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ABACUS develop
Atomic-orbital Based Ab-initio Computation at UStc
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#include <ml_base.h>
Public Member Functions | |
| ML_Base () | |
| ~ML_Base () | |
| void | set_device (std::string device_inpt) |
| void | loadVector (std::string filename, std::vector< double > &data) |
| void | dumpVector (std::string filename, const std::vector< double > &data) |
| void | dumpTensor (std::string filename, const torch::Tensor &data) |
| void | dumpMatrix (std::string filename, const ModuleBase::matrix &data) |
| torch::Tensor | get_data (std::string parameter, const int ikernel) const |
Public Attributes | |
| int | nx_tot = 0 |
Protected Member Functions | |
| void | updateInput (const double *const *prho, const ModulePW::PW_Basis *pw_rho) |
| void | NN_forward (const double *const *prho, const ModulePW::PW_Basis *pw_rho, bool cal_grad) |
| void | get_potential_ (const double *const *prho, const ModulePW::PW_Basis *pw_rho, ModuleBase::matrix &rpotential) |
| double | potGammaTerm (int ir) |
| double | potPTerm1 (int ir) |
| double | potQTerm1 (int ir) |
| double | potXiTerm1 (int ir) |
| double | potTanhxiTerm1 (int ir) |
| double | potTanhpTerm1 (int ir) |
| double | potTanhqTerm1 (int ir) |
| void | potGammanlTerm (const double *const *prho, const std::vector< double > &tau_lda, const ModulePW::PW_Basis *pw_rho, std::vector< double > &rGammanlTerm) |
| void | potXinlTerm (const double *const *prho, const std::vector< double > &tau_lda, const ModulePW::PW_Basis *pw_rho, std::vector< double > &rXinlTerm) |
| void | potTanhxinlTerm (const double *const *prho, const std::vector< double > &tau_lda, const ModulePW::PW_Basis *pw_rho, std::vector< double > &rTanhxinlTerm) |
| void | potTanhxi_nlTerm (const double *const *prho, const std::vector< double > &tau_lda, const ModulePW::PW_Basis *pw_rho, std::vector< double > &rTanhxi_nlTerm) |
| void | potPPnlTerm (const double *const *prho, const std::vector< double > &tau_lda, const ModulePW::PW_Basis *pw_rho, std::vector< double > &rPPnlTerm) |
| void | potQQnlTerm (const double *const *prho, const std::vector< double > &tau_lda, const ModulePW::PW_Basis *pw_rho, std::vector< double > &rQQnlTerm) |
| void | potTanhpTanh_pnlTerm (const double *const *prho, const std::vector< double > &tau_lda, const ModulePW::PW_Basis *pw_rho, std::vector< double > &rTanhpTanh_pnlTerm) |
| void | potTanhqTanh_qnlTerm (const double *const *prho, const std::vector< double > &tau_lda, const ModulePW::PW_Basis *pw_rho, std::vector< double > &rTanhqTanh_qnlTerm) |
| void | potTanhpTanhp_nlTerm (const double *const *prho, const std::vector< double > &tau_lda, const ModulePW::PW_Basis *pw_rho, std::vector< double > &rTanhpTanhp_nlTerm) |
| void | potTanhqTanhq_nlTerm (const double *const *prho, const std::vector< double > &tau_lda, const ModulePW::PW_Basis *pw_rho, std::vector< double > &rTanhqTanhq_nlTerm) |
Protected Attributes | |
| ModuleIO::Cal_MLKEDF_Descriptors * | cal_tool = nullptr |
| int | nx = 0 |
| double | dV = 0. |
| double | pqcoef = 1.0 / (4.0 * std::pow(3*std::pow(M_PI, 2.0), 2.0/3.0)) |
| double | feg_net_F = 0.0 |
| double | feg3_correct = 0.541324854612918 |
| double | energy_prefactor = 0.0 |
| double | energy_exponent = 0.0 |
| int | ninput = 0 |
| std::vector< double > | gamma |
| std::vector< double > | p |
| std::vector< double > | q |
| std::vector< std::vector< double > > | gammanl |
| std::vector< std::vector< double > > | pnl |
| std::vector< std::vector< double > > | qnl |
| std::vector< std::vector< double > > | nablaRho |
| std::vector< double > | chi_xi |
| double | chi_p = 1.0 |
| double | chi_q = 1.0 |
| std::vector< std::vector< double > > | xi |
| std::vector< std::vector< double > > | tanhxi |
| std::vector< std::vector< double > > | tanhxi_nl |
| std::vector< double > | tanhp |
| std::vector< double > | tanhq |
| std::vector< double > | chi_pnl |
| std::vector< double > | chi_qnl |
| std::vector< std::vector< double > > | tanh_pnl |
| std::vector< std::vector< double > > | tanh_qnl |
| std::vector< std::vector< double > > | tanhp_nl |
| std::vector< std::vector< double > > | tanhq_nl |
| torch::DeviceType | device_type = torch::kCPU |
| torch::Device | device = torch::Device(torch::kCPU) |
| torch::Device | device_CPU = torch::Device(torch::kCPU) |
| std::shared_ptr< NN_OFImpl > | nn |
| double * | enhancement_cpu_ptr = nullptr |
| double * | gradient_cpu_ptr = nullptr |
| int | nkernel = 1 |
| bool | ml_gamma = false |
| bool | ml_p = false |
| bool | ml_q = false |
| bool | ml_tanhp = false |
| bool | ml_tanhq = false |
| bool | ml_gammanl = false |
| bool | ml_pnl = false |
| bool | ml_qnl = false |
| bool | ml_xi = false |
| bool | ml_tanhxi = false |
| bool | ml_tanhxi_nl = false |
| bool | ml_tanh_pnl = false |
| bool | ml_tanh_qnl = false |
| bool | ml_tanhp_nl = false |
| bool | ml_tanhq_nl = false |
| std::vector< std::string > | descriptor_type |
| std::vector< int > | kernel_index |
| std::map< std::string, std::vector< int > > | descriptor2kernel |
| std::map< std::string, std::vector< int > > | descriptor2index |
| std::map< std::string, std::vector< bool > > | gene_data_label |
| ML_Base::ML_Base | ( | ) |
| ML_Base::~ML_Base | ( | ) |
| void ML_Base::dumpMatrix | ( | std::string | filename, |
| const ModuleBase::matrix & | data | ||
| ) |
| void ML_Base::dumpTensor | ( | std::string | filename, |
| const torch::Tensor & | data | ||
| ) |
| void ML_Base::dumpVector | ( | std::string | filename, |
| const std::vector< double > & | data | ||
| ) |
| torch::Tensor ML_Base::get_data | ( | std::string | parameter, |
| const int | ikernel | ||
| ) | const |
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| void ML_Base::loadVector | ( | std::string | filename, |
| std::vector< double > & | data | ||
| ) |
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| void ML_Base::set_device | ( | std::string | device_inpt | ) |
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| int ML_Base::nx_tot = 0 |
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