RemoteTensorHandleOrBuilder

interface publique RemoteTensorHandleOrBuilder
Sous-classes indirectes connues

Méthodes publiques

chaîne abstraite
getDevice ()
 Device where the tensor is located.
résumé com.google.protobuf.ByteString
getDeviceBytes ()
 Device where the tensor is located.
Type de données abstrait
getDtype ()
 Tensor type.
abstrait entier
getDtypeValue ()
 Tensor type.
chaîne abstraite
obtenirOpDevice ()
 Device of the operation producing this tensor.
résumé com.google.protobuf.ByteString
getOpDeviceBytes ()
 Device of the operation producing this tensor.
abstrait long
getOpId ()
 The ID of the operation that produced this tensor.
abstrait entier
getOutputNum ()
 The index into the outputs of the operation that produced this tensor.
résumé ResourceDtypeAndShape
getResourceDtypesAndShapes (index int)
 Optional data types and shapes of a remote resource variable.
abstrait entier
getResourceDtypesAndShapesCount ()
 Optional data types and shapes of a remote resource variable.
Liste abstraite < ResourceDtypeAndShape >
getResourceDtypesAndShapesList ()
 Optional data types and shapes of a remote resource variable.
résumé ResourceDtypeAndShapeOrBuilder
getResourceDtypesAndShapesOrBuilder (index int)
 Optional data types and shapes of a remote resource variable.
Liste abstraite <? étend ResourceDtypeAndShapeOrBuilder >
getResourceDtypesAndShapesOrBuilderList ()
 Optional data types and shapes of a remote resource variable.

Méthodes publiques

chaîne abstraite publique getDevice ()

périphérique de chaîne

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

résumé public com.google.protobuf.ByteString getDeviceBytes ()

périphérique de chaîne

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

Type de données abstrait public getDtype () 

 Tensor type.
.tensorflow.DataType dtype = 5;

public abstrait int getDtypeValue () 

 Tensor type.
.tensorflow.DataType dtype = 5;

chaîne abstraite publique 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;

résumé 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 abstrait long getOpId () 

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

public abstrait int getOutputNum () 

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

résumé public ResourceDtypeAndShape getResourceDtypesAndShapes (index int) 

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

public abstrait int getResourceDtypesAndShapesCount () 

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

Liste abstraite publique < ResourceDtypeAndShape > getResourceDtypesAndShapesList () 

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

résumé public ResourceDtypeAndShapeOrBuilder getResourceDtypesAndShapesOrBuilder (index int) 

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

Liste des résumés publics<? étend ResourceDtypeAndShapeOrBuilder > getResourceDtypesAndShapesOrBuilderList () 

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