LostTech.TensorFlow : API Documentation

Type CuDNNGRU

Namespace tensorflow.keras.layers

Parent _CuDNNRNN

Interfaces ICuDNNGRU

Fast GRU implementation backed by cuDNN.

More information about cuDNN can be found on the [NVIDIA developer website](https://developer.nvidia.com/cudnn). Can only be run on GPU.

Methods

Properties

Public static methods

CuDNNGRU NewDyn(object units, ImplicitContainer<T> kernel_initializer, ImplicitContainer<T> recurrent_initializer, ImplicitContainer<T> bias_initializer, object kernel_regularizer, object recurrent_regularizer, object bias_regularizer, object activity_regularizer, object kernel_constraint, object recurrent_constraint, object bias_constraint, ImplicitContainer<T> return_sequences, ImplicitContainer<T> return_state, ImplicitContainer<T> go_backwards, ImplicitContainer<T> stateful, IDictionary<string, object> kwargs)

Public properties

object activity_regularizer get; set;

Optional regularizer function for the output of this layer.

object activity_regularizer_dyn get; set;

object bias get; set;

object bias_constraint get; set;

object bias_initializer get; set;

object bias_regularizer get; set;

bool built get; set;

ValueTuple<object> cell get;

object cell_dyn get;

object constants_spec get; set;

object dtype get;

object dtype_dyn get;

bool dynamic get;

object dynamic_dyn get;

bool go_backwards get; set;

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;

IList<InputSpec> input_spec get; set;

object input_spec_dyn get; set;

object kernel get; set;

object kernel_constraint get; set;

object kernel_initializer get; set;

object kernel_regularizer 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 PythonObject get;

object recurrent_constraint get; set;

object recurrent_initializer get; set;

object recurrent_kernel get; set;

object recurrent_regularizer get; set;

bool return_sequences get; set;

bool return_state get; set;

IList<InputSpec> state_spec get; set;

bool stateful get; set;

object states get; set;

object states_dyn get; set;

ValueTuple<object> submodules get;

object submodules_dyn get;

bool supports_masking get; set;

bool time_major 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;

int units get; set;

bool unroll get; set;

IList<object> updates get;

object updates_dyn get;

object variables get;

object variables_dyn get;

IList<object> weights get;

object weights_dyn get;

object zero_output_for_mask get; set;