org.bytedeco.javacpp

Class tensorflow.MirrorPad

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.MirrorPad

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Pads a tensor with mirrored values. This operation pads a input with mirrored values according to the paddings you specify. paddings is an integer tensor with shape [n, 2], where n is the rank of input. For each dimension D of input, paddings[D, 0] indicates how many values to add before the contents of input in that dimension, and paddings[D, 1] indicates how many values to add after the contents of input in that dimension. Both paddings[D, 0] and paddings[D, 1] must be no greater than input.dim_size(D) (or input.dim_size(D) - 1) if copy_border is true (if false, respectively). 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, 2, 3], [4, 5, 6]].
  # 'paddings' is [[1, 1]], [2, 2]].
  # 'mode' is SYMMETRIC.
  # rank of 't' is 2.
  pad(t, paddings) ==> [[2, 1, 1, 2, 3, 3, 2]
                        [2, 1, 1, 2, 3, 3, 2]
                        [5, 4, 4, 5, 6, 6, 5]
                        [5, 4, 4, 5, 6, 6, 5]]
  

Arguments: * scope: A Scope object * input: The input tensor to be padded. * paddings: A two-column matrix specifying the padding sizes. The number of rows must be the same as the rank of input. * mode: Either REFLECT or SYMMETRIC. In reflect mode the padded regions do not include the borders, while in symmetric mode the padded regions do include the borders. For example, if input is [1, 2, 3] and paddings is [0, 2], then the output is [1, 2, 3, 2, 1] in reflect mode, and it is [1, 2, 3, 3, 2] in symmetric mode. Returns: * Output: The padded 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
MirrorPad(Pointer p) Pointer cast constructor.
MirrorPad(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input paddings, BytePointer mode)
MirrorPad(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input paddings, String mode)

Method Summary

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

MirrorPad

public MirrorPad(Pointer p)

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

MirrorPad

public MirrorPad(@Const @ByRef
                 tensorflow.Scope scope,
                 @ByVal
                 tensorflow.Input input,
                 @ByVal
                 tensorflow.Input paddings,
                 @tensorflow.StringPiece
                 BytePointer mode)

MirrorPad

public MirrorPad(@Const @ByRef
                 tensorflow.Scope scope,
                 @ByVal
                 tensorflow.Input input,
                 @ByVal
                 tensorflow.Input paddings,
                 @tensorflow.StringPiece
                 String mode)

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.MirrorPad operation(tensorflow.Operation operation)

output

@ByRef
public tensorflow.Output output()

output

public tensorflow.MirrorPad output(tensorflow.Output output)