DML_MAX_POOLING_OPERATOR_DESC structure (directml.h)
Computes the maximum value across the elements within the sliding window over the input tensor.
Syntax
struct DML_MAX_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;
};
Members
InputTensor
Type: const DML_TENSOR_DESC*
An input tensor of Sizes { BatchCount, ChannelCount, Height, Width }
if InputTensor.DimensionCount is 4, and { BatchCount, ChannelCount, Depth, Height, Weight }
if InputTensor.DimensionCount is 5.
OutputTensor
Type: const DML_TENSOR_DESC*
An output tensor to write the results 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: 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.
Remarks
A newer version of this operator, DML_MAX_POOLING1_OPERATOR_DESC, was introduced in DML_FEATURE_LEVEL_2_0
.
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
DML_FEATURE_LEVEL_5_0 and above
Tensor | Kind | Supported dimension counts | Supported data types |
---|---|---|---|
InputTensor | Input | 4 to 5 | FLOAT32, FLOAT16, INT64, INT32, INT16, INT8, UINT64, UINT32, UINT16, UINT8 |
OutputTensor | Output | 4 to 5 | FLOAT32, FLOAT16, INT64, INT32, INT16, INT8, UINT64, UINT32, UINT16, UINT8 |
DML_FEATURE_LEVEL_3_0 and above
Tensor | Kind | Supported dimension counts | Supported data types |
---|---|---|---|
InputTensor | Input | 4 to 5 | FLOAT32, FLOAT16, INT8, UINT8 |
OutputTensor | Output | 4 to 5 | FLOAT32, FLOAT16, INT8, UINT8 |
DML_FEATURE_LEVEL_1_0 and above
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 |