Class DeepTensor

Class DeepTensor#

Class Documentation#

class DeepTensor#

Deep Tensor.

Public Functions

inline DeepTensor()#

Deep Tensor constructor without initialization.

inline ~DeepTensor()#
inline DeepTensor(const std::string &model, const int &gpu_rank = 0, const std::string &name_scope = "")#

DeepTensor constructor with initialization.

Parameters:

model – [in] The name of the frozen model file.

inline void init(const std::string &model, const int &gpu_rank = 0, const std::string &name_scope = "")#

Initialize the DeepTensor.

Parameters:

model – [in] The name of the frozen model file.

template<typename VALUETYPE>
inline void compute(std::vector<VALUETYPE> &tensor, const std::vector<VALUETYPE> &coord, const std::vector<int> &atype, const std::vector<VALUETYPE> &box)#

Evaluate the tensor, force and virial by using this Deep Tensor.

Parameters:

  • tensor – [out] The atomic tensor.

  • coord – [in] The coordinates of atoms. The array should be of size nframes x natoms x 3.

  • atype – [in] The atom types. The list should contain natoms ints.

  • box – [in] The cell of the region. The array should be of size nframes x 9 (PBC) or empty (no PBC).

template<typename VALUETYPE>
inline void compute(std::vector<VALUETYPE> &tensor, const std::vector<VALUETYPE> &coord, const std::vector<int> &atype, const std::vector<VALUETYPE> &box, const int nghost, const InputNlist &lmp_list)#

Evaluate the tensor, force and virial by using this Deep Tensor with the neighbor list.

Parameters:

  • tensor – [out] The tensor.

  • coord – [in] The coordinates of atoms. The array should be of size nframes x natoms x 3.

  • atype – [in] The atom types. The list should contain natoms ints.

  • box – [in] The cell of the region. The array should be of size nframes x 9 (PBC) or empty (no PBC).

  • nghost – [in] The number of ghost atoms.

  • nlist – [in] The neighbor list.

template<typename VALUETYPE>
inline void compute(std::vector<VALUETYPE> &global_tensor, std::vector<VALUETYPE> &force, std::vector<VALUETYPE> &virial, const std::vector<VALUETYPE> &coord, const std::vector<int> &atype, const std::vector<VALUETYPE> &box)#

Evaluate the global tensor, force and virial by using this Deep Tensor.

Parameters:

  • global_tensor – [out] The global tensor.

  • force – [out] The force on each atom.

  • virial – [out] The virial.

  • coord – [in] The coordinates of atoms. The array should be of size nframes x natoms x 3.

  • atype – [in] The atom types. The list should contain natoms ints.

  • box – [in] The cell of the region. The array should be of size nframes x 9 (PBC) or empty (no PBC).

template<typename VALUETYPE>
inline void compute(std::vector<VALUETYPE> &global_tensor, std::vector<VALUETYPE> &force, std::vector<VALUETYPE> &virial, std::vector<VALUETYPE> &atom_tensor, std::vector<VALUETYPE> &atom_virial, const std::vector<VALUETYPE> &coord, const std::vector<int> &atype, const std::vector<VALUETYPE> &box)#

Evaluate the global tensor, force, virial, atomic tensor, and atomic virial by using this Deep Tensor.

Parameters:

  • global_tensor – [out] The global tensor.

  • force – [out] The force on each atom.

  • virial – [out] The virial.

  • atom_tensor – [out] The atomic tensor.

  • atom_virial – [out] The atomic virial.

  • coord – [in] The coordinates of atoms. The array should be of size nframes x natoms x 3.

  • atype – [in] The atom types. The list should contain natoms ints.

  • box – [in] The cell of the region. The array should be of size nframes x 9 (PBC) or empty (no PBC).

template<typename VALUETYPE>
inline void compute(std::vector<VALUETYPE> &global_tensor, std::vector<VALUETYPE> &force, std::vector<VALUETYPE> &virial, const std::vector<VALUETYPE> &coord, const std::vector<int> &atype, const std::vector<VALUETYPE> &box, const int nghost, const InputNlist &lmp_list)#

Evaluate the global tensor, force and virial by using this Deep Tensor with the neighbor list.

Parameters:

  • global_tensor – [out] The global tensor.

  • force – [out] The force on each atom.

  • virial – [out] The virial.

  • coord – [in] The coordinates of atoms. The array should be of size nframes x natoms x 3.

  • atype – [in] The atom types. The list should contain natoms ints.

  • box – [in] The cell of the region. The array should be of size nframes x 9 (PBC) or empty (no PBC).

  • nghost – [in] The number of ghost atoms.

  • nlist – [in] The neighbor list.

template<typename VALUETYPE>
inline void compute(std::vector<VALUETYPE> &global_tensor, std::vector<VALUETYPE> &force, std::vector<VALUETYPE> &virial, std::vector<VALUETYPE> &atom_tensor, std::vector<VALUETYPE> &atom_virial, const std::vector<VALUETYPE> &coord, const std::vector<int> &atype, const std::vector<VALUETYPE> &box, const int nghost, const InputNlist &lmp_list)#

Evaluate the global tensor, force, virial, atomic tensor, and atomic virial by using this Deep Tensor with the neighbor list.

Parameters:

  • global_tensor – [out] The global tensor.

  • force – [out] The force on each atom.

  • virial – [out] The virial.

  • atom_tensor – [out] The atomic tensor.

  • atom_virial – [out] The atomic virial.

  • coord – [in] The coordinates of atoms. The array should be of size nframes x natoms x 3.

  • atype – [in] The atom types. The list should contain natoms ints.

  • box – [in] The cell of the region. The array should be of size nframes x 9 (PBC) or empty (no PBC).

  • nghost – [in] The number of ghost atoms.

  • nlist – [in] The neighbor list.

inline double cutoff() const#

Get the cutoff radius.

Returns:

The cutoff radius.

inline int numb_types() const#

Get the number of types.

Returns:

The number of types.

inline int output_dim() const#

Get the output dimension.

Returns:

The output dimension.

inline std::vector<int> sel_types() const#
inline void print_summary(const std::string &pre) const#

Print the summary of DeePMD-kit, including the version and the build information.

Parameters:

pre – [in] The prefix to each line.

inline void get_type_map(std::string &type_map)#

Get the type map (element name of the atom types) of this model.

Parameters:

type_map – [out] The type map of this model.