LostTech.TensorFlow : API Documentation

Type rnn_ptb

Namespace tensorflow.contrib.eager.python.examples.rnn_ptb.rnn_ptb

Methods

Properties

Public static methods

object clip_gradients(IEnumerable<ValueTuple<object, object>> grads_and_vars, double clip_ratio)

object clip_gradients_dyn(object grads_and_vars, object clip_ratio)

double evaluate(PTBModel model, object data)

PTBModel large_model(bool use_cudnn_rnn)

object large_model_dyn(object use_cudnn_rnn)

PythonFunctionContainer loss_fn(PTBModel model, IGraphNodeBase inputs, IGraphNodeBase targets, bool training)

object loss_fn_dyn(object model, object inputs, object targets, object training)

PTBModel small_model(bool use_cudnn_rnn)

object small_model_dyn(object use_cudnn_rnn)

PTBModel test_model(bool use_cudnn_rnn)

PTBModel test_model(int use_cudnn_rnn)

object test_model_dyn(object use_cudnn_rnn)

void train(PTBModel model, GradientDescentOptimizer optimizer, ndarray train_data, int sequence_length, double clip_ratio)

Public properties

PythonFunctionContainer clip_gradients_fn get;

PythonFunctionContainer Datasets_fn get;

PythonFunctionContainer Embedding_fn get;

PythonFunctionContainer evaluate_fn get;

PythonClassContainer FLAGS get; set;

object FLAGS_dyn get; set;

PythonFunctionContainer large_model_fn get;

PythonFunctionContainer loss_fn_fn get;

PythonClassContainer parser get; set;

object parser_dyn get; set;

PythonFunctionContainer PTBModel_fn get;

PythonFunctionContainer small_model_fn get;

PythonFunctionContainer test_model_fn get;

PythonFunctionContainer train_fn get;

IList<string> unparsed get; set;

object unparsed_dyn get; set;