DML_LP_POOLING1_OPERATOR_DESC structure (directml.h)

Computes the LP normalized value across the elements within the sliding window over the input tensor.

Syntax

struct DML_LP_POOLING1_OPERATOR_DESC
{
    const DML_TENSOR_DESC* InputTensor;
    const DML_TENSOR_DESC* OutputTensor;
    UINT DimensionCount;
    _Field_size_(DimensionCount) const UINT* Strides;
    _Field_size_(DimensionCount) const UINT* WindowSize;
    _Field_size_(DimensionCount) const UINT* StartPadding;
    _Field_size_(DimensionCount) const UINT* EndPadding;
    _Field_size_(DimensionCount) const UINT* Dilations;
    UINT P;
};

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 to write to. 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*

An array containing 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*

An array containing 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*

An array containing 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*

An array containing 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.

Dilations

Type: _Field_size_(DimensionCount) const UINT*

The values for each spatial dimension of the input tensor InputTensor by which an element within the sliding window is selected for every element of that value. The values are in { Height, Width } when DimensionCount is set to 2, or { Depth, Height, Width } when set to 3.

P

Type: UINT

The value of the P variable in the LP normalization function Y = (X1^P + X2^P + ... + Xn^P) ^ (1/P) where X1 to Xn representing each of the values within the sliding window. In common use cases, this value is either set to 1 or 2, representing either the L1 or L2 normalization respectively.

Remarks

DML_LP_POOLING1_OPERATOR_DESC is like DML_LP_POOLING_OPERATOR_DESC, except with an additional constant array Dilations. When Dilations is set to { 1,1 } for 4D input, or { 1,1,1 } for 5D input features, DML_LP_POOLING1_OPERATOR_DESC is equvalent to DML_LP_POOLING_OPERATOR_DESC.

Availability

This operator was introduced in DML_FEATURE_LEVEL_6_2.

Tensor constraints

InputTensor and OutputTensor must have the same DataType and DimensionCount.

Tensor support

Requirements