Dilation2d

public final class Dilation2d

Computes the grayscale dilation of 4-D `input` and 3-D `filter` tensors.

The `input` tensor has shape `[batch, in_height, in_width, depth]` and the `filter` tensor has shape `[filter_height, filter_width, depth]`, i.e., each input channel is processed independently of the others with its own structuring function. The `output` tensor has shape `[batch, out_height, out_width, depth]`. The spatial dimensions of the output tensor depend on the `padding` algorithm. We currently only support the default "NHWC" `data_format`.

In detail, the grayscale morphological 2-D dilation is the max-sum correlation (for consistency with `conv2d`, we use unmirrored filters):

output[b, y, x, c] = max_{dy, dx} input[b, strides[1] * y + rates[1] * dy, strides[2] * x + rates[2] * dx, c] + filter[dy, dx, c]

Max-pooling is a special case when the filter has size equal to the pooling kernel size and contains all zeros.

Note on duality: The dilation of `input` by the `filter` is equal to the negation of the erosion of `-input` by the reflected `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> Dilation2d<T>
create(Scope scope, Operand<T> input, Operand<T> filter, List<Long> strides, List<Long> rates, String padding)
Factory method to create a class wrapping a new Dilation2d operation.
Output<T>
output()
4-D with shape `[batch, out_height, out_width, depth]`.

Inherited Methods

Constants

public static final String OP_NAME

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

Constant Value: "Dilation2D"

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 Dilation2d<T> create (Scope scope, Operand<T> input, Operand<T> filter, List<Long> strides, List<Long> rates, String padding)

Factory method to create a class wrapping a new Dilation2d 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]`.
strides The stride of the sliding window for each dimension of the input tensor. Must be: `[1, stride_height, stride_width, 1]`.
rates 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 Dilation2d

public Output<T> output ()

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