LostTech.TensorFlow : API Documentation

Type StackedRNNCells

Namespace tensorflow.keras.layers

Parent Layer

Interfaces IStackedRNNCells

Wrapper allowing a stack of RNN cells to behave as a single cell.

Used to implement efficient stacked RNNs.

Methods

Properties

Public instance methods

Tensor call(IGraphNodeBase inputs, PythonClassContainer states, IGraphNodeBase constants, IDictionary<string, object> kwargs)

Tensor call(IGraphNodeBase inputs, PythonClassContainer states, IEnumerable<PythonClassContainer> constants, IDictionary<string, object> kwargs)

Tensor call(IGraphNodeBase inputs, IEnumerable<IGraphNodeBase> states, PythonClassContainer constants, IDictionary<string, object> kwargs)

Tensor call(IGraphNodeBase inputs, IEnumerable<IGraphNodeBase> states, IGraphNodeBase constants, IDictionary<string, object> kwargs)

Tensor call(IGraphNodeBase inputs, IEnumerable<IGraphNodeBase> states, int constants, IDictionary<string, object> kwargs)

Tensor call(IGraphNodeBase inputs, IEnumerable<IGraphNodeBase> states, IndexedSlices constants, IDictionary<string, object> kwargs)

Tensor call(IGraphNodeBase inputs, IEnumerable<IGraphNodeBase> states, IEnumerable<PythonClassContainer> constants, IDictionary<string, object> kwargs)

Tensor call(IEnumerable<IGraphNodeBase> inputs, object states, PythonClassContainer constants, IDictionary<string, object> kwargs)

Tensor call(IEnumerable<IGraphNodeBase> inputs, object states, IGraphNodeBase constants, IDictionary<string, object> kwargs)

Tensor call(IEnumerable<IGraphNodeBase> inputs, object states, int constants, IDictionary<string, object> kwargs)

Tensor call(IEnumerable<IGraphNodeBase> inputs, object states, IndexedSlices constants, IDictionary<string, object> kwargs)

Tensor call(IEnumerable<IGraphNodeBase> inputs, object states, IEnumerable<PythonClassContainer> constants, IDictionary<string, object> kwargs)

Tensor call(IEnumerable<IGraphNodeBase> inputs, PythonClassContainer states, PythonClassContainer constants, IDictionary<string, object> kwargs)

Tensor call(IEnumerable<IGraphNodeBase> inputs, PythonClassContainer states, IGraphNodeBase constants, IDictionary<string, object> kwargs)

Tensor call(IGraphNodeBase inputs, PythonClassContainer states, IndexedSlices constants, IDictionary<string, object> kwargs)

Tensor call(IEnumerable<IGraphNodeBase> inputs, PythonClassContainer states, int constants, IDictionary<string, object> kwargs)

Tensor call(IEnumerable<IGraphNodeBase> inputs, PythonClassContainer states, IEnumerable<PythonClassContainer> constants, IDictionary<string, object> kwargs)

Tensor call(IEnumerable<IGraphNodeBase> inputs, IEnumerable<IGraphNodeBase> states, PythonClassContainer constants, IDictionary<string, object> kwargs)

Tensor call(IEnumerable<IGraphNodeBase> inputs, IEnumerable<IGraphNodeBase> states, IGraphNodeBase constants, IDictionary<string, object> kwargs)

Tensor call(IEnumerable<IGraphNodeBase> inputs, IEnumerable<IGraphNodeBase> states, int constants, IDictionary<string, object> kwargs)

Tensor call(IEnumerable<IGraphNodeBase> inputs, IEnumerable<IGraphNodeBase> states, IndexedSlices constants, IDictionary<string, object> kwargs)

Tensor call(IEnumerable<IGraphNodeBase> inputs, IEnumerable<IGraphNodeBase> states, IEnumerable<PythonClassContainer> constants, IDictionary<string, object> kwargs)

Tensor call(IGraphNodeBase inputs, object states, PythonClassContainer constants, IDictionary<string, object> kwargs)

Tensor call(IGraphNodeBase inputs, object states, IGraphNodeBase constants, IDictionary<string, object> kwargs)

Tensor call(IGraphNodeBase inputs, object states, int constants, IDictionary<string, object> kwargs)

Tensor call(IGraphNodeBase inputs, object states, IndexedSlices constants, IDictionary<string, object> kwargs)

Tensor call(IGraphNodeBase inputs, object states, IEnumerable<PythonClassContainer> constants, IDictionary<string, object> kwargs)

Tensor call(IGraphNodeBase inputs, PythonClassContainer states, PythonClassContainer constants, IDictionary<string, object> kwargs)

Tensor call(IEnumerable<IGraphNodeBase> inputs, PythonClassContainer states, IndexedSlices constants, IDictionary<string, object> kwargs)

Tensor call(IGraphNodeBase inputs, PythonClassContainer states, int constants, IDictionary<string, object> kwargs)

object call_dyn(object inputs, object states, object constants, IDictionary<string, object> kwargs)

Public properties

PythonFunctionContainer activity_regularizer get; set;

object activity_regularizer_dyn get; set;

bool built get; set;

object cells get; set;

object dtype get;

object dtype_dyn get;

bool dynamic get;

object dynamic_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;

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 output_size get;

object output_size_dyn get;

object PythonObject get;

bool reverse_state_order get; set;

object state_size get;

object state_size_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;