LostTech.TensorFlow : API Documentation

Type gen_training_ops

Namespace tensorflow.contrib.tensor_forest.hybrid.ops.gen_training_ops

Methods

Properties

Public static methods

object hard_routing_function_eager_fallback(IGraphNodeBase input_data, IGraphNodeBase tree_parameters, IGraphNodeBase tree_biases, int max_nodes, int tree_depth, string name, Context ctx)

object hard_routing_function_eager_fallback_dyn(object input_data, object tree_parameters, object tree_biases, object max_nodes, object tree_depth, object name, object ctx)

object HardRoutingFunction(object input_data, object tree_parameters, object tree_biases, object max_nodes, object tree_depth, string name)

object HardRoutingFunction_dyn(object input_data, object tree_parameters, object tree_biases, object max_nodes, object tree_depth, object name)

object k_feature_gradient_eager_fallback(IGraphNodeBase input_data, IGraphNodeBase tree_parameters, IGraphNodeBase tree_biases, IGraphNodeBase routes, int layer_num, int random_seed, string name, Context ctx)

object k_feature_gradient_eager_fallback_dyn(object input_data, object tree_parameters, object tree_biases, object routes, object layer_num, object random_seed, object name, object ctx)

object k_feature_routing_function_eager_fallback(IGraphNodeBase input_data, IGraphNodeBase tree_parameters, IGraphNodeBase tree_biases, int layer_num, int max_nodes, int num_features_per_node, int random_seed, string name, Context ctx)

object k_feature_routing_function_eager_fallback_dyn(object input_data, object tree_parameters, object tree_biases, object layer_num, object max_nodes, object num_features_per_node, object random_seed, object name, object ctx)

object KFeatureGradient(object input_data, object tree_parameters, object tree_biases, object routes, object layer_num, object random_seed, string name)

object KFeatureGradient_dyn(object input_data, object tree_parameters, object tree_biases, object routes, object layer_num, object random_seed, object name)

Tensor KFeatureRoutingFunction(object input_data, object tree_parameters, object tree_biases, object layer_num, object max_nodes, object num_features_per_node, object random_seed, string name)

object KFeatureRoutingFunction_dyn(object input_data, object tree_parameters, object tree_biases, object layer_num, object max_nodes, object num_features_per_node, object random_seed, object name)

object routing_function_eager_fallback(IGraphNodeBase input_data, IGraphNodeBase tree_parameters, IGraphNodeBase tree_biases, int max_nodes, string name, Context ctx)

object routing_function_eager_fallback_dyn(object input_data, object tree_parameters, object tree_biases, object max_nodes, object name, object ctx)

object routing_gradient_eager_fallback(IGraphNodeBase input_data, IGraphNodeBase tree_parameters, IGraphNodeBase tree_biases, IGraphNodeBase routes, int max_nodes, string name, Context ctx)

object routing_gradient_eager_fallback_dyn(object input_data, object tree_parameters, object tree_biases, object routes, object max_nodes, object name, object ctx)

Tensor RoutingFunction(object input_data, object tree_parameters, object tree_biases, object max_nodes, string name)

object RoutingFunction_dyn(object input_data, object tree_parameters, object tree_biases, object max_nodes, object name)

Tensor RoutingGradient(object input_data, object tree_parameters, object tree_biases, object routes, object max_nodes, string name)

object RoutingGradient_dyn(object input_data, object tree_parameters, object tree_biases, object routes, object max_nodes, object name)

object stochastic_hard_routing_function_eager_fallback(IGraphNodeBase input_data, IGraphNodeBase tree_parameters, IGraphNodeBase tree_biases, int tree_depth, int random_seed, string name, Context ctx)

object stochastic_hard_routing_function_eager_fallback_dyn(object input_data, object tree_parameters, object tree_biases, object tree_depth, object random_seed, object name, object ctx)

object stochastic_hard_routing_gradient_eager_fallback(IGraphNodeBase input_data, IGraphNodeBase tree_parameters, IGraphNodeBase tree_biases, IGraphNodeBase path_probability, IGraphNodeBase path, int tree_depth, string name, Context ctx)

object stochastic_hard_routing_gradient_eager_fallback_dyn(object input_data, object tree_parameters, object tree_biases, object path_probability, object path, object tree_depth, object name, object ctx)

object StochasticHardRoutingFunction(object input_data, object tree_parameters, object tree_biases, object tree_depth, object random_seed, string name)

object StochasticHardRoutingFunction_dyn(object input_data, object tree_parameters, object tree_biases, object tree_depth, object random_seed, object name)

object StochasticHardRoutingGradient(object input_data, object tree_parameters, object tree_biases, object path_probability, object path, object tree_depth, string name)

object StochasticHardRoutingGradient_dyn(object input_data, object tree_parameters, object tree_biases, object path_probability, object path, object tree_depth, object name)

object unpack_path_eager_fallback(IGraphNodeBase path, IGraphNodeBase path_values, string name, Context ctx)

object unpack_path_eager_fallback_dyn(object path, object path_values, object name, object ctx)

Tensor UnpackPath(object path, object path_values, string name)

object UnpackPath_dyn(object path, object path_values, object name)

Public properties

PythonFunctionContainer hard_routing_function_eager_fallback_fn get;

PythonFunctionContainer HardRoutingFunction_fn get;

PythonFunctionContainer k_feature_gradient_eager_fallback_fn get;

PythonFunctionContainer k_feature_routing_function_eager_fallback_fn get;

PythonFunctionContainer KFeatureGradient_fn get;

PythonFunctionContainer KFeatureRoutingFunction_fn get;

PythonFunctionContainer routing_function_eager_fallback_fn get;

PythonFunctionContainer routing_gradient_eager_fallback_fn get;

PythonFunctionContainer RoutingFunction_fn get;

PythonFunctionContainer RoutingGradient_fn get;

PythonFunctionContainer stochastic_hard_routing_function_eager_fallback_fn get;

PythonFunctionContainer stochastic_hard_routing_gradient_eager_fallback_fn get;

PythonFunctionContainer StochasticHardRoutingFunction_fn get;

PythonFunctionContainer StochasticHardRoutingGradient_fn get;

PythonFunctionContainer unpack_path_eager_fallback_fn get;

PythonFunctionContainer UnpackPath_fn get;