LostTech.TensorFlow : API Documentation

Type Dynamics

Namespace tensorflow.contrib.eager.python.examples.l2hmc.l2hmc

Parent Model

Interfaces IDynamics

Methods

Properties

Public instance methods

ValueTuple<object, object, object, object> apply_transition(IGraphNodeBase position)

object apply_transition_dyn(object position)

Tensor grad_potential(object position, bool check_numerics)

object grad_potential_dyn(object position, ImplicitContainer<T> check_numerics)

object hamiltonian(IGraphNodeBase position, IGraphNodeBase momentum)

object hamiltonian_dyn(object position, object momentum)

object kinetic(object v)

object kinetic_dyn(object v)

object transition_kernel(IGraphNodeBase position, bool forward)

object transition_kernel_dyn(object position, ImplicitContainer<T> forward)

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;

Variable eps 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_names get; set;

IList<object> input_shape get;

object input_shape_dyn get;

IList<object> input_spec get;

object input_spec_dyn get;

object inputs get; set;

IList<Layer> layers get;

object layers_dyn get;

object loss get; set;

IList<object> loss_functions get; set;

IList<double> loss_weights get; set;

IList<object> losses get;

object losses_dyn get;

IList<object> masks get; set;

IList<object> metrics get;

object metrics_dyn get;

IList<object> metrics_names get;

object metrics_names_dyn get;

GenericNet momentum_fn get; set;

int n_steps get; set;

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;

object optimizer get; set;

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;

IList<string> output_names get; set;

object output_shape get;

object output_shape_dyn get;

object outputs get; set;

GenericNet position_fn get; set;

object potential get; set;

object predict_function get; set;

object PythonObject get;

Nullable<bool> run_eagerly get; set;

object run_eagerly_dyn get; set;

string sample_weight_mode get; set;

IList<Tensor> sample_weights get;

object sample_weights_dyn get;

IList<object> state_updates get;

object state_updates_dyn get;

bool stateful get;

object stateful_dyn get;

ValueTuple<object> submodules get;

object submodules_dyn get;

bool supports_masking get; set;

object test_function get; set;

Nullable<double> total_loss get; set;

object train_function 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> ts 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 x_dim get; set;