#include <deeplima/eigen_wrp/graph_dp_eigen_inference_impl.h>

Inheritance diagram for deeplima::graph_dp::eigen_impl::BiRnnAndDeepBiaffineAttentionEigenInference:

Public Types
typedef Eigen::MatrixXf	Matrix

typedef Eigen::VectorXf	Vector

typedef float	Scalar

typedef Eigen::MatrixXf	tensor_t

typedef EmbdUInt64FloatHolder	dicts_holder_t

typedef deeplima::eigen_impl::BiRnnInferenceBase	Parent

Public Types inherited from deeplima::eigen_impl::BiRnnInferenceBase
typedef Eigen::MatrixXf	Matrix

typedef Eigen::VectorXf	Vector

typedef float	Scalar

typedef Eigen::MatrixXf	tensor_t

typedef EmbdUInt64FloatHolder	uint_dicts_holder_t

typedef EmbdStrFloatHolder	str_dicts_holder_t

Public Member Functions
virtual	~BiRnnAndDeepBiaffineAttentionEigenInference ()=default

virtual void	load (const std::string &fn)

virtual size_t	get_precomputed_dim () const

virtual void	precompute_inputs (const Eigen::MatrixXf &inputs, Eigen::MatrixXf &outputs, int64_t input_size)

virtual void	predict (size_t, const Eigen::MatrixXf &, int64_t, int64_t, int64_t, int64_t, std::shared_ptr< StdMatrix< uint8_t > > &, const std::vector< std::string > &)

virtual void	predict (size_t worker_id, const Eigen::MatrixXf &inputs, int64_t input_begin, int64_t, int64_t, int64_t, std::shared_ptr< StdMatrix< uint32_t > > &output, const std::vector< size_t > &lengths, const std::vector< std::string > &)

const std::string &	get_embd_fn (size_t idx) const

const std::vector< std::string > &	get_rel_class_names () const

bool	has_label_decoder () const

Public Member Functions inherited from deeplima::eigen_impl::BiRnnInferenceBase
virtual	~BiRnnInferenceBase ()=default

const uint_dicts_holder_t &	get_input_uint_dicts () const

const std::vector< std::string > &	get_input_uint_dicts_names () const

const str_dicts_holder_t &	get_input_str_dicts () const

const std::vector< std::string > &	get_input_str_dicts_names () const

const std::vector< std::vector< std::string > > &	get_output_str_dicts () const

const std::vector< std::string > &	get_output_str_dicts_names () const

virtual size_t	init_new_worker (size_t input_len, bool precomputed_input=false)

Protected Member Functions
virtual void	convert_from_torch (const std::string &fn)

Protected Member Functions inherited from deeplima::eigen_impl::BiRnnInferenceBase
virtual void	convert_dicts_and_embeddings (const nets::BiRnnClassifierImpl &src)

Protected Attributes
std::vector< std::string >	m_embd_fn

std::vector< std::shared_ptr< deeplima::eigen_impl::params_deep_biaffine_attn_decoder_t< Eigen::MatrixXf, Eigen::VectorXf > > >	m_deep_biaffine_attn_decoder

std::map< std::string, size_t >	m_deep_biaffine_attn_decoder_idx

std::vector< std::shared_ptr< deeplima::eigen_impl::params_deep_biaffine_attn_label_decoder_t< Eigen::MatrixXf, Eigen::VectorXf > > >	m_deep_biaffine_attn_label_decoder

std::vector< std::string >	m_rel_class_names

Protected Attributes inherited from deeplima::eigen_impl::BiRnnInferenceBase
std::vector< std::shared_ptr< Op_Base > >	m_ops

std::vector< std::shared_ptr< param_base_t > >	m_params

std::vector< std::vector< std::shared_ptr< Op_Base::workbench_t > > >	m_wb

uint_dicts_holder_t	m_input_uint_dicts

std::vector< std::string >	m_input_uint_dicts_names

str_dicts_holder_t	m_input_str_dicts

std::vector< std::string >	m_input_str_dicts_names

std::vector< std::vector< std::string > >	m_output_str_dicts

std::vector< std::string >	m_output_str_dicts_names

std::vector< params_bilstm_spec_t >	m_lstm

std::map< std::string, size_t >	m_lstm_idx

std::vector< std::shared_ptr< params_multilayer_bilstm_spec_t > >	m_multi_bilstm

std::map< std::string, size_t >	m_multi_bilstm_idx

std::vector< params_linear_t< Eigen::MatrixXf, Eigen::VectorXf > >	m_linear

std::map< std::string, size_t >	m_linear_idx

Additional Inherited Members
Protected Types inherited from deeplima::eigen_impl::BiRnnInferenceBase
typedef params_bilstm_t< Eigen::MatrixXf, Eigen::VectorXf >	params_bilstm_spec_t

typedef params_multilayer_bilstm_t< Eigen::MatrixXf, Eigen::VectorXf >	params_multilayer_bilstm_spec_t

Detailed Description

Definition at line 34 of file graph_dp_eigen_inference_impl.h.

Member Typedef Documentation

◆ dicts_holder_t

typedef EmbdUInt64FloatHolder deeplima::graph_dp::eigen_impl::BiRnnAndDeepBiaffineAttentionEigenInference::dicts_holder_t

Definition at line 42 of file graph_dp_eigen_inference_impl.h.

◆ Matrix

typedef Eigen::MatrixXf deeplima::graph_dp::eigen_impl::BiRnnAndDeepBiaffineAttentionEigenInference::Matrix

Definition at line 38 of file graph_dp_eigen_inference_impl.h.

◆ Parent

typedef deeplima::eigen_impl::BiRnnInferenceBase deeplima::graph_dp::eigen_impl::BiRnnAndDeepBiaffineAttentionEigenInference::Parent

Definition at line 43 of file graph_dp_eigen_inference_impl.h.

◆ Scalar

typedef float deeplima::graph_dp::eigen_impl::BiRnnAndDeepBiaffineAttentionEigenInference::Scalar

Definition at line 40 of file graph_dp_eigen_inference_impl.h.

◆ tensor_t

typedef Eigen::MatrixXf deeplima::graph_dp::eigen_impl::BiRnnAndDeepBiaffineAttentionEigenInference::tensor_t

Definition at line 41 of file graph_dp_eigen_inference_impl.h.

◆ Vector

typedef Eigen::VectorXf deeplima::graph_dp::eigen_impl::BiRnnAndDeepBiaffineAttentionEigenInference::Vector

Definition at line 39 of file graph_dp_eigen_inference_impl.h.

Constructor & Destructor Documentation

◆ ~BiRnnAndDeepBiaffineAttentionEigenInference()

virtual deeplima::graph_dp::eigen_impl::BiRnnAndDeepBiaffineAttentionEigenInference::~BiRnnAndDeepBiaffineAttentionEigenInference ( )

virtualdefault

Member Function Documentation

◆ convert_from_torch()

void deeplima::graph_dp::eigen_impl::BiRnnAndDeepBiaffineAttentionEigenInference::convert_from_torch ( const std::string & fn )

protectedvirtual

Implements deeplima::eigen_impl::BiRnnInferenceBase.

Definition at line 27 of file graph_dp_model.cpp.

◆ get_embd_fn()

const std::string & deeplima::graph_dp::eigen_impl::BiRnnAndDeepBiaffineAttentionEigenInference::get_embd_fn ( size_t idx ) const

inline

Definition at line 149 of file graph_dp_eigen_inference_impl.h.

◆ get_precomputed_dim()

virtual size_t deeplima::graph_dp::eigen_impl::BiRnnAndDeepBiaffineAttentionEigenInference::get_precomputed_dim ( ) const

inlinevirtual

Definition at line 52 of file graph_dp_eigen_inference_impl.h.

◆ get_rel_class_names()

const std::vector< std::string > & deeplima::graph_dp::eigen_impl::BiRnnAndDeepBiaffineAttentionEigenInference::get_rel_class_names ( ) const

inline

Definition at line 155 of file graph_dp_eigen_inference_impl.h.

◆ has_label_decoder()

bool deeplima::graph_dp::eigen_impl::BiRnnAndDeepBiaffineAttentionEigenInference::has_label_decoder ( ) const

inline

Definition at line 160 of file graph_dp_eigen_inference_impl.h.

◆ load()

virtual void deeplima::graph_dp::eigen_impl::BiRnnAndDeepBiaffineAttentionEigenInference::load ( const std::string & fn )

inlinevirtual

Implements deeplima::eigen_impl::BiRnnInferenceBase.

Definition at line 47 of file graph_dp_eigen_inference_impl.h.

◆ precompute_inputs()

virtual void deeplima::graph_dp::eigen_impl::BiRnnAndDeepBiaffineAttentionEigenInference::precompute_inputs	(	const Eigen::MatrixXf &	inputs,
		Eigen::MatrixXf &	outputs,
		int64_t	input_size
	)

inlinevirtual

Implements deeplima::eigen_impl::BiRnnInferenceBase.

Definition at line 60 of file graph_dp_eigen_inference_impl.h.

◆ predict() [1/2]

virtual void deeplima::graph_dp::eigen_impl::BiRnnAndDeepBiaffineAttentionEigenInference::predict	(	size_t	worker_id,
		const Eigen::MatrixXf &	inputs,
		int64_t	input_begin,
		int64_t	,
		int64_t	,
		int64_t	,
		std::shared_ptr< StdMatrix< uint32_t > > &	output,
		const std::vector< size_t > &	lengths,
		const std::vector< std::string > &
	)

inlinevirtual

Definition at line 86 of file graph_dp_eigen_inference_impl.h.

◆ predict() [2/2]

virtual void deeplima::graph_dp::eigen_impl::BiRnnAndDeepBiaffineAttentionEigenInference::predict	(	size_t	,
		const Eigen::MatrixXf &	,
		int64_t	,
		int64_t	,
		int64_t	,
		int64_t	,
		std::shared_ptr< StdMatrix< uint8_t > > &	,
		const std::vector< std::string > &
	)

inlinevirtual

Implements deeplima::eigen_impl::BiRnnInferenceBase.

Definition at line 71 of file graph_dp_eigen_inference_impl.h.

Member Data Documentation

◆ m_deep_biaffine_attn_decoder

std::vector<std::shared_ptr<deeplima::eigen_impl::params_deep_biaffine_attn_decoder_t<Eigen::MatrixXf, Eigen::VectorXf> > > deeplima::graph_dp::eigen_impl::BiRnnAndDeepBiaffineAttentionEigenInference::m_deep_biaffine_attn_decoder

protected

Definition at line 168 of file graph_dp_eigen_inference_impl.h.

◆ m_deep_biaffine_attn_decoder_idx

std::map<std::string, size_t> deeplima::graph_dp::eigen_impl::BiRnnAndDeepBiaffineAttentionEigenInference::m_deep_biaffine_attn_decoder_idx

protected

Definition at line 169 of file graph_dp_eigen_inference_impl.h.

◆ m_deep_biaffine_attn_label_decoder

std::vector<std::shared_ptr<deeplima::eigen_impl::params_deep_biaffine_attn_label_decoder_t<Eigen::MatrixXf, Eigen::VectorXf> > > deeplima::graph_dp::eigen_impl::BiRnnAndDeepBiaffineAttentionEigenInference::m_deep_biaffine_attn_label_decoder

protected

Definition at line 171 of file graph_dp_eigen_inference_impl.h.

◆ m_embd_fn

std::vector<std::string> deeplima::graph_dp::eigen_impl::BiRnnAndDeepBiaffineAttentionEigenInference::m_embd_fn

protected

Definition at line 166 of file graph_dp_eigen_inference_impl.h.

◆ m_rel_class_names

std::vector<std::string> deeplima::graph_dp::eigen_impl::BiRnnAndDeepBiaffineAttentionEigenInference::m_rel_class_names

protected

Definition at line 172 of file graph_dp_eigen_inference_impl.h.

The documentation for this class was generated from the following files:

deeplima/include/deeplima/eigen_wrp/graph_dp_eigen_inference_impl.h
deeplima/libs/convert/from_torch/graph_dp_model.cpp

Public Types

Public Member Functions

Protected Member Functions

Protected Attributes

Additional Inherited Members

Detailed Description

Member Typedef Documentation

◆ dicts_holder_t

◆ Matrix

◆ Parent

◆ Scalar

◆ tensor_t

◆ Vector

Constructor & Destructor Documentation

◆ ~BiRnnAndDeepBiaffineAttentionEigenInference()

Member Function Documentation

◆ convert_from_torch()

◆ get_embd_fn()

◆ get_precomputed_dim()

◆ get_rel_class_names()

◆ has_label_decoder()

◆ load()

◆ precompute_inputs()

◆ predict() [1/2]

◆ predict() [2/2]

Member Data Documentation

◆ m_deep_biaffine_attn_decoder

◆ m_deep_biaffine_attn_decoder_idx

◆ m_deep_biaffine_attn_label_decoder

◆ m_embd_fn

◆ m_rel_class_names