LostTech.TensorFlow : API Documentation

Type LSTMBlockWrapper

Namespace tensorflow.contrib.rnn

Parent Layer

Interfaces ILSTMBlockWrapper

This is a helper class that provides housekeeping for LSTM cells.

This may be useful for alternative LSTM and similar type of cells. The subclasses must implement `_call_cell` method and `num_units` property.

Methods

Properties

Public instance methods

Tensor call(IEnumerable<IGraphNodeBase> inputs, IEnumerable<IGraphNodeBase> initial_state, IEnumerable<PythonClassContainer> dtype, object sequence_length)

Tensor call(IGraphNodeBase inputs, object initial_state, int dtype, object sequence_length)

Tensor call(IGraphNodeBase inputs, object initial_state, IndexedSlices dtype, object sequence_length)

Tensor call(IGraphNodeBase inputs, object initial_state, IEnumerable<PythonClassContainer> dtype, object sequence_length)

Tensor call(IGraphNodeBase inputs, PythonClassContainer initial_state, PythonClassContainer dtype, object sequence_length)

Tensor call(IGraphNodeBase inputs, PythonClassContainer initial_state, IGraphNodeBase dtype, object sequence_length)

Tensor call(IGraphNodeBase inputs, PythonClassContainer initial_state, int dtype, object sequence_length)

Tensor call(IGraphNodeBase inputs, PythonClassContainer initial_state, IndexedSlices dtype, object sequence_length)

Tensor call(IGraphNodeBase inputs, PythonClassContainer initial_state, IEnumerable<PythonClassContainer> dtype, object sequence_length)

Tensor call(IGraphNodeBase inputs, IEnumerable<IGraphNodeBase> initial_state, PythonClassContainer dtype, object sequence_length)

Tensor call(IGraphNodeBase inputs, IEnumerable<IGraphNodeBase> initial_state, int dtype, object sequence_length)

Tensor call(IGraphNodeBase inputs, IEnumerable<IGraphNodeBase> initial_state, IndexedSlices dtype, object sequence_length)

Tensor call(IGraphNodeBase inputs, IEnumerable<IGraphNodeBase> initial_state, IEnumerable<PythonClassContainer> dtype, object sequence_length)

Tensor call(IEnumerable<IGraphNodeBase> inputs, object initial_state, PythonClassContainer dtype, object sequence_length)

Tensor call(IEnumerable<IGraphNodeBase> inputs, object initial_state, IGraphNodeBase dtype, object sequence_length)

Tensor call(IEnumerable<IGraphNodeBase> inputs, object initial_state, int dtype, object sequence_length)

Tensor call(IEnumerable<IGraphNodeBase> inputs, object initial_state, IndexedSlices dtype, object sequence_length)

Tensor call(IEnumerable<IGraphNodeBase> inputs, object initial_state, IEnumerable<PythonClassContainer> dtype, object sequence_length)

Tensor call(IEnumerable<IGraphNodeBase> inputs, PythonClassContainer initial_state, PythonClassContainer dtype, object sequence_length)

Tensor call(IEnumerable<IGraphNodeBase> inputs, PythonClassContainer initial_state, IGraphNodeBase dtype, object sequence_length)

Tensor call(IEnumerable<IGraphNodeBase> inputs, PythonClassContainer initial_state, int dtype, object sequence_length)

Tensor call(IEnumerable<IGraphNodeBase> inputs, PythonClassContainer initial_state, IndexedSlices dtype, object sequence_length)

Tensor call(IEnumerable<IGraphNodeBase> inputs, PythonClassContainer initial_state, IEnumerable<PythonClassContainer> dtype, object sequence_length)

Tensor call(IEnumerable<IGraphNodeBase> inputs, IEnumerable<IGraphNodeBase> initial_state, PythonClassContainer dtype, object sequence_length)

Tensor call(IEnumerable<IGraphNodeBase> inputs, IEnumerable<IGraphNodeBase> initial_state, int dtype, object sequence_length)

Tensor call(IEnumerable<IGraphNodeBase> inputs, IEnumerable<IGraphNodeBase> initial_state, IndexedSlices dtype, object sequence_length)

Tensor call(IGraphNodeBase inputs, object initial_state, IGraphNodeBase dtype, object sequence_length)

Tensor call(IGraphNodeBase inputs, object initial_state, PythonClassContainer dtype, object sequence_length)

Public properties

PythonFunctionContainer activity_regularizer get; set;

object activity_regularizer_dyn get; set;

bool built get; set;

object dtype get;

object dtype_dyn get;

bool dynamic get;

object dynamic_dyn get;

object graph get;

object graph_dyn get;

IList<Node> inbound_nodes get;

object inbound_nodes_dyn get;

IList<object> input get;

object input_dyn get;

object input_mask get;

object input_mask_dyn get;

IList<object> input_shape get;

object input_shape_dyn get;

object input_spec get; set;

object input_spec_dyn get; set;

IList<object> losses get;

object losses_dyn get;

IList<object> metrics get;

object metrics_dyn get;

object name get;

object name_dyn get;

object name_scope get;

object name_scope_dyn get;

IList<object> non_trainable_variables get;

object non_trainable_variables_dyn get;

IList<object> non_trainable_weights get;

object non_trainable_weights_dyn get;

int num_units get;

Number of units in this cell (output dimension).

object num_units_dyn get;

Number of units in this cell (output dimension).

IList<object> outbound_nodes get;

object outbound_nodes_dyn get;

IList<object> output get;

object output_dyn get;

object output_mask get;

object output_mask_dyn get;

object output_shape get;

object output_shape_dyn get;

object PythonObject get;

string scope_name get;

object scope_name_dyn get;

bool stateful get; set;

ValueTuple<object> submodules get;

object submodules_dyn get;

bool supports_masking get; set;

bool trainable get; set;

object trainable_dyn get; set;

object trainable_variables get;

object trainable_variables_dyn get;

IList<object> trainable_weights get;

object trainable_weights_dyn get;

IList<object> updates get;

object updates_dyn get;

object variables get;

object variables_dyn get;

IList<object> weights get;

object weights_dyn get;