org.bytedeco.javacpp

Class tensorflow.OpKernel

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.OpKernel

All Implemented Interfaces:

AutoCloseable

Direct Known Subclasses:

tensorflow.AsyncOpKernel

Enclosing class:

tensorflow

@Namespace(value="tensorflow")
 @NoOffset
public static class tensorflow.OpKernel
extends Pointer

Nested Class Summary

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
OpKernel(Pointer p) Pointer cast constructor.

Method Summary

Modifier and Type	Method and Description
boolean	allow_legacy_scalars()
tensorflow.AsyncOpKernel	AsAsync()
void	Compute(tensorflow.OpKernelContext context)
tensorflow.NodeDef	def()
tensorflow.AllocatorAttributesVector	input_memory_types()
int	input_type(int i)
tensorflow.DataTypeVector	input_types()
tensorflow.Status	InputRange(BytePointer input_name, int[] start, int... stop)
tensorflow.Status	InputRange(BytePointer input_name, IntBuffer start, IntBuffer stop)
tensorflow.Status	InputRange(BytePointer input_name, IntPointer start, IntPointer stop)
tensorflow.Status	InputRange(String input_name, int[] start, int... stop)
tensorflow.Status	InputRange(String input_name, IntBuffer start, IntBuffer stop)
tensorflow.Status	InputRange(String input_name, IntPointer start, IntPointer stop)
boolean	is_internal()
boolean	IsExpensive()
boolean	IsLegacyScalar(tensorflow.TensorShape shape)
boolean	IsLegacyVector(tensorflow.TensorShape shape)
tensorflow.Status	MakeShape(tensorflow.Tensor shape, tensorflow.TensorShape out)
BytePointer	name()
int	num_inputs()
int	num_outputs()
tensorflow.AllocatorAttributesVector	output_memory_types()
int	output_type(int o)
tensorflow.DataTypeVector	output_types()
tensorflow.Status	OutputRange(BytePointer output_name, int[] start, int... stop)
tensorflow.Status	OutputRange(BytePointer output_name, IntBuffer start, IntBuffer stop)
tensorflow.Status	OutputRange(BytePointer output_name, IntPointer start, IntPointer stop)
tensorflow.Status	OutputRange(String output_name, int[] start, int... stop)
tensorflow.Status	OutputRange(String output_name, IntBuffer start, IntBuffer stop)
tensorflow.Status	OutputRange(String output_name, IntPointer start, IntPointer stop)
BytePointer	requested_device()
BytePointer	requested_input(int i)
BytePointer	type_string()

Methods inherited from class org.bytedeco.javacpp.Pointer

address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, hashCode, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, position, put, realloc, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

OpKernel

public OpKernel(Pointer p)

Pointer cast constructor. Invokes Pointer.Pointer(Pointer).

Method Detail

Compute

public void Compute(tensorflow.OpKernelContext context)

AsAsync

public tensorflow.AsyncOpKernel AsAsync()

IsExpensive

@Cast(value="bool")
public boolean IsExpensive()

def

@Const
 @ByRef
public tensorflow.NodeDef def()

name

@StdString
public BytePointer name()

type_string

@StdString
public BytePointer type_string()

requested_device

@StdString
public BytePointer requested_device()

is_internal

@Cast(value="bool")
public boolean is_internal()

num_inputs

public int num_inputs()

input_type

@Cast(value="tensorflow::DataType")
public int input_type(int i)

input_types

@Const
 @ByRef
public tensorflow.DataTypeVector input_types()

input_memory_types

@Cast(value="const tensorflow::MemoryTypeVector*")
 @ByRef
public tensorflow.AllocatorAttributesVector input_memory_types()

requested_input

@StdString
public BytePointer requested_input(int i)

num_outputs

public int num_outputs()

output_type

@Cast(value="tensorflow::DataType")
public int output_type(int o)

output_types

@Const
 @ByRef
public tensorflow.DataTypeVector output_types()

output_memory_types

@Cast(value="const tensorflow::MemoryTypeVector*")
 @ByRef
public tensorflow.AllocatorAttributesVector output_memory_types()

InputRange

@ByVal
public tensorflow.Status InputRange(@tensorflow.StringPiece
                                            BytePointer input_name,
                                            IntPointer start,
                                            IntPointer stop)

InputRange

@ByVal
public tensorflow.Status InputRange(@tensorflow.StringPiece
                                            String input_name,
                                            IntBuffer start,
                                            IntBuffer stop)

InputRange

@ByVal
public tensorflow.Status InputRange(@tensorflow.StringPiece
                                            BytePointer input_name,
                                            int[] start,
                                            int... stop)

InputRange

@ByVal
public tensorflow.Status InputRange(@tensorflow.StringPiece
                                            String input_name,
                                            IntPointer start,
                                            IntPointer stop)

InputRange

@ByVal
public tensorflow.Status InputRange(@tensorflow.StringPiece
                                            BytePointer input_name,
                                            IntBuffer start,
                                            IntBuffer stop)

InputRange

@ByVal
public tensorflow.Status InputRange(@tensorflow.StringPiece
                                            String input_name,
                                            int[] start,
                                            int... stop)

OutputRange

@ByVal
public tensorflow.Status OutputRange(@tensorflow.StringPiece
                                             BytePointer output_name,
                                             IntPointer start,
                                             IntPointer stop)

OutputRange

@ByVal
public tensorflow.Status OutputRange(@tensorflow.StringPiece
                                             String output_name,
                                             IntBuffer start,
                                             IntBuffer stop)

OutputRange

@ByVal
public tensorflow.Status OutputRange(@tensorflow.StringPiece
                                             BytePointer output_name,
                                             int[] start,
                                             int... stop)

OutputRange

@ByVal
public tensorflow.Status OutputRange(@tensorflow.StringPiece
                                             String output_name,
                                             IntPointer start,
                                             IntPointer stop)

OutputRange

@ByVal
public tensorflow.Status OutputRange(@tensorflow.StringPiece
                                             BytePointer output_name,
                                             IntBuffer start,
                                             IntBuffer stop)

OutputRange

@ByVal
public tensorflow.Status OutputRange(@tensorflow.StringPiece
                                             String output_name,
                                             int[] start,
                                             int... stop)

allow_legacy_scalars

@Cast(value="bool")
public boolean allow_legacy_scalars()

IsLegacyScalar

@Cast(value="bool")
public boolean IsLegacyScalar(@Const @ByRef
                                                   tensorflow.TensorShape shape)

IsLegacyVector

@Cast(value="bool")
public boolean IsLegacyVector(@Const @ByRef
                                                   tensorflow.TensorShape shape)

MakeShape

@ByVal
public tensorflow.Status MakeShape(@Const @ByRef
                                           tensorflow.Tensor shape,
                                           tensorflow.TensorShape out)