Open GUANGZChen opened 1 year ago
It looks like your calculation did not finish. Was it killed by the queuing system?
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Hi, After rewriting the inputs, I set up the MPI gap_fit run. However, it was stopped and here is the output messages. Could some help out with this? Thank you so much in advance.
libAtoms::Hello World: 2023-07-05 15:24:01 libAtoms::Hello World: git version https://github.com/libAtoms/QUIP.git,v0.9.14-dirty libAtoms::Hello World: QUIP_ARCH linux_x86_64_gfortran_openmpi+openmp libAtoms::Hello World: compiled on Jul 5 2023 at 06:44:18 libAtoms::Hello World: MPI parallelisation with 48 processes libAtoms::Hello World: OpenMP parallelisation with 1 threads WARNING: libAtoms::Hello World: environment variable OMP_STACKSIZE not set explicitly. The default value - system and compiler dependent - may be too small for some applications. libAtoms::Hello World: MPI run with the same seed on each process libAtoms::Hello World: Random Seed = -1633787871 libAtoms::Hello World: global verbosity = 0
Calls to system_timer will do nothing by default
MPI hostnames :: arc-c009 MPI host refs :: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPI my_host : 0 MPI hostname : arc-c009
================================ Input parameters ==============================
config_file = atoms_filename = //MANDATORY// at_file = CN_train_dataset.xyz gap = "distance_2b n_sparse=15 theta_uniform=1.0 sparse_method=FILE sparse_file=1.input covariance_type=ard_se cutoff=4.5 delta=2.0 add_species=F:distance_2b n_sparse=15 theta_uniform=1.0 sparse_method=FILE sparse_file=2.input covariance_type=ard_se cutoff=4.5 delta=2.0 add_species=F:distance_2b n_sparse=15 theta_uniform=1.0 sparse_method=FILE sparse_file=3.input covariance_type=ard_se cutoff=4.5 delta=2.0 add_species=F:angle_3b n_sparse=200 theta_uniform=1.0 sparse_method=FILE sparse_file=4.input covariance_type=ard_se cutoff=2.5 delta=0.05 add_species=F:angle_3b n_sparse=0 theta_uniform=1.0 sparse_method=FILE sparse_file=5.input covariance_type=ard_se cutoff=2.5 delta=0.05 add_species=F:angle_3b n_sparse=0 theta_uniform=1.0 sparse_method=FILE sparse_file=6.input covariance_type=ard_se cutoff=2.5 delta=0.05 add_species=F:angle_3b n_sparse=0 theta_uniform=1.0 sparse_method=FILE sparse_file=7.input covariance_type=ard_se cutoff=2.5 delta=0.05 add_species=F:angle_3b n_sparse=0 theta_uniform=1.0 sparse_method=FILE sparse_file=8.input covariance_type=ard_se cutoff=2.5 delta=0.05 add_species=F:angle_3b n_sparse=0 theta_uniform=1.0 sparse_method=FILE sparse_file=9.input covariance_type=ard_se cutoff=2.5 delta=0.05 add_species=F:soap n_max=12 l_max=4 atom_sigma=0.5 zeta=4.0 cutoff=4.5 cutoff_transition_width=1.0 central_weight=1.0 n_sparse=45 delta=0.2 covariance_type=dot_product sparse_method=FILE sparse_file=10.input radial_decay=-0.5 add_species=F soap_exponent=1:soap n_max=12 l_max=4 atom_sigma=0.5 zeta=4.0 cutoff=4.5 cutoff_transition_width=1.0 central_weight=1.0 n_sparse=45 delta=0.2 covariance_type=dot_product sparse_method=FILE sparse_file=11.input radial_decay=-0.5 add_species=F soap_exponent=1" e0 = C:-148.6822264562:N:-271.4749770587 local_property0 = 0.0 e0_offset = 0.0 e0_method = isolated default_kernel_regularisation = //MANDATORY// default_sigma = "0.001 0.01 0.05 0.0" default_kernel_regularisation_local_property = 0.001 default_local_property_sigma = 0.001 sparse_jitter = 1.0e-8 hessian_displacement = 1.0e-2 hessian_delta = 1.0e-2 baseline_param_filename = quip_params.xml core_param_file = quip_params.xml baseline_ip_args = core_ip_args = energy_parameter_name = energy local_property_parameter_name = local_property force_parameter_name = force virial_parameter_name = virial stress_parameter_name = stress hessian_parameter_name = hessian config_type_parameter_name = config_type kernel_regularisation_parameter_name = sigma sigma_parameter_name = sigma force_mask_parameter_name = force_mask local_property_mask_parameter_name = local_property_mask parameter_name_prefix = config_type_kernel_regularisation = config_type_sigma = Liquid:0.050:0.5:0.5:0.0:Liquid_Interface:0.050:0.5:0.5:0.0:Amorphous_Bulk:0.005:0.2:0.2:0.0:Amorphous_Surfaces:0.005:0.2:0.2:0.0:Surfaces:0.002:0.1:0.2:0.0:Dimer:0.002:0.1:0.2:0.0:Fullerenes:0.002:0.1:0.2:0.0:Defects:0.001:0.01:0.05:0.0:Crystalline_Bulk:0.001:0.01:0.05:0.0:Nanotubes:0.001:0.01:0.05:0.0:Graphite:0.001:0.01:0.05:0.0:Diamond:0.001:0.01:0.05:0.0:Graphene:0.001:0.01:0.05:0.0:Graphite_Layer_Sep:0.001:0.01:0.05:0.0:Single_Atom:0.0001:0.001:0.05:0.0 kernel_regularisation_is_per_atom = T sigma_per_atom = T do_copy_atoms_file = T do_copy_at_file = F sparse_separate_file = T sparse_use_actual_gpcov = F gap_file = gap_new.xml gp_file = gap.xml verbosity = NORMAL rnd_seed = -1 openmp_chunk_size = 10000 do_ip_timing = F template_file = template.xyz sparsify_only_no_fit = F dryrun = F condition_number_norm = linear_system_dump_file = mpi_blocksize_rows = 0 mpi_blocksize_cols = 100 mpi_print_all = F export_covariance = F
======================================== ======================================
============== Gaussian Approximation Potentials - Database fitting ============
MPI_ABORT was invoked on rank 47 in communicator MPI_COMM_WORLD with errorcode 1.
In the latest version we don't require this two-step fitting. can I close this?
Hi GAP developers, I am currently trying MPI gap fitting on an HPC system. I successfully finished the installation part.
For using part, I followed the instruction as follows,
I simply add sparsify_only_no_fit=T at the end of my original code which is attached below.
gap_fit at_file=CN_train_dataset.xyz e0={C:-148.6822264562:N:-271.4749770587} gap={distance_2b n_sparse=15 theta_uniform=1.0 sparse_method=uniform covariance_type=ard_se cutoff=4.5 delta=2.0:angle_3b n_sparse=200 theta_uniform=1.0 sparse_method=uniform covariance_type=ard_se cutoff=2.5 delta=0.05:soap n_max=12 l_max=4 atom_sigma=0.5 zeta=4.0 cutoff=4.5 cutoff_transition_width=1.0 central_weight=1.0 n_sparse=10000 delta=0.2 covariance_type=dot_product sparse_method=cur_points radial_decay=-0.5} default_sigma={0.001 0.01 0.05 0.0} config_type_sigma={Liquid:0.050:0.5:0.5:0.0:Liquid_Interface:0.050:0.5:0.5:0.0:Amorphous_Bulk:0.005:0.2:0.2:0.0:Amorphous_Surfaces:0.005:0.2:0.2:0.0:Surfaces:0.002:0.1:0.2:0.0:Dimer:0.002:0.1:0. :0.0:Fullerenes:0.002:0.1:0.2:0.0:Defects:0.001:0.01:0.05:0.0:Crystalline_Bulk:0.001:0.01:0.05:0.0:Nanotubes:0.001:0.01:0.05:0.0:Graphite:0.001:0.01:0.05:0.0:Diamond:0.001:0.01:0.05:0.0:Graphene:0.001:0.01:0.05:0.0:Graphite_Layer_Sep:0.001:0.01:0.05:0.0:Single_Atom:0.0001:0.001:0.05:0.0} energy_parameter_name=energy force_parameter_name=force sparse_jitter=1.0e-8 do_copy_at_file=F openmp_chunk_size=10000 gp_file=gap.xml sparsify_only_no_fit=T| tee out
Also, the output of this code is as follows: libAtoms::Hello World: 2023-06-29 00:41:14 libAtoms::Hello World: git version https://github.com/libAtoms/QUIP,v0.9.12-dirty libAtoms::Hello World: QUIP_ARCH linux_x86_64_gfortran_openmp libAtoms::Hello World: compiled on Jan 15 2023 at 16:26:45 libAtoms::Hello World: OpenMP parallelisation with 1 threads WARNING: libAtoms::Hello World: environment variable OMP_STACKSIZE not set explicitly. The default value - system and compiler dependent - may be too small for some applications. libAtoms::Hello World: Random Seed = 2474568 libAtoms::Hello World: global verbosity = 0
Calls to system_timer will do nothing by default
================================ Input parameters ==============================
config_file = atoms_filename = //MANDATORY// at_file = CN_train_dataset.xyz gap = "distance_2b n_sparse=15 theta_uniform=1.0 sparse_method=uniform covariance_type=ard_se cutoff=4.5 delta=2.0:angle_3b n_sparse=200 theta_uniform=1.0 sparse_method=uniform covariance_type=ard_se cutoff=2.5 delta=0.05:soap n_max=12 l_max=4 atom_sigma=0.5 zeta=4.0 cutoff=4.5 cutoff_transition_width=1.0 central_weight=1.0 n_sparse=10000 delta=0.2 covariance_type=dot_product sparse_method=cur_points radial_decay=-0.5" e0 = C:-148.6822264562:N:-271.4749770587 local_property0 = 0.0 e0_offset = 0.0 e0_method = isolated default_kernel_regularisation = //MANDATORY// default_sigma = "0.001 0.01 0.05 0.0" default_kernel_regularisation_local_property = 0.001 default_local_property_sigma = 0.001 sparse_jitter = 1.0e-8 hessian_displacement = 1.0e-2 hessian_delta = 1.0e-2 baseline_param_filename = quip_params.xml core_param_file = quip_params.xml baseline_ip_args = core_ip_args = energy_parameter_name = energy local_property_parameter_name = local_property force_parameter_name = force virial_parameter_name = virial stress_parameter_name = stress hessian_parameter_name = hessian config_type_parameter_name = config_type kernel_regularisation_parameter_name = sigma sigma_parameter_name = sigma force_mask_parameter_name = force_mask parameter_name_prefix = config_type_kernel_regularisation = config_type_sigma = Liquid:0.050:0.5:0.5:0.0:Liquid_Interface:0.050:0.5:0.5:0.0:Amorphous_Bulk:0.005:0.2:0.2:0.0:Amorphous_Surfaces:0.005:0.2:0.2:0.0:Surfaces:0.002:0.1:0.2:0.0:Dimer:0.002:0.1:0.2:0.0:Fullerenes:0.002:0.1:0.2:0.0:Defects:0.001:0.01:0.05:0.0:Crystalline_Bulk:0.001:0.01:0.05:0.0:Nanotubes:0.001:0.01:0.05:0.0:Graphite:0.001:0.01:0.05:0.0:Diamond:0.001:0.01:0.05:0.0:Graphene:0.001:0.01:0.05:0.0:Graphite_Layer_Sep:0.001:0.01:0.05:0.0:Single_Atom:0.0001:0.001:0.05:0.0 kernel_regularisation_is_per_atom = T sigma_per_atom = T do_copy_atoms_file = T do_copy_at_file = F sparse_separate_file = T sparse_use_actual_gpcov = F gap_file = gap_new.xml gp_file = gap.xml verbosity = NORMAL rnd_seed = -1 openmp_chunk_size = 10000 do_ip_timing = F template_file = template.xyz sparsify_only_no_fit = T dryrun = F condition_number_norm = linear_system_dump_file = mpi_blocksize_rows = 0 mpi_blocksize_cols = 100 mpi_print_all = F
======================================== ======================================
WARNING: sparsify_only_no_fit == T: force, virial, hessian, stress parameters are ignored.
============== Gaussian Approximation Potentials - Database fitting ============
Initial parsing of command line arguments finished. Found 3 GAPs. Descriptors have been parsed XYZ file read Old GAP: {distance_2b n_sparse=15 theta_uniform=1.0 sparse_method=uniform covariance_type=ard_se cutoff=4.5 delta=2.0} New GAP: {distance_2b n_sparse=15 theta_uniform=1.0 sparse_method=uniform covariance_type=ard_se cutoff=4.5 delta=2.0 Z1=6 Z2=6} New GAP: {distance_2b n_sparse=15 theta_uniform=1.0 sparse_method=uniform covariance_type=ard_se cutoff=4.5 delta=2.0 Z1=6 Z2=7} New GAP: {distance_2b n_sparse=15 theta_uniform=1.0 sparse_method=uniform covariance_type=ard_se cutoff=4.5 delta=2.0 Z1=7 Z2=7} Old GAP: {angle_3b n_sparse=200 theta_uniform=1.0 sparse_method=uniform covariance_type=ard_se cutoff=2.5 delta=0.05} New GAP: {angle_3b n_sparse=200 theta_uniform=1.0 sparse_method=uniform covariance_type=ard_se cutoff=2.5 delta=0.05 Z=6 Z1=6 Z2=6} New GAP: {angle_3b n_sparse=200 theta_uniform=1.0 sparse_method=uniform covariance_type=ard_se cutoff=2.5 delta=0.05 Z=6 Z1=6 Z2=7} New GAP: {angle_3b n_sparse=200 theta_uniform=1.0 sparse_method=uniform covariance_type=ard_se cutoff=2.5 delta=0.05 Z=6 Z1=7 Z2=7} New GAP: {angle_3b n_sparse=200 theta_uniform=1.0 sparse_method=uniform covariance_type=ard_se cutoff=2.5 delta=0.05 Z=7 Z1=6 Z2=6} New GAP: {angle_3b n_sparse=200 theta_uniform=1.0 sparse_method=uniform covariance_type=ard_se cutoff=2.5 delta=0.05 Z=7 Z1=6 Z2=7} New GAP: {angle_3b n_sparse=200 theta_uniform=1.0 sparse_method=uniform covariance_type=ard_se cutoff=2.5 delta=0.05 Z=7 Z1=7 Z2=7} Old GAP: {soap n_max=12 l_max=4 atom_sigma=0.5 zeta=4.0 cutoff=4.5 cutoff_transition_width=1.0 central_weight=1.0 n_sparse=10000 delta=0.2 covariance_type=dot_product sparse_method=cur_points radial_decay=-0.5} New GAP: {soap n_max=12 l_max=4 atom_sigma=0.5 zeta=4.0 cutoff=4.5 cutoff_transition_width=1.0 central_weight=1.0 n_sparse=10000 delta=0.2 covariance_type=dot_product sparse_method=cur_points radial_decay=-0.5 n_species=2 Z=6 species_Z={6 7 }} New GAP: {soap n_max=12 l_max=4 atom_sigma=0.5 zeta=4.0 cutoff=4.5 cutoff_transition_width=1.0 central_weight=1.0 n_sparse=10000 delta=0.2 covariance_type=dot_product sparse_method=cur_points radial_decay=-0.5 n_species=2 Z=7 species_Z={6 7 }} Sparse points and target errors per pre-defined types of configurations Liquid 0.50000000000000003E-001 0.50000000000000000E+000 0.50000000000000000E+000 0.00000000000000000E+000 Liquid_Interface 0.50000000000000003E-001 0.50000000000000000E+000 0.50000000000000000E+000 0.00000000000000000E+000 Amorphous_Bulk 0.50000000000000001E-002 0.20000000000000001E+000 0.20000000000000001E+000 0.00000000000000000E+000 Amorphous_Surfaces 0.50000000000000001E-002 0.20000000000000001E+000 0.20000000000000001E+000 0.00000000000000000E+000 Surfaces 0.20000000000000000E-002 0.10000000000000001E+000 0.20000000000000001E+000 0.00000000000000000E+000 Dimer 0.20000000000000000E-002 0.10000000000000001E+000 0.20000000000000001E+000 0.00000000000000000E+000 Fullerenes 0.20000000000000000E-002 0.10000000000000001E+000 0.20000000000000001E+000 0.00000000000000000E+000 Defects 0.10000000000000000E-002 0.10000000000000000E-001 0.50000000000000003E-001 0.00000000000000000E+000 Crystalline_Bulk 0.10000000000000000E-002 0.10000000000000000E-001 0.50000000000000003E-001 0.00000000000000000E+000 Nanotubes 0.10000000000000000E-002 0.10000000000000000E-001 0.50000000000000003E-001 0.00000000000000000E+000 Graphite 0.10000000000000000E-002 0.10000000000000000E-001 0.50000000000000003E-001 0.00000000000000000E+000 Diamond 0.10000000000000000E-002 0.10000000000000000E-001 0.50000000000000003E-001 0.00000000000000000E+000 Graphene 0.10000000000000000E-002 0.10000000000000000E-001 0.50000000000000003E-001 0.00000000000000000E+000 Graphite_Layer_Sep 0.10000000000000000E-002 0.10000000000000000E-001 0.50000000000000003E-001 0.00000000000000000E+000 Single_Atom 0.10000000000000000E-003 0.10000000000000000E-002 0.50000000000000003E-001 0.00000000000000000E+000 default 0.10000000000000000E-002 0.10000000000000000E-001 0.50000000000000003E-001 0.00000000000000000E+000 Multispecies support added where requested
===================== Report on number of descriptors found ====================
Descriptor 1: distance_2b n_sparse=15 theta_uniform=1.0 sparse_method=uniform covariance_type=ard_se cutoff=4.5 delta=2.0 Z1=6 Z2=6 Number of descriptors: 7382902 Number of partial derivatives of descriptors: 0
Descriptor 2: distance_2b n_sparse=15 theta_uniform=1.0 sparse_method=uniform covariance_type=ard_se cutoff=4.5 delta=2.0 Z1=6 Z2=7 Number of descriptors: 44 Number of partial derivatives of descriptors: 0
Descriptor 3: distance_2b n_sparse=15 theta_uniform=1.0 sparse_method=uniform covariance_type=ard_se cutoff=4.5 delta=2.0 Z1=7 Z2=7 Number of descriptors: 44 Number of partial derivatives of descriptors: 0
Descriptor 4: angle_3b n_sparse=200 theta_uniform=1.0 sparse_method=uniform covariance_type=ard_se cutoff=2.5 delta=0.05 Z=6 Z1=6 Z2=6 Number of descriptors: 9039580 Number of partial derivatives of descriptors: 0
Descriptor 5: angle_3b n_sparse=200 theta_uniform=1.0 sparse_method=uniform covariance_type=ard_se cutoff=2.5 delta=0.05 Z=6 Z1=6 Z2=7 Number of descriptors: 0 Number of partial derivatives of descriptors: 0
Descriptor 6: angle_3b n_sparse=200 theta_uniform=1.0 sparse_method=uniform covariance_type=ard_se cutoff=2.5 delta=0.05 Z=6 Z1=7 Z2=7 Number of descriptors: 0 Number of partial derivatives of descriptors: 0
Descriptor 7: angle_3b n_sparse=200 theta_uniform=1.0 sparse_method=uniform covariance_type=ard_se cutoff=2.5 delta=0.05 Z=7 Z1=6 Z2=6 Number of descriptors: 0 Number of partial derivatives of descriptors: 0
Descriptor 8: angle_3b n_sparse=200 theta_uniform=1.0 sparse_method=uniform covariance_type=ard_se cutoff=2.5 delta=0.05 Z=7 Z1=6 Z2=7 Number of descriptors: 0 Number of partial derivatives of descriptors: 0
Descriptor 9: angle_3b n_sparse=200 theta_uniform=1.0 sparse_method=uniform covariance_type=ard_se cutoff=2.5 delta=0.05 Z=7 Z1=7 Z2=7 Number of descriptors: 0 Number of partial derivatives of descriptors: 0
Descriptor 10: soap n_max=12 l_max=4 atom_sigma=0.5 zeta=4.0 cutoff=4.5 cutoff_transition_width=1.0 central_weight=1.0 n_sparse=10000 delta=0.2 covariance_type=dot_product sparse_method=cur_points radial_decay=-0.5 n_species=2 Z=6 species_Z={6 7 } Number of descriptors: 178167 Number of partial derivatives of descriptors: 0
Descriptor 11: soap n_max=12 l_max=4 atom_sigma=0.5 zeta=4.0 cutoff=4.5 cutoff_transition_width=1.0 central_weight=1.0 n_sparse=10000 delta=0.2 covariance_type=dot_product sparse_method=cur_points radial_decay=-0.5 n_species=2 Z=7 species_Z={6 7 } Number of descriptors: 79 Number of partial derivatives of descriptors: 0
======================================== ======================================
========================= Memory Estimate (per process) ========================
Descriptors Descriptor 1 :: x 1 7382902 memory 59 MB Descriptor 1 :: xPrime 1 0 memory 0 B Descriptor 2 :: x 1 44 memory 352 B Descriptor 2 :: xPrime 1 0 memory 0 B Descriptor 3 :: x 1 44 memory 352 B Descriptor 3 :: xPrime 1 0 memory 0 B Descriptor 4 :: x 3 9039580 memory 216 MB Descriptor 4 :: xPrime 3 0 memory 0 B Descriptor 5 :: x 3 0 memory 0 B Descriptor 5 :: xPrime 3 0 memory 0 B Descriptor 6 :: x 3 0 memory 0 B Descriptor 6 :: xPrime 3 0 memory 0 B Descriptor 7 :: x 3 0 memory 0 B Descriptor 7 :: xPrime 3 0 memory 0 B Descriptor 8 :: x 3 0 memory 0 B Descriptor 8 :: xPrime 3 0 memory 0 B Descriptor 9 :: x 3 0 memory 0 B Descriptor 9 :: xPrime 3 0 memory 0 B Descriptor 10 :: x 1501 178167 memory 2139 MB Descriptor 10 :: xPrime 1501 0 memory 0 B Descriptor 11 :: x 1501 79 memory 948 KB Descriptor 11 :: xPrime 1501 0 memory 0 B Subtotal 2416 MB
Covariances yY 21245 2965 memory 503 MB 2 yy 21245 21245 memory 3610 MB A 21245 24210 memory 4114 MB 2 Subtotal 12 GB
Peak1 2920 MB Peak2 12 GB PEAK 12 GB
Free system memory 373 GB Total system memory 405 GB
======================================== ======================================
========== Report on number of target properties found in training XYZ: ========
Number of target energies (property name: energy) found: 2965 Number of target local_properties (property name: local_property) found: 0 Number of target forces (property name: //IGNORE//) found: 0 Number of target virials (property name: //IGNORE//) found: 0 Number of target Hessian eigenvalues (property name: //IGNORE//) found: 0
================================= End of report ================================
===== Report on per-configuration/per-atom sigma (error parameter) settings ====
Number of per-configuration setting of energy_sigma found: 0 Number of per-configuration setting of force_sigma found: 0 Number of per-configuration setting of virial_sigma found: 0 Number of per-configuration setting of hessian_sigma found: 0 Number of per-configuration setting of local_propery_sigma found:0 Number of per-atom setting of force_atom_sigma found: 0 Number of per-component setting of force_component_sigma found: 0 Number of per-component setting of virial_component_sigma found: 0
================================= End of report ================================
WARNING: gpCoordinates_sparsify: number of data points (0) less than the number of sparse points (200), number of sparse points changed to 0 WARNING: gpCoordinates_sparsify: affected descriptor : angle_3b n_sparse=200 theta_uniform=1.0 sparse_method=uniform covariance_type=ard_se cutoff=2.5 delta=0.05 Z=6 Z1=6 Z2=7 WARNING: gpCoordinates_sparsify: number of data points (0) less than the number of sparse points (200), number of sparse points changed to 0 WARNING: gpCoordinates_sparsify: affected descriptor : angle_3b n_sparse=200 theta_uniform=1.0 sparse_method=uniform covariance_type=ard_se cutoff=2.5 delta=0.05 Z=6 Z1=7 Z2=7 WARNING: gpCoordinates_sparsify: number of data points (0) less than the number of sparse points (200), number of sparse points changed to 0 WARNING: gpCoordinates_sparsify: affected descriptor : angle_3b n_sparse=200 theta_uniform=1.0 sparse_method=uniform covariance_type=ard_se cutoff=2.5 delta=0.05 Z=7 Z1=6 Z2=6 WARNING: gpCoordinates_sparsify: number of data points (0) less than the number of sparse points (200), number of sparse points changed to 0 WARNING: gpCoordinates_sparsify: affected descriptor : angle_3b n_sparse=200 theta_uniform=1.0 sparse_method=uniform covariance_type=ard_se cutoff=2.5 delta=0.05 Z=7 Z1=6 Z2=7 WARNING: gpCoordinates_sparsify: number of data points (0) less than the number of sparse points (200), number of sparse points changed to 0 WARNING: gpCoordinates_sparsify: affected descriptor : angle_3b n_sparse=200 theta_uniform=1.0 sparse_method=uniform covariance_type=ard_se cutoff=2.5 delta=0.05 Z=7 Z1=7 Z2=7 Started CUR decomposition
However, there was no .xml file generated as expected and only a .idx file was created. it would be appreciated if someone could help out with this and provide more details on the MPI running instruction.
Thank you so much in advance.