DeNormMin

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

Returns the minimum positive denormalized value of a specified data type.

For the Atlas 350 Accelerator Card, the supported data types are half, bfloat16_t, and float.

Scalar API, which returns a scalar.

constexpr __aicore__ static inline T DeNormMin()

Vector API, which assigns the minimum positive denormalized value to the first count elements of dstLocal.
```
__aicore__ static inline void DeNormMin(const LocalTensor<T>& dstLocal, uint32_t count)
```

**Table 1** Parameters
Parameter	Input/Output	Description
dstLocal	Output	Destination operand. Parameter of the LocalTensor type. TPosition can be VECIN, VECCALC, or VECOUT. The start address of LocalTensor must be 32-byte aligned.
count	Input	Number of elements of the input data.

The scalar API returns the minimum positive denormalized value of the corresponding data type.

The vector API has no return value.

None

Scalar API

float value = AscendC::NumericLimits<float>::DeNormMin();

Vector API

AscendC::NumericLimits<float>::DeNormMin(dstLocal, 256); // Return the minimum positive denormalized value for 256 elements of float.

Parent topic: NumericLimits