graph_dp.h File Reference

#include "config.h"
#include "nets/birnn_seq_cls.h"
#include "eigen_wrp/eigen_matrix.h"
#include "eigen_wrp/embd_dict.h"
#include "eigen_wrp/dict_embd_vectorizer.h"
#include "eigen_wrp/graph_dp_eigen_inference_impl.h"
#include "eigen_wrp/word_seq_embd_vectorizer.h"
#include "feat_extractors.h"

Go to the source code of this file.

Classes
class	deeplima::graph_dp::eigen_impl::FeaturesVectorizer< TokenVector, Token >
class	deeplima::graph_dp::eigen_impl::FeaturesVectorizerWithCache< TokenVector, Token >
class	deeplima::graph_dp::eigen_impl::FeaturesVectorizerWithPrecomputing< Model, TokenVector, Token >
class	deeplima::graph_dp::impl::FeaturesVectorizer< TokenVector, Token >
class	deeplima::graph_dp::impl::FeaturesVectorizerWithCache< TokenVector, Token >
class	deeplima::graph_dp::impl::FeaturesVectorizerWithPrecomputing< Model, TokenVector, Token >

Namespaces
namespace	deeplima
namespace	deeplima::graph_dp
namespace	deeplima::graph_dp::eigen_impl
namespace	deeplima::graph_dp::impl

Typedefs
using	deeplima::graph_dp::eigen_impl::Model = BiRnnAndDeepBiaffineAttentionEigenInference
typedef DictEmbdVectorizer< EmbdUInt64FloatHolder, EmbdUInt64Float, eigen_wrp::EigenMatrixXf >	deeplima::graph_dp::eigen_impl::EmbdVectorizer
using	deeplima::graph_dp::impl::Model = eigen_impl::BiRnnAndDeepBiaffineAttentionEigenInference
typedef eigen_wrp::EigenMatrixXf	deeplima::graph_dp::impl::BaseMatrix
typedef RnnSequenceClassifier< Model, BaseMatrix, uint32_t >	deeplima::graph_dp::impl::GraphDependencyParser