org.bytedeco.javacpp

Class tensorflow.Pad

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.Pad

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Pads a tensor with zeros. This operation pads a input with zeros according to the paddings you specify. paddings is an integer tensor with shape [Dn, 2], where n is the rank of input. For each dimension D of input, paddings[D, 0] indicates how many zeros to add before the contents of input in that dimension, and paddings[D, 1] indicates how many zeros to add after the contents of input in that dimension. The padded size of each dimension D of the output is: paddings(D, 0) + input.dim_size(D) + paddings(D, 1) For example:

  # 't' is [[1, 1], [2, 2]]
  # 'paddings' is [[1, 1], [2, 2]]
  # rank of 't' is 2
  pad(t, paddings) ==> [[0, 0, 0, 0, 0, 0]
                        [0, 0, 1, 1, 0, 0]
                        [0, 0, 2, 2, 0, 0]
                        [0, 0, 0, 0, 0, 0]]
  

Arguments: * scope: A Scope object Returns: * Output: The output 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
Pad(Pointer p) Pointer cast constructor.
Pad(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input paddings)

Method Summary

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

Pad

public Pad(Pointer p)

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

Pad

public Pad(@Const @ByRef
           tensorflow.Scope scope,
           @ByVal
           tensorflow.Input input,
           @ByVal
           tensorflow.Input paddings)

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.Pad operation(tensorflow.Operation operation)

output

@ByRef
public tensorflow.Output output()

output

public tensorflow.Pad output(tensorflow.Output output)