Silu

Applicability

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

Function Usage

Performs the Silu operation by element. Below is the formula.

$\text{[math]}$

Prototype

template <typename T, bool isReuseSource = false>
__aicore__ inline void Silu(const LocalTensor<T>& dstLocal, const LocalTensor<T>& srcLocal, uint32_t dataSize)

Parameters

**Table 1** Template parameters
Parameter	Description
T	Data type of the operand. For the Atlas 350 Accelerator Card, the supported data types are half and float. For the Atlas A3 training product/Atlas A3 inference product, the supported data types are half and float. For the Atlas A2 training product/Atlas A2 inference product, the supported data types are half and float. For the Atlas inference product AI Core, the supported data types are half and float.
isReuseSource	Whether the source operand can be modified. This parameter is reserved. Pass the default value false.

**Table 2** API parameters
Parameter	Input/Output	Description
dstLocal	Output	Destination operand. The type is LocalTensor, and TPosition can be VECIN, VECCALC, or VECOUT.
srcLocal	Input	Source operand. The type is LocalTensor, and TPosition can be VECIN, VECCALC, or VECOUT. The source operand must have the same data type as the destination operand.
dataSize	Input	Number of elements involved in the computation.

Returns

None

Constraints

For details about the alignment requirements of the operand address offset, see General Description and Restrictions.
The source operand address must not overlap the destination operand address.
Currently, only the ND format is supported.

Examples

For a complete operator sample, see silu operator sample.

// dstLocal: tensor for storing the Silu computation result
// srcLocal: tensor for storing the Silu computation input

// The number of elements involved in the computation is 512.
AscendC::Silu(dstLocal, srcLocal, 512);

Result example:

Input (srcLocal):
[-100.    -50.    -20.    -10.     -5.     -4.     -3.     -2.
   -1.     -0.5    -0.4    -0.3    -0.2    -0.1    -0.01    0.
    0.      0.01    0.1     0.2     0.3     0.4     0.5     1.
    2.      3.      4.      5.     10.     20.     50.    100.  ]
Output (dstLocal):
[ -0.          -0.          -0.00000004  -0.00045398  -0.03346425  -0.07194484  -0.14227761  -0.23840587
  -0.2689414   -0.18877034  -0.16052495  -0.12766725  -0.0900332   -0.04750208  -0.004975     0.
   0.           0.005025     0.05249792   0.10996681   0.17233276   0.23947507   0.31122968   0.7310586
   1.761594     2.8577225    3.928055     4.9665356    9.999546    20.          50.         100.        ]

Parent topic: Silu APIs