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enuSpace-tensorflow Manual

Dilation2D

tensorflow C++ API

tensorflow::ops::Dilation2D

Computes the grayscale dilation of 4-Dinputand 3-Dfiltertensors.

Summary

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

In detail, the grayscale morphological 2-D dilation is the max-sum correlation (for consistency withconv2d, 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 ofinputby thefilteris equal to the negation of the erosion of-inputby the reflectedfilter.

Arguments:

  • scope: A Scope object
  • 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:

  • Output: 4-D with shape[batch, out_height, out_width, depth].

Dilation2D block

Source link : https://github.com/EXPNUNI/enuSpaceTensorflow/blob/master/enuSpaceTensorflow/tf_nn.cpp

Argument:

  • Scope scope : A Scope object (A scope is generated automatically each page. A scope is not connected.)
  • Input input: connect Input node.
  • Input filter: connect Input node.
  • gtl::ArraySlice< int > strides: Input strides in value ex)1,2,2,1
  • gtl::ArraySlice< int > rates: Input strides in value ex)1,2,2,1
  • StringPiece padding: Input paddingin value ex)SAME
  • Dilation2D ::Attrs attrs : Input attrs in value. ex) data_format_ = NHWC;

Return:

  • Output output : Output object of Dilation2D class object.

Result:

  • std::vector(Tensor) result_output : Returned object of executed result by calling session.

Using Method