LostTech.TensorFlow : API Documentation

Type base_layer_utils

Namespace tensorflow.python.keras.engine.base_layer_utils

Methods

Properties

Fields

Public static methods

IEnumerator<object> autocast_context_manager(DType dtype)

object autocast_context_manager_dyn(object dtype)

object call_context()

object call_context_dyn()

void check_graph_consistency(IGraphNodeBase tensor, string method, bool force_raise)

void check_graph_consistency(IEnumerable<object> tensor, string method, bool force_raise)

void check_graph_consistency(double tensor, string method, bool force_raise)

object check_graph_consistency_dyn(object tensor, ImplicitContainer<T> method, ImplicitContainer<T> force_raise)

object collect_previous_mask(object input_tensors)

object collect_previous_mask_dyn(object input_tensors)

IList<TensorFlowOpLayer> create_keras_history(IGraphNodeBase tensors)

IList<TensorFlowOpLayer> create_keras_history(IEnumerable<IGraphNodeBase> tensors)

object create_keras_history_dyn(object tensors)

ValueTuple<Mean, object> create_mean_metric(double value, string name)

object create_mean_metric_dyn(object value, object name)

object default(object method)

object default_dyn(object method)

void disable_v2_dtype_behavior()

object disable_v2_dtype_behavior_dyn()

void enable_v2_dtype_behavior()

object enable_v2_dtype_behavior_dyn()

bool from_saved_model(object layer)

object from_saved_model_dyn(object layer)

Tensor generate_placeholders_from_shape(int32 shape)

Tensor generate_placeholders_from_shape(IEnumerable<object> shape)

Tensor generate_placeholders_from_shape(ValueTuple<int, object> shape)

Tensor generate_placeholders_from_shape(ValueTuple<Nullable<int>> shape)

Tensor generate_placeholders_from_shape(Dimension shape)

Tensor generate_placeholders_from_shape(TensorShape shape)

object generate_placeholders_from_shape_dyn(object shape)

bool have_all_keras_metadata(IEnumerable<IGraphNodeBase> tensors)

bool have_all_keras_metadata(IGraphNodeBase tensors)

object have_all_keras_metadata_dyn(object tensors)

bool is_in_eager_or_tf_function()

object is_in_eager_or_tf_function_dyn()

object is_in_keras_graph()

object is_in_keras_graph_dyn()

bool is_in_tf_function()

object is_in_tf_function_dyn()

bool is_subclassed(object layer)

object is_subclassed_dyn(object layer)

Variable make_variable(string name, TensorShape shape, ImplicitContainer<T> dtype, Nullable<ValueTuple<PythonClassContainer, object>> initializer, object trainable, object caching_device, bool validate_shape, object constraint, Nullable<bool> use_resource, object collections, VariableSynchronization synchronization, VariableAggregation aggregation, object partitioner)

object make_variable_dyn(object name, object shape, ImplicitContainer<T> dtype, object initializer, object trainable, object caching_device, ImplicitContainer<T> validate_shape, object constraint, object use_resource, object collections, ImplicitContainer<T> synchronization, ImplicitContainer<T> aggregation, object partitioner)

object mark_as_return(object outputs, AutomaticControlDependencies acd)

object mark_as_return(PythonFunctionContainer outputs, AutomaticControlDependencies acd)

object mark_as_return(IEnumerable<IGraphNodeBase> outputs, AutomaticControlDependencies acd)

object mark_as_return_dyn(object outputs, object acd)

void mark_checked(IGraphNodeBase tensors)

void mark_checked(IEnumerable<IGraphNodeBase> tensors)

void mark_checked(PythonClassContainer tensors)

object mark_checked_dyn(object tensors)

bool needs_keras_history(IEnumerable<IGraphNodeBase> tensors, bool ignore_call_context)

bool needs_keras_history(IGraphNodeBase tensors, bool ignore_call_context)

object needs_keras_history_dyn(object tensors, ImplicitContainer<T> ignore_call_context)

bool training_arg_passed_to_call(object argspec, IEnumerable<object> args, IDictionary<string, object> kwargs)

object training_arg_passed_to_call_dyn(object argspec, object args, object kwargs)

bool uses_keras_history(IGraphNodeBase tensors)

bool uses_keras_history(IEnumerable<IGraphNodeBase> tensors)

object uses_keras_history_dyn(object tensors)

Nullable<bool> v2_dtype_behavior_enabled()

object v2_dtype_behavior_enabled_dyn()

Public properties

PythonFunctionContainer autocast_context_manager_fn get;

PythonFunctionContainer call_context_fn get;

PythonFunctionContainer CallContext_fn get;

PythonFunctionContainer check_graph_consistency_fn get;

PythonFunctionContainer collect_previous_mask_fn get;

PythonFunctionContainer create_keras_history_fn get;

PythonFunctionContainer create_mean_metric_fn get;

PythonFunctionContainer default_fn get;

PythonFunctionContainer disable_v2_dtype_behavior_fn get;

PythonFunctionContainer enable_v2_dtype_behavior_fn get;

PythonFunctionContainer from_saved_model_fn get;

PythonFunctionContainer generate_placeholders_from_shape_fn get;

PythonFunctionContainer have_all_keras_metadata_fn get;

PythonFunctionContainer is_in_eager_or_tf_function_fn get;

PythonFunctionContainer is_in_keras_graph_fn get;

PythonFunctionContainer is_in_tf_function_fn get;

PythonFunctionContainer is_subclassed_fn get;

PythonFunctionContainer make_variable_fn get;

PythonFunctionContainer mark_as_return_fn get;

PythonFunctionContainer mark_checked_fn get;

PythonFunctionContainer needs_keras_history_fn get;

PythonFunctionContainer training_arg_passed_to_call_fn get;

PythonFunctionContainer uses_keras_history_fn get;

PythonFunctionContainer v2_dtype_behavior_enabled_fn get;

Public fields

Nullable<bool> V2_DTYPE_BEHAVIOR

return Nullable<bool>