Compares

Applicability

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

Function Usage

Compares each element of a tensor with a scalar. If the comparison result is true, the corresponding output bit is set to 1; otherwise, it is set to 0.

Prototype

template <typename T = DefaultType, CMPMODE mode = CMPMODE::EQ, typename U, typename S>
__simd_callee__ inline void Compares(MaskReg& dst, U& srcReg, S scalarValue, MaskReg& mask)

Parameters

Table 1 Template parameters

Parameter

Description

T

Data type of the vector source operand.

For the Atlas 350 Accelerator Card, the supported data types are int8_t, uint8_t, int16_t, uint16_t, half, bfloat16_t, int32_t, uint32_t, float, int64_t, and uint64_t.

mode

Comparison mode. The following options are supported:

  • LT: less than
  • GT: greater than
  • GE: greater than or equal to
  • EQ: equal to
  • NE: not equal to
  • LE: less than or equal to

U

RegTensor type of the source operand. It is automatically inferred by the compiler and does not need to be specified.

S

Data type of a scalar.

For the Atlas 350 Accelerator Card, the supported data types are uint8_t, int8_t, uint16_t, int16_t, uint32_t, int32_t, half, float, bfloat16_t, uint64_t, and int64_t.

Table 2 Parameters

Parameter

Input/Output

Description

dst

Output

Destination operand of the MaskReg type.

srcReg

Input

Source operand.

The type is RegTensor.

scalarValue

Input

Source operand.

The type is scalar.

mask

Input

Valid indication of the source operand element operation. For details, see MaskReg.

Returns

None

Constraints

None

Example

template<typename T>
__simd_vf__ inline void ComparesVF(__ubuf__ T* dstAddr, __ubuf__ T* src0Addr, __ubuf__ T* src1Addr, T scalarValue, uint32_t count, uint32_t oneRepeatSize, uint16_t repeatTimes)
{
    AscendC::Reg::RegTensor<T> srcReg0;
    AscendC::Reg::RegTensor<T> srcReg1;
    AscendC::Reg::RegTensor<T> dstReg;
    AscendC::Reg::MaskReg mask;
    AscendC::Reg::MaskReg cmpMaskReg;
    for (uint16_t i = 0; i < repeatTimes; i++) {
        mask = AscendC::Reg::UpdateMask<T>(count);
        AscendC::Reg::LoadAlign(srcReg0, src0Addr + i * oneRepeatSize);
        AscendC::Reg::LoadAlign(srcReg1, src1Addr + i * oneRepeatSize);       
        AscendC::Reg::Compares<T, AscendC::CMPMODE::EQ>(cmpMaskReg, srcReg0, scalarValue, mask);
        AscendC::Reg::Select(dstReg, srcReg0, srcReg1, cmpMaskReg);
        AscendC::Reg::StoreAlign(dstAddr + i * oneRepeatSize, dstReg, mask);
    }
}