org.bytedeco.javacpp

Class tensorflow.RandomShuffle

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.RandomShuffle

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

@Namespace(value="tensorflow::ops")
 @NoOffset
public static class tensorflow.RandomShuffle
extends Pointer

Randomly shuffles a tensor along its first dimension. The tensor is shuffled along dimension 0, such that each value[j] is mapped to one and only one output[i]. For example, a mapping that might occur for a 3x2 tensor is:

  [[1, 2],       [[5, 6],
   [3, 4],  ==>   [1, 2],
   [5, 6]]        [3, 4]]
  

Arguments: * scope: A Scope object * value: The tensor to be shuffled. Optional attributes (see Attrs): * seed: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed. Otherwise, it is seeded by a random seed. * seed2: A second seed to avoid seed collision. Returns: * Output: A tensor of same shape and type as value, shuffled along its first dimension.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	tensorflow.RandomShuffle.Attrs Optional attribute setters for RandomShuffle

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
RandomShuffle(Pointer p) Pointer cast constructor.
RandomShuffle(tensorflow.Scope scope, tensorflow.Input value)
RandomShuffle(tensorflow.Scope scope, tensorflow.Input value, tensorflow.RandomShuffle.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
tensorflow.Input	asInput()
tensorflow.Output	asOutput()
tensorflow.Node	node()
tensorflow.Operation	operation()
tensorflow.RandomShuffle	operation(tensorflow.Operation operation)
tensorflow.Output	output()
tensorflow.RandomShuffle	output(tensorflow.Output output)
static tensorflow.RandomShuffle.Attrs	Seed(long x)
static tensorflow.RandomShuffle.Attrs	Seed2(long x)

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

RandomShuffle

public RandomShuffle(Pointer p)

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

RandomShuffle

public RandomShuffle(@Const @ByRef
                     tensorflow.Scope scope,
                     @ByVal
                     tensorflow.Input value)

RandomShuffle

public RandomShuffle(@Const @ByRef
                     tensorflow.Scope scope,
                     @ByVal
                     tensorflow.Input value,
                     @Const @ByRef
                     tensorflow.RandomShuffle.Attrs attrs)

Method Detail

asOutput

@ByVal
 @Name(value="operator tensorflow::Output")
public tensorflow.Output asOutput()

asInput

@ByVal
 @Name(value="operator tensorflow::Input")
public tensorflow.Input asInput()

node

public tensorflow.Node node()

Seed

@ByVal
public static tensorflow.RandomShuffle.Attrs Seed(@Cast(value="tensorflow::int64")
                                                          long x)

Seed2

@ByVal
public static tensorflow.RandomShuffle.Attrs Seed2(@Cast(value="tensorflow::int64")
                                                           long x)

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.RandomShuffle operation(tensorflow.Operation operation)

output

@ByRef
public tensorflow.Output output()

output

public tensorflow.RandomShuffle output(tensorflow.Output output)