RemoteTensorHandleOrBuilder

public interface RemoteTensorHandleOrBuilder
Known Indirect Subclasses

Public Methods

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.

Public Methods

public abstract 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 abstract 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 abstract DataType getDtype () 

 Tensor type.
.tensorflow.DataType dtype = 5;

public abstract int getDtypeValue () 

 Tensor type.
.tensorflow.DataType dtype = 5;

public abstract 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 abstract 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;

public abstract ResourceDtypeAndShape getResourceDtypesAndShapes (int index) 

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

public abstract int getResourceDtypesAndShapesCount () 

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

public abstract List<ResourceDtypeAndShape> getResourceDtypesAndShapesList () 

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

public abstract ResourceDtypeAndShapeOrBuilder getResourceDtypesAndShapesOrBuilder (int index) 

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

public abstract List<? extends ResourceDtypeAndShapeOrBuilder> getResourceDtypesAndShapesOrBuilderList () 

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