LostTech.TensorFlow : API Documentation

Type learning

Namespace tensorflow.contrib.slim.learning

Methods

Properties

Public static methods

IList<Tensor> add_gradients_summaries(object grads_and_vars)

IList<ValueTuple<object, object>> clip_gradient_norms(IEnumerable<ValueTuple<object, object>> gradients_to_variables, int max_norm)

IList<ValueTuple<object, object>> clip_gradient_norms(object gradients_to_variables, double max_norm)

IList<ValueTuple<object, object>> clip_gradient_norms(object gradients_to_variables, int max_norm)

Tensor create_train_op(IGraphNodeBase total_loss, Optimizer optimizer, ImplicitContainer<T> global_step, IEnumerable<object> update_ops, IEnumerable<object> variables_to_train, int clip_gradient_norm, bool summarize_gradients, ImplicitContainer<T> gate_gradients, object aggregation_method, bool colocate_gradients_with_ops, IDictionary<object, object> gradient_multipliers, bool check_numerics)

object create_train_op_dyn(object total_loss, object optimizer, ImplicitContainer<T> global_step, object update_ops, object variables_to_train, ImplicitContainer<T> clip_gradient_norm, ImplicitContainer<T> summarize_gradients, ImplicitContainer<T> gate_gradients, object aggregation_method, ImplicitContainer<T> colocate_gradients_with_ops, object gradient_multipliers, ImplicitContainer<T> check_numerics)

IList<object> multiply_gradients(ValueTuple<IGraphNodeBase, Variable> grads_and_vars, IDictionary<object, object> gradient_multipliers)

IList<object> multiply_gradients(ValueTuple<IGraphNodeBase, Variable> grads_and_vars, int gradient_multipliers)

IList<object> multiply_gradients(IEnumerable<ValueTuple<IGraphNodeBase, Variable>> grads_and_vars, IDictionary<object, object> gradient_multipliers)

IList<object> multiply_gradients(IEnumerable<ValueTuple<IGraphNodeBase, Variable>> grads_and_vars, int gradient_multipliers)

Tensor train(IGraphNodeBase train_op, object logdir, ImplicitContainer<T> train_step_fn, ImplicitContainer<T> train_step_kwargs, int log_every_n_steps, Graph graph, string master, bool is_chief, object global_step, Nullable<int> number_of_steps, ImplicitContainer<T> init_op, object init_feed_dict, ImplicitContainer<T> local_init_op, PythonFunctionContainer init_fn, ImplicitContainer<T> ready_op, IGraphNodeBase summary_op, int save_summaries_secs, ImplicitContainer<T> summary_writer, int startup_delay_steps, Saver saver, int save_interval_secs, SyncReplicasOptimizer sync_optimizer, object session_config, object session_wrapper, Nullable<int> trace_every_n_steps, bool ignore_live_threads)

Tensor train(IGraphNodeBase train_op, object logdir, ImplicitContainer<T> train_step_fn, ImplicitContainer<T> train_step_kwargs, int log_every_n_steps, Graph graph, string master, bool is_chief, object global_step, Nullable<int> number_of_steps, object init_op, object init_feed_dict, ImplicitContainer<T> local_init_op, PythonFunctionContainer init_fn, ImplicitContainer<T> ready_op, IGraphNodeBase summary_op, int save_summaries_secs, ImplicitContainer<T> summary_writer, int startup_delay_steps, Saver saver, int save_interval_secs, SyncReplicasOptimizer sync_optimizer, object session_config, object session_wrapper, Nullable<int> trace_every_n_steps, bool ignore_live_threads)

Tensor train(IGraphNodeBase train_op, object logdir, ImplicitContainer<T> train_step_fn, ImplicitContainer<T> train_step_kwargs, int log_every_n_steps, Graph graph, string master, bool is_chief, object global_step, Nullable<int> number_of_steps, object init_op, object init_feed_dict, ImplicitContainer<T> local_init_op, PythonFunctionContainer init_fn, ImplicitContainer<T> ready_op, IGraphNodeBase summary_op, int save_summaries_secs, ImplicitContainer<T> summary_writer, int startup_delay_steps, Saver saver, int save_interval_secs, IEnumerable<object> sync_optimizer, object session_config, object session_wrapper, Nullable<int> trace_every_n_steps, bool ignore_live_threads)

Tensor train(IGraphNodeBase train_op, object logdir, ImplicitContainer<T> train_step_fn, ImplicitContainer<T> train_step_kwargs, int log_every_n_steps, Graph graph, string master, bool is_chief, object global_step, Nullable<int> number_of_steps, object init_op, object init_feed_dict, ImplicitContainer<T> local_init_op, PythonFunctionContainer init_fn, ImplicitContainer<T> ready_op, ImplicitContainer<T> summary_op, int save_summaries_secs, ImplicitContainer<T> summary_writer, int startup_delay_steps, Saver saver, int save_interval_secs, SyncReplicasOptimizer sync_optimizer, object session_config, object session_wrapper, Nullable<int> trace_every_n_steps, bool ignore_live_threads)

Tensor train(IGraphNodeBase train_op, object logdir, ImplicitContainer<T> train_step_fn, ImplicitContainer<T> train_step_kwargs, int log_every_n_steps, Graph graph, string master, bool is_chief, object global_step, Nullable<int> number_of_steps, ImplicitContainer<T> init_op, object init_feed_dict, ImplicitContainer<T> local_init_op, PythonFunctionContainer init_fn, ImplicitContainer<T> ready_op, ImplicitContainer<T> summary_op, int save_summaries_secs, ImplicitContainer<T> summary_writer, int startup_delay_steps, Saver saver, int save_interval_secs, IEnumerable<object> sync_optimizer, object session_config, object session_wrapper, Nullable<int> trace_every_n_steps, bool ignore_live_threads)

Tensor train(IGraphNodeBase train_op, object logdir, ImplicitContainer<T> train_step_fn, ImplicitContainer<T> train_step_kwargs, int log_every_n_steps, Graph graph, string master, bool is_chief, object global_step, Nullable<int> number_of_steps, ImplicitContainer<T> init_op, object init_feed_dict, ImplicitContainer<T> local_init_op, PythonFunctionContainer init_fn, ImplicitContainer<T> ready_op, ImplicitContainer<T> summary_op, int save_summaries_secs, ImplicitContainer<T> summary_writer, int startup_delay_steps, Saver saver, int save_interval_secs, SyncReplicasOptimizer sync_optimizer, object session_config, object session_wrapper, Nullable<int> trace_every_n_steps, bool ignore_live_threads)

Tensor train(IGraphNodeBase train_op, object logdir, ImplicitContainer<T> train_step_fn, ImplicitContainer<T> train_step_kwargs, int log_every_n_steps, Graph graph, string master, bool is_chief, object global_step, Nullable<int> number_of_steps, ImplicitContainer<T> init_op, object init_feed_dict, ImplicitContainer<T> local_init_op, PythonFunctionContainer init_fn, ImplicitContainer<T> ready_op, IGraphNodeBase summary_op, int save_summaries_secs, ImplicitContainer<T> summary_writer, int startup_delay_steps, Saver saver, int save_interval_secs, IEnumerable<object> sync_optimizer, object session_config, object session_wrapper, Nullable<int> trace_every_n_steps, bool ignore_live_threads)

Tensor train(IGraphNodeBase train_op, object logdir, ImplicitContainer<T> train_step_fn, ImplicitContainer<T> train_step_kwargs, int log_every_n_steps, Graph graph, string master, bool is_chief, object global_step, Nullable<int> number_of_steps, object init_op, object init_feed_dict, ImplicitContainer<T> local_init_op, PythonFunctionContainer init_fn, ImplicitContainer<T> ready_op, ImplicitContainer<T> summary_op, int save_summaries_secs, ImplicitContainer<T> summary_writer, int startup_delay_steps, Saver saver, int save_interval_secs, IEnumerable<object> sync_optimizer, object session_config, object session_wrapper, Nullable<int> trace_every_n_steps, bool ignore_live_threads)

object train_dyn(object train_op, object logdir, ImplicitContainer<T> train_step_fn, ImplicitContainer<T> train_step_kwargs, ImplicitContainer<T> log_every_n_steps, object graph, ImplicitContainer<T> master, ImplicitContainer<T> is_chief, object global_step, object number_of_steps, ImplicitContainer<T> init_op, object init_feed_dict, ImplicitContainer<T> local_init_op, object init_fn, ImplicitContainer<T> ready_op, ImplicitContainer<T> summary_op, ImplicitContainer<T> save_summaries_secs, ImplicitContainer<T> summary_writer, ImplicitContainer<T> startup_delay_steps, object saver, ImplicitContainer<T> save_interval_secs, object sync_optimizer, object session_config, object session_wrapper, object trace_every_n_steps, ImplicitContainer<T> ignore_live_threads)

ValueTuple<object, object> train_step(object sess, IGraphNodeBase train_op, IGraphNodeBase global_step, int train_step_kwargs)

ValueTuple<object, object> train_step(object sess, IGraphNodeBase train_op, IGraphNodeBase global_step, IDictionary<string, object> train_step_kwargs)

object train_step_dyn(object sess, object train_op, object global_step, object train_step_kwargs)

Public properties

PythonFunctionContainer add_gradients_summaries_fn get;

PythonFunctionContainer clip_gradient_norms_fn get;

PythonFunctionContainer create_train_op_fn get;

PythonFunctionContainer multiply_gradients_fn get;

PythonFunctionContainer train_fn get;

PythonFunctionContainer train_step_fn get;