org.bytedeco.javacpp

Class tensorflow.Input

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.Input

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

@Namespace(value="tensorflow")
 @NoOffset
public static class tensorflow.Input
extends Pointer

Represents a tensor value that can be used as an operand to an Operation.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	tensorflow.Input.Initializer Initializer enables constructing an Input object from various kinds of C++ constants such as simple primitive constants and nested initializer lists representing a multi-dimensional array.

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
Input(boolean init)
Input(byte init)
Input(BytePointer init)
Input(BytePointer name, int i, int dt) Constructor specifying a node name, index and datatype.
Input(double init)
Input(float init)
Input(int init)
Input(long init)
Input(Pointer p) Pointer cast constructor.
Input(short init)
Input(String init)
Input(String name, int i, int dt)
Input(tensorflow.Input.Initializer init)
Input(tensorflow.Output o) All of Input's constructors are implicit.
Input(tensorflow.Tensor init)

Method Summary

Modifier and Type	Method and Description
int	data_type()
int	index()
BytePointer	node_name()
tensorflow.Node	node()
tensorflow.Status	status()
tensorflow.Tensor	tensor()

Methods inherited from class org.bytedeco.javacpp.Pointer

address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, hashCode, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, position, put, realloc, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

Input

public Input(Pointer p)

Pointer cast constructor. Invokes Pointer.Pointer(Pointer).

Input

public Input(@Const @ByRef
             tensorflow.Output o)

All of Input's constructors are implicit. Input can be implicitly constructed from the following objects : * Output: This is so that the output of an Operation can be directly used as the input to a op wrapper, which takes Inputs. * A scalar, or a multi-dimensional tensor specified as a recursive initializer list. This enables directly passing constants as inputs to op wrappers. * A Tensor object.

Input

public Input(@Const @ByRef
             tensorflow.Input.Initializer init)

Input

public Input(@ByRef
             tensorflow.Tensor init)

Input

public Input(byte init)

Input

public Input(short init)

Input

public Input(int init)

Input

public Input(long init)

Input

public Input(float init)

Input

public Input(double init)

Input

public Input(boolean init)

Input

public Input(@StdString
             String init)

Input

public Input(@StdString
             BytePointer init)

Input

public Input(@StdString
             BytePointer name,
             int i,
             @Cast(value="tensorflow::DataType")
             int dt)

Constructor specifying a node name, index and datatype. This should only be used for specifying a backward edge, needed by control flow.

Input

public Input(@StdString
             String name,
             int i,
             @Cast(value="tensorflow::DataType")
             int dt)

Method Detail

node

public tensorflow.Node node()

node_name

@StdString
public BytePointer node_name()

index

public int index()

data_type

@Cast(value="tensorflow::DataType")
public int data_type()

status

@ByVal
public tensorflow.Status status()

tensor

@Const
 @ByRef
public tensorflow.Tensor tensor()