LostTech.TensorFlow : API Documentation

Type seq2seq

Namespace tensorflow.contrib.seq2seq

Methods

Properties

Public static methods

ValueTuple<object, object, object> dynamic_decode(Decoder decoder, bool output_time_major, bool impute_finished, int maximum_iterations, int parallel_iterations, bool swap_memory, VariableScope scope, IDictionary<string, object> kwargs)

ValueTuple<object, object, object> dynamic_decode(BaseDecoder decoder, bool output_time_major, bool impute_finished, IGraphNodeBase maximum_iterations, int parallel_iterations, bool swap_memory, VariableScope scope, IDictionary<string, object> kwargs)

ValueTuple<object, object, object> dynamic_decode(BaseDecoder decoder, bool output_time_major, bool impute_finished, int maximum_iterations, int parallel_iterations, bool swap_memory, VariableScope scope, IDictionary<string, object> kwargs)

ValueTuple<object, object, object> dynamic_decode(BaseDecoder decoder, bool output_time_major, bool impute_finished, ndarray maximum_iterations, int parallel_iterations, bool swap_memory, VariableScope scope, IDictionary<string, object> kwargs)

ValueTuple<object, object, object> dynamic_decode(Decoder decoder, bool output_time_major, bool impute_finished, IGraphNodeBase maximum_iterations, int parallel_iterations, bool swap_memory, VariableScope scope, IDictionary<string, object> kwargs)

ValueTuple<object, object, object> dynamic_decode(object decoder, bool output_time_major, bool impute_finished, ndarray maximum_iterations, int parallel_iterations, bool swap_memory, VariableScope scope, IDictionary<string, object> kwargs)

ValueTuple<object, object, object> dynamic_decode(object decoder, bool output_time_major, bool impute_finished, int maximum_iterations, int parallel_iterations, bool swap_memory, VariableScope scope, IDictionary<string, object> kwargs)

ValueTuple<object, object, object> dynamic_decode(object decoder, bool output_time_major, bool impute_finished, IGraphNodeBase maximum_iterations, int parallel_iterations, bool swap_memory, VariableScope scope, IDictionary<string, object> kwargs)

ValueTuple<object, object, object> dynamic_decode(Decoder decoder, bool output_time_major, bool impute_finished, ndarray maximum_iterations, int parallel_iterations, bool swap_memory, VariableScope scope, IDictionary<string, object> kwargs)

object dynamic_decode_dyn(object decoder, ImplicitContainer<T> output_time_major, ImplicitContainer<T> impute_finished, object maximum_iterations, ImplicitContainer<T> parallel_iterations, ImplicitContainer<T> swap_memory, object scope, IDictionary<string, object> kwargs)

Tensor hardmax(object logits, string name)

object hardmax_dyn(object logits, object name)

object monotonic_attention(IGraphNodeBase p_choose_i, IGraphNodeBase previous_attention, string mode)

object monotonic_attention(int p_choose_i, IGraphNodeBase previous_attention, string mode)

object monotonic_attention(int p_choose_i, ndarray previous_attention, string mode)

object monotonic_attention(IndexedSlices p_choose_i, IGraphNodeBase previous_attention, string mode)

object monotonic_attention(IndexedSlices p_choose_i, ndarray previous_attention, string mode)

object monotonic_attention(ValueTuple<PythonClassContainer, PythonClassContainer> p_choose_i, IGraphNodeBase previous_attention, string mode)

object monotonic_attention(ValueTuple<PythonClassContainer, PythonClassContainer> p_choose_i, ndarray previous_attention, string mode)

object monotonic_attention(IGraphNodeBase p_choose_i, ndarray previous_attention, string mode)

object monotonic_attention_dyn(object p_choose_i, object previous_attention, object mode)

object safe_cumprod(int x, Object[] args)

object safe_cumprod(int x, IDictionary<string, object> kwargs, Object[] args)

object safe_cumprod_dyn(object x, Object[] args)

object safe_cumprod_dyn(object x, IDictionary<string, object> kwargs, Object[] args)

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

Tensor sequence_loss(object logits, object targets, IGraphNodeBase weights, bool average_across_timesteps, bool average_across_batch, bool sum_over_timesteps, bool sum_over_batch, object softmax_loss_function, string name)

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

object tile_batch(string t, int multiplier, string name)

object tile_batch(object t, int multiplier, string name)

object tile_batch(IGraphNodeBase t, int multiplier, string name)

object tile_batch(IEnumerable<object> t, int multiplier, string name)

object tile_batch(ndarray t, int multiplier, string name)

object tile_batch(AttentionWrapperState t, int multiplier, string name)

object tile_batch_dyn(object t, object multiplier, object name)

Public properties

PythonFunctionContainer _BaseAttentionMechanism_fn get;

PythonFunctionContainer _BaseAttentionMechanismV2_fn get;

PythonFunctionContainer _BaseMonotonicAttentionMechanism_fn get;

PythonFunctionContainer _BaseMonotonicAttentionMechanismV2_fn get;

PythonFunctionContainer AttentionMechanism_fn get;

PythonFunctionContainer AttentionWrapper_fn get;

PythonFunctionContainer AttentionWrapperState_fn get;

PythonFunctionContainer BahdanauAttention_fn get;

PythonFunctionContainer BahdanauAttentionV2_fn get;

PythonFunctionContainer BahdanauMonotonicAttention_fn get;

PythonFunctionContainer BahdanauMonotonicAttentionV2_fn get;

PythonFunctionContainer BaseDecoder_fn get;

PythonFunctionContainer BasicDecoder_fn get;

PythonFunctionContainer BasicDecoderOutput_fn get;

PythonFunctionContainer BasicDecoderV2_fn get;

PythonFunctionContainer BeamSearchDecoder_fn get;

PythonFunctionContainer BeamSearchDecoderMixin_fn get;

PythonFunctionContainer BeamSearchDecoderOutput_fn get;

PythonFunctionContainer BeamSearchDecoderState_fn get;

PythonFunctionContainer BeamSearchDecoderV2_fn get;

PythonFunctionContainer CustomHelper_fn get;

PythonFunctionContainer Decoder_fn get;

PythonFunctionContainer dynamic_decode_fn get;

PythonFunctionContainer FinalBeamSearchDecoderOutput_fn get;

PythonFunctionContainer GreedyEmbeddingHelper_fn get;

PythonFunctionContainer hardmax_fn get;

PythonFunctionContainer Helper_fn get;

PythonFunctionContainer InferenceHelper_fn get;

PythonFunctionContainer LuongAttention_fn get;

PythonFunctionContainer LuongAttentionV2_fn get;

PythonFunctionContainer LuongMonotonicAttention_fn get;

PythonFunctionContainer LuongMonotonicAttentionV2_fn get;

PythonFunctionContainer monotonic_attention_fn get;

PythonFunctionContainer safe_cumprod_fn get;

PythonFunctionContainer SampleEmbeddingHelper_fn get;

PythonFunctionContainer ScheduledEmbeddingTrainingHelper_fn get;

PythonFunctionContainer ScheduledOutputTrainingHelper_fn get;

PythonFunctionContainer sequence_loss_fn get;

PythonFunctionContainer SequenceLoss_fn get;

PythonFunctionContainer tile_batch_fn get;

PythonFunctionContainer TrainingHelper_fn get;