RemoteTensorHandleOrBuilder

interfaz pública RemoteTensorHandleOrBuilder

Subclases indirectas conocidas RemoteTensorHandle , RemoteTensorHandle.Builder RemoteTensorHandle Protobuf tipo tensorflow.eager.RemoteTensorHandle RemoteTensorHandle.Builder Protobuf tipo tensorflow.eager.RemoteTensorHandle

Métodos públicos

cadena abstracta	getDevice () Device where the tensor is located.
resumen com.google.protobuf.ByteString	getDeviceBytes () Device where the tensor is located.
Tipo de datos abstracto	getDtype () Tensor type.
int abstracto	getDtypeValue () Tensor type.
cadena abstracta	getOpDevice () Device of the operation producing this tensor.
resumen com.google.protobuf.ByteString	getOpDeviceBytes () Device of the operation producing this tensor.
abstracto largo	getOpId () The ID of the operation that produced this tensor.
int abstracto	getOutputNum () The index into the outputs of the operation that produced this tensor.
resumen ResourceDtypeAndShape	getResourceDtypesAndShapes (índice int) Optional data types and shapes of a remote resource variable.
int abstracto	getResourceDtypesAndShapesCount () Optional data types and shapes of a remote resource variable.
Lista abstracta < ResourceDtypeAndShape >	getResourceDtypesAndShapesList () Optional data types and shapes of a remote resource variable.
resumen ResourceDtypeAndShapeOrBuilder	getResourceDtypesAndShapesOrBuilder (índice int) Optional data types and shapes of a remote resource variable.
Resumen Lista <? extiende ResourceDtypeAndShapeOrBuilder >	getResourceDtypesAndShapesOrBuilderList () Optional data types and shapes of a remote resource variable.

Métodos públicos

getDevice () de cadena abstracta pública

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

string device = 3;

resumen público 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;

tipo de datos abstracto público getDtype ()

 Tensor type.
 

.tensorflow.DataType dtype = 5;

public abstract int getDtypeValue ()

 Tensor type.
 

.tensorflow.DataType dtype = 5;

cadena abstracta pública 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;

resumen público 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 abstract long getOpId ()

 The ID of the operation that produced this tensor.
 

int64 op_id = 1;

public abstract int getOutputNum ()

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

int32 output_num = 2;

Resumen público ResourceDtypeAndShape getResourceDtypesAndShapes (índice int)

 Optional data types and shapes of a remote resource variable.
 

.tensorflow.eager.ResourceDtypeAndShape repeated .tensorflow.eager.ResourceDtypeAndShape resource_dtypes_and_shapes = 6;

public abstract int getResourceDtypesAndShapesCount ()

 Optional data types and shapes of a remote resource variable.
 

.tensorflow.eager.ResourceDtypeAndShape repeated .tensorflow.eager.ResourceDtypeAndShape resource_dtypes_and_shapes = 6;

Lista pública abstracta < ResourceDtypeAndShape > getResourceDtypesAndShapesList ()

 Optional data types and shapes of a remote resource variable.
 

.tensorflow.eager.ResourceDtypeAndShape repeated .tensorflow.eager.ResourceDtypeAndShape resource_dtypes_and_shapes = 6;

resumen público ResourceDtypeAndShapeOrBuilder getResourceDtypesAndShapesOrBuilder (índice int)

 Optional data types and shapes of a remote resource variable.
 

.tensorflow.eager.ResourceDtypeAndShape repeated .tensorflow.eager.ResourceDtypeAndShape resource_dtypes_and_shapes = 6;

Lista de resumen público <? extiende ResourceDtypeAndShapeOrBuilder > getResourceDtypesAndShapesOrBuilderList ()

 Optional data types and shapes of a remote resource variable.
 

.tensorflow.eager.ResourceDtypeAndShape repeated .tensorflow.eager.ResourceDtypeAndShape resource_dtypes_and_shapes = 6;