org.tensorflow.op.nn

Class Dilation2dBackpropFilter<T extends Number>

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.nn.Dilation2dBackpropFilter<T>

Type Parameters:

T - data type for filterBackprop() output

All Implemented Interfaces:

Op, Operand<T>

@Operator(group="nn")
public final class Dilation2dBackpropFilter<T extends Number>
extends PrimitiveOp
implements Operand<T>

Computes the gradient of morphological 2-D dilation with respect to the filter.

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 extends Number> Dilation2dBackpropFilter<T>	create(Scope scope, Operand<T> input, Operand<T> filter, Operand<T> outBackprop, List<Long> strides, List<Long> rates, String padding) Factory method to create a class wrapping a new Dilation2dBackpropFilter operation.
Output<T>	filterBackprop() 3-D with shape `[filter_height, filter_width, depth]`.

Methods inherited from class org.tensorflow.op.PrimitiveOp

equals, hashCode, op, toString

Methods inherited from class java.lang.Object

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

Method Detail

create

public static <T extends Number> Dilation2dBackpropFilter<T> create(Scope scope,
                                                                    Operand<T> input,
                                                                    Operand<T> filter,
                                                                    Operand<T> outBackprop,
                                                                    List<Long> strides,
                                                                    List<Long> rates,
                                                                    String padding)

Factory method to create a class wrapping a new Dilation2dBackpropFilter operation.

Parameters:

scope - current scope

input - 4-D with shape `[batch, in_height, in_width, depth]`.

filter - 3-D with shape `[filter_height, filter_width, depth]`.

outBackprop - 4-D with shape `[batch, out_height, out_width, depth]`.

strides - 1-D of length 4. The stride of the sliding window for each dimension of the input tensor. Must be: `[1, stride_height, stride_width, 1]`.

rates - 1-D of length 4. The input stride for atrous morphological dilation. Must be: `[1, rate_height, rate_width, 1]`.

padding - The type of padding algorithm to use.

Returns:

a new instance of Dilation2dBackpropFilter

filterBackprop

public Output<T> filterBackprop()

3-D with shape `[filter_height, filter_width, depth]`.

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 extends Number>

See Also:

OperationBuilder.addInput(Output)