org.tensorflow.op.core

Class MirrorPadGrad<T>

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.core.MirrorPadGrad<T>

Type Parameters:

T - data type for output() output

All Implemented Interfaces:

Op, Operand<T>

public final class MirrorPadGrad<T>
extends PrimitiveOp
implements Operand<T>

Gradient op for `MirrorPad` op. This op folds a mirror-padded tensor.

This operation folds the padded areas of `input` by `MirrorPad` according to the `paddings` you specify. `paddings` must be the same as `paddings` argument given to the corresponding `MirrorPad` op.

The folded size of each dimension D of the output is:

`input.dim_size(D) - paddings(D, 0) - paddings(D, 1)`

For example:

 # 't' is [[1, 2, 3], [4, 5, 6], [7, 8, 9]].
 # 'paddings' is [[0, 1]], [0, 1]].
 # 'mode' is SYMMETRIC.
 # rank of 't' is 2.
 pad(t, paddings) ==> [[ 1,  5]
                       [11, 28]]
 

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
Output<T>	asOutput() Returns the symbolic handle of a tensor.
static <T,U extends Number> MirrorPadGrad<T>	create(Scope scope, Operand<T> input, Operand<U> paddings, String mode) Factory method to create a class to wrap a new MirrorPadGrad operation to the graph.
Output<T>	output() The folded tensor.

Methods inherited from class org.tensorflow.op.PrimitiveOp

equals, hashCode, toString

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Method Detail

create

public static <T,U extends Number> MirrorPadGrad<T> create(Scope scope,
                                                           Operand<T> input,
                                                           Operand<U> paddings,
                                                           String mode)

Factory method to create a class to wrap a new MirrorPadGrad operation to the graph.

Parameters:

scope - current graph scope

input - The input tensor to be folded.

paddings - A two-column matrix specifying the padding sizes. The number of rows must be the same as the rank of `input`.

mode - The mode used in the `MirrorPad` op.

Returns:

a new instance of MirrorPadGrad

output

public Output<T> output()

The folded tensor.

asOutput

public Output<T> asOutput()

Description copied from interface: Operand

Returns the symbolic handle of a 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.

Specified by:

asOutput in interface Operand<T>

See Also:

OperationBuilder.addInput(Output)