09 0 -63 1 6.15 2.13042 0 0 0 0 8.83538e-13 3.16705e-08 0 -64 1 6.15 3.5507 0 0 0 0 7.8797e-14 -3.16699e-08 0 -65 1 4.92 4.26084 0 0 0 0 -1.16739e-13 -7.67079e-09 0 -66 1 4.92 5.68113 0 0 0 0 1.4856e-13 4.43201e-09 0 -67 1 3.69 6.39127 0 0 0 0 -1.08129e-13 -4.42896e-09 0 -68 1 3.69 7.81155 0 0 0 0 1.76942e-16 4.42656e-09 0 -69 1 2.46 8.52169 0 0 0 0 7.05892e-15 -1.18895e-09 0 -70 1 2.46 9.94197 0 0 0 0 -1.76643e-13 3.0481e-08 0 -71 1 1.23 10.6521 0 0 0 0 7.95812e-14 -3.04809e-08 0 -72 1 1.23 12.0724 0 0 0 0 -1.00367e-13 1.18866e-09 0 -73 1 0 12.7825 0 0 0 0 1.77858e-13 -4.42644e-09 0 -74 1 0 14.2028 0 0 0 0 -3.11374e-14 4.42895e-09 0 -75 1 -1.23 14.913 0 0 0 0 -2.98819e-14 -4.43212e-09 0 -76 1 -1.23 16.3332 0 0 0 0 1.43266e-13 7.67078e-09 0 -77 1 -2.46 17.0434 0 0 0 0 -1.36984e-13 3.16699e-08 0 -78 1 -2.46 18.4637 0 0 0 0 -9.45909e-13 -3.16705e-08 0 -79 1 -3.69 19.1738 0 0 0 0 1.5669e-09 -7.67225e-09 0 -80 1 -3.69 20.5941 0 0 0 0 5.29824e-08 4.42993e-09 0 -81 1 9.84 0 0 0 0 0 -5.29825e-08 -4.42985e-09 0 -82 1 9.84 1.42028 0 0 0 0 -1.56695e-09 7.67226e-09 0 -83 1 8.61 2.13042 0 0 0 0 1.08566e-12 3.16706e-08 0 -84 1 8.61 3.5507 0 0 0 0 1.56975e-13 -3.167e-08 0 -85 1 7.38 4.26084 0 0 0 0 -2.895e-13 -7.67081e-09 0 -86 1 7.38 5.68113 0 0 0 0 7.82032e-14 4.43201e-09 0 -87 1 6.15 6.39127 0 0 0 0 -7.9055e-15 -4.42885e-09 0 -88 1 6.15 7.81155 0 0 0 0 -1.17834e-13 4.42654e-09 0 -89 1 4.92 8.52169 0 0 0 0 6.98658e-14 -1.18895e-09 0 -90 1 4.92 9.94197 0 0 0 0 -3.75209e-14 3.04809e-08 0 -91 1 3.69 10.6521 0 0 0 0 8.41327e-14 -3.04808e-08 0 -92 1 3.69 12.0724 0 0 0 0 -1.3854e-13 1.18881e-09 0 -93 1 2.46 12.7825 0 0 0 0 1.19086e-13 -4.42639e-09 0 -94 1 2.46 14.2028 0 0 0 0 -8.9455e-14 4.42895e-09 0 -95 1 1.23 14.913 0 0 0 0 3.27156e-14 -4.4321e-09 0 -96 1 1.23 16.3332 0 0 0 0 -7.22736e-14 7.6707e-09 0 -97 1 0 17.0434 0 0 0 0 -1.84174e-14 3.167e-08 0 -98 1 0 18.4637 0 0 0 0 -1.09287e-12 -3.16704e-08 0 -99 1 -1.23 19.1738 0 0 0 0 1.56709e-09 -7.67214e-09 0 -100 1 -1.23 20.5941 0 0 0 0 5.29824e-08 4.42989e-09 0 -101 1 12.3 0 0 0 0 0 -5.29824e-08 -4.42988e-09 0 -102 1 12.3 1.42028 0 0 0 0 -1.5668e-09 7.67217e-09 0 -103 1 11.07 2.13042 0 0 0 0 9.33917e-13 3.16705e-08 0 -104 1 11.07 3.5507 0 0 0 0 1.38383e-14 -3.167e-08 0 -105 1 9.84 4.26084 0 0 0 0 -2.22399e-14 -7.67088e-09 0 -106 1 9.84 5.68113 0 0 0 0 1.89747e-14 4.43211e-09 0 -107 1 8.61 6.39127 0 0 0 0 -6.74115e-14 -4.42895e-09 0 -108 1 8.61 7.81155 0 0 0 0 1.15944e-13 4.42657e-09 0 -109 1 7.38 8.52169 0 0 0 0 -9.4312e-14 -1.18891e-09 0 -110 1 7.38 9.94197 0 0 0 0 -1.17294e-13 3.0481e-08 0 -111 1 6.15 10.6521 0 0 0 0 1.84526e-13 -3.04808e-08 0 -112 1 6.15 12.0724 0 0 0 0 -1.36849e-13 1.18877e-09 0 -113 1 4.92 12.7825 0 0 0 0 5.76485e-14 -4.42647e-09 0 -114 1 4.92 14.2028 0 0 0 0 1.6617e-13 4.42899e-09 0 -115 1 3.69 14.913 0 0 0 0 -1.4202e-14 -4.43216e-09 0 -116 1 3.69 16.3332 0 0 0 0 -5.97573e-14 7.67065e-09 0 -117 1 2.46 17.0434 0 0 0 0 1.67463e-13 3.167e-08 0 -118 1 2.46 18.4637 0 0 0 0 -9.31193e-13 -3.16704e-08 0 -119 1 1.23 19.1738 0 0 0 0 1.56711e-09 -7.67224e-09 0 -120 1 1.23 20.5941 0 0 0 0 5.29824e-08 4.42986e-09 0 -121 1 14.76 0 0 0 0 0 -5.29825e-08 -4.42983e-09 0 -122 1 14.76 1.42028 0 0 0 0 -1.56672e-09 7.6721e-09 0 -123 1 13.53 2.13042 0 0 0 0 6.76215e-13 3.16706e-08 0 -124 1 13.53 3.5507 0 0 0 0 1.22385e-14 -3.16701e-08 0 -125 1 12.3 4.26084 0 0 0 0 -1.70851e-13 -7.67082e-09 0 -126 1 12.3 5.68113 0 0 0 0 -1.4895e-13 4.43202e-09 0 -127 1 11.07 6.39127 0 0 0 0 -1.63249e-13 -4.42902e-09 0 -128 1 11.07 7.81155 0 0 0 0 6.78614e-14 4.42648e-09 0 -129 1 9.84 8.52169 0 0 0 0 -2.82967e-14 -1.18889e-09 0 -130 1 9.84 9.94197 0 0 0 0 -2.16489e-13 3.0481e-08 0 -131 1 8.61 10.6521 0 0 0 0 1.84266e-13 -3.04809e-08 0 -132 1 8.61 12.0724 0 0 0 0 -1.08209e-13 1.18878e-09 0 -133 1 7.38 12.7825 0 0 0 0 5.31461e-14 -4.42643e-09 0 -134 1 7.38 14.2028 0 0 0 0 2.13843e-13 4.4289e-09 0 -135 1 6.15 14.913 0 0 0 0 -1.58426e-13 -4.43204e-09 0 -136 1 6.15 16.3332 0 0 0 0 1.19909e-13 7.6707e-09 0 -137 1 4.92 17.0434 0 0 0 0 -1.24321e-14 3.16701e-08 0 -138 1 4.92 18.4637 0 0 0 0 -7.7512e-13 -3.16704e-08 0 -139 1 3.69 19.1738 0 0 0 0 1.56669e-09 -7.67227e-09 0 -140 1 3.69 20.5941 0 0 0 0 5.29825e-08 4.42989e-09 0 -141 1 17.22 0 0 0 0 0 -5.29823e-08 -4.42991e-09 0 -142 1 17.22 1.42028 0 0 0 0 -1.56675e-09 7.67212e-09 0 -143 1 15.99 2.13042 0 0 0 0 6.0549e-13 3.16706e-08 0 -144 1 15.99 3.5507 0 0 0 0 -1.07392e-13 -3.167e-08 0 -145 1 14.76 4.26084 0 0 0 0 7.67577e-14 -7.67081e-09 0 -146 1 14.76 5.68113 0 0 0 0 3.86807e-13 4.43209e-09 0 -147 1 13.53 6.39127 0 0 0 0 1.0112e-13 -4.42881e-09 0 -148 1 13.53 7.81155 0 0 0 0 -4.33755e-13 4.42658e-09 0 -149 1 12.3 8.52169 0 0 0 0 7.3639e-14 -1.189e-09 0 -150 1 12.3 9.94197 0 0 0 0 8.79999e-14 3.04809e-08 0 -151 1 11.07 10.6521 0 0 0 0 8.35172e-14 -3.04808e-08 0 -152 1 11.07 12.0724 0 0 0 0 -2.13066e-13 1.18879e-09 0 -153 1 9.84 12.7825 0 0 0 0 2.26981e-13 -4.42654e-09 0 -154 1 9.84 14.2028 0 0 0 0 -2.36719e-13 4.42889e-09 0 -155 1 8.61 14.913 0 0 0 0 -2.99736e-15 -4.43213e-09 0 -156 1 8.61 16.3332 0 0 0 0 -7.48696e-14 7.67073e-09 0 -157 1 7.38 17.0434 0 0 0 0 2.56753e-14 3.16699e-08 0 -158 1 7.38 18.4637 0 0 0 0 -8.76567e-13 -3.16704e-08 0 -159 1 6.15 19.1738 0 0 0 0 1.56679e-09 -7.67221e-09 0 -160 1 6.15 20.5941 0 0 0 0 5.29824e-08 4.42992e-09 0 -161 1 19.68 0 0 0 0 0 -5.29824e-08 -4.42988e-09 0 -162 1 19.68 1.42028 0 0 0 0 -1.56693e-09 7.67231e-09 0 -163 1 18.45 2.13042 0 0 0 0 9.25633e-13 3.16704e-08 0 -164 1 18.45 3.5507 0 0 0 0 -3.21586e-13 -3.16699e-08 0 -165 1 17.22 4.26084 0 0 0 0 2.46156e-13 -7.67086e-09 0 -166 1 17.22 5.68113 0 0 0 0 9.11684e-14 4.43198e-09 0 -167 1 15.99 6.39127 0 0 0 0 -2.60987e-13 -4.42896e-09 0 -168 1 15.99 7.81155 0 0 0 0 -2.73388e-13 4.42661e-09 0 -169 1 14.76 8.52169 0 0 0 0 4.09225e-13 -1.18886e-09 0 -170 1 14.76 9.94197 0 0 0 0 1.08056e-14 3.04811e-08 0 -171 1 13.53 10.6521 0 0 0 0 1.83754e-13 -3.04809e-08 0 -172 1 13.53 12.0724 0 0 0 0 -8.12198e-15 1.1888e-09 0 -173 1 12.3 12.7825 0 0 0 0 9.12931e-15 -4.42643e-09 0 -174 1 12.3 14.2028 0 0 0 0 8.968e-14 4.42896e-09 0 -175 1 11.07 14.913 0 0 0 0 2.62643e-13 -4.43207e-09 0 -176 1 11.07 16.3332 0 0 0 0 -1.95145e-13 7.67063e-09 0 -177 1 9.84 17.0434 0 0 0 0 1.44706e-13 3.167e-08 0 -178 1 9.84 18.4637 0 0 0 0 -8.80476e-13 -3.16704e-08 0 -179 1 8.61 19.1738 0 0 0 0 1.56681e-09 -7.67224e-09 0 -180 1 8.61 20.5941 0 0 0 0 5.29826e-08 4.42999e-09 0 -181 1 22.14 0 0 0 0 0 -5.29824e-08 -4.42998e-09 0 -182 1 22.14 1.42028 0 0 0 0 -1.56695e-09 7.67222e-09 0 -183 1 20.91 2.13042 0 0 0 0 9.95982e-13 3.16704e-08 0 -184 1 20.91 3.5507 0 0 0 0 -2.69608e-13 -3.167e-08 0 -185 1 19.68 4.26084 0 0 0 0 1.33114e-13 -7.67074e-09 0 -186 1 19.68 5.68113 0 0 0 0 3.54661e-13 4.43205e-09 0 -187 1 18.45 6.39127 0 0 0 0 -2.9499e-15 -4.42897e-09 0 -188 1 18.45 7.81155 0 0 0 0 -5.76705e-13 4.42662e-09 0 -189 1 17.22 8.52169 0 0 0 0 3.28817e-13 -1.18902e-09 0 -190 1 17.22 9.94197 0 0 0 0 7.04992e-14 3.04809e-08 0 -191 1 15.99 10.6521 0 0 0 0 -2.0207e-13 -3.04809e-08 0 -192 1 15.99 12.0724 0 0 0 0 2.10387e-14 1.18879e-09 0 -193 1 14.76 12.7825 0 0 0 0 1.12505e-14 -4.42646e-09 0 -194 1 14.76 14.2028 0 0 0 0 -1.36724e-13 4.42896e-09 0 -195 1 13.53 14.913 0 0 0 0 -8.10723e-15 -4.43217e-09 0 -196 1 13.53 16.3332 0 0 0 0 3.18079e-14 7.67078e-09 0 -197 1 12.3 17.0434 0 0 0 0 1.63247e-13 3.167e-08 0 -198 1 12.3 18.4637 0 0 0 0 -8.77631e-13 -3.16704e-08 0 -199 1 11.07 19.1738 0 0 0 0 1.56685e-09 -7.67228e-09 0 -200 1 11.07 20.5941 0 0 0 0 5.29823e-08 4.42993e-09 0 diff --git a/tests/mff/lmp_tmp/trj_lammps000001lw_x8xy7 b/tests/mff/lmp_tmp/trj_lammps000001lw_x8xy7 deleted file mode 100644 index 5f6a09f5d..000000000 --- a/tests/mff/lmp_tmp/trj_lammps000001lw_x8xy7 +++ /dev/null @@ -1,209 +0,0 @@ -ITEM: TIMESTEP -0 -ITEM: NUMBER OF ATOMS -200 -ITEM: BOX BOUNDS xy xz yz pp pp pp --1.2755099999000000e+01 2.5510200000000001e+01 -1.2755099999000000e+01 -0.0000000000000000e+00 2.2092481254999999e+01 0.0000000000000000e+00 -0.0000000000000000e+00 2.0000000000000000e+01 0.0000000000000000e+00 -ITEM: ATOMS id type x y z vx vy vz fx fy fz -1 1 0 0 0 0 0 0 0.0211984 2.88286 0 -2 1 -1.11022e-16 1.42028 0 0 0 0 0.146984 -3.14368 0 -3 1 24.2802 2.13042 0 0 0 0 1.79127 1.02469 0 -4 1 -1.23 3.5507 0 0 0 0 -0.889101 -0.523683 0 -5 1 -2.46 4.26084 0 0 0 0 1.78839 1.01237 0 -6 1 -2.46 5.68113 0 0 0 0 -0.889156 -0.52598 0 -7 1 21.8202 6.39127 0 0 0 0 1.78831 1.01096 0 -8 1 -3.69 7.81155 0 0 0 0 -0.889175 -0.526342 0 -9 1 20.5902 8.52169 0 0 0 0 1.7883 1.01077 0 -10 1 -4.92 9.94197 0 0 0 0 -0.889178 -0.526414 0 -11 1 19.3602 10.6521 0 0 0 0 1.7883 1.01074 0 -12 1 -6.15 12.0724 0 0 0 0 -0.889178 -0.52645 0 -13 1 18.1302 12.7825 0 0 0 0 1.7883 1.01066 0 -14 1 -7.38 14.2028 0 0 0 0 -0.889178 -0.526662 0 -15 1 16.9002 14.913 0 0 0 0 1.78829 1.01027 0 -16 1 -8.61 16.3332 0 0 0 0 -0.889192 -0.528222 0 -17 1 15.6702 17.0434 0 0 0 0 1.78822 1.00758 0 -18 1 -9.84 18.4637 0 0 0 0 -0.890177 -0.529111 0 -19 1 14.4402 19.1738 0 0 0 0 1.51896 3.03182 0 -20 1 -11.07 20.5941 0 0 0 0 2.18215 2.44976 0 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-sys.path.append('../..') -import time - -from flare import struc, gp, env, mc_simple -from flare.mff.mff_mc import MappedForceField -import matplotlib.pyplot as plt - -# ------------- load lj -t0 = time.time() -lj_species = np.load('lj_species.npy') -lj_pos = np.load('lj_pos.npy') -lj_forces = np.load('lj_forces.npy') - -# set cell -cell = np.eye(3) * 8.092 - -# ------------- create training structures -# train_snaps = [100, 200, 300, 400] -train_snaps = [100] -train_strucs = [] -train_forces = [] -for snap in train_snaps: - train_strucs.append(struc.Structure(cell, lj_species[snap], lj_pos[snap])) - train_forces.append(lj_forces[snap]) - -# ------------- create test structures -test_snaps = [900] #, 600, 700, 800, 900] -test_strucs = [] -test_forces = [] -for snap in test_snaps: - test_strucs.append(struc.Structure(cell, lj_species[snap], lj_pos[snap])) - test_forces.append(lj_forces[snap]) -print('data ready:', time.time() - t0) - -# ------------- initialize gp model -t0 = time.time() -kernel = mc_simple.two_plus_three_body_mc -kernel_grad = mc_simple.two_plus_three_body_mc_grad -energy_force_kernel = mc_simple.two_plus_three_mc_force_en -hyps = np.array([0.5, 1, 0.001, 1, 0.1]) -#kernel = mc_simple.three_body_mc -#kernel_grad = mc_simple.three_body_mc_grad -#energy_force_kernel = mc_simple.three_body_mc_force_en -#hyps = np.array([1, 1, 1]) -cutoffs = np.array([3.5, 3.5]) -opt_algorithm = 'BFGS' -maxiter = 1000 - -gp_model = gp.GaussianProcess(kernel, kernel_grad, hyps, cutoffs, - energy_force_kernel=energy_force_kernel, - opt_algorithm=opt_algorithm, - maxiter=maxiter) - -# --------------- train gp model -for struc_curr, forces in zip(train_strucs, train_forces): - gp_model.update_db(struc_curr, forces) - -gp_model.set_L_alpha() -#gp_model.train(False) #True) -print('gp built:', time.time() - t0) - -# --------------- set mff params -t0 = time.time() -unit = 0.00010364269933008285 -struc_params = {'species': [0, 1], - 'cube_lat': cell, - 'mass_dict': {'0': 27 * unit, '1': 16 * unit}} - -grid_params = {'bounds_2': [[1.2], [3.5]], - 'bounds_3': [[1.2, 1.2, 0], [3.5, 3.5, np.pi]], - 'grid_num_2': 8, - 'grid_num_3': [8, 8, 8], - 'svd_rank': 8, - 'bodies': [2, 3], - 'load_grid': None, - 'load_svd': None} - -mff_model = MappedForceField(gp_model, grid_params, struc_params) -print('mff model built:', time.time() - t0) - -# --------------- test gp model and mff model -store_predictions = [] -store_mffpred = [] -store_forces = [] -var_err = 0 -for n, snap in enumerate(test_snaps): - structure = test_strucs[n] - forces = test_forces[n] - noa = len(structure.positions) - - predictions = np.zeros([noa, 3]) - variances = np.zeros([noa, 3]) - mff_pred = np.zeros([noa, 3]) - mff_var = np.zeros([noa, 3]) - -# for atom in range(noa): -# env_curr = env.AtomicEnvironment(structure, atom, cutoffs) -# -# for m in range(3): -# d = m+1 -# comp_pred, comp_var = gp_model.predict(env_curr, d) -# predictions[atom, m] = comp_pred -# variances[atom, m] = comp_var -# -# mff_f, mff_v = mff_model.predict(env_curr, mean_only=False) -# mff_pred[atom, :] = mff_f -# mff_var[atom, :] = mff_v -# var_err += np.mean(np.absolute(mff_v-variances[atom, :])) -## print(env_curr.ctype, mff_v, variances[atom]) - - store_predictions.append(predictions) - store_mffpred.append(mff_pred) - store_forces.append(forces) - - # test a toy case for testing lammps - positions = np.array([[0,0,0], [0,0,1.76339], [0,1.41071,0]]) - species_list = ['H', 'C', 'H'] - new_cell = np.eye(3) * 20 - toy_struc = struc.Structure(new_cell, species_list, positions) - for atom in range(3): - atom_env = env.AtomicEnvironment(toy_struc, atom, cutoffs) - pred_f, pred_v = mff_model.predict(atom_env, mean_only=True) - print(pred_f) - -# ----------------- save coeffs --------------------- -if 2 in grid_params['bodies']: - for ind, spc in enumerate(mff_model.spcs[0]): - save_name = '{}{}_{}'.format(spc[0],spc[1],2) - np.save(save_name, mff_model.maps_2[ind].mean.model.__coeffs__) - -if 3 in grid_params['bodies']: - for ind, spc in enumerate(mff_model.spcs[1]): - save_name = '{}{}{}_{}'.format(spc[0],spc[1],spc[2],3) - np.save(save_name, mff_model.maps_3[ind].mean.model.__coeffs__) - -# ----------------- save predictions and ground truth -store_predictions = np.array(store_predictions).reshape(-1) -store_mffpred = np.array(store_mffpred).reshape(-1) -store_forces = np.array(store_forces).reshape(-1) -np.save('store_predictions', store_predictions) -np.save('store_forces', store_forces) - -# ----------------- get prediction err -gp_err = np.mean(np.absolute(store_predictions-store_forces)) -mff_err = np.mean(np.absolute(store_mffpred-store_forces)) -mff_gp = np.mean(np.absolute(store_mffpred-store_predictions)) -var_err /= noa * len(test_snaps) -print('gp err:', gp_err) -print('mff err:', mff_err) -print('mff - gp:', mff_gp) -print('var err:', var_err) - -## ----------------- reconstruct lj profiles -#cell = np.eye(3) * 10 -#species_list = np.array([[0, 0], [0, 1], [1, 1]], dtype=np.int8) -#seps = np.linspace(0.5, 4, 1000) -#cutoffs = np.array([3.5]) -#preds = np.zeros((3, seps.shape[0])) -#variances = np.zeros((3, seps.shape[0])) -# -#for n, sep in enumerate(seps): -# positions = np.array([[0, 0, 0], [sep, 0, 0]]) -# -# for m, species in enumerate(species_list): -# struc_curr = struc.Structure(cell, species, positions) -# struc_curr.coded_species = species -# struc_curr.nos = 2 -# env_curr = env.AtomicEnvironment(struc_curr, 0, cutoffs) -# pred_curr = gp_model.predict(env_curr, 1) -# preds[m, n] = pred_curr[0] -# variances[m, n] = pred_curr[1] -# -## save reconstructed lj profiles -#np.save('lj_seps', seps) -#np.save('lj_preds', preds) -#np.save('lj_vars', variances) diff --git a/tests/test_lammps/write_coefs.py b/tests/test_lammps/write_coefs.py deleted file mode 100644 index 56041a8b7..000000000 --- a/tests/test_lammps/write_coefs.py +++ /dev/null @@ -1,74 +0,0 @@ -import numpy as np - -# write header -f = open('CH23.txt', 'w') - -header_comment = '''# #2bodyarray #3bodyarray -# elem1 elem2 a b order -''' -f.write(header_comment) - -twobodyarray = 3 -threebodyarray = 8 -header = '\n{} {}\n'.format(twobodyarray, threebodyarray) -f.write(header) - -# species decoder: 1->C, 0->H -spc_decoder = lambda x: 'C' if x else 'H' - -# write two body -coeffs_2 = ['00', '01', '11'] -for i in range(twobodyarray): - label_2 = coeffs_2[i] - coefs_2 = np.load(label_2 + '_2.npy') - - a = 1.2 - b = 3.5 - order = 8 - elem1 = spc_decoder(int(label_2[0])) - elem2 = spc_decoder(int(label_2[1])) - header_2 = '''{elem1} {elem2} {a} {b} {order} -'''.format(elem1=elem1, elem2=elem2, a=a, b=b, order=order) - f.write(header_2) - - for c, coef in enumerate(coefs_2): - f.write('{:.10e} '.format(coef)) - if c % 5 == 4 and c != len(coefs_2)-1: - f.write('\n') - - f.write('\n') - -# write three body -coeffs_3 = ['000','001','010','011','100','101','110','111'] -for i in range(threebodyarray): - label_3 = coeffs_3[i] - coefs_3 = np.load(label_3 + '_3.npy') - - a = [1.2, 1.2, 0.0] - b = [3.5, 3.5, np.pi] - order = [8, 8, 8] - elem1 = spc_decoder(int(label_3[0])) - elem2 = spc_decoder(int(label_3[1])) - elem3 = spc_decoder(int(label_3[2])) - - header_3 = '''{elem1} {elem2} {elem3} {a1} {a2} {a3} {b1} {b2} {b3:.10e} {order1} {order2} {order3} -'''.format(elem1=elem1, elem2=elem2, elem3=elem3, - a1=a[0], a2=a[1], a3=a[2], - b1=b[0], b2=b[1], b3=b[2], - order1=order[0], order2=order[1], order3=order[2]) - f.write(header_3) - - n = 0 - for i in range(coefs_3.shape[0]): - for j in range(coefs_3.shape[1]): - for k in range(coefs_3.shape[2]): - coef = coefs_3[i, j, k] - f.write('{:.10e} '.format(coef)) - if n % 5 == 4: - f.write('\n') - n += 1 - -f.close() - - -

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