tensorflow.Status |
tensorflow.OpOutputList._allocate(int i,
tensorflow.TensorShape shape,
PointerPointer output) |
tensorflow.Status |
tensorflow.OpOutputList._allocate(int i,
tensorflow.TensorShape shape,
tensorflow.Tensor output) |
tensorflow.Status |
tensorflow.BundleWriter.Add(BytePointer key,
tensorflow.Tensor val) |
tensorflow.Status |
tensorflow.BundleWriter.Add(String key,
tensorflow.Tensor val) |
tensorflow.Status |
tensorflow.InferenceContext.Add(tensorflow.DimensionHandle first,
tensorflow.DimensionOrConstant second,
tensorflow.DimensionHandle out) |
tensorflow.Status |
tensorflow.FunctionLibraryDefinition.AddFunctionDef(tensorflow.FunctionDef fdef) |
tensorflow.Status |
tensorflow.Graph.AddFunctionLibrary(tensorflow.FunctionDefLibrary fdef_lib) |
tensorflow.Status |
tensorflow.GraphDefBuilder.AddFunctionLibrary(tensorflow.FunctionDefLibrary fdef_lib) |
tensorflow.Status |
tensorflow.FunctionLibraryDefinition.AddGradientDef(tensorflow.GradientDef grad) |
tensorflow.Status |
tensorflow.FunctionLibraryDefinition.AddLibrary(tensorflow.FunctionDefLibrary lib_def) |
tensorflow.Status |
tensorflow.FunctionLibraryDefinition.AddLibrary(tensorflow.FunctionLibraryDefinition other) |
tensorflow.Status |
tensorflow.ShapeRefiner.AddNode(tensorflow.Node node) |
static tensorflow.Status |
tensorflow.AddPrefixAndSuffixToNode(BytePointer prefix,
BytePointer suffix,
tensorflow.NodeDef node_def) |
static tensorflow.Status |
tensorflow.AddPrefixAndSuffixToNode(String prefix,
String suffix,
tensorflow.NodeDef node_def) |
tensorflow.Status |
tensorflow.BundleWriter.AddSlice(BytePointer full_tensor_key,
tensorflow.TensorShape full_tensor_shape,
tensorflow.TensorSlice slice_spec,
tensorflow.Tensor slice_tensor) |
tensorflow.Status |
tensorflow.BundleWriter.AddSlice(String full_tensor_key,
tensorflow.TensorShape full_tensor_shape,
tensorflow.TensorSlice slice_spec,
tensorflow.Tensor slice_tensor) |
static tensorflow.Status |
tensorflow.AddSymbolicGradients(tensorflow.NodeOut y_node_outputs,
tensorflow.NodeOut x_node_outputs,
tensorflow.NodeOut y_grad_node_outputs,
tensorflow.NodeOut x_grad_node_outputs,
tensorflow.Graph graph) |
static tensorflow.Status |
tensorflow.AddSymbolicGradients(tensorflow.Scope scope,
tensorflow.OutputVector outputs,
tensorflow.OutputVector inputs,
tensorflow.OutputVector grad_outputs) |
static tensorflow.Status |
tensorflow.AddSymbolicGradients(tensorflow.Scope scope,
tensorflow.OutputVector outputs,
tensorflow.OutputVector inputs,
tensorflow.OutputVector grad_inputs,
tensorflow.OutputVector grad_outputs)
NOTE: This API is a work in progress and will likely be changing frequently.
|
tensorflow.Status |
tensorflow.SessionState.AddTensor(BytePointer handle,
tensorflow.Tensor tensor) |
tensorflow.Status |
tensorflow.TensorStore.AddTensor(BytePointer name,
tensorflow.TensorStore.TensorAndKey tk) |
tensorflow.Status |
tensorflow.SessionState.AddTensor(String handle,
tensorflow.Tensor tensor) |
tensorflow.Status |
tensorflow.TensorStore.AddTensor(String name,
tensorflow.TensorStore.TensorAndKey tk) |
tensorflow.Status |
tensorflow.Graph.AddWhileContext(BytePointer frame_name,
tensorflow.NodeVector enter_nodes,
tensorflow.NodeVector exit_nodes,
tensorflow.OutputTensor cond_output,
tensorflow.OutputTensor body_inputs,
tensorflow.OutputTensor body_outputs,
PointerPointer result) |
tensorflow.Status |
tensorflow.Graph.AddWhileContext(BytePointer frame_name,
tensorflow.NodeVector enter_nodes,
tensorflow.NodeVector exit_nodes,
tensorflow.OutputTensor cond_output,
tensorflow.OutputTensor body_inputs,
tensorflow.OutputTensor body_outputs,
tensorflow.WhileContext result) |
tensorflow.Status |
tensorflow.Graph.AddWhileContext(String frame_name,
tensorflow.NodeVector enter_nodes,
tensorflow.NodeVector exit_nodes,
tensorflow.OutputTensor cond_output,
tensorflow.OutputTensor body_inputs,
tensorflow.OutputTensor body_outputs,
tensorflow.WhileContext result) |
tensorflow.Status |
tensorflow.OpKernelContext.allocate_output(BytePointer name,
tensorflow.TensorShape shape,
PointerPointer tensor) |
tensorflow.Status |
tensorflow.OpKernelContext.allocate_output(BytePointer name,
tensorflow.TensorShape shape,
PointerPointer tensor,
tensorflow.AllocatorAttributes attr) |
tensorflow.Status |
tensorflow.OpKernelContext.allocate_output(BytePointer name,
tensorflow.TensorShape shape,
tensorflow.Tensor tensor) |
tensorflow.Status |
tensorflow.OpKernelContext.allocate_output(BytePointer name,
tensorflow.TensorShape shape,
tensorflow.Tensor tensor,
tensorflow.AllocatorAttributes attr) |
tensorflow.Status |
tensorflow.OpKernelContext.allocate_output(int index,
tensorflow.TensorShape shape,
PointerPointer tensor) |
tensorflow.Status |
tensorflow.OpKernelContext.allocate_output(int index,
tensorflow.TensorShape shape,
PointerPointer tensor,
tensorflow.AllocatorAttributes attr) |
tensorflow.Status |
tensorflow.OpKernelContext.allocate_output(int index,
tensorflow.TensorShape shape,
tensorflow.Tensor tensor) |
tensorflow.Status |
tensorflow.OpKernelContext.allocate_output(int index,
tensorflow.TensorShape shape,
tensorflow.Tensor tensor,
tensorflow.AllocatorAttributes attr) |
tensorflow.Status |
tensorflow.OpKernelContext.allocate_output(String name,
tensorflow.TensorShape shape,
tensorflow.Tensor tensor) |
tensorflow.Status |
tensorflow.OpKernelContext.allocate_output(String name,
tensorflow.TensorShape shape,
tensorflow.Tensor tensor,
tensorflow.AllocatorAttributes attr) |
tensorflow.Status |
tensorflow.OpKernelConstruction.allocate_persistent(int type,
tensorflow.TensorShape shape,
tensorflow.PersistentTensor out_persistent,
PointerPointer out_tensor) |
tensorflow.Status |
tensorflow.OpKernelContext.allocate_persistent(int type,
tensorflow.TensorShape shape,
tensorflow.PersistentTensor out_persistent,
PointerPointer out_tensor) |
tensorflow.Status |
tensorflow.OpKernelContext.allocate_persistent(int type,
tensorflow.TensorShape shape,
tensorflow.PersistentTensor out_persistent,
PointerPointer out_tensor,
tensorflow.AllocatorAttributes attr) |
tensorflow.Status |
tensorflow.OpKernelConstruction.allocate_persistent(int type,
tensorflow.TensorShape shape,
tensorflow.PersistentTensor out_persistent,
tensorflow.Tensor out_tensor) |
tensorflow.Status |
tensorflow.OpKernelContext.allocate_persistent(int type,
tensorflow.TensorShape shape,
tensorflow.PersistentTensor out_persistent,
tensorflow.Tensor out_tensor) |
tensorflow.Status |
tensorflow.OpKernelContext.allocate_persistent(int type,
tensorflow.TensorShape shape,
tensorflow.PersistentTensor out_persistent,
tensorflow.Tensor out_tensor,
tensorflow.AllocatorAttributes attr) |
tensorflow.Status |
tensorflow.OpKernelConstruction.allocate_temp(int type,
tensorflow.TensorShape shape,
tensorflow.Tensor out_temp) |
tensorflow.Status |
tensorflow.OpKernelContext.allocate_temp(int type,
tensorflow.TensorShape shape,
tensorflow.Tensor out_temp) |
tensorflow.Status |
tensorflow.OpKernelContext.allocate_temp(int type,
tensorflow.TensorShape shape,
tensorflow.Tensor out_temp,
tensorflow.AllocatorAttributes allocator_attr) |
tensorflow.Status |
tensorflow.OpKernelContext.allocate_temp(int type,
tensorflow.TensorShape shape,
tensorflow.Tensor out_temp,
tensorflow.AllocatorAttributes allocator_attr,
tensorflow.AllocationAttributes allocation_attr) |
tensorflow.Status |
tensorflow.ZlibOutputBuffer.Append(BytePointer data) |
tensorflow.Status |
tensorflow.WritableFile.Append(BytePointer data)
\brief Append 'data' to the file.
|
tensorflow.Status |
tensorflow.FileOutputBuffer.Append(BytePointer data) |
tensorflow.Status |
tensorflow.ZlibOutputBuffer.Append(String data) |
tensorflow.Status |
tensorflow.WritableFile.Append(String data) |
tensorflow.Status |
tensorflow.FileOutputBuffer.Append(String data) |
static tensorflow.Status |
tensorflow.ArgNumType(tensorflow.AttrSlice attrs,
tensorflow.OpDef_ArgDef arg_def,
boolean[] is_type_list,
tensorflow.DataTypeVector dtypes) |
static tensorflow.Status |
tensorflow.ArgNumType(tensorflow.AttrSlice attrs,
tensorflow.OpDef_ArgDef arg_def,
BoolPointer is_type_list,
tensorflow.DataTypeVector dtypes) |
static tensorflow.Status |
tensorflow.AttachDef(tensorflow.Status status,
tensorflow.Node node) |
static tensorflow.Status |
tensorflow.AttachDef(tensorflow.Status status,
tensorflow.NodeDef node_def) |
tensorflow.Status |
tensorflow.OpDefBuilder.Fn_InferenceContext.call(tensorflow.InferenceContext arg0) |
tensorflow.Status |
tensorflow.TrueOpDefBuilderWrapper.Fn_InferenceContext.call(tensorflow.InferenceContext arg0) |
tensorflow.Status |
tensorflow.FalseOpDefBuilderWrapper.Fn_InferenceContext.call(tensorflow.InferenceContext arg0) |
static tensorflow.Status |
tensorflow.DeviceNameUtils.CanonicalizeDeviceName(BytePointer fullname,
BytePointer basename,
BytePointer canonical_name) |
static tensorflow.Status |
tensorflow.DeviceNameUtils.CanonicalizeDeviceName(String fullname,
String basename,
BytePointer canonical_name) |
static tensorflow.Status |
tensorflow.CheckOpDeprecation(tensorflow.OpDef op_def,
int graph_def_version) |
tensorflow.Status |
tensorflow.FunctionLibraryRuntime.Clone(tensorflow.FunctionLibraryDefinition out_lib_def,
tensorflow.ProcessFunctionLibraryRuntime out_pflr,
PointerPointer out_flr) |
tensorflow.Status |
tensorflow.FunctionLibraryRuntime.Clone(tensorflow.FunctionLibraryDefinition out_lib_def,
tensorflow.ProcessFunctionLibraryRuntime out_pflr,
tensorflow.FunctionLibraryRuntime out_flr) |
tensorflow.Status |
tensorflow.ZlibOutputBuffer.Close() |
tensorflow.Status |
tensorflow.RecordWriter.Close() |
tensorflow.Status |
tensorflow.WritableFile.Close()
\brief Close the file.
|
tensorflow.Status |
tensorflow.Session.Close()
\brief Closes this session.
|
tensorflow.Status |
tensorflow.FileOutputBuffer.Close() |
tensorflow.Status |
tensorflow.Session.Close(tensorflow.RunOptions run_options) |
static tensorflow.Status |
tensorflow.Concat(tensorflow.TensorVector tensors,
tensorflow.Tensor result) |
tensorflow.Status |
tensorflow.InferenceContext.Concatenate(tensorflow.ShapeHandle s1,
tensorflow.ShapeHandle s2,
tensorflow.ShapeHandle out) |
tensorflow.Status |
tensorflow.InferenceContext.construction_status() |
tensorflow.Status |
tensorflow.FunctionCallFrame.ConsumeRetvals(tensorflow.TensorVector rets,
boolean allow_dead_tensors) |
static tensorflow.Status |
tensorflow.ConvertGraphDefToGraph(tensorflow.GraphConstructorOptions opts,
tensorflow.GraphDef gdef,
tensorflow.Graph g) |
static tensorflow.Status |
tensorflow.ConvertNodeDefsToGraph(tensorflow.GraphConstructorOptions opts,
tensorflow.NodeDef nodes,
tensorflow.Graph g) |
static tensorflow.Status |
tensorflow.CopyElementToSlice(tensorflow.Tensor element,
tensorflow.Tensor parent,
long index) |
tensorflow.Status |
tensorflow.FileSystem.CopyFile(BytePointer src,
BytePointer target)
\brief Copy the src to target.
|
tensorflow.Status |
tensorflow.Env.CopyFile(BytePointer src,
BytePointer target)
\brief Copy the src to target.
|
tensorflow.Status |
tensorflow.FileSystem.CopyFile(String src,
String target) |
tensorflow.Status |
tensorflow.Env.CopyFile(String src,
String target) |
tensorflow.Status |
tensorflow.Session.Create(tensorflow.GraphDef graph)
\brief Create the graph to be used for the session.
|
tensorflow.Status |
tensorflow.Session.Create(tensorflow.RunOptions run_options,
tensorflow.GraphDef graph)
NOTE: This API is still experimental and may change.
|
tensorflow.Status |
tensorflow.FileSystem.CreateDir(BytePointer dirname)
\brief Creates the specified directory.
|
tensorflow.Status |
tensorflow.Env.CreateDir(BytePointer dirname)
\brief Creates the specified directory.
|
tensorflow.Status |
tensorflow.FileSystem.CreateDir(String dirname) |
tensorflow.Status |
tensorflow.Env.CreateDir(String dirname) |
tensorflow.Status |
tensorflow.FunctionLibraryRuntime.CreateKernel(tensorflow.NodeDef ndef,
PointerPointer kernel) |
tensorflow.Status |
tensorflow.FunctionLibraryRuntime.CreateKernel(tensorflow.NodeDef ndef,
tensorflow.OpKernel kernel) |
static tensorflow.Status |
tensorflow.CreateOpKernel(tensorflow.DeviceType device_type,
tensorflow.DeviceBase device,
tensorflow.Allocator allocator,
tensorflow.FunctionLibraryRuntime flib,
tensorflow.NodeDef def,
int graph_def_version,
PointerPointer kernel) |
static tensorflow.Status |
tensorflow.CreateOpKernel(tensorflow.DeviceType device_type,
tensorflow.DeviceBase device,
tensorflow.Allocator allocator,
tensorflow.FunctionLibraryRuntime flib,
tensorflow.NodeDef def,
int graph_def_version,
tensorflow.OpKernel kernel) |
tensorflow.Status |
tensorflow.FileSystem.DeleteDir(BytePointer dirname)
\brief Deletes the specified directory.
|
tensorflow.Status |
tensorflow.Env.DeleteDir(BytePointer dirname)
Deletes the specified directory.
|
tensorflow.Status |
tensorflow.FileSystem.DeleteDir(String dirname) |
tensorflow.Status |
tensorflow.Env.DeleteDir(String dirname) |
tensorflow.Status |
tensorflow.FileSystem.DeleteFile(BytePointer fname)
\brief Deletes the named file.
|
tensorflow.Status |
tensorflow.Env.DeleteFile(BytePointer fname)
Deletes the named file.
|
tensorflow.Status |
tensorflow.FileSystem.DeleteFile(String fname) |
tensorflow.Status |
tensorflow.Env.DeleteFile(String fname) |
tensorflow.Status |
tensorflow.FileSystem.DeleteRecursively(BytePointer dirname,
long[] undeleted_files,
long... undeleted_dirs) |
tensorflow.Status |
tensorflow.Env.DeleteRecursively(BytePointer dirname,
long[] undeleted_files,
long... undeleted_dirs) |
tensorflow.Status |
tensorflow.FileSystem.DeleteRecursively(BytePointer dirname,
LongBuffer undeleted_files,
LongBuffer undeleted_dirs) |
tensorflow.Status |
tensorflow.Env.DeleteRecursively(BytePointer dirname,
LongBuffer undeleted_files,
LongBuffer undeleted_dirs) |
tensorflow.Status |
tensorflow.FileSystem.DeleteRecursively(BytePointer dirname,
LongPointer undeleted_files,
LongPointer undeleted_dirs)
\brief Deletes the specified directory and all subdirectories and files
underneath it.
|
tensorflow.Status |
tensorflow.Env.DeleteRecursively(BytePointer dirname,
LongPointer undeleted_files,
LongPointer undeleted_dirs)
\brief Deletes the specified directory and all subdirectories and files
underneath it.
|
tensorflow.Status |
tensorflow.FileSystem.DeleteRecursively(String dirname,
long[] undeleted_files,
long... undeleted_dirs) |
tensorflow.Status |
tensorflow.Env.DeleteRecursively(String dirname,
long[] undeleted_files,
long... undeleted_dirs) |
tensorflow.Status |
tensorflow.FileSystem.DeleteRecursively(String dirname,
LongBuffer undeleted_files,
LongBuffer undeleted_dirs) |
tensorflow.Status |
tensorflow.Env.DeleteRecursively(String dirname,
LongBuffer undeleted_files,
LongBuffer undeleted_dirs) |
tensorflow.Status |
tensorflow.FileSystem.DeleteRecursively(String dirname,
LongPointer undeleted_files,
LongPointer undeleted_dirs) |
tensorflow.Status |
tensorflow.Env.DeleteRecursively(String dirname,
LongPointer undeleted_files,
LongPointer undeleted_dirs) |
tensorflow.Status |
tensorflow.SessionState.DeleteTensor(BytePointer handle) |
tensorflow.Status |
tensorflow.SessionState.DeleteTensor(String handle) |
tensorflow.Status |
tensorflow.InferenceContext.Divide(tensorflow.DimensionHandle dividend,
tensorflow.DimensionOrConstant divisor,
boolean evenly_divisible,
tensorflow.DimensionHandle out) |
tensorflow.Status |
tensorflow.Scope.DoShapeInference(tensorflow.Node node) |
tensorflow.Status |
tensorflow.Session.Extend(tensorflow.GraphDef graph)
\brief Adds operations to the graph that is already registered with the
Session.
|
tensorflow.Status |
tensorflow.Session.Extend(tensorflow.RunOptions run_options,
tensorflow.GraphDef graph) |
tensorflow.Status |
tensorflow.FileSystem.FileExists(BytePointer fname)
Returns OK if the named path exists and NOT_FOUND otherwise.
|
tensorflow.Status |
tensorflow.Env.FileExists(BytePointer fname)
Returns OK if the named path exists and NOT_FOUND otherwise.
|
tensorflow.Status |
tensorflow.FileSystem.FileExists(String fname) |
tensorflow.Status |
tensorflow.Env.FileExists(String fname) |
static tensorflow.Status |
tensorflow.FileSystemCopyFile(tensorflow.FileSystem src_fs,
BytePointer src,
tensorflow.FileSystem target_fs,
BytePointer target)
A utility routine: copy contents of src in file system src_fs
to target in file system target_fs.
|
static tensorflow.Status |
tensorflow.FileSystemCopyFile(tensorflow.FileSystem src_fs,
String src,
tensorflow.FileSystem target_fs,
String target) |
tensorflow.Status |
tensorflow.Device.FillContextMap(tensorflow.Graph graph,
tensorflow.DeviceContextVector device_context_map) |
tensorflow.Status |
tensorflow.NodeBuilder.Finalize(tensorflow.Graph graph,
PointerPointer created_node) |
tensorflow.Status |
tensorflow.NodeBuilder.Finalize(tensorflow.Graph graph,
tensorflow.Node created_node) |
tensorflow.Status |
tensorflow.NodeDefBuilder.Finalize(tensorflow.NodeDef node_def) |
tensorflow.Status |
tensorflow.OpDefBuilder.Finalize(tensorflow.OpRegistrationData op_reg_data) |
tensorflow.Status |
tensorflow.AttrSlice.Find(BytePointer attr_name,
PointerPointer attr_value) |
tensorflow.Status |
tensorflow.AttrSlice.Find(BytePointer attr_name,
tensorflow.AttrValue attr_value) |
tensorflow.Status |
tensorflow.AttrSlice.Find(String attr_name,
tensorflow.AttrValue attr_value) |
static tensorflow.Status |
tensorflow.FindKernelDef(tensorflow.DeviceType device_type,
tensorflow.NodeDef node_def,
PointerPointer def,
BytePointer kernel_class_name) |
static tensorflow.Status |
tensorflow.FindKernelDef(tensorflow.DeviceType device_type,
tensorflow.NodeDef node_def,
tensorflow.KernelDef def,
BytePointer kernel_class_name) |
tensorflow.Status |
tensorflow.OpSegment.FindOrCreate(BytePointer session_handle,
BytePointer node_name,
PointerPointer kernel,
Pointer create_fn) |
tensorflow.Status |
tensorflow.OpSegment.FindOrCreate(BytePointer session_handle,
BytePointer node_name,
tensorflow.OpKernel kernel,
Pointer create_fn) |
tensorflow.Status |
tensorflow.OpSegment.FindOrCreate(String session_handle,
String node_name,
tensorflow.OpKernel kernel,
Pointer create_fn) |
tensorflow.Status |
tensorflow.BundleWriter.Finish() |
tensorflow.Status |
tensorflow.ZlibOutputBuffer.Flush() |
tensorflow.Status |
tensorflow.RecordWriter.Flush() |
tensorflow.Status |
tensorflow.WritableFile.Flush()
\brief Flushes the file and optionally syncs contents to filesystem.
|
tensorflow.Status |
tensorflow.Env.FlushFileSystemCaches()
\brief Flush filesystem caches for all registered filesystems.
|
tensorflow.Status |
tensorflow.OpKernelContext.forward_input_or_allocate_output(int[] candidate_input_indices,
int output_index,
tensorflow.TensorShape output_shape,
tensorflow.Tensor output) |
tensorflow.Status |
tensorflow.OpKernelContext.forward_input_or_allocate_output(IntBuffer candidate_input_indices,
int output_index,
tensorflow.TensorShape output_shape,
tensorflow.Tensor output) |
tensorflow.Status |
tensorflow.OpKernelContext.forward_input_or_allocate_output(IntPointer candidate_input_indices,
int output_index,
tensorflow.TensorShape output_shape,
PointerPointer output) |
tensorflow.Status |
tensorflow.OpKernelContext.forward_input_or_allocate_output(IntPointer candidate_input_indices,
int output_index,
tensorflow.TensorShape output_shape,
tensorflow.Tensor output) |
tensorflow.Status |
tensorflow.OpKernelContext.forward_input_or_allocate_output(tensorflow.StringPieceVector candidate_input_names,
BytePointer output_name,
tensorflow.TensorShape output_shape,
PointerPointer output) |
tensorflow.Status |
tensorflow.OpKernelContext.forward_input_or_allocate_output(tensorflow.StringPieceVector candidate_input_names,
BytePointer output_name,
tensorflow.TensorShape output_shape,
tensorflow.Tensor output) |
tensorflow.Status |
tensorflow.OpKernelContext.forward_input_or_allocate_output(tensorflow.StringPieceVector candidate_input_names,
String output_name,
tensorflow.TensorShape output_shape,
tensorflow.Tensor output) |
tensorflow.Status |
tensorflow.OpKernelContext.forward_input_or_allocate_temp(int[] candidate_input_indices,
int type,
tensorflow.TensorShape shape,
tensorflow.AllocatorAttributes allocator_attr,
tensorflow.Tensor out_temp) |
tensorflow.Status |
tensorflow.OpKernelContext.forward_input_or_allocate_temp(int[] candidate_input_indices,
int type,
tensorflow.TensorShape shape,
tensorflow.Tensor out_temp) |
tensorflow.Status |
tensorflow.OpKernelContext.forward_input_or_allocate_temp(IntBuffer candidate_input_indices,
int type,
tensorflow.TensorShape shape,
tensorflow.AllocatorAttributes allocator_attr,
tensorflow.Tensor out_temp) |
tensorflow.Status |
tensorflow.OpKernelContext.forward_input_or_allocate_temp(IntBuffer candidate_input_indices,
int type,
tensorflow.TensorShape shape,
tensorflow.Tensor out_temp) |
tensorflow.Status |
tensorflow.OpKernelContext.forward_input_or_allocate_temp(IntPointer candidate_input_indices,
int type,
tensorflow.TensorShape shape,
tensorflow.AllocatorAttributes allocator_attr,
tensorflow.Tensor out_temp) |
tensorflow.Status |
tensorflow.OpKernelContext.forward_input_or_allocate_temp(IntPointer candidate_input_indices,
int type,
tensorflow.TensorShape shape,
tensorflow.Tensor out_temp) |
tensorflow.Status |
tensorflow.OpKernelContext.forward_input_to_output_with_shape(BytePointer input_name,
BytePointer output_name,
tensorflow.TensorShape output_shape,
PointerPointer output) |
tensorflow.Status |
tensorflow.OpKernelContext.forward_input_to_output_with_shape(BytePointer input_name,
BytePointer output_name,
tensorflow.TensorShape output_shape,
tensorflow.Tensor output) |
tensorflow.Status |
tensorflow.OpKernelContext.forward_input_to_output_with_shape(String input_name,
String output_name,
tensorflow.TensorShape output_shape,
tensorflow.Tensor output) |
tensorflow.Status |
tensorflow.CallFrameInterface.GetArg(int index,
tensorflow.Tensor val) |
tensorflow.Status |
tensorflow.FunctionCallFrame.GetArg(int index,
tensorflow.Tensor val) |
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) |
tensorflow.Status |
tensorflow.ProcessFunctionLibraryRuntime.GetDeviceIncarnation(BytePointer device_name,
long... incarnation) |
tensorflow.Status |
tensorflow.ProcessFunctionLibraryRuntime.GetDeviceIncarnation(BytePointer device_name,
LongBuffer incarnation) |
tensorflow.Status |
tensorflow.ProcessFunctionLibraryRuntime.GetDeviceIncarnation(BytePointer device_name,
LongPointer incarnation) |
tensorflow.Status |
tensorflow.ProcessFunctionLibraryRuntime.GetDeviceIncarnation(String device_name,
long... incarnation) |
tensorflow.Status |
tensorflow.ProcessFunctionLibraryRuntime.GetDeviceIncarnation(String device_name,
LongBuffer incarnation) |
tensorflow.Status |
tensorflow.ProcessFunctionLibraryRuntime.GetDeviceIncarnation(String device_name,
LongPointer incarnation) |
tensorflow.Status |
tensorflow.FileSystem.GetFileSize(BytePointer fname,
long... file_size) |
tensorflow.Status |
tensorflow.Env.GetFileSize(BytePointer fname,
long... file_size) |
tensorflow.Status |
tensorflow.FileSystem.GetFileSize(BytePointer fname,
LongBuffer file_size) |
tensorflow.Status |
tensorflow.Env.GetFileSize(BytePointer fname,
LongBuffer file_size) |
tensorflow.Status |
tensorflow.FileSystem.GetFileSize(BytePointer fname,
LongPointer file_size)
\brief Stores the size of fname in *file_size.
|
tensorflow.Status |
tensorflow.Env.GetFileSize(BytePointer fname,
LongPointer file_size)
Stores the size of fname in *file_size.
|
tensorflow.Status |
tensorflow.FileSystem.GetFileSize(String fname,
long... file_size) |
tensorflow.Status |
tensorflow.Env.GetFileSize(String fname,
long... file_size) |
tensorflow.Status |
tensorflow.FileSystem.GetFileSize(String fname,
LongBuffer file_size) |
tensorflow.Status |
tensorflow.Env.GetFileSize(String fname,
LongBuffer file_size) |
tensorflow.Status |
tensorflow.FileSystem.GetFileSize(String fname,
LongPointer file_size) |
tensorflow.Status |
tensorflow.Env.GetFileSize(String fname,
LongPointer file_size) |
tensorflow.Status |
tensorflow.Env.GetFileSystemForFile(BytePointer fname,
PointerPointer result)
\brief Returns the FileSystem object to handle operations on the file
specified by 'fname'.
|
tensorflow.Status |
tensorflow.EnvWrapper.GetFileSystemForFile(BytePointer fname,
PointerPointer result) |
tensorflow.Status |
tensorflow.Env.GetFileSystemForFile(BytePointer fname,
tensorflow.FileSystem result) |
tensorflow.Status |
tensorflow.EnvWrapper.GetFileSystemForFile(BytePointer fname,
tensorflow.FileSystem result) |
tensorflow.Status |
tensorflow.Env.GetFileSystemForFile(String fname,
tensorflow.FileSystem result) |
tensorflow.Status |
tensorflow.EnvWrapper.GetFileSystemForFile(String fname,
tensorflow.FileSystem result) |
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) |
tensorflow.Status |
tensorflow.RecordReader.GetMetadata(tensorflow.RecordReader.Metadata md) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
BytePointer attr_name,
BoolPointer value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
BytePointer attr_name,
BytePointer value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
BytePointer attr_name,
float... value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
BytePointer attr_name,
FloatBuffer value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
BytePointer attr_name,
FloatPointer value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
BytePointer attr_name,
int... value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
BytePointer attr_name,
IntBuffer value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
BytePointer attr_name,
IntPointer value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
BytePointer attr_name,
long... value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
BytePointer attr_name,
LongBuffer value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
BytePointer attr_name,
LongPointer value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
BytePointer attr_name,
PointerPointer value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
BytePointer attr_name,
tensorflow.DataTypeVector value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
BytePointer attr_name,
tensorflow.NameAttrList value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
BytePointer attr_name,
tensorflow.PartialTensorShape value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
BytePointer attr_name,
tensorflow.StringVector value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
BytePointer attr_name,
tensorflow.Tensor value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
BytePointer attr_name,
tensorflow.TensorProto value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
BytePointer attr_name,
tensorflow.TensorShape value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
BytePointer attr_name,
tensorflow.TensorShapeProto value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
BytePointer attr_name,
tensorflow.TensorShapeVector value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
BytePointer attr_name,
tensorflow.TensorVector value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
String attr_name,
boolean... value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
String attr_name,
BytePointer value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
String attr_name,
float... value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
String attr_name,
FloatBuffer value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
String attr_name,
FloatPointer value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
String attr_name,
int... value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
String attr_name,
IntBuffer value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
String attr_name,
IntPointer value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
String attr_name,
long... value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
String attr_name,
LongBuffer value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
String attr_name,
LongPointer value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
String attr_name,
tensorflow.DataTypeVector value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
String attr_name,
tensorflow.NameAttrList value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
String attr_name,
tensorflow.PartialTensorShape value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
String attr_name,
tensorflow.StringVector value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
String attr_name,
tensorflow.Tensor value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
String attr_name,
tensorflow.TensorProto value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
String attr_name,
tensorflow.TensorShape value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
String attr_name,
tensorflow.TensorShapeProto value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
String attr_name,
tensorflow.TensorShapeVector value) |
static tensorflow.Status |
tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs,
String attr_name,
tensorflow.TensorVector value) |
static tensorflow.Status |
tensorflow.GetOpGradientCreator(BytePointer op,
Pointer creator) |
static tensorflow.Status |
tensorflow.GetOpGradientCreator(String op,
Pointer creator) |
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.Status |
tensorflow.FunctionCallFrame.GetRetvals(tensorflow.TensorVector rets) |
tensorflow.Status |
tensorflow.InferenceContext.GetScalarFromTensor(tensorflow.Tensor t,
long... val) |
tensorflow.Status |
tensorflow.InferenceContext.GetScalarFromTensor(tensorflow.Tensor t,
LongBuffer val) |
tensorflow.Status |
tensorflow.InferenceContext.GetScalarFromTensor(tensorflow.Tensor t,
LongPointer val) |
tensorflow.Status |
tensorflow.Env.GetSymbolFromLibrary(Pointer handle,
BytePointer symbol_name,
Pointer symbol) |
tensorflow.Status |
tensorflow.EnvWrapper.GetSymbolFromLibrary(Pointer handle,
BytePointer symbol_name,
Pointer symbol) |
tensorflow.Status |
tensorflow.Env.GetSymbolFromLibrary(Pointer handle,
BytePointer symbol_name,
PointerPointer symbol) |
tensorflow.Status |
tensorflow.EnvWrapper.GetSymbolFromLibrary(Pointer handle,
BytePointer symbol_name,
PointerPointer symbol) |
tensorflow.Status |
tensorflow.Env.GetSymbolFromLibrary(Pointer handle,
String symbol_name,
Pointer symbol) |
tensorflow.Status |
tensorflow.EnvWrapper.GetSymbolFromLibrary(Pointer handle,
String symbol_name,
Pointer symbol) |
tensorflow.Status |
tensorflow.SessionState.GetTensor(BytePointer handle,
tensorflow.Tensor tensor) |
tensorflow.Status |
tensorflow.TensorSliceReader.GetTensor(BytePointer name,
tensorflow.Tensor out_tensor) |
tensorflow.Status |
tensorflow.SessionState.GetTensor(String handle,
tensorflow.Tensor tensor) |
tensorflow.Status |
tensorflow.TensorSliceReader.GetTensor(String name,
tensorflow.Tensor out_tensor) |
static tensorflow.Status |
tensorflow.ImportGraphDef(tensorflow.ImportGraphDefOptions opts,
tensorflow.GraphDef gdef,
tensorflow.Graph g,
tensorflow.ShapeRefiner refiner) |
static tensorflow.Status |
tensorflow.ImportGraphDef(tensorflow.ImportGraphDefOptions opts,
tensorflow.GraphDef gdef,
tensorflow.Graph g,
tensorflow.ShapeRefiner refiner,
tensorflow.ImportGraphDefResults results) |
tensorflow.Status |
tensorflow.ZlibOutputBuffer.Init() |
static tensorflow.Status |
tensorflow.InOutTypesForNode(tensorflow.NodeDef node_def,
tensorflow.OpDef op_def,
tensorflow.DataTypeVector inputs,
tensorflow.DataTypeVector outputs) |
tensorflow.Status |
tensorflow.OpKernelContext.input_dtype(BytePointer name,
IntPointer dtype) |
tensorflow.Status |
tensorflow.OpKernelContext.input_dtype(String name,
IntPointer dtype) |
tensorflow.Status |
tensorflow.Node.input_edge(int idx,
PointerPointer e) |
tensorflow.Status |
tensorflow.Node.input_edge(int idx,
tensorflow.Edge e) |
tensorflow.Status |
tensorflow.Node.input_edges(tensorflow.EdgeVector edges) |
tensorflow.Status |
tensorflow.OpKernelContext.input_list(BytePointer name,
tensorflow.OpInputList list) |
tensorflow.Status |
tensorflow.OpKernelContext.input_list(String name,
tensorflow.OpInputList list) |
tensorflow.Status |
tensorflow.Node.input_node(int idx,
PointerPointer n) |
tensorflow.Status |
tensorflow.Node.input_node(int idx,
tensorflow.Node n) |
tensorflow.Status |
tensorflow.OpKernelContext.input_ref_mutex(BytePointer name,
Pointer out_mutex) |
tensorflow.Status |
tensorflow.OpKernelContext.input_ref_mutex(BytePointer name,
PointerPointer out_mutex) |
tensorflow.Status |
tensorflow.OpKernelContext.input_ref_mutex(String name,
Pointer out_mutex) |
tensorflow.Status |
tensorflow.OpKernelContext.input(BytePointer name,
PointerPointer tensor) |
tensorflow.Status |
tensorflow.InferenceContext.input(BytePointer input_name,
tensorflow.ShapeHandle output) |
tensorflow.Status |
tensorflow.OpKernelContext.input(BytePointer name,
tensorflow.Tensor tensor) |
tensorflow.Status |
tensorflow.InferenceContext.input(String input_name,
tensorflow.ShapeHandle output) |
tensorflow.Status |
tensorflow.OpKernelContext.input(String name,
tensorflow.Tensor tensor) |
tensorflow.Status |
tensorflow.OpKernel.InputRange(BytePointer input_name,
int[] start,
int... stop) |
tensorflow.Status |
tensorflow.OpKernel.InputRange(BytePointer input_name,
IntBuffer start,
IntBuffer stop) |
tensorflow.Status |
tensorflow.OpKernel.InputRange(BytePointer input_name,
IntPointer start,
IntPointer stop) |
tensorflow.Status |
tensorflow.OpKernel.InputRange(String input_name,
int[] start,
int... stop) |
tensorflow.Status |
tensorflow.OpKernel.InputRange(String input_name,
IntBuffer start,
IntBuffer stop) |
tensorflow.Status |
tensorflow.OpKernel.InputRange(String input_name,
IntPointer start,
IntPointer stop) |
static tensorflow.Status |
tensorflow.InputTypeForNode(tensorflow.NodeDef node_def,
tensorflow.OpDef op_def,
int input_port,
IntPointer input_type) |
static tensorflow.Status |
tensorflow.InputTypesForNode(tensorflow.NodeDef node_def,
tensorflow.OpDef op_def,
tensorflow.DataTypeVector inputs) |
tensorflow.Status |
tensorflow.FunctionLibraryRuntime.Instantiate(BytePointer function_name,
tensorflow.AttrSlice attrs,
long... handle) |
tensorflow.Status |
tensorflow.FunctionLibraryRuntime.Instantiate(BytePointer function_name,
tensorflow.AttrSlice attrs,
LongBuffer handle) |
tensorflow.Status |
tensorflow.FunctionLibraryRuntime.Instantiate(BytePointer function_name,
tensorflow.AttrSlice attrs,
LongPointer handle) |
tensorflow.Status |
tensorflow.FunctionLibraryRuntime.Instantiate(BytePointer function_name,
tensorflow.AttrSlice attrs,
tensorflow.FunctionLibraryRuntime.InstantiateOptions options,
long... handle) |
tensorflow.Status |
tensorflow.ProcessFunctionLibraryRuntime.Instantiate(BytePointer function_name,
tensorflow.AttrSlice attrs,
tensorflow.FunctionLibraryRuntime.InstantiateOptions options,
long... handle) |
tensorflow.Status |
tensorflow.FunctionLibraryRuntime.Instantiate(BytePointer function_name,
tensorflow.AttrSlice attrs,
tensorflow.FunctionLibraryRuntime.InstantiateOptions options,
LongBuffer handle) |
tensorflow.Status |
tensorflow.ProcessFunctionLibraryRuntime.Instantiate(BytePointer function_name,
tensorflow.AttrSlice attrs,
tensorflow.FunctionLibraryRuntime.InstantiateOptions options,
LongBuffer handle) |
tensorflow.Status |
tensorflow.FunctionLibraryRuntime.Instantiate(BytePointer function_name,
tensorflow.AttrSlice attrs,
tensorflow.FunctionLibraryRuntime.InstantiateOptions options,
LongPointer handle) |
tensorflow.Status |
tensorflow.ProcessFunctionLibraryRuntime.Instantiate(BytePointer function_name,
tensorflow.AttrSlice attrs,
tensorflow.FunctionLibraryRuntime.InstantiateOptions options,
LongPointer handle) |
tensorflow.Status |
tensorflow.DistributedFunctionLibraryRuntime.Instantiate(BytePointer function_name,
tensorflow.FunctionLibraryDefinition lib_def,
tensorflow.AttrSlice attrs,
tensorflow.FunctionLibraryRuntime.InstantiateOptions options,
long... handle) |
tensorflow.Status |
tensorflow.DistributedFunctionLibraryRuntime.Instantiate(BytePointer function_name,
tensorflow.FunctionLibraryDefinition lib_def,
tensorflow.AttrSlice attrs,
tensorflow.FunctionLibraryRuntime.InstantiateOptions options,
LongBuffer handle) |
tensorflow.Status |
tensorflow.DistributedFunctionLibraryRuntime.Instantiate(BytePointer function_name,
tensorflow.FunctionLibraryDefinition lib_def,
tensorflow.AttrSlice attrs,
tensorflow.FunctionLibraryRuntime.InstantiateOptions options,
LongPointer handle) |
tensorflow.Status |
tensorflow.FunctionLibraryRuntime.Instantiate(String function_name,
tensorflow.AttrSlice attrs,
long... handle) |
tensorflow.Status |
tensorflow.FunctionLibraryRuntime.Instantiate(String function_name,
tensorflow.AttrSlice attrs,
LongBuffer handle) |
tensorflow.Status |
tensorflow.FunctionLibraryRuntime.Instantiate(String function_name,
tensorflow.AttrSlice attrs,
LongPointer handle) |
tensorflow.Status |
tensorflow.FunctionLibraryRuntime.Instantiate(String function_name,
tensorflow.AttrSlice attrs,
tensorflow.FunctionLibraryRuntime.InstantiateOptions options,
long... handle) |
tensorflow.Status |
tensorflow.ProcessFunctionLibraryRuntime.Instantiate(String function_name,
tensorflow.AttrSlice attrs,
tensorflow.FunctionLibraryRuntime.InstantiateOptions options,
long... handle) |
tensorflow.Status |
tensorflow.FunctionLibraryRuntime.Instantiate(String function_name,
tensorflow.AttrSlice attrs,
tensorflow.FunctionLibraryRuntime.InstantiateOptions options,
LongBuffer handle) |
tensorflow.Status |
tensorflow.ProcessFunctionLibraryRuntime.Instantiate(String function_name,
tensorflow.AttrSlice attrs,
tensorflow.FunctionLibraryRuntime.InstantiateOptions options,
LongBuffer handle) |
tensorflow.Status |
tensorflow.FunctionLibraryRuntime.Instantiate(String function_name,
tensorflow.AttrSlice attrs,
tensorflow.FunctionLibraryRuntime.InstantiateOptions options,
LongPointer handle) |
tensorflow.Status |
tensorflow.ProcessFunctionLibraryRuntime.Instantiate(String function_name,
tensorflow.AttrSlice attrs,
tensorflow.FunctionLibraryRuntime.InstantiateOptions options,
LongPointer handle) |
tensorflow.Status |
tensorflow.DistributedFunctionLibraryRuntime.Instantiate(String function_name,
tensorflow.FunctionLibraryDefinition lib_def,
tensorflow.AttrSlice attrs,
tensorflow.FunctionLibraryRuntime.InstantiateOptions options,
long... handle) |
tensorflow.Status |
tensorflow.DistributedFunctionLibraryRuntime.Instantiate(String function_name,
tensorflow.FunctionLibraryDefinition lib_def,
tensorflow.AttrSlice attrs,
tensorflow.FunctionLibraryRuntime.InstantiateOptions options,
LongBuffer handle) |
tensorflow.Status |
tensorflow.DistributedFunctionLibraryRuntime.Instantiate(String function_name,
tensorflow.FunctionLibraryDefinition lib_def,
tensorflow.AttrSlice attrs,
tensorflow.FunctionLibraryRuntime.InstantiateOptions options,
LongPointer handle) |
static tensorflow.Status |
tensorflow.InstantiateFunction(tensorflow.FunctionDef fdef,
tensorflow.AttrSlice attr_values,
Pointer get_function,
tensorflow.InstantiationResult result) |
tensorflow.Status |
tensorflow.FileSystem.IsDirectory(BytePointer fname)
\brief Returns whether the given path is a directory or not.
|
tensorflow.Status |
tensorflow.Env.IsDirectory(BytePointer fname)
\brief Returns whether the given path is a directory or not.
|
tensorflow.Status |
tensorflow.FileSystem.IsDirectory(String fname) |
tensorflow.Status |
tensorflow.Env.IsDirectory(String fname) |
tensorflow.Status |
tensorflow.Graph.IsValidInputTensor(tensorflow.Node node,
int idx) |
tensorflow.Status |
tensorflow.Graph.IsValidNode(tensorflow.Node node) |
tensorflow.Status |
tensorflow.Graph.IsValidOutputTensor(tensorflow.Node node,
int idx) |
static tensorflow.Status |
tensorflow.TensorShapeBase.IsValidShape(tensorflow.TensorShapeProto proto)
Returns OK iff proto is a valid tensor shape, and a descriptive error
status otherwise.
|
tensorflow.Status |
tensorflow.Session.ListDevices(tensorflow.DeviceAttributes response)
\brief List devices in the session.
|
tensorflow.Status |
tensorflow.ApiDefMap.LoadApiDef(BytePointer api_def_file_contents) |
tensorflow.Status |
tensorflow.ApiDefMap.LoadApiDef(String api_def_file_contents) |
tensorflow.Status |
tensorflow.ApiDefMap.LoadFile(tensorflow.Env env,
BytePointer filename) |
tensorflow.Status |
tensorflow.ApiDefMap.LoadFile(tensorflow.Env env,
String filename) |
tensorflow.Status |
tensorflow.ApiDefMap.LoadFileList(tensorflow.Env env,
tensorflow.StringVector filenames) |
tensorflow.Status |
tensorflow.Env.LoadLibrary(BytePointer library_filename,
Pointer handle) |
tensorflow.Status |
tensorflow.EnvWrapper.LoadLibrary(BytePointer library_filename,
Pointer handle) |
tensorflow.Status |
tensorflow.Env.LoadLibrary(BytePointer library_filename,
PointerPointer handle) |
tensorflow.Status |
tensorflow.EnvWrapper.LoadLibrary(BytePointer library_filename,
PointerPointer handle) |
tensorflow.Status |
tensorflow.Env.LoadLibrary(String library_filename,
Pointer handle) |
tensorflow.Status |
tensorflow.EnvWrapper.LoadLibrary(String library_filename,
Pointer handle) |
static tensorflow.Status |
tensorflow.LoadSavedModel(tensorflow.SessionOptions session_options,
tensorflow.RunOptions run_options,
BytePointer export_dir,
tensorflow.StringUnorderedSet tags,
tensorflow.SavedModelBundle bundle)
Loads a SavedModel from the specified export directory.
|
static tensorflow.Status |
tensorflow.LoadSavedModel(tensorflow.SessionOptions session_options,
tensorflow.RunOptions run_options,
String export_dir,
tensorflow.StringUnorderedSet tags,
tensorflow.SavedModelBundle bundle) |
tensorflow.Status |
tensorflow.Session.LocalDeviceManager(PointerPointer output) |
tensorflow.Status |
tensorflow.Session.LocalDeviceManager(tensorflow.DeviceMgr output) |
tensorflow.Status |
tensorflow.OpRegistryInterface.LookUp(BytePointer op_type_name,
PointerPointer op_reg_data) |
tensorflow.Status |
tensorflow.OpRegistry.LookUp(BytePointer op_type_name,
PointerPointer op_reg_data) |
tensorflow.Status |
tensorflow.OpListOpRegistry.LookUp(BytePointer op_type_name,
PointerPointer op_reg_data) |
tensorflow.Status |
tensorflow.FunctionLibraryDefinition.LookUp(BytePointer op_type_name,
PointerPointer op_reg_data) |
tensorflow.Status |
tensorflow.OpRegistryInterface.LookUp(BytePointer op_type_name,
tensorflow.OpRegistrationData op_reg_data) |
tensorflow.Status |
tensorflow.OpRegistry.LookUp(BytePointer op_type_name,
tensorflow.OpRegistrationData op_reg_data) |
tensorflow.Status |
tensorflow.OpListOpRegistry.LookUp(BytePointer op_type_name,
tensorflow.OpRegistrationData op_reg_data) |
tensorflow.Status |
tensorflow.FunctionLibraryDefinition.LookUp(BytePointer op_type_name,
tensorflow.OpRegistrationData op_reg_data) |
tensorflow.Status |
tensorflow.BundleReader.Lookup(BytePointer key,
tensorflow.Tensor val) |
tensorflow.Status |
tensorflow.OpRegistryInterface.LookUp(String op_type_name,
tensorflow.OpRegistrationData op_reg_data) |
tensorflow.Status |
tensorflow.OpRegistry.LookUp(String op_type_name,
tensorflow.OpRegistrationData op_reg_data) |
tensorflow.Status |
tensorflow.OpListOpRegistry.LookUp(String op_type_name,
tensorflow.OpRegistrationData op_reg_data) |
tensorflow.Status |
tensorflow.FunctionLibraryDefinition.LookUp(String op_type_name,
tensorflow.OpRegistrationData op_reg_data) |
tensorflow.Status |
tensorflow.BundleReader.Lookup(String key,
tensorflow.Tensor val) |
tensorflow.Status |
tensorflow.DeviceMgr.LookupDevice(BytePointer name,
PointerPointer device) |
tensorflow.Status |
tensorflow.DeviceMgr.LookupDevice(BytePointer name,
tensorflow.Device device) |
tensorflow.Status |
tensorflow.DeviceMgr.LookupDevice(String name,
tensorflow.Device device) |
tensorflow.Status |
tensorflow.BundleReader.LookupDtypeAndShape(BytePointer key,
IntPointer dtype,
tensorflow.TensorShape shape) |
tensorflow.Status |
tensorflow.BundleReader.LookupDtypeAndShape(String key,
IntPointer dtype,
tensorflow.TensorShape shape) |
tensorflow.Status |
tensorflow.OpRegistryInterface.LookUpOpDef(BytePointer op_type_name,
PointerPointer op_def) |
tensorflow.Status |
tensorflow.OpRegistryInterface.LookUpOpDef(BytePointer op_type_name,
tensorflow.OpDef op_def) |
tensorflow.Status |
tensorflow.OpRegistryInterface.LookUpOpDef(String op_type_name,
tensorflow.OpDef op_def) |
tensorflow.Status |
tensorflow.BundleReader.LookupSlice(BytePointer full_tensor_key,
tensorflow.TensorSlice slice_spec,
tensorflow.Tensor val) |
tensorflow.Status |
tensorflow.BundleReader.LookupSlice(String full_tensor_key,
tensorflow.TensorSlice slice_spec,
tensorflow.Tensor val) |
tensorflow.Status |
tensorflow.BundleReader.LookupTensorShape(BytePointer key,
tensorflow.TensorShape shape) |
tensorflow.Status |
tensorflow.BundleReader.LookupTensorShape(String key,
tensorflow.TensorShape shape) |
tensorflow.Status |
tensorflow.BundleReader.LookupTensorSlices(BytePointer key,
tensorflow.TensorSlice slices) |
tensorflow.Status |
tensorflow.BundleReader.LookupTensorSlices(String key,
tensorflow.TensorSlice slices) |
tensorflow.Status |
tensorflow.Session.MakeCallable(tensorflow.CallableOptions callable_options,
long... out_handle) |
tensorflow.Status |
tensorflow.Session.MakeCallable(tensorflow.CallableOptions callable_options,
LongBuffer out_handle) |
tensorflow.Status |
tensorflow.Session.MakeCallable(tensorflow.CallableOptions callable_options,
LongPointer out_handle)
\brief Creates a handle for invoking the subgraph defined by
callable_options.
|
tensorflow.Status |
tensorflow.InferenceContext.MakeDimForScalarInput(int idx,
tensorflow.DimensionHandle out) |
tensorflow.Status |
tensorflow.InferenceContext.MakeDimForScalarInputWithNegativeIndexing(int idx,
int input_rank,
tensorflow.DimensionHandle out) |
static tensorflow.Status |
tensorflow.TensorShapeUtils.MakeShape(int[] dims,
long n,
tensorflow.PartialTensorShape out) |
static tensorflow.Status |
tensorflow.TensorShapeUtils.MakeShape(int[] dims,
long n,
tensorflow.TensorShape out) |
static tensorflow.Status |
tensorflow.TensorShapeUtils.MakeShape(int[] shape,
tensorflow.PartialTensorShape out) |
static tensorflow.Status |
tensorflow.TensorShapeUtils.MakeShape(int[] shape,
tensorflow.TensorShape out) |
static tensorflow.Status |
tensorflow.TensorShapeUtils.MakeShape(IntBuffer dims,
long n,
tensorflow.PartialTensorShape out) |
static tensorflow.Status |
tensorflow.TensorShapeUtils.MakeShape(IntBuffer dims,
long n,
tensorflow.TensorShape out) |
static tensorflow.Status |
tensorflow.TensorShapeUtils.MakeShape(IntBuffer shape,
tensorflow.PartialTensorShape out) |
static tensorflow.Status |
tensorflow.TensorShapeUtils.MakeShape(IntBuffer shape,
tensorflow.TensorShape out) |
static tensorflow.Status |
tensorflow.TensorShapeUtils.MakeShape(IntPointer dims,
long n,
tensorflow.PartialTensorShape out) |
static tensorflow.Status |
tensorflow.TensorShapeUtils.MakeShape(IntPointer dims,
long n,
tensorflow.TensorShape out)
\brief Returns a TensorShape whose dimensions are
dims[0], dims[1], ..., dims[n-1].
|
static tensorflow.Status |
tensorflow.TensorShapeUtils.MakeShape(IntPointer shape,
tensorflow.PartialTensorShape out) |
static tensorflow.Status |
tensorflow.TensorShapeUtils.MakeShape(IntPointer shape,
tensorflow.TensorShape out) |
static tensorflow.Status |
tensorflow.TensorShapeUtils.MakeShape(long[] dims,
long n,
tensorflow.PartialTensorShape out) |
static tensorflow.Status |
tensorflow.TensorShapeUtils.MakeShape(long[] dims,
long n,
tensorflow.TensorShape out) |
static tensorflow.Status |
tensorflow.TensorShapeUtils.MakeShape(long[] shape,
tensorflow.PartialTensorShape out) |
static tensorflow.Status |
tensorflow.TensorShapeUtils.MakeShape(long[] shape,
tensorflow.TensorShape out) |
static tensorflow.Status |
tensorflow.TensorShapeUtils.MakeShape(LongBuffer dims,
long n,
tensorflow.PartialTensorShape out) |
static tensorflow.Status |
tensorflow.TensorShapeUtils.MakeShape(LongBuffer dims,
long n,
tensorflow.TensorShape out) |
static tensorflow.Status |
tensorflow.TensorShapeUtils.MakeShape(LongBuffer shape,
tensorflow.PartialTensorShape out) |
static tensorflow.Status |
tensorflow.TensorShapeUtils.MakeShape(LongBuffer shape,
tensorflow.TensorShape out) |
static tensorflow.Status |
tensorflow.TensorShapeUtils.MakeShape(LongPointer dims,
long n,
tensorflow.PartialTensorShape out) |
static tensorflow.Status |
tensorflow.TensorShapeUtils.MakeShape(LongPointer dims,
long n,
tensorflow.TensorShape out) |
static tensorflow.Status |
tensorflow.TensorShapeUtils.MakeShape(LongPointer shape,
tensorflow.PartialTensorShape out) |
static tensorflow.Status |
tensorflow.TensorShapeUtils.MakeShape(LongPointer shape,
tensorflow.TensorShape out) |
tensorflow.Status |
tensorflow.OpKernel.MakeShape(tensorflow.Tensor shape,
tensorflow.TensorShape out) |
tensorflow.Status |
tensorflow.InferenceContext.MakeShapeFromPartialTensorShape(tensorflow.PartialTensorShape partial_shape,
tensorflow.ShapeHandle out) |
tensorflow.Status |
tensorflow.InferenceContext.MakeShapeFromShapeProto(tensorflow.TensorShapeProto proto,
tensorflow.ShapeHandle out) |
tensorflow.Status |
tensorflow.InferenceContext.MakeShapeFromShapeTensor(int input_idx,
tensorflow.ShapeHandle out) |
tensorflow.Status |
tensorflow.InferenceContext.MakeShapeFromShapeTensorTreatScalarAsUnknownShape(int input_idx,
tensorflow.ShapeHandle out) |
tensorflow.Status |
tensorflow.InferenceContext.MakeShapeFromTensor(tensorflow.Tensor t,
tensorflow.ShapeHandle tensor_shape,
tensorflow.ShapeHandle out) |
tensorflow.Status |
tensorflow.InferenceContext.MakeShapeFromTensorShape(tensorflow.TensorShape shape,
tensorflow.ShapeHandle out) |
tensorflow.Status |
tensorflow.DeviceBase.MakeTensorFromProto(tensorflow.TensorProto tensor_proto,
tensorflow.AllocatorAttributes alloc_attrs,
tensorflow.Tensor tensor) |
tensorflow.Status |
tensorflow.OpKernelConstruction.MatchSignature(tensorflow.DataTypeVector expected_inputs,
tensorflow.DataTypeVector expected_outputs) |
tensorflow.Status |
tensorflow.OpKernelContext.MatchSignature(tensorflow.DataTypeVector expected_inputs,
tensorflow.DataTypeVector expected_outputs) |
tensorflow.Status |
tensorflow.InferenceContext.Max(tensorflow.DimensionHandle first,
tensorflow.DimensionOrConstant second,
tensorflow.DimensionHandle out) |
static tensorflow.Status |
tensorflow.MaybeMoveSliceToElement(tensorflow.Tensor parent,
tensorflow.Tensor element,
long index) |
tensorflow.Status |
tensorflow.Device.MaybeRewriteGraph(tensorflow.Graph arg0) |
tensorflow.Status |
tensorflow.InferenceContext.Merge(tensorflow.DimensionHandle d0,
tensorflow.DimensionHandle d1,
tensorflow.DimensionHandle out) |
tensorflow.Status |
tensorflow.InferenceContext.Merge(tensorflow.ShapeHandle s0,
tensorflow.ShapeHandle s1,
tensorflow.ShapeHandle out) |
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 tensorflow.Status |
tensorflow.DeviceNameUtils.MergeDevNames(tensorflow.DeviceNameUtils.ParsedName target,
tensorflow.DeviceNameUtils.ParsedName other) |
static tensorflow.Status |
tensorflow.DeviceNameUtils.MergeDevNames(tensorflow.DeviceNameUtils.ParsedName target,
tensorflow.DeviceNameUtils.ParsedName other,
boolean allow_soft_placement) |
tensorflow.Status |
tensorflow.InferenceContext.MergePrefix(tensorflow.ShapeHandle s,
tensorflow.ShapeHandle prefix,
tensorflow.ShapeHandle s_out,
tensorflow.ShapeHandle prefix_out) |
tensorflow.Status |
tensorflow.PartialTensorShape.MergeWith(tensorflow.PartialTensorShape shape,
tensorflow.PartialTensorShape result)
Merges all the dimensions from shape.
|
static tensorflow.Status |
tensorflow.MessageToBuffer(tensorflow.MessageLite in,
tensorflow.TF_Buffer out) |
tensorflow.Status |
tensorflow.InferenceContext.Min(tensorflow.DimensionHandle first,
tensorflow.DimensionOrConstant second,
tensorflow.DimensionHandle out) |
tensorflow.Status |
tensorflow.InferenceContext.Multiply(tensorflow.DimensionHandle first,
tensorflow.DimensionOrConstant second,
tensorflow.DimensionHandle out) |
tensorflow.Status |
tensorflow.OpKernelContext.mutable_input_list(BytePointer name,
tensorflow.OpMutableInputList list) |
tensorflow.Status |
tensorflow.OpKernelContext.mutable_input_list(String name,
tensorflow.OpMutableInputList list) |
tensorflow.Status |
tensorflow.OpKernelContext.mutable_input(BytePointer name,
tensorflow.Tensor tensor,
boolean lock_held) |
tensorflow.Status |
tensorflow.OpKernelContext.mutable_input(String name,
tensorflow.Tensor tensor,
boolean lock_held) |
tensorflow.Status |
tensorflow.OpKernelContext.mutable_output(BytePointer name,
PointerPointer tensor) |
tensorflow.Status |
tensorflow.OpKernelContext.mutable_output(BytePointer name,
tensorflow.Tensor tensor) |
tensorflow.Status |
tensorflow.OpKernelContext.mutable_output(String name,
tensorflow.Tensor tensor) |
static tensorflow.Status |
tensorflow.NameRangesForNode(tensorflow.NodeDef node_def,
tensorflow.OpDef op_def,
tensorflow.NameRangeMap inputs,
tensorflow.NameRangeMap outputs) |
static tensorflow.Status |
tensorflow.NameRangesForNode(tensorflow.Node node,
tensorflow.OpDef op_def,
tensorflow.NameRangeMap inputs,
tensorflow.NameRangeMap outputs) |
tensorflow.Status |
tensorflow.FileSystem.NewAppendableFile(BytePointer fname,
tensorflow.WritableFile result)
\brief Creates an object that either appends to an existing file, or
writes to a new file (if the file does not exist to begin with).
|
tensorflow.Status |
tensorflow.Env.NewAppendableFile(BytePointer fname,
tensorflow.WritableFile result)
\brief Creates an object that either appends to an existing file, or
writes to a new file (if the file does not exist to begin with).
|
tensorflow.Status |
tensorflow.FileSystem.NewAppendableFile(String fname,
tensorflow.WritableFile result) |
tensorflow.Status |
tensorflow.Env.NewAppendableFile(String fname,
tensorflow.WritableFile result) |
tensorflow.Status |
tensorflow.FileSystem.NewRandomAccessFile(BytePointer fname,
tensorflow.RandomAccessFile result)
\brief Creates a brand new random access read-only file with the
specified name.
|
tensorflow.Status |
tensorflow.Env.NewRandomAccessFile(BytePointer fname,
tensorflow.RandomAccessFile result)
\brief Creates a brand new random access read-only file with the
specified name.
|
tensorflow.Status |
tensorflow.FileSystem.NewRandomAccessFile(String fname,
tensorflow.RandomAccessFile result) |
tensorflow.Status |
tensorflow.Env.NewRandomAccessFile(String fname,
tensorflow.RandomAccessFile result) |
tensorflow.Status |
tensorflow.FileSystem.NewReadOnlyMemoryRegionFromFile(BytePointer fname,
tensorflow.ReadOnlyMemoryRegion result)
\brief Creates a readonly region of memory with the file context.
|
tensorflow.Status |
tensorflow.Env.NewReadOnlyMemoryRegionFromFile(BytePointer fname,
tensorflow.ReadOnlyMemoryRegion result)
\brief Creates a readonly region of memory with the file context.
|
tensorflow.Status |
tensorflow.FileSystem.NewReadOnlyMemoryRegionFromFile(String fname,
tensorflow.ReadOnlyMemoryRegion result) |
tensorflow.Status |
tensorflow.Env.NewReadOnlyMemoryRegionFromFile(String fname,
tensorflow.ReadOnlyMemoryRegion result) |
static tensorflow.Status |
tensorflow.NewSession(tensorflow.SessionOptions options,
PointerPointer out_session)
\brief Create a new session with the given options.
|
static tensorflow.Status |
tensorflow.NewSession(tensorflow.SessionOptions options,
tensorflow.Session out_session) |
tensorflow.Status |
tensorflow.FileSystem.NewWritableFile(BytePointer fname,
tensorflow.WritableFile result)
\brief Creates an object that writes to a new file with the specified
name.
|
tensorflow.Status |
tensorflow.Env.NewWritableFile(BytePointer fname,
tensorflow.WritableFile result)
\brief Creates an object that writes to a new file with the specified
name.
|
tensorflow.Status |
tensorflow.FileSystem.NewWritableFile(String fname,
tensorflow.WritableFile result) |
tensorflow.Status |
tensorflow.Env.NewWritableFile(String fname,
tensorflow.WritableFile result) |
static tensorflow.Status |
tensorflow.TensorShapeUtils.NumElements(long[] shape,
long... num_elements) |
static tensorflow.Status |
tensorflow.TensorShapeUtils.NumElements(LongBuffer shape,
LongBuffer num_elements) |
static tensorflow.Status |
tensorflow.TensorShapeUtils.NumElements(LongPointer shape,
LongPointer num_elements)
\brief Returns the product of values in an int64 array,
or a failing Status if the array represents a value larger than
a TensorShape can hold.
|
static tensorflow.Status |
tensorflow.NumOutputsForNode(tensorflow.NodeDef node_def,
tensorflow.OpDef op_def,
int... num_outputs) |
static tensorflow.Status |
tensorflow.NumOutputsForNode(tensorflow.NodeDef node_def,
tensorflow.OpDef op_def,
IntBuffer num_outputs) |
static tensorflow.Status |
tensorflow.NumOutputsForNode(tensorflow.NodeDef node_def,
tensorflow.OpDef op_def,
IntPointer num_outputs) |
static tensorflow.Status |
tensorflow.Status.OK() |
static tensorflow.Status |
tensorflow.OpDefAddedDefaultsUnchanged(tensorflow.OpDef old_op,
tensorflow.OpDef penultimate_op,
tensorflow.OpDef new_op) |
static tensorflow.Status |
tensorflow.OpDefAttrDefaultsUnchanged(tensorflow.OpDef old_op,
tensorflow.OpDef new_op) |
static tensorflow.Status |
tensorflow.OpDefCompatible(tensorflow.OpDef old_op,
tensorflow.OpDef new_op) |
static tensorflow.Status |
tensorflow.OpenTableTensorSliceReader(BytePointer fname,
PointerPointer table) |
static tensorflow.Status |
tensorflow.OpenTableTensorSliceReader(BytePointer fname,
tensorflow.TensorSliceReader.Table table) |
static tensorflow.Status |
tensorflow.OpenTableTensorSliceReader(String fname,
tensorflow.TensorSliceReader.Table table) |
tensorflow.Status |
tensorflow.OpKernelContext.output_list(BytePointer name,
tensorflow.OpOutputList list) |
tensorflow.Status |
tensorflow.OpKernelContext.output_list(String name,
tensorflow.OpOutputList list) |
tensorflow.Status |
tensorflow.InferenceContext.output(BytePointer output_name,
tensorflow.ShapeHandle output) |
tensorflow.Status |
tensorflow.InferenceContext.output(String output_name,
tensorflow.ShapeHandle output) |
tensorflow.Status |
tensorflow.OpKernel.OutputRange(BytePointer output_name,
int[] start,
int... stop) |
tensorflow.Status |
tensorflow.OpKernel.OutputRange(BytePointer output_name,
IntBuffer start,
IntBuffer stop) |
tensorflow.Status |
tensorflow.OpKernel.OutputRange(BytePointer output_name,
IntPointer start,
IntPointer stop) |
tensorflow.Status |
tensorflow.OpKernel.OutputRange(String output_name,
int[] start,
int... stop) |
tensorflow.Status |
tensorflow.OpKernel.OutputRange(String output_name,
IntBuffer start,
IntBuffer stop) |
tensorflow.Status |
tensorflow.OpKernel.OutputRange(String output_name,
IntPointer start,
IntPointer stop) |
static tensorflow.Status |
tensorflow.OutputTypeForNode(tensorflow.NodeDef node_def,
tensorflow.OpDef op_def,
int output_port,
IntPointer output_type) |
static tensorflow.Status |
tensorflow.OutputTypesForNode(tensorflow.NodeDef node_def,
tensorflow.OpDef op_def,
tensorflow.DataTypeVector outputs) |
static tensorflow.Status |
tensorflow.TensorSlice.Parse(BytePointer str,
tensorflow.TensorSlice output) |
static tensorflow.Status |
tensorflow.TensorSlice.Parse(String str,
tensorflow.TensorSlice output) |
tensorflow.Status |
tensorflow.Status.position(long position) |
tensorflow.Status |
tensorflow.OpRegistry.ProcessRegistrations() |
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.Status |
tensorflow.RandomAccessFile.Read(long offset,
long n,
BytePointer result,
byte[] scratch) |
tensorflow.Status |
tensorflow.RandomAccessFile.Read(long offset,
long n,
BytePointer result,
ByteBuffer scratch) |
tensorflow.Status |
tensorflow.RandomAccessFile.Read(long offset,
long n,
BytePointer result,
BytePointer scratch)
\brief Reads up to n bytes from the file starting at offset.
|
static tensorflow.Status |
tensorflow.ReadBinaryProto(tensorflow.Env env,
BytePointer fname,
tensorflow.MessageLite proto)
Reads contents of named file and parse as binary encoded proto data
and store into *proto.
|
static tensorflow.Status |
tensorflow.ReadBinaryProto(tensorflow.Env env,
String fname,
tensorflow.MessageLite proto) |
tensorflow.Status |
tensorflow.BundleReader.ReadCurrent(tensorflow.Tensor val) |
static tensorflow.Status |
tensorflow.ReadFileToString(tensorflow.Env env,
BytePointer fname,
BytePointer data)
A utility routine: reads contents of named file into *data
|
static tensorflow.Status |
tensorflow.ReadFileToString(tensorflow.Env env,
String fname,
BytePointer data) |
tensorflow.Status |
tensorflow.InputStreamInterface.ReadNBytes(long bytes_to_read,
BytePointer result) |
tensorflow.Status |
tensorflow.SequentialRecordReader.ReadRecord(BytePointer record) |
tensorflow.Status |
tensorflow.RecordReader.ReadRecord(long[] offset,
BytePointer record) |
tensorflow.Status |
tensorflow.RecordReader.ReadRecord(LongBuffer offset,
BytePointer record) |
tensorflow.Status |
tensorflow.RecordReader.ReadRecord(LongPointer offset,
BytePointer record) |
static tensorflow.Status |
tensorflow.ReadTextProto(tensorflow.Env env,
BytePointer fname,
tensorflow.MessageLite proto)
Read contents of named file and parse as text encoded proto data
and store into *proto.
|
static tensorflow.Status |
tensorflow.ReadTextProto(tensorflow.Env env,
String fname,
tensorflow.MessageLite proto) |
tensorflow.Status |
tensorflow.FileSystem.RecursivelyCreateDir(BytePointer dirname)
\brief Creates the specified directory and all the necessary
subdirectories.
|
tensorflow.Status |
tensorflow.Env.RecursivelyCreateDir(BytePointer dirname)
\brief Creates the specified directory and all the necessary
subdirectories.
|
tensorflow.Status |
tensorflow.FileSystem.RecursivelyCreateDir(String dirname) |
tensorflow.Status |
tensorflow.Env.RecursivelyCreateDir(String dirname) |
tensorflow.Status |
tensorflow.FileSystemRegistry.Register(BytePointer scheme,
Pointer factory) |
tensorflow.Status |
tensorflow.FileSystemRegistry.Register(String scheme,
Pointer factory) |
tensorflow.Status |
tensorflow.TensorSliceSet.Register(tensorflow.TensorSlice slice,
BytePointer tag,
float... data) |
tensorflow.Status |
tensorflow.TensorSliceSet.Register(tensorflow.TensorSlice slice,
BytePointer tag,
FloatBuffer data) |
tensorflow.Status |
tensorflow.TensorSliceSet.Register(tensorflow.TensorSlice slice,
BytePointer tag,
FloatPointer data) |
tensorflow.Status |
tensorflow.TensorSliceSet.Register(tensorflow.TensorSlice slice,
String tag,
float... data) |
tensorflow.Status |
tensorflow.TensorSliceSet.Register(tensorflow.TensorSlice slice,
String tag,
FloatBuffer data) |
tensorflow.Status |
tensorflow.TensorSliceSet.Register(tensorflow.TensorSlice slice,
String tag,
FloatPointer data) |
tensorflow.Status |
tensorflow.Env.RegisterFileSystem(BytePointer scheme,
Pointer factory)
\brief Register a file system for a scheme.
|
tensorflow.Status |
tensorflow.EnvWrapper.RegisterFileSystem(BytePointer scheme,
Pointer factory) |
tensorflow.Status |
tensorflow.Env.RegisterFileSystem(String scheme,
Pointer factory) |
tensorflow.Status |
tensorflow.EnvWrapper.RegisterFileSystem(String scheme,
Pointer factory) |
static tensorflow.Status |
tensorflow.RegisterTensorSlice(BytePointer name,
tensorflow.TensorShape shape,
int type,
BytePointer tag,
tensorflow.TensorSlice slice,
tensorflow.StringTensorSliceSetMap tensor_slices) |
static tensorflow.Status |
tensorflow.RegisterTensorSlice(String name,
tensorflow.TensorShape shape,
int type,
String tag,
tensorflow.TensorSlice slice,
tensorflow.StringTensorSliceSetMap tensor_slices) |
tensorflow.Status |
tensorflow.DeviceBase.ReinitializeGpuDevice(tensorflow.OpKernelContext arg0,
tensorflow.PerOpGpuDevice arg1,
tensorflow.DeviceContext arg2,
tensorflow.Allocator arg3) |
tensorflow.Status |
tensorflow.Session.ReleaseCallable(long handle)
\brief Releases resources associated with the given handle in this
session.
|
tensorflow.Status |
tensorflow.FunctionLibraryRuntime.ReleaseHandle(long handle) |
tensorflow.Status |
tensorflow.ProcessFunctionLibraryRuntime.ReleaseHandle(long handle) |
tensorflow.Status |
tensorflow.FileSystem.RenameFile(BytePointer src,
BytePointer target)
\brief Overwrites the target if it exists.
|
tensorflow.Status |
tensorflow.Env.RenameFile(BytePointer src,
BytePointer target)
\brief Renames file src to target.
|
tensorflow.Status |
tensorflow.FileSystem.RenameFile(String src,
String target) |
tensorflow.Status |
tensorflow.Env.RenameFile(String src,
String target) |
tensorflow.Status |
tensorflow.OpKernelContext.replace_ref_input(BytePointer name,
tensorflow.Tensor tensor,
boolean lock_held) |
tensorflow.Status |
tensorflow.OpKernelContext.replace_ref_input(String name,
tensorflow.Tensor tensor,
boolean lock_held) |
tensorflow.Status |
tensorflow.InferenceContext.ReplaceDim(tensorflow.ShapeHandle s,
long dim_index,
tensorflow.DimensionHandle new_dim,
tensorflow.ShapeHandle out) |
tensorflow.Status |
tensorflow.FunctionLibraryDefinition.ReplaceFunction(BytePointer func,
tensorflow.FunctionDef fdef) |
tensorflow.Status |
tensorflow.FunctionLibraryDefinition.ReplaceFunction(String func,
tensorflow.FunctionDef fdef) |
tensorflow.Status |
tensorflow.FunctionLibraryDefinition.ReplaceGradient(tensorflow.GradientDef grad) |
tensorflow.Status |
tensorflow.InputStreamInterface.Reset() |
static tensorflow.Status |
tensorflow.Reset(tensorflow.SessionOptions options,
tensorflow.StringVector containers)
\brief Resets resource containers associated with a target.
|
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.InferenceContext.Run(tensorflow.ShapeInferenceFn fn) |
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.Session.RunCallable(long handle,
tensorflow.TensorVector feed_tensors,
tensorflow.TensorVector fetch_tensors,
tensorflow.RunMetadata run_metadata)
\brief Invokes the subgraph named by handle with the given options and
input tensors.
|
tensorflow.Status |
tensorflow.TensorStore.SaveTensors(tensorflow.StringVector output_names,
tensorflow.SessionState session_state) |
tensorflow.Status |
tensorflow.SequentialRecordReader.SeekOffset(long offset) |
static tensorflow.Status |
tensorflow.ProcessFunctionLibraryRuntime.SendTensors(BytePointer source_device,
BytePointer target_device,
BytePointer key_prefix,
long src_incarnation,
tensorflow.TensorVector tensors_to_send,
tensorflow.DeviceContext device_context,
tensorflow.AllocatorAttributes alloc_attrs,
tensorflow.Rendezvous rendezvous) |
static tensorflow.Status |
tensorflow.ProcessFunctionLibraryRuntime.SendTensors(String source_device,
String target_device,
String key_prefix,
long src_incarnation,
tensorflow.TensorVector tensors_to_send,
tensorflow.DeviceContext device_context,
tensorflow.AllocatorAttributes alloc_attrs,
tensorflow.Rendezvous rendezvous) |
tensorflow.Status |
tensorflow.OpKernelContext.set_output_ref(BytePointer name,
Pointer mu,
tensorflow.Tensor tensor_for_ref) |
tensorflow.Status |
tensorflow.OpKernelContext.set_output_ref(String name,
Pointer mu,
tensorflow.Tensor tensor_for_ref) |
tensorflow.Status |
tensorflow.InferenceContext.set_output(BytePointer output_name,
tensorflow.ShapeHandle shapes) |
tensorflow.Status |
tensorflow.OpKernelContext.set_output(BytePointer name,
tensorflow.Tensor tensor) |
tensorflow.Status |
tensorflow.InferenceContext.set_output(String output_name,
tensorflow.ShapeHandle shapes) |
tensorflow.Status |
tensorflow.OpKernelContext.set_output(String name,
tensorflow.Tensor tensor) |
tensorflow.Status |
tensorflow.FunctionCallFrame.SetArgs(tensorflow.TensorVector args) |
tensorflow.Status |
tensorflow.CallFrameInterface.SetRetval(int index,
tensorflow.Tensor val) |
tensorflow.Status |
tensorflow.FunctionCallFrame.SetRetval(int index,
tensorflow.Tensor val) |
tensorflow.Status |
tensorflow.ShapeRefiner.SetShape(tensorflow.Node node,
int output_port,
tensorflow.ShapeHandle shape) |
tensorflow.Status |
tensorflow.OpRegistry.SetWatcher(Pointer watcher) |
tensorflow.Status |
tensorflow.InputStreamInterface.SkipNBytes(long bytes_to_skip) |
tensorflow.Status |
tensorflow.TensorSlice.SliceTensorShape(tensorflow.TensorShape shape,
tensorflow.TensorShape result_shape) |
static tensorflow.Status |
tensorflow.Split(tensorflow.Tensor tensor,
long[] sizes,
tensorflow.TensorVector result) |
static tensorflow.Status |
tensorflow.Split(tensorflow.Tensor tensor,
LongBuffer sizes,
tensorflow.TensorVector result) |
static tensorflow.Status |
tensorflow.Split(tensorflow.Tensor tensor,
LongPointer sizes,
tensorflow.TensorVector result) |
tensorflow.Status |
tensorflow.FileSystem.Stat(BytePointer fname,
tensorflow.FileStatistics stat)
\brief Obtains statistics for the given path.
|
tensorflow.Status |
tensorflow.Env.Stat(BytePointer fname,
tensorflow.FileStatistics stat)
Obtains statistics for the given path.
|
tensorflow.Status |
tensorflow.FileSystem.Stat(String fname,
tensorflow.FileStatistics stat) |
tensorflow.Status |
tensorflow.Env.Stat(String fname,
tensorflow.FileStatistics stat) |
tensorflow.Status |
tensorflow.OpKernelConstruction.status() |
tensorflow.Status |
tensorflow.OpKernelContext.status() |
tensorflow.Status |
tensorflow.TensorSliceReader.status() |
tensorflow.Status |
tensorflow.BundleWriter.status() |
tensorflow.Status |
tensorflow.BundleReader.status() |
tensorflow.Status |
tensorflow.TF_Status.status() |
tensorflow.Status |
tensorflow.Scope.status() |
tensorflow.Status |
tensorflow.Input.status() |
tensorflow.Status |
tensorflow.Input.Initializer.status() |
static tensorflow.Status |
tensorflow.StatusFromTF_Status(tensorflow.TF_Status tf_status) |
tensorflow.Status |
tensorflow.InferenceContext.Subshape(tensorflow.ShapeHandle s,
long start,
long end,
long stride,
tensorflow.ShapeHandle out) |
tensorflow.Status |
tensorflow.InferenceContext.Subshape(tensorflow.ShapeHandle s,
long start,
long end,
tensorflow.ShapeHandle out) |
tensorflow.Status |
tensorflow.InferenceContext.Subshape(tensorflow.ShapeHandle s,
long start,
tensorflow.ShapeHandle out) |
tensorflow.Status |
tensorflow.InferenceContext.Subtract(tensorflow.DimensionHandle first,
tensorflow.DimensionOrConstant second,
tensorflow.DimensionHandle out) |
static tensorflow.Status |
tensorflow.SupportedDeviceTypesForNode(tensorflow.DeviceType prioritized_types,
tensorflow.NodeDef def,
tensorflow.DeviceTypeVector device_types) |
tensorflow.Status |
tensorflow.ZlibOutputBuffer.Sync() |
tensorflow.Status |
tensorflow.WritableFile.Sync()
\brief Syncs contents of file to filesystem.
|
tensorflow.Status |
tensorflow.Device.Sync() |
static tensorflow.Status |
tensorflow.TF_TensorToTensor(tensorflow.TF_Tensor src,
tensorflow.Tensor dst) |
tensorflow.Status |
tensorflow.DeviceContext.ThenExecute(tensorflow.Device device,
tensorflow.Stream stream,
tensorflow.Fn func) |
tensorflow.Status |
tensorflow.Scope.ToGraph(tensorflow.Graph g)
If status() is Status::OK(), construct a Graph object using the default
GraphConstructorOptions, and return Status::OK if graph construction was
successful.
|
tensorflow.Status |
tensorflow.GraphDefBuilder.ToGraphDef(tensorflow.GraphDef graph_def) |
tensorflow.Status |
tensorflow.Scope.ToGraphDef(tensorflow.GraphDef gdef)
If status() is Status::OK(), convert the Graph object stored in this scope
to a GraphDef proto and return Status::OK().
|
tensorflow.Status |
tensorflow.Graph.UpdateEdge(tensorflow.Node new_src,
int new_src_index,
tensorflow.Node dst,
int dst_index) |
tensorflow.Status |
tensorflow.ShapeRefiner.UpdateNode(tensorflow.Node node,
boolean relax,
boolean... refined) |
tensorflow.Status |
tensorflow.ShapeRefiner.UpdateNode(tensorflow.Node node,
boolean relax,
BoolPointer refined) |
static tensorflow.Status |
tensorflow.ValidateAttrValue(tensorflow.AttrValue attr_value,
tensorflow.OpDef_AttrDef attr) |
static tensorflow.Status |
tensorflow.ValidateExternalNodeDefSyntax(tensorflow.NodeDef node_def) |
static tensorflow.Status |
tensorflow.ValidateKernelRegistrations(tensorflow.OpRegistryInterface op_registry) |
static tensorflow.Status |
tensorflow.ValidateNodeDef(tensorflow.NodeDef node_def,
tensorflow.OpDef op_def) |
static tensorflow.Status |
tensorflow.ValidateOpDef(tensorflow.OpDef op_def) |
tensorflow.Status |
tensorflow.InferenceContext.WithRank(tensorflow.ShapeHandle shape,
long rank,
tensorflow.ShapeHandle out) |
tensorflow.Status |
tensorflow.InferenceContext.WithRankAtLeast(tensorflow.ShapeHandle shape,
long rank,
tensorflow.ShapeHandle out) |
tensorflow.Status |
tensorflow.InferenceContext.WithRankAtMost(tensorflow.ShapeHandle shape,
long rank,
tensorflow.ShapeHandle out) |
tensorflow.Status |
tensorflow.InferenceContext.WithValue(tensorflow.DimensionHandle dim,
long value,
tensorflow.DimensionHandle out) |
static tensorflow.Status |
tensorflow.WriteBinaryProto(tensorflow.Env env,
BytePointer fname,
tensorflow.MessageLite proto)
Write binary representation of "proto" to the named file.
|
static tensorflow.Status |
tensorflow.WriteBinaryProto(tensorflow.Env env,
String fname,
tensorflow.MessageLite proto) |
tensorflow.Status |
tensorflow.RecordWriter.WriteRecord(BytePointer slice) |
tensorflow.Status |
tensorflow.RecordWriter.WriteRecord(String slice) |
static tensorflow.Status |
tensorflow.WriteStringToFile(tensorflow.Env env,
BytePointer fname,
BytePointer data)
A utility routine: write contents of data to file named fname
(overwriting existing contents, if any).
|
static tensorflow.Status |
tensorflow.WriteStringToFile(tensorflow.Env env,
String fname,
String data) |
static tensorflow.Status |
tensorflow.WriteTextProto(tensorflow.Env env,
BytePointer fname,
tensorflow.MessageLite proto)
Write the text representation of "proto" to the named file.
|
static tensorflow.Status |
tensorflow.WriteTextProto(tensorflow.Env env,
String fname,
tensorflow.MessageLite proto) |