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DML_AVERAGE_POOLING_OPERATOR_DESC structure (directml.h)

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Averages values across the elements within the sliding window over the input tensor.

Syntax

struct DML_AVERAGE_POOLING_OPERATOR_DESC {
  const DML_TENSOR_DESC *InputTensor;
  const DML_TENSOR_DESC *OutputTensor;
  UINT                  DimensionCount;
  const UINT            *Strides;
  const UINT            *WindowSize;
  const UINT            *StartPadding;
  const UINT            *EndPadding;
  BOOL                  IncludePadding;
};

Members

InputTensor

Type: const DML_TENSOR_DESC*

An input tensor of Sizes { BatchCount, ChannelCount, Height, Width } for 4D, and { BatchCount, ChannelCount, Depth, Height, Weight } for 5D.

OutputTensor

Type: const DML_TENSOR_DESC*

A description of the output tensor. The sizes of the output tensor can be computed as follows.

OutputTensor->Sizes[0] = InputTensor->Sizes[0];
OutputTensor->Sizes[1] = InputTensor->Sizes[1];

for (UINT i = 0; i < DimensionCount; ++i) {
    UINT PaddedSize = InputTensor->Sizes[i + 2] + StartPadding[i] + EndPadding[i];
    OutputTensor->Sizes[i + 2] = (PaddedSize - WindowSizes[i]) / Strides[i] + 1;
}

DimensionCount

Type: UINT

The number of spatial dimensions of the input tensor InputTensor, which also corresponds to the number of dimensions of the sliding window WindowSize. This value also determines the size of the Strides, StartPadding, and EndPadding arrays. It should be set to 2 when InputTensor is 4D, and 3 when it's a 5D tensor.

Strides

Type: _Field_size_(DimensionCount) const UINT*

The strides for the sliding window dimensions of sizes { Height, Width } when the DimensionCount is set to 2, or { Depth, Height, Width } when set to 3.

WindowSize

Type: _Field_size_(DimensionCount) const UINT*

The dimensions of the sliding window in { Height, Width } when DimensionCount is set to 2, or { Depth, Height, Width } when set to 3.

StartPadding

Type: _Field_size_(DimensionCount) const UINT*

The number of padding elements to be applied to the beginning of each spatial dimension of the input tensor InputTensor. The values are in { Height, Width } when DimensionCount is set to 2, or { Depth, Height, Width } when set to 3.

EndPadding

Type: _Field_size_(DimensionCount) const UINT*

The number of padding elements to be applied to the end of each spatial dimension of the input tensor InputTensor. The values are in { Height, Width } when DimensionCount is set to 2, or { Depth, Height, Width } when set to 3.

IncludePadding

Type: BOOL

Indicates whether to include the padding elements around the spatial edges when calculating the average value across all elements within the sliding window. When the value is set to FALSE, the padding elements are not counted as part of the divisor value of the averaging calculation.

Availability

This operator was introduced in DML_FEATURE_LEVEL_1_0.

Tensor constraints

InputTensor and OutputTensor must have the same DataType and DimensionCount.

Tensor support

Tensor Kind Supported dimension counts Supported data types
InputTensor Input 4 to 5 FLOAT32, FLOAT16
OutputTensor Output 4 to 5 FLOAT32, FLOAT16

Requirements

Requirement Value
Header directml.h