RemoteTensorHandle

public final class RemoteTensorHandle

Protobuf type tensorflow.eager.RemoteTensorHandle

Nested Classes

class RemoteTensorHandle.Builder Protobuf type tensorflow.eager.RemoteTensorHandle

Constants

int	DEVICE_FIELD_NUMBER
int	DTYPE_FIELD_NUMBER
int	OP_DEVICE_FIELD_NUMBER
int	OP_ID_FIELD_NUMBER
int	OUTPUT_NUM_FIELD_NUMBER
int	RESOURCE_DTYPES_AND_SHAPES_FIELD_NUMBER

Public Methods

boolean	equals(Object obj)
static RemoteTensorHandle	getDefaultInstance()
RemoteTensorHandle	getDefaultInstanceForType()
final static com.google.protobuf.Descriptors.Descriptor	getDescriptor()
String	getDevice() Device where the tensor is located.
com.google.protobuf.ByteString	getDeviceBytes() Device where the tensor is located.
DataType	getDtype() Tensor type.
int	getDtypeValue() Tensor type.
String	getOpDevice() Device of the operation producing this tensor.
com.google.protobuf.ByteString	getOpDeviceBytes() Device of the operation producing this tensor.
long	getOpId() The ID of the operation that produced this tensor.
int	getOutputNum() The index into the outputs of the operation that produced this tensor.
	getParserForType()
ResourceDtypeAndShape	getResourceDtypesAndShapes(int index) Optional data types and shapes of a remote resource variable.
int	getResourceDtypesAndShapesCount() Optional data types and shapes of a remote resource variable.
List<ResourceDtypeAndShape>	getResourceDtypesAndShapesList() Optional data types and shapes of a remote resource variable.
ResourceDtypeAndShapeOrBuilder	getResourceDtypesAndShapesOrBuilder(int index) Optional data types and shapes of a remote resource variable.
List<? extends ResourceDtypeAndShapeOrBuilder>	getResourceDtypesAndShapesOrBuilderList() Optional data types and shapes of a remote resource variable.
int	getSerializedSize()
final com.google.protobuf.UnknownFieldSet	getUnknownFields()
int	hashCode()
final boolean	isInitialized()
static RemoteTensorHandle.Builder	newBuilder(RemoteTensorHandle prototype)
static RemoteTensorHandle.Builder	newBuilder()
RemoteTensorHandle.Builder	newBuilderForType()
static RemoteTensorHandle	parseDelimitedFrom(InputStream input)
static RemoteTensorHandle	parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static RemoteTensorHandle	parseFrom(ByteBuffer data)
static RemoteTensorHandle	parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static RemoteTensorHandle	parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static RemoteTensorHandle	parseFrom(com.google.protobuf.CodedInputStream input)
static RemoteTensorHandle	parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static RemoteTensorHandle	parseFrom(com.google.protobuf.ByteString data)
static RemoteTensorHandle	parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static RemoteTensorHandle	parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static	parser()
RemoteTensorHandle.Builder	toBuilder()
void	writeTo(com.google.protobuf.CodedOutputStream output)

Inherited Methods

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

From interface org.tensorflow.proto.framework.RemoteTensorHandleOrBuilder

abstract String	getDevice() Device where the tensor is located.
abstract com.google.protobuf.ByteString	getDeviceBytes() Device where the tensor is located.
abstract DataType	getDtype() Tensor type.
abstract int	getDtypeValue() Tensor type.
abstract String	getOpDevice() Device of the operation producing this tensor.
abstract com.google.protobuf.ByteString	getOpDeviceBytes() Device of the operation producing this tensor.
abstract long	getOpId() The ID of the operation that produced this tensor.
abstract int	getOutputNum() The index into the outputs of the operation that produced this tensor.
abstract ResourceDtypeAndShape	getResourceDtypesAndShapes(int index) Optional data types and shapes of a remote resource variable.
abstract int	getResourceDtypesAndShapesCount() Optional data types and shapes of a remote resource variable.
abstract List<ResourceDtypeAndShape>	getResourceDtypesAndShapesList() Optional data types and shapes of a remote resource variable.
abstract ResourceDtypeAndShapeOrBuilder	getResourceDtypesAndShapesOrBuilder(int index) Optional data types and shapes of a remote resource variable.
abstract List<? extends ResourceDtypeAndShapeOrBuilder>	getResourceDtypesAndShapesOrBuilderList() Optional data types and shapes of a remote resource variable.

Constants

public static final int DEVICE_FIELD_NUMBER

Constant Value: 3

public static final int DTYPE_FIELD_NUMBER

Constant Value: 5

public static final int OP_DEVICE_FIELD_NUMBER

Constant Value: 4

public static final int OP_ID_FIELD_NUMBER

Constant Value: 1

public static final int OUTPUT_NUM_FIELD_NUMBER

Constant Value: 2

public static final int RESOURCE_DTYPES_AND_SHAPES_FIELD_NUMBER

Constant Value: 6

Public Methods

public boolean equals (Object obj)

public static RemoteTensorHandle getDefaultInstance ()

public RemoteTensorHandle getDefaultInstanceForType ()

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

public String getDevice ()

 Device where the tensor is located. Cannot be empty.
 For multi-device functions, it's the default device passed to placer.

string device = 3;

public com.google.protobuf.ByteString getDeviceBytes ()

 Device where the tensor is located. Cannot be empty.
 For multi-device functions, it's the default device passed to placer.

string device = 3;

public DataType getDtype ()

 Tensor type.

.tensorflow.DataType dtype = 5;

public int getDtypeValue ()

 Tensor type.

.tensorflow.DataType dtype = 5;

public String getOpDevice ()

 Device of the operation producing this tensor. Can be empty if the
 operation producing this tensor is a multi-device function.

string op_device = 4;

public com.google.protobuf.ByteString getOpDeviceBytes ()

 Device of the operation producing this tensor. Can be empty if the
 operation producing this tensor is a multi-device function.

string op_device = 4;

public long getOpId ()

 The ID of the operation that produced this tensor.

int64 op_id = 1;

public int getOutputNum ()

 The index into the outputs of the operation that produced this tensor.

int32 output_num = 2;