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DeepSpinPT.h
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279 lines (269 loc) · 10.1 KB
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// SPDX-License-Identifier: LGPL-3.0-or-later
#pragma once
#include <torch/script.h>
#include <torch/torch.h>
#include "DeepSpin.h"
namespace deepmd {
/**
* @brief PyTorch implementation for Deep Potential.
**/
class DeepSpinPT : public DeepSpinBackend {
public:
/**
* @brief DP constructor without initialization.
**/
DeepSpinPT();
virtual ~DeepSpinPT();
/**
* @brief DP constructor with initialization.
* @param[in] model The name of the frozen model file.
* @param[in] gpu_rank The GPU rank. Default is 0.
* @param[in] file_content The content of the model file. If it is not empty,
*DP will read from the string instead of the file.
**/
DeepSpinPT(const std::string& model,
const int& gpu_rank = 0,
const std::string& file_content = "");
/**
* @brief Initialize the DP.
* @param[in] model The name of the frozen model file.
* @param[in] gpu_rank The GPU rank. Default is 0.
* @param[in] file_content The content of the model file. If it is not empty,
*DP will read from the string instead of the file.
**/
void init(const std::string& model,
const int& gpu_rank = 0,
const std::string& file_content = "");
private:
/**
* @brief Evaluate the energy, force, magnetic force, virial, atomic energy,
*and atomic virial by using this DP with spin input.
* @param[out] ener The system energy.
* @param[out] force The force on each atom.
* @param[out] force_mag The magnetic force on each atom.
* @param[out] virial The virial.
* @param[out] atom_energy The atomic energy.
* @param[out] atom_virial The atomic virial.
* @param[in] coord The coordinates of atoms. The array should be of size
*nframes x natoms x 3.
* @param[in] spin The spins of atoms, [0, 0, 0] if no spin. The array should
*be of size nframes x natoms x 3.
* @param[in] atype The atom types. The list should contain natoms ints.
* @param[in] box The cell of the region. The array should be of size nframes
*x 9.
* @param[in] fparam The frame parameter. The array can be of size :
* nframes x dim_fparam.
* dim_fparam. Then all frames are assumed to be provided with the same
*fparam.
* @param[in] aparam The atomic parameter The array can be of size :
* nframes x natoms x dim_aparam.
* natoms x dim_aparam. Then all frames are assumed to be provided with the
*same aparam.
* @param[in] atomic Whether to compute the atomic energy and virial.
**/
template <typename VALUETYPE, typename ENERGYVTYPE>
void compute(ENERGYVTYPE& ener,
std::vector<VALUETYPE>& force,
std::vector<VALUETYPE>& force_mag,
std::vector<VALUETYPE>& virial,
std::vector<VALUETYPE>& atom_energy,
std::vector<VALUETYPE>& atom_virial,
const std::vector<VALUETYPE>& coord,
const std::vector<VALUETYPE>& spin,
const std::vector<int>& atype,
const std::vector<VALUETYPE>& box,
const std::vector<VALUETYPE>& fparam,
const std::vector<VALUETYPE>& aparam,
const bool atomic);
/**
* @brief Evaluate the energy, force, magnetic force, virial, atomic energy,
*and atomic virial by using this DP with spin input.
* @param[out] ener The system energy.
* @param[out] force The force on each atom.
* @param[out] force_mag The magnetic force on each atom.
* @param[out] virial The virial.
* @param[out] atom_energy The atomic energy.
* @param[out] atom_virial The atomic virial.
* @param[in] coord The coordinates of atoms. The array should be of size
*nframes x natoms x 3.
* @param[in] spin The spins of atoms, [0, 0, 0] if no spin. The array should
*be of size nframes x natoms x 3.
* @param[in] atype The atom types. The list should contain natoms ints.
* @param[in] box The cell of the region. The array should be of size nframes
*x 9.
* @param[in] nghost The number of ghost atoms.
* @param[in] lmp_list The input neighbour list.
* @param[in] ago Update the internal neighbour list if ago is 0.
* @param[in] fparam The frame parameter. The array can be of size :
* nframes x dim_fparam.
* dim_fparam. Then all frames are assumed to be provided with the same
*fparam.
* @param[in] aparam The atomic parameter The array can be of size :
* nframes x natoms x dim_aparam.
* natoms x dim_aparam. Then all frames are assumed to be provided with the
*same aparam.
* @param[in] atomic Whether to compute the atomic energy and virial.
**/
template <typename VALUETYPE, typename ENERGYVTYPE>
void compute(ENERGYVTYPE& ener,
std::vector<VALUETYPE>& force,
std::vector<VALUETYPE>& force_mag,
std::vector<VALUETYPE>& virial,
std::vector<VALUETYPE>& atom_energy,
std::vector<VALUETYPE>& atom_virial,
const std::vector<VALUETYPE>& coord,
const std::vector<VALUETYPE>& spin,
const std::vector<int>& atype,
const std::vector<VALUETYPE>& box,
const int nghost,
const InputNlist& lmp_list,
const int& ago,
const std::vector<VALUETYPE>& fparam,
const std::vector<VALUETYPE>& aparam,
const bool atomic);
public:
/**
* @brief Get the cutoff radius.
* @return The cutoff radius.
**/
double cutoff() const {
assert(inited);
return rcut;
};
/**
* @brief Get the number of types.
* @return The number of types.
**/
int numb_types() const {
assert(inited);
return ntypes;
};
/**
* @brief Get the number of types with spin.
* @return The number of types with spin.
**/
int numb_types_spin() const {
assert(inited);
return ntypes_spin;
};
/**
* @brief Get the dimension of the frame parameter.
* @return The dimension of the frame parameter.
**/
int dim_fparam() const {
assert(inited);
return dfparam;
};
/**
* @brief Get the dimension of the atomic parameter.
* @return The dimension of the atomic parameter.
**/
int dim_aparam() const {
assert(inited);
return daparam;
};
/**
* @brief Get the type map (element name of the atom types) of this model.
* @param[out] type_map The type map of this model.
**/
void get_type_map(std::string& type_map);
/**
* @brief Get whether the atom dimension of aparam is nall instead of fparam.
* @param[out] aparam_nall whether the atom dimension of aparam is nall
*instead of fparam.
**/
bool is_aparam_nall() const {
assert(inited);
return aparam_nall;
};
void computew(std::vector<double>& ener,
std::vector<double>& force,
std::vector<double>& force_mag,
std::vector<double>& virial,
std::vector<double>& atom_energy,
std::vector<double>& atom_virial,
const std::vector<double>& coord,
const std::vector<double>& spin,
const std::vector<int>& atype,
const std::vector<double>& box,
const std::vector<double>& fparam,
const std::vector<double>& aparam,
const bool atomic);
void computew(std::vector<double>& ener,
std::vector<float>& force,
std::vector<float>& force_mag,
std::vector<float>& virial,
std::vector<float>& atom_energy,
std::vector<float>& atom_virial,
const std::vector<float>& coord,
const std::vector<float>& spin,
const std::vector<int>& atype,
const std::vector<float>& box,
const std::vector<float>& fparam,
const std::vector<float>& aparam,
const bool atomic);
void computew(std::vector<double>& ener,
std::vector<double>& force,
std::vector<double>& force_mag,
std::vector<double>& virial,
std::vector<double>& atom_energy,
std::vector<double>& atom_virial,
const std::vector<double>& coord,
const std::vector<double>& spin,
const std::vector<int>& atype,
const std::vector<double>& box,
const int nghost,
const InputNlist& inlist,
const int& ago,
const std::vector<double>& fparam,
const std::vector<double>& aparam,
const bool atomic);
void computew(std::vector<double>& ener,
std::vector<float>& force,
std::vector<float>& force_mag,
std::vector<float>& virial,
std::vector<float>& atom_energy,
std::vector<float>& atom_virial,
const std::vector<float>& coord,
const std::vector<float>& spin,
const std::vector<int>& atype,
const std::vector<float>& box,
const int nghost,
const InputNlist& inlist,
const int& ago,
const std::vector<float>& fparam,
const std::vector<float>& aparam,
const bool atomic);
private:
int num_intra_nthreads, num_inter_nthreads;
bool inited;
int ntypes;
int ntypes_spin;
int dfparam;
int daparam;
bool aparam_nall;
// copy neighbor list info from host
torch::jit::script::Module module;
double rcut;
NeighborListData nlist_data;
int max_num_neighbors;
int gpu_id;
bool do_message_passing; // 1:dpa2 model 0:others
bool gpu_enabled;
at::Tensor firstneigh_tensor;
c10::optional<torch::Tensor> mapping_tensor;
torch::Dict<std::string, torch::Tensor> comm_dict;
// PyTorch profiler
bool profiler_enabled;
std::string profiler_output_dir;
#ifdef BUILD_PYTORCH
std::shared_ptr<torch::profiler::Result> profiler_result;
#endif
/**
* @brief Translate PyTorch exceptions to the DeePMD-kit exception.
* @param[in] f The function to run.
* @example translate_error([&](){...});
*/
void translate_error(std::function<void()> f);
};
} // namespace deepmd