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DML_TILE_OPERATOR_DESC structure (directml.h)

  • Article

Constructs an output tensor by tiling the input tensor. The elements in each dimension of the input tensor are repeated by a multiple in the Repeats array.

Syntax

struct DML_TILE_OPERATOR_DESC {
  const DML_TENSOR_DESC *InputTensor;
  const DML_TENSOR_DESC *OutputTensor;
  UINT                  RepeatsCount;
  const UINT            *Repeats;
};

Members

InputTensor

Type: const DML_TENSOR_DESC*

The tensor to read from, which contains the elements to be tiled.

OutputTensor

Type: const DML_TENSOR_DESC*

The tensor to write to, which will hold the tiled output. For each dimension i in [0, InputTensor.DimensionCount-1], the output size is calculated as OutputTensor.Sizes[i] = InputTensor.Sizes[i] * Repeats[i]. This tensor must have the same DimensionCount as the input tensor.

RepeatsCount

Type: UINT

This field determines the size of the Repeats array. This value must be the same as the InputTensor.DimensionCount.

Repeats

Type: const UINT*

Each value in this array corresponds to one of the input tensor's dimensions (in order). Each value is the number of tiled copies to make of that dimension. Values must be larger than 0.

Examples

RepeatsCount: 4
Repeats: {1, 1, 3, 3}

InputTensor: (Sizes:{1, 1, 2, 3}, DataType:FLOAT32)
[[[[1, 2, 3]
   [4, 5, 6]]]]

InputTensor: (Sizes:{1, 1, 6, 9}, DataType:FLOAT32)
[[[[1, 2, 3, 1, 2, 3, 1, 2, 3]
   [4, 5, 6, 4, 5, 6, 4, 5, 6] 
   [1, 2, 3, 1, 2, 3, 1, 2, 3] 
   [4, 5, 6, 4, 5, 6, 4, 5, 6] 
   [1, 2, 3, 1, 2, 3, 1, 2, 3] 
   [4, 5, 6, 4, 5, 6, 4, 5, 6]]]]

Availability

This operator was introduced in DML_FEATURE_LEVEL_1_0.

Tensor constraints

InputTensor and OutputTensor must have the same DataType.

Tensor support

DML_FEATURE_LEVEL_4_1 and above

Tensor Kind Supported dimension counts Supported data types
InputTensor Input 1 to 8 FLOAT32, FLOAT16, INT64, INT32, INT16, INT8, UINT64, UINT32, UINT16, UINT8
OutputTensor Output 1 to 8 FLOAT32, FLOAT16, INT64, INT32, INT16, INT8, UINT64, UINT32, UINT16, UINT8

DML_FEATURE_LEVEL_3_1 and above

Tensor Kind Supported dimension counts Supported data types
InputTensor Input 1 to 8 FLOAT32, FLOAT16, INT32, INT16, INT8, UINT32, UINT16, UINT8
OutputTensor Output 1 to 8 FLOAT32, FLOAT16, INT32, INT16, INT8, UINT32, UINT16, UINT8

DML_FEATURE_LEVEL_2_1 and above

Tensor Kind Supported dimension counts Supported data types
InputTensor Input 4 FLOAT32, FLOAT16, INT32, INT16, INT8, UINT32, UINT16, UINT8
OutputTensor Output 4 FLOAT32, FLOAT16, INT32, INT16, INT8, UINT32, UINT16, UINT8

DML_FEATURE_LEVEL_1_0 and above

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

Requirements

Requirement Value
Header directml.h