org.bytedeco.javacpp

Class tensorflow.ParallelConcat

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.ParallelConcat

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Concatenates a list of N tensors along the first dimension. The input tensors are all required to have size 1 in the first dimension. For example:

  # 'x' is [[1, 4]]
  # 'y' is [[2, 5]]
  # 'z' is [[3, 6]]
  parallel_concat([x, y, z]) => [[1, 4], [2, 5], [3, 6]]  # Pack along first dim.
  

The difference between concat and parallel_concat is that concat requires all of the inputs be computed before the operation will begin but doesn't require that the input shapes be known during graph construction. Parallel concat will copy pieces of the input into the output as they become available, in some situations this can provide a performance benefit. Arguments: * scope: A Scope object * values: Tensors to be concatenated. All must have size 1 in the first dimension and same shape. * shape: the final shape of the result; should be equal to the shapes of any input but with the number of input values in the first dimension. Returns: * Output: The concatenated tensor.

Nested Class Summary

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
ParallelConcat(Pointer p) Pointer cast constructor.
ParallelConcat(tensorflow.Scope scope, tensorflow.InputList values, tensorflow.PartialTensorShape shape)

Method Summary

Modifier and Type	Method and Description
tensorflow.Input	asInput()
tensorflow.Output	asOutput()
tensorflow.Node	node()
tensorflow.Operation	operation()
tensorflow.ParallelConcat	operation(tensorflow.Operation operation)
tensorflow.Output	output()
tensorflow.ParallelConcat	output(tensorflow.Output output)

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

ParallelConcat

public ParallelConcat(Pointer p)

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

ParallelConcat

public ParallelConcat(@Const @ByRef
                      tensorflow.Scope scope,
                      @ByVal
                      tensorflow.InputList values,
                      @ByVal
                      tensorflow.PartialTensorShape shape)

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()

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.ParallelConcat operation(tensorflow.Operation operation)

output

@ByRef
public tensorflow.Output output()

output

public tensorflow.ParallelConcat output(tensorflow.Output output)