Concat

Applicability

Product	Supported
Atlas A3 training products / Atlas A3 inference products	√
Atlas A2 training products / Atlas A2 inference products	√
Atlas 200I/500 A2 inference products	x
Atlas inference product 's AI Core	√
Atlas inference product 's Vector Core	x
Atlas training products	x

Function

Preprocesses data, that is, merges the source operand src to be sorted into the target data concat. After the data is preprocessed, Sort can be performed.

Prototype

      
           template <typename T>
__aicore__ inline void Concat(LocalTensor<T> &concat, const LocalTensor<T> &src, const LocalTensor<T> &tmp, const int32_t repeatTime)

Parameters

**Table 1** Template parameters
Parameter	Description
T	Data type of an operand. For the Atlas A3 training products / Atlas A3 inference products , the supported data types are half and float. For the Atlas A2 training products / Atlas A2 inference products , the supported data types are half and float. For the Atlas inference product 's AI Core, the supported data types are half and float.

**Table 2** Parameters
Parameter	Input/Output	Description
concat	Output	Destination operand. The type is LocalTensor, and the supported TPosition is VECIN, VECCALC, or VECOUT. The start address of the LocalTensor must be 32-byte aligned.
src	Input	Source operand. The type is LocalTensor, and the supported TPosition is VECIN, VECCALC, or VECOUT. The start address of the LocalTensor must be 32-byte aligned. The source operand must have the same data type as the destination operand.
tmp	Input	Temporary space. It is used to store intermediate variables during complex internal computation of the API. The size of the temporary space is obtained by developers. For details about how to obtain the size, see GetConcatTmpSize. The data type must be the same as that of the source operand. The type is LocalTensor, and the supported TPosition is VECIN, VECCALC, or VECOUT. The start address of the LocalTensor must be 32-byte aligned.
repeatTime	Input	Number of iteration repeats. The type is int32_t. 16 elements are processed in each iteration, and the next 16 elements are processed in the next iteration. Value range: repeatTime ∈ [0, 255]

Returns

None

Constraints

For details about the operand address alignment requirements, see General Address Alignment Restrictions.

Example

For details, see the examples in MrgSort.

Parent topic: Sorting operations