Interleave
Applicability
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Product |
Supported |
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Atlas 350 Accelerator Card |
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Function Usage
Interleaves the elements from given source operands src0 and src1 and stores them in the result operands dst0 and dst1. The following figure shows the interleaving pattern, where each cell represents an element.

Prototype
1 2 |
template <typename T> __aicore__ inline void Interleave(const LocalTensor<T>& dst0, const LocalTensor<T>& dst1, const LocalTensor<T>& src0, const LocalTensor<T>& src1, const int32_t count) |
Parameters
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Parameter |
Description |
|---|---|
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T |
Operand data type. |
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Parameter |
Input/Output |
Description |
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dst0/dst1 |
Output |
Destination operand. The type is LocalTensor, and TPosition can be VECIN, VECCALC, or VECOUT. The start address of LocalTensor must be 32-byte aligned. For the Atlas 350 Accelerator Card, the supported data types are uint8_t, int8_t, uint16_t, int16_t, half, bfloat16_t, uint32_t, int32_t, float, uint64_t, and int64_t. |
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src0/src1 |
Input |
Source operand. The type is LocalTensor, and TPosition can be VECIN, VECCALC, or VECOUT. The start address of LocalTensor must be 32-byte aligned. The source operand must have the same data type as the destination operand. For the Atlas 350 Accelerator Card, the supported data types are uint8_t, int8_t, uint16_t, int16_t, half, bfloat16_t, uint32_t, int32_t, float, uint64_t, and int64_t. |
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count |
Input |
Number of input or output data elements. The length of dst0, dst1, src0, and src1 equals count. count must be an even number. |
Returns
None
Restrictions
None
Examples
1
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AscendC::Interleave(dst0Local, dst1Local, src0Local, src1Local, 512); |
Result example:
Input (src0Local): [1 2 3 ... 512] Input (src1Local): [513 514 515 ... 1024] Output (dst0Local): [1 513 2 ... 768] Output (dst1Local): [257 769 258 ... 1024]