Uses of Class
org.bytedeco.javacpp.tensorflow.StringVector

Packages that use tensorflow.StringVector

Package	Description
org.bytedeco.javacpp

Uses of tensorflow.StringVector in org.bytedeco.javacpp

Methods in org.bytedeco.javacpp that return tensorflow.StringVector

Modifier and Type	Method and Description
tensorflow.StringVector	tensorflow.FunctionDefHelper.Node.arg()
tensorflow.StringVector	tensorflow.ImportGraphDefOptions.control_dependencies()
tensorflow.StringVector	tensorflow.FunctionDefHelper.Node.dep()
static tensorflow.StringVector	tensorflow.DeviceNameUtils.GetLocalNamesForDeviceMappings(tensorflow.DeviceNameUtils.ParsedName pn)
static tensorflow.StringVector	tensorflow.DeviceNameUtils.GetNamesForDeviceMappings(tensorflow.DeviceNameUtils.ParsedName pn)
tensorflow.StringVector	tensorflow.TensorSummary.Attrs.labels_()
tensorflow.StringVector	tensorflow.StringVector.push_back(BytePointer value)
tensorflow.StringVector	tensorflow.StringVector.push_back(String value)
tensorflow.StringVector	tensorflow.StringVector.put(BytePointer... array)
tensorflow.StringVector	tensorflow.StringVector.put(BytePointer value)
tensorflow.StringVector	tensorflow.StringVector.put(long i, BytePointer value)
tensorflow.StringVector	tensorflow.StringVector.put(long i, String value)
tensorflow.StringVector	tensorflow.StringVector.put(String... array)
tensorflow.StringVector	tensorflow.StringVector.put(String value)
tensorflow.StringVector	tensorflow.StringVector.put(tensorflow.StringVector x)
tensorflow.StringVector	tensorflow.FunctionDefHelper.Node.ret()
tensorflow.StringVector	tensorflow.ImportGraphDefOptions.return_nodes()

Methods in org.bytedeco.javacpp with parameters of type tensorflow.StringVector

Modifier and Type	Method and Description
static void	tensorflow.AddNodeAttr(BytePointer name, tensorflow.StringVector value, tensorflow.NodeDef node_def)
static void	tensorflow.AddNodeAttr(String name, tensorflow.StringVector value, tensorflow.NodeDef node_def)
tensorflow.FunctionDefHelper.Node	tensorflow.FunctionDefHelper.Node.arg(tensorflow.StringVector arg)
tensorflow.NodeDefBuilder	tensorflow.NodeDefBuilder.Attr(BytePointer name, tensorflow.StringVector value)
tensorflow.NodeDefBuilder	tensorflow.NodeDefBuilder.Attr(String name, tensorflow.StringVector value)
void	tensorflow.DeviceMgr.ClearContainers(tensorflow.StringVector containers)
tensorflow.ImportGraphDefOptions	tensorflow.ImportGraphDefOptions.control_dependencies(tensorflow.StringVector control_dependencies)
static tensorflow.FunctionDef	tensorflow.FunctionDefHelper.Create(BytePointer function_name, tensorflow.StringVector in_def, tensorflow.StringVector out_def, tensorflow.StringVector attr_def, tensorflow.FunctionDefHelper.Node node_def, tensorflow.StringStringPairVector ret_def)
static tensorflow.FunctionDef	tensorflow.FunctionDefHelper.Create(String function_name, tensorflow.StringVector in_def, tensorflow.StringVector out_def, tensorflow.StringVector attr_def, tensorflow.FunctionDefHelper.Node node_def, tensorflow.StringStringPairVector ret_def)
static tensorflow.FunctionDef	tensorflow.FunctionDefHelper.Define(BytePointer function_name, tensorflow.StringVector arg_def, tensorflow.StringVector ret_def, tensorflow.StringVector attr_def, tensorflow.FunctionDefHelper.Node node_def)
static tensorflow.FunctionDef	tensorflow.FunctionDefHelper.Define(String function_name, tensorflow.StringVector arg_def, tensorflow.StringVector ret_def, tensorflow.StringVector attr_def, tensorflow.FunctionDefHelper.Node node_def)
static tensorflow.FunctionDef	tensorflow.FunctionDefHelper.Define(tensorflow.StringVector arg_def, tensorflow.StringVector ret_def, tensorflow.StringVector attr_def, tensorflow.FunctionDefHelper.Node node_def)
tensorflow.FunctionDefHelper.Node	tensorflow.FunctionDefHelper.Node.dep(tensorflow.StringVector dep)
boolean	tensorflow.FileSystem.FilesExist(tensorflow.StringVector files, tensorflow.Status status) Returns true if all the listed files exist, false otherwise.
boolean	tensorflow.Env.FilesExist(tensorflow.StringVector files, tensorflow.Status status) Returns true if all the listed files exist, false otherwise.
tensorflow.Status	tensorflow.FileSystem.GetChildren(BytePointer dir, tensorflow.StringVector result) \brief Returns the immediate children in the given directory.
tensorflow.Status	tensorflow.Env.GetChildren(BytePointer dir, tensorflow.StringVector result) \brief Stores in *result the names of the children of the specified directory.
tensorflow.Status	tensorflow.FileSystem.GetChildren(String dir, tensorflow.StringVector result)
tensorflow.Status	tensorflow.Env.GetChildren(String dir, tensorflow.StringVector result)
void	tensorflow.Env.GetLocalTempDirectories(tensorflow.StringVector list)
tensorflow.Status	tensorflow.FileSystem.GetMatchingPaths(BytePointer pattern, tensorflow.StringVector results) \brief Given a pattern, stores in *results the set of paths that matches that pattern.
tensorflow.Status	tensorflow.Env.GetMatchingPaths(BytePointer pattern, tensorflow.StringVector results) \brief Given a pattern, stores in *results the set of paths that matches that pattern.
tensorflow.Status	tensorflow.FileSystem.GetMatchingPaths(String pattern, tensorflow.StringVector results)
tensorflow.Status	tensorflow.Env.GetMatchingPaths(String pattern, tensorflow.StringVector results)
static tensorflow.Status	tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs, BytePointer attr_name, tensorflow.StringVector value)
static tensorflow.Status	tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs, String attr_name, tensorflow.StringVector value)
static boolean	tensorflow.GetNodeAttrSimple(tensorflow.AttrSlice attrs, BytePointer attr_name, tensorflow.StringVector value)
static boolean	tensorflow.GetNodeAttrSimple(tensorflow.AttrSlice attrs, String attr_name, tensorflow.StringVector value)
tensorflow.Status	tensorflow.FileSystemRegistry.GetRegisteredFileSystemSchemes(tensorflow.StringVector schemes)
tensorflow.Status	tensorflow.Env.GetRegisteredFileSystemSchemes(tensorflow.StringVector schemes) \brief Returns the file system schemes registered for this Env.
tensorflow.Status	tensorflow.EnvWrapper.GetRegisteredFileSystemSchemes(tensorflow.StringVector schemes)
tensorflow.TensorSummary.Attrs	tensorflow.TensorSummary.Attrs.labels_(tensorflow.StringVector labels_)
static tensorflow.TensorSummary.Attrs	tensorflow.TensorSummary.Labels(tensorflow.StringVector x)
tensorflow.TensorSummary.Attrs	tensorflow.TensorSummary.Attrs.Labels(tensorflow.StringVector x) An unused list of strings.
tensorflow.Status	tensorflow.ApiDefMap.LoadFileList(tensorflow.Env env, tensorflow.StringVector filenames)
static tensorflow.Status	tensorflow.MergeBundles(tensorflow.Env env, tensorflow.StringVector prefixes, BytePointer merged_prefix)
static tensorflow.Status	tensorflow.MergeBundles(tensorflow.Env env, tensorflow.StringVector prefixes, String merged_prefix)
static BytePointer	tensorflow.PBTxtToMultiline(BytePointer pbtxt, tensorflow.StringVector multi_line_fields)
static String	tensorflow.PBTxtToMultiline(String pbtxt, tensorflow.StringVector multi_line_fields)
tensorflow.Status	tensorflow.Session.PRun(BytePointer handle, tensorflow.StringTensorPairVector inputs, tensorflow.StringVector output_names, tensorflow.TensorVector outputs) \brief Continues the pending execution specified by handle with the provided input tensors and fills outputs for the endpoints specified in output_names.
tensorflow.Status	tensorflow.Session.PRun(String handle, tensorflow.StringTensorPairVector inputs, tensorflow.StringVector output_names, tensorflow.TensorVector outputs)
tensorflow.Status	tensorflow.Session.PRunSetup(tensorflow.StringVector input_names, tensorflow.StringVector output_names, tensorflow.StringVector target_nodes, BytePointer handle) \brief Sets up a graph for partial execution.
tensorflow.StringVector	tensorflow.StringVector.put(tensorflow.StringVector x)
static tensorflow.Status	tensorflow.Reset(tensorflow.SessionOptions options, tensorflow.StringVector containers) \brief Resets resource containers associated with a target.
tensorflow.FunctionDefHelper.Node	tensorflow.FunctionDefHelper.Node.ret(tensorflow.StringVector ret)
tensorflow.ImportGraphDefOptions	tensorflow.ImportGraphDefOptions.return_nodes(tensorflow.StringVector return_nodes)
tensorflow.Status	tensorflow.GraphRunner.Run(tensorflow.Graph graph, tensorflow.FunctionLibraryRuntime function_library, tensorflow.StringTensorPairVector inputs, tensorflow.StringVector output_names, tensorflow.TensorVector outputs)
tensorflow.Status	tensorflow.Session.Run(tensorflow.RunOptions run_options, tensorflow.StringTensorPairVector inputs, tensorflow.StringVector output_tensor_names, tensorflow.StringVector target_node_names, tensorflow.TensorVector outputs, tensorflow.RunMetadata run_metadata) \brief Like Run, but allows users to pass in a RunOptions proto and to retrieve non-Tensor metadata output via a RunMetadata proto for this step.
tensorflow.Status	tensorflow.Session.Run(tensorflow.StringTensorPairVector inputs, tensorflow.StringVector output_tensor_names, tensorflow.StringVector target_node_names, tensorflow.TensorVector outputs) \brief Runs the graph with the provided input tensors and fills outputs for the endpoints specified in output_tensor_names.
tensorflow.Status	tensorflow.TensorStore.SaveTensors(tensorflow.StringVector output_names, tensorflow.SessionState session_state)
tensorflow.GraphDefBuilder.Options	tensorflow.GraphDefBuilder.Options.WithAttr(BytePointer attr_name, tensorflow.StringVector value)
tensorflow.GraphDefBuilder.Options	tensorflow.GraphDefBuilder.Options.WithAttr(String attr_name, tensorflow.StringVector value)

Constructors in org.bytedeco.javacpp with parameters of type tensorflow.StringVector

Constructor and Description
ParseSequenceExample(tensorflow.Scope scope, tensorflow.Input serialized, tensorflow.Input debug_name, tensorflow.InputList context_dense_defaults, tensorflow.StringVector feature_list_dense_missing_assumed_empty, tensorflow.StringVector context_sparse_keys, tensorflow.StringVector context_dense_keys, tensorflow.StringVector feature_list_sparse_keys, tensorflow.StringVector feature_list_dense_keys)
ParseSequenceExample(tensorflow.Scope scope, tensorflow.Input serialized, tensorflow.Input debug_name, tensorflow.InputList context_dense_defaults, tensorflow.StringVector feature_list_dense_missing_assumed_empty, tensorflow.StringVector context_sparse_keys, tensorflow.StringVector context_dense_keys, tensorflow.StringVector feature_list_sparse_keys, tensorflow.StringVector feature_list_dense_keys, tensorflow.ParseSequenceExample.Attrs attrs)
ParseSingleExample(tensorflow.Scope scope, tensorflow.Input serialized, tensorflow.InputList dense_defaults, long num_sparse, tensorflow.StringVector sparse_keys, tensorflow.StringVector dense_keys, tensorflow.DataTypeVector sparse_types, tensorflow.PartialTensorShape dense_shapes)