Dilation2dBackpropFilter

public final class Dilation2dBackpropFilter

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

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 TNumber > 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]`.

Inherited Methods

Constants

public static final String OP_NAME

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

Constant Value: "Dilation2DBackpropFilter"

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 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

public Output <T> filterBackprop ()

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