LostTech.TensorFlow : API Documentation

Type legacy_seq2seq

Namespace tensorflow.contrib.legacy_seq2seq

Methods

Properties

Public static methods

ValueTuple<IList<Tensor>, object> attention_decoder(IEnumerable<IGraphNodeBase> decoder_inputs, object initial_state, IGraphNodeBase attention_states, RNNCell cell, int output_size, int num_heads, object loop_function, DType dtype, VariableScope scope, bool initial_state_attention)

ValueTuple<IList<Tensor>, object> attention_decoder(IEnumerable<IGraphNodeBase> decoder_inputs, object initial_state, IGraphNodeBase attention_states, RNNCell cell, TensorShape output_size, int num_heads, object loop_function, DType dtype, VariableScope scope, bool initial_state_attention)

ValueTuple<IList<Tensor>, object> attention_decoder(IEnumerable<IGraphNodeBase> decoder_inputs, IGraphNodeBase initial_state, IGraphNodeBase attention_states, RNNCell cell, int output_size, int num_heads, object loop_function, DType dtype, VariableScope scope, bool initial_state_attention)

ValueTuple<IList<Tensor>, object> attention_decoder(IEnumerable<IGraphNodeBase> decoder_inputs, IGraphNodeBase initial_state, IGraphNodeBase attention_states, RNNCell cell, TensorShape output_size, int num_heads, object loop_function, DType dtype, VariableScope scope, bool initial_state_attention)

ValueTuple<IList<Tensor>, object> attention_decoder(IEnumerable<IGraphNodeBase> decoder_inputs, string initial_state, IGraphNodeBase attention_states, RNNCell cell, TensorShape output_size, int num_heads, object loop_function, DType dtype, VariableScope scope, bool initial_state_attention)

ValueTuple<IList<Tensor>, object> attention_decoder(IEnumerable<IGraphNodeBase> decoder_inputs, string initial_state, IGraphNodeBase attention_states, RNNCell cell, int output_size, int num_heads, object loop_function, DType dtype, VariableScope scope, bool initial_state_attention)

ValueTuple<IList<Tensor>, object> attention_decoder(IEnumerable<IGraphNodeBase> decoder_inputs, IEnumerable<object> initial_state, IGraphNodeBase attention_states, RNNCell cell, TensorShape output_size, int num_heads, object loop_function, DType dtype, VariableScope scope, bool initial_state_attention)

ValueTuple<IList<Tensor>, object> attention_decoder(IEnumerable<IGraphNodeBase> decoder_inputs, IEnumerable<object> initial_state, IGraphNodeBase attention_states, RNNCell cell, int output_size, int num_heads, object loop_function, DType dtype, VariableScope scope, bool initial_state_attention)

ValueTuple<IList<Tensor>, object> attention_decoder(IEnumerable<IGraphNodeBase> decoder_inputs, AttentionWrapperState initial_state, IGraphNodeBase attention_states, RNNCell cell, TensorShape output_size, int num_heads, object loop_function, DType dtype, VariableScope scope, bool initial_state_attention)

ValueTuple<IList<Tensor>, object> attention_decoder(IEnumerable<IGraphNodeBase> decoder_inputs, AttentionWrapperState initial_state, IGraphNodeBase attention_states, RNNCell cell, int output_size, int num_heads, object loop_function, DType dtype, VariableScope scope, bool initial_state_attention)

object attention_decoder_dyn(object decoder_inputs, object initial_state, object attention_states, object cell, object output_size, ImplicitContainer<T> num_heads, object loop_function, object dtype, object scope, ImplicitContainer<T> initial_state_attention)

object basic_rnn_seq2seq(IEnumerable<IGraphNodeBase> encoder_inputs, IEnumerable<IGraphNodeBase> decoder_inputs, OutputProjectionWrapper cell, ImplicitContainer<T> dtype, object scope)

object basic_rnn_seq2seq_dyn(object encoder_inputs, object decoder_inputs, object cell, ImplicitContainer<T> dtype, object scope)

ValueTuple<IList<Tensor>, object> embedding_attention_decoder(IEnumerable<IGraphNodeBase> decoder_inputs, object initial_state, IGraphNodeBase attention_states, RNNCell cell, int num_symbols, int embedding_size, int num_heads, Nullable<int> output_size, Nullable<ValueTuple<object, object>> output_projection, bool feed_previous, bool update_embedding_for_previous, DType dtype, object scope, bool initial_state_attention)

ValueTuple<IList<Tensor>, object> embedding_attention_decoder(IEnumerable<IGraphNodeBase> decoder_inputs, IGraphNodeBase initial_state, IGraphNodeBase attention_states, RNNCell cell, int num_symbols, int embedding_size, int num_heads, Nullable<int> output_size, Nullable<ValueTuple<object, object>> output_projection, bool feed_previous, bool update_embedding_for_previous, DType dtype, object scope, bool initial_state_attention)

ValueTuple<IList<Tensor>, object> embedding_attention_decoder(IEnumerable<IGraphNodeBase> decoder_inputs, IEnumerable<object> initial_state, IGraphNodeBase attention_states, RNNCell cell, int num_symbols, int embedding_size, int num_heads, Nullable<int> output_size, Nullable<ValueTuple<object, object>> output_projection, bool feed_previous, bool update_embedding_for_previous, DType dtype, object scope, bool initial_state_attention)

ValueTuple<IList<Tensor>, object> embedding_attention_decoder(IEnumerable<IGraphNodeBase> decoder_inputs, AttentionWrapperState initial_state, IGraphNodeBase attention_states, RNNCell cell, int num_symbols, int embedding_size, int num_heads, Nullable<int> output_size, Nullable<ValueTuple<object, object>> output_projection, bool feed_previous, bool update_embedding_for_previous, DType dtype, object scope, bool initial_state_attention)

ValueTuple<IList<Tensor>, object> embedding_attention_decoder(IEnumerable<IGraphNodeBase> decoder_inputs, string initial_state, IGraphNodeBase attention_states, RNNCell cell, int num_symbols, int embedding_size, int num_heads, Nullable<int> output_size, Nullable<ValueTuple<object, object>> output_projection, bool feed_previous, bool update_embedding_for_previous, DType dtype, object scope, bool initial_state_attention)

object embedding_attention_decoder_dyn(object decoder_inputs, object initial_state, object attention_states, object cell, object num_symbols, object embedding_size, ImplicitContainer<T> num_heads, object output_size, object output_projection, ImplicitContainer<T> feed_previous, ImplicitContainer<T> update_embedding_for_previous, object dtype, object scope, ImplicitContainer<T> initial_state_attention)

ValueTuple<IList<Tensor>, object> embedding_attention_seq2seq(IEnumerable<IGraphNodeBase> encoder_inputs, IEnumerable<IGraphNodeBase> decoder_inputs, RNNCell cell, int num_encoder_symbols, int num_decoder_symbols, int embedding_size, int num_heads, Nullable<ValueTuple<object, object>> output_projection, bool feed_previous, DType dtype, VariableScope scope, bool initial_state_attention)

object embedding_attention_seq2seq_dyn(object encoder_inputs, object decoder_inputs, object cell, object num_encoder_symbols, object num_decoder_symbols, object embedding_size, ImplicitContainer<T> num_heads, object output_projection, ImplicitContainer<T> feed_previous, object dtype, object scope, ImplicitContainer<T> initial_state_attention)

object embedding_rnn_decoder(IEnumerable<IGraphNodeBase> decoder_inputs, AttentionWrapperState initial_state, RNNCell cell, int num_symbols, int embedding_size, Nullable<ValueTuple<object, object>> output_projection, bool feed_previous, bool update_embedding_for_previous, object scope)

object embedding_rnn_decoder(IEnumerable<IGraphNodeBase> decoder_inputs, string initial_state, RNNCell cell, int num_symbols, int embedding_size, Nullable<ValueTuple<object, object>> output_projection, bool feed_previous, bool update_embedding_for_previous, object scope)

object embedding_rnn_decoder(IEnumerable<IGraphNodeBase> decoder_inputs, object initial_state, RNNCell cell, int num_symbols, int embedding_size, Nullable<ValueTuple<object, object>> output_projection, bool feed_previous, bool update_embedding_for_previous, object scope)

object embedding_rnn_decoder(IEnumerable<IGraphNodeBase> decoder_inputs, IEnumerable<object> initial_state, RNNCell cell, int num_symbols, int embedding_size, Nullable<ValueTuple<object, object>> output_projection, bool feed_previous, bool update_embedding_for_previous, object scope)

object embedding_rnn_decoder(IEnumerable<IGraphNodeBase> decoder_inputs, IGraphNodeBase initial_state, RNNCell cell, int num_symbols, int embedding_size, Nullable<ValueTuple<object, object>> output_projection, bool feed_previous, bool update_embedding_for_previous, object scope)

object embedding_rnn_decoder_dyn(object decoder_inputs, object initial_state, object cell, object num_symbols, object embedding_size, object output_projection, ImplicitContainer<T> feed_previous, ImplicitContainer<T> update_embedding_for_previous, object scope)

object embedding_rnn_seq2seq(IEnumerable<IGraphNodeBase> encoder_inputs, IEnumerable<IGraphNodeBase> decoder_inputs, RNNCell cell, int num_encoder_symbols, int num_decoder_symbols, int embedding_size, Nullable<ValueTuple<object, object>> output_projection, IGraphNodeBase feed_previous, DType dtype, VariableScope scope)

object embedding_rnn_seq2seq(IEnumerable<IGraphNodeBase> encoder_inputs, IEnumerable<IGraphNodeBase> decoder_inputs, RNNCell cell, int num_encoder_symbols, int num_decoder_symbols, int embedding_size, Nullable<ValueTuple<object, object>> output_projection, bool feed_previous, DType dtype, VariableScope scope)

object embedding_rnn_seq2seq_dyn(object encoder_inputs, object decoder_inputs, object cell, object num_encoder_symbols, object num_decoder_symbols, object embedding_size, object output_projection, ImplicitContainer<T> feed_previous, object dtype, object scope)

object embedding_tied_rnn_seq2seq(IEnumerable<IGraphNodeBase> encoder_inputs, IEnumerable<IGraphNodeBase> decoder_inputs, RNNCell cell, int num_symbols, int embedding_size, Nullable<int> num_decoder_symbols, Nullable<ValueTuple<object, object>> output_projection, IGraphNodeBase feed_previous, DType dtype, VariableScope scope)

object embedding_tied_rnn_seq2seq(IEnumerable<IGraphNodeBase> encoder_inputs, IEnumerable<IGraphNodeBase> decoder_inputs, RNNCell cell, int num_symbols, int embedding_size, Nullable<int> num_decoder_symbols, Nullable<ValueTuple<object, object>> output_projection, bool feed_previous, DType dtype, VariableScope scope)

object embedding_tied_rnn_seq2seq_dyn(object encoder_inputs, object decoder_inputs, object cell, object num_symbols, object embedding_size, object num_decoder_symbols, object output_projection, ImplicitContainer<T> feed_previous, object dtype, object scope)

ValueTuple<IList<object>, object> model_with_buckets(IEnumerable<IGraphNodeBase> encoder_inputs, IEnumerable<IGraphNodeBase> decoder_inputs, IEnumerable<object> targets, IEnumerable<IGraphNodeBase> weights, IEnumerable<ValueTuple<int, object>> buckets, object seq2seq, object softmax_loss_function, bool per_example_loss, string name)

object model_with_buckets_dyn(object encoder_inputs, object decoder_inputs, object targets, object weights, object buckets, object seq2seq, object softmax_loss_function, ImplicitContainer<T> per_example_loss, object name)

ValueTuple<IDictionary<string, object>, object> one2many_rnn_seq2seq(IEnumerable<IGraphNodeBase> encoder_inputs, IDictionary<string, IEnumerable<IGraphNodeBase>> decoder_inputs_dict, EmbeddingWrapper enc_cell, object dec_cells_dict, int num_encoder_symbols, IDictionary<string, int> num_decoder_symbols_dict, int embedding_size, bool feed_previous, DType dtype, VariableScope scope)

ValueTuple<IDictionary<string, object>, object> one2many_rnn_seq2seq(IEnumerable<IGraphNodeBase> encoder_inputs, IDictionary<string, IEnumerable<IGraphNodeBase>> decoder_inputs_dict, EmbeddingWrapper enc_cell, object dec_cells_dict, int num_encoder_symbols, IDictionary<string, int> num_decoder_symbols_dict, int embedding_size, IGraphNodeBase feed_previous, DType dtype, VariableScope scope)

object one2many_rnn_seq2seq_dyn(object encoder_inputs, object decoder_inputs_dict, object enc_cell, object dec_cells_dict, object num_encoder_symbols, object num_decoder_symbols_dict, object embedding_size, ImplicitContainer<T> feed_previous, object dtype, object scope)

object rnn_decoder(IEnumerable<IGraphNodeBase> decoder_inputs, AttentionWrapperState initial_state, RNNCell cell, object loop_function, string scope)

object rnn_decoder(IEnumerator<IGraphNodeBase> decoder_inputs, string initial_state, RNNCell cell, object loop_function, string scope)

object rnn_decoder(IEnumerator<IGraphNodeBase> decoder_inputs, object initial_state, RNNCell cell, object loop_function, string scope)

object rnn_decoder(IEnumerator<IGraphNodeBase> decoder_inputs, IGraphNodeBase initial_state, RNNCell cell, object loop_function, string scope)

object rnn_decoder(IEnumerator<IGraphNodeBase> decoder_inputs, AttentionWrapperState initial_state, RNNCell cell, object loop_function, string scope)

object rnn_decoder(IEnumerator<IGraphNodeBase> decoder_inputs, IEnumerable<object> initial_state, RNNCell cell, object loop_function, string scope)

object rnn_decoder(IEnumerable<IGraphNodeBase> decoder_inputs, string initial_state, RNNCell cell, object loop_function, string scope)

object rnn_decoder(IEnumerable<IGraphNodeBase> decoder_inputs, object initial_state, RNNCell cell, object loop_function, string scope)

object rnn_decoder(IEnumerable<IGraphNodeBase> decoder_inputs, IGraphNodeBase initial_state, RNNCell cell, object loop_function, string scope)

object rnn_decoder(IEnumerable<IGraphNodeBase> decoder_inputs, IEnumerable<object> initial_state, RNNCell cell, object loop_function, string scope)

object rnn_decoder_dyn(object decoder_inputs, object initial_state, object cell, object loop_function, object scope)

Tensor sequence_loss(IEnumerable<IGraphNodeBase> logits, IEnumerable<IGraphNodeBase> targets, IEnumerable<IGraphNodeBase> weights, bool average_across_timesteps, bool average_across_batch, object softmax_loss_function, string name)

Tensor sequence_loss_by_example(IEnumerable<IGraphNodeBase> logits, IEnumerable<IGraphNodeBase> targets, IEnumerable<IGraphNodeBase> weights, bool average_across_timesteps, object softmax_loss_function, string name)

object sequence_loss_by_example_dyn(object logits, object targets, object weights, ImplicitContainer<T> average_across_timesteps, object softmax_loss_function, object name)

object sequence_loss_dyn(object logits, object targets, object weights, ImplicitContainer<T> average_across_timesteps, ImplicitContainer<T> average_across_batch, object softmax_loss_function, object name)

object tied_rnn_seq2seq(IEnumerable<IGraphNodeBase> encoder_inputs, IEnumerable<IGraphNodeBase> decoder_inputs, RNNCell cell, object loop_function, ImplicitContainer<T> dtype, object scope)

object tied_rnn_seq2seq_dyn(object encoder_inputs, object decoder_inputs, object cell, object loop_function, ImplicitContainer<T> dtype, object scope)

Public properties

PythonFunctionContainer attention_decoder_fn get;

PythonFunctionContainer basic_rnn_seq2seq_fn get;

PythonFunctionContainer embedding_attention_decoder_fn get;

PythonFunctionContainer embedding_attention_seq2seq_fn get;

PythonFunctionContainer embedding_rnn_decoder_fn get;

PythonFunctionContainer embedding_rnn_seq2seq_fn get;

PythonFunctionContainer embedding_tied_rnn_seq2seq_fn get;

PythonFunctionContainer model_with_buckets_fn get;

PythonFunctionContainer one2many_rnn_seq2seq_fn get;

PythonFunctionContainer rnn_decoder_fn get;

PythonFunctionContainer sequence_loss_by_example_fn get;

PythonFunctionContainer sequence_loss_fn get;

PythonFunctionContainer tied_rnn_seq2seq_fn get;