RemoteTensorHandleOrBuilder

interface pública RemoteTensorHandleOrBuilder
Subclasses indiretas conhecidas

Métodos Públicos

cadeia abstrata
getDispositivo ()
 Device where the tensor is located.
abstrato com.google.protobuf.ByteString
getDeviceBytes ()
 Device where the tensor is located.
tipo de dados abstrato
getDtype ()
 Tensor type.
abstrato int
getDtypeValue ()
 Tensor type.
cadeia abstrata
getOpDevice ()
 Device of the operation producing this tensor.
abstrato com.google.protobuf.ByteString
getOpDeviceBytes ()
 Device of the operation producing this tensor.
abstrato longo
getOpId ()
 The ID of the operation that produced this tensor.
abstrato int
getOutputNum ()
 The index into the outputs of the operation that produced this tensor.
resumo ResourceDtypeAndShape
getResourceDtypesAndShapes (índice interno)
 Optional data types and shapes of a remote resource variable.
abstrato int
getResourceDtypesAndShapesCount ()
 Optional data types and shapes of a remote resource variable.
Lista abstrata< ResourceDtypeAndShape >
getResourceDtypesAndShapesList ()
 Optional data types and shapes of a remote resource variable.
abstrato ResourceDtypeAndShapeOrBuilder
getResourceDtypesAndShapesOrBuilder (índice interno)
 Optional data types and shapes of a remote resource variable.
lista abstrata<? estende ResourceDtypeAndShapeOrBuilder >
getResourceDtypesAndShapesOrBuilderList ()
 Optional data types and shapes of a remote resource variable.

Métodos Públicos

String abstrata pública getDevice ()

dispositivo de string

 Device where the tensor is located. Cannot be empty.
 For multi-device functions, it's the default device passed to placer.
string device = 3;

resumo público com.google.protobuf.ByteString getDeviceBytes ()

dispositivo de string

 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 dados abstrato público getDtype () 

 Tensor type.
.tensorflow.DataType dtype = 5;

público abstrato int getDtypeValue () 

 Tensor type.
.tensorflow.DataType dtype = 5;

String abstrata 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;

resumo 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;

público abstrato longo getOpId () 

 The ID of the operation that produced this tensor.
int64 op_id = 1;

resumo público int getOutputNum () 

 The index into the outputs of the operation that produced this tensor.
int32 output_num = 2;

público abstrato ResourceDtypeAndShape getResourceDtypesAndShapes (índice int) 

 Optional data types and shapes of a remote resource variable.
repeated .tensorflow.eager.ResourceDtypeAndShape resource_dtypes_and_shapes = 6;

público abstrato int getResourceDtypesAndShapesCount () 

 Optional data types and shapes of a remote resource variable.
repeated .tensorflow.eager.ResourceDtypeAndShape resource_dtypes_and_shapes = 6;

Lista abstrata pública< ResourceDtypeAndShape > getResourceDtypesAndShapesList () 

 Optional data types and shapes of a remote resource variable.
repeated .tensorflow.eager.ResourceDtypeAndShape resource_dtypes_and_shapes = 6;

público abstrato ResourceDtypeAndShapeOrBuilder getResourceDtypesAndShapesOrBuilder (índice int) 

 Optional data types and shapes of a remote resource variable.
repeated .tensorflow.eager.ResourceDtypeAndShape resource_dtypes_and_shapes = 6;

lista abstrata pública<? estende ResourceDtypeAndShapeOrBuilder > getResourceDtypesAndShapesOrBuilderList () 

 Optional data types and shapes of a remote resource variable.
repeated .tensorflow.eager.ResourceDtypeAndShape resource_dtypes_and_shapes = 6;