MirrorPad

public final class MirrorPad

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]]

Constants

String OP_NAME The name of this op, as known by TensorFlow core engine

Public Methods

Output<T>
asOutput()
Returns the symbolic handle of the tensor.
static <T extends TType> MirrorPad<T>
create(Scope scope, Operand<T> input, Operand<? extends TNumber> paddings, String mode)
Factory method to create a class wrapping a new MirrorPad operation.
Output<T>
output()
The padded tensor.

Inherited Methods

org.tensorflow.op.RawOp
final boolean
equals(Object obj)
final int
hashCode()
Operation
op()
Return this unit of computation as a single Operation.
final String
toString()
boolean
equals(Object arg0)
final Class<?>
getClass()
int
hashCode()
final void
notify()
final void
notifyAll()
String
toString()
final void
wait(long arg0, int arg1)
final void
wait(long arg0)
final void
wait()
org.tensorflow.op.Op
abstract ExecutionEnvironment
env()
Return the execution environment this op was created in.
abstract Operation
op()
Return this unit of computation as a single Operation.
org.tensorflow.Operand
abstract Output<T>
asOutput()
Returns the symbolic handle of the tensor.
abstract T
asTensor()
Returns the tensor at this operand.
abstract Shape
shape()
Returns the (possibly partially known) shape of the tensor referred to by the Output of this operand.
abstract Class<T>
type()
Returns the tensor type of this operand
org.tensorflow.ndarray.Shaped
abstract int
rank()
abstract Shape
shape()
abstract long
size()
Computes and returns the total size of this container, in number of values.

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "MirrorPad"

Public Methods

public Output<T> asOutput ()

Returns the symbolic handle of the tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public static MirrorPad<T> create (Scope scope, Operand<T> input, Operand<? extends TNumber> paddings, String mode)

Factory method to create a class wrapping a new MirrorPad operation.

Parameters
scope current scope
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
  • a new instance of MirrorPad

public Output<T> output ()

The padded tensor.