LIMA
Libre Multilingual Analyzer — C++ API
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stanza_models_depparse_model.h File Reference
#include <torch/torch.h>
#include <torch/nn/modules/dropout.h>
#include <torch/nn/modules/embedding.h>
#include <torch/nn/modules/linear.h>
#include <torch/nn/modules/rnn.h>
#include <torch/nn/utils/rnn.h>
#include <ATen/ATen.h>
#include <ATen/Functions.h>
#include <algorithm>

Go to the source code of this file.

Classes

class  deeplima::nets::torch_modules::WordDropoutImpl
 A word dropout layer that's designed for embedded inputs (e.g., any inputs to an LSTM layer). More...
 
class  deeplima::nets::torch_modules::LSTMwRecDropoutImpl
 An LSTM implementation that supports recurrent dropout. More...
 
class  deeplima::nets::torch_modules::PackedLSTMImpl
 
class  deeplima::nets::torch_modules::HighwayLSTMImpl
 Highway LSTM network, does NOT use the HLSTMCell above A Highway LSTM network, as used in the original Tensorflow version of the Dozat parser. More...
 
class  deeplima::nets::torch_modules::PairwiseBilinearImpl
 A bilinear module that deals with broadcasting for efficient memory usage. More...
 
class  deeplima::nets::torch_modules::BiaffineScorerImpl
 
class  deeplima::nets::torch_modules::PairwiseBiaffineScorerImpl
 
class  deeplima::nets::torch_modules::DeepBiaffineScorerImpl
 
class  deeplima::nets::torch_modules::StanzaDepparseParserImpl
 

Namespaces

namespace  deeplima
 
namespace  deeplima::nets
 
namespace  deeplima::nets::torch_modules
 

Functions

 deeplima::nets::torch_modules::TORCH_MODULE (WordDropout)
 
 deeplima::nets::torch_modules::TORCH_MODULE (LSTMwRecDropout)
 
 deeplima::nets::torch_modules::TORCH_MODULE (PackedLSTM)
 
 deeplima::nets::torch_modules::TORCH_MODULE (HighwayLSTM)
 
 deeplima::nets::torch_modules::TORCH_MODULE (PairwiseBilinear)
 
 deeplima::nets::torch_modules::TORCH_MODULE (BiaffineScorer)
 
 deeplima::nets::torch_modules::TORCH_MODULE (PairwiseBiaffineScorer)
 
 deeplima::nets::torch_modules::TORCH_MODULE (DeepBiaffineScorer)
 
 deeplima::nets::torch_modules::TORCH_MODULE (StanzaDepparseParser)