Neg(ISASI)

Product	Supported
Atlas 350 Accelerator Card	√
Atlas A3 training product/Atlas A3 inference product	x
Atlas A2 training product/Atlas A2 inference product	x
Atlas 200I/500 A2 inference product	x
Atlas inference product AI Core	x
Atlas inference product Vector Core	x
Atlas training product	x

Performs an element-wise negation on a tensor. The formula is as follows:

$\text{[math]}$

template <typename T>
__aicore__ inline void Neg(const LocalTensor<T>& dst, const LocalTensor<T>& src, const uint32_t count)

**Table 1** Template parameters
Parameter	Description
T	Operand data type. For the Atlas 350 Accelerator Card, the supported data types are int8_t, int16_t, half, int32_t, float, and int64_t.

**Table 2** Parameters
Parameter	Input/Output	Description
dst	Output	Destination operand. The type is LocalTensor. TPosition can be VECIN, VECCALC, or VECOUT. The start address of LocalTensor must be 32-byte aligned.
src	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.
count	Input	Number of elements involved in the computation.

None

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

For more examples, see LINK.

AscendC::Neg(dstLocal, srcLocal, 512);

Result example (both srcLocal and dstLocal are of the int64_t type):

Input (srcLocal): [1 2 3 4 ...]
Output (dstLocal): [-1 -2 -3 -4 ...]

Parent topic: Basic Arithmetic