Dilation2dBackpropInput

public final class Dilation2dBackpropInput

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

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> Dilation2dBackpropInput<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 Dilation2dBackpropInput operation.
Output<T>
inBackprop()
4-D with shape `[batch, in_height, in_width, depth]`.

Inherited Methods

org.tensorflow.op.RawOp
final boolean
equals(Object obj)
final int
Operation
op()
Return this unit of computation as a single Operation.
final String
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: "Dilation2DBackpropInput"

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 Dilation2dBackpropInput<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 Dilation2dBackpropInput 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 Dilation2dBackpropInput

public Output<T> inBackprop ()

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