RemoteTensorHandleOrBuilder

antarmuka publik RemoteTensorHandleOrBuilder
Subkelas Tidak Langsung yang Diketahui

Metode Publik

Tali abstrak
dapatkan Perangkat ()
 Device where the tensor is located.
abstrak com.google.protobuf.ByteString
dapatkanDeviceBytes ()
 Device where the tensor is located.
Tipe Data abstrak
dapatkan tipe D ()
 Tensor type.
abstrak ke dalam
dapatkanDtypeValue ()
 Tensor type.
Tali abstrak
dapatkanOpDevice ()
 Device of the operation producing this tensor.
abstrak com.google.protobuf.ByteString
dapatkanOpDeviceBytes ()
 Device of the operation producing this tensor.
abstrak panjang
dapatkanOpId ()
 The ID of the operation that produced this tensor.
abstrak ke dalam
dapatkanOutputNum ()
 The index into the outputs of the operation that produced this tensor.
ResourceDtypeAndShape abstrak
getResourceDtypesAndShapes (indeks int)
 Optional data types and shapes of a remote resource variable.
abstrak ke dalam
dapatkanResourceDtypesAndShapesCount ()
 Optional data types and shapes of a remote resource variable.
Daftar abstrak< ResourceDtypeAndShape >
dapatkanResourceDtypesAndShapesList ()
 Optional data types and shapes of a remote resource variable.
abstrak ResourceDtypeAndShapeOrBuilder
getResourceDtypesAndShapesOrBuilder (indeks int)
 Optional data types and shapes of a remote resource variable.
Daftar abstrak<? memperluas ResourceDtypeAndShapeOrBuilder >
dapatkanResourceDtypesAndShapesOrBuilderList ()
 Optional data types and shapes of a remote resource variable.

Metode Publik

abstrak publik 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;

abstrak publik 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;

Tipe Data abstrak publik getDtype () 

 Tensor type.
.tensorflow.DataType dtype = 5;

abstrak publik int getDtypeValue () 

 Tensor type.
.tensorflow.DataType dtype = 5;

String abstrak publik 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;

abstrak publik 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;

getOpId panjang abstrak publik () 

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

abstrak publik int getOutputNum () 

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

abstrak publik ResourceDtypeAndShape getResourceDtypesAndShapes (int indeks) 

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

abstrak publik int getResourceDtypesAndShapesCount () 

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

Daftar abstrak publik< ResourceDtypeAndShape > getResourceDtypesAndShapesList () 

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

abstrak publik ResourceDtypeAndShapeOrBuilder getResourceDtypesAndShapesOrBuilder (int indeks) 

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

Daftar abstrak publik<? memperluas ResourceDtypeAndShapeOrBuilder > getResourceDtypesAndShapesOrBuilderList () 

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