Documentation

vcgadd

Function

vcgadd instruction abstraction.

Calculates the sum of each block element. There are eight blocks in total. Mixed addresses are not supported.

Prototype

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class vcgadd(x, y, reduce_num)

Parameters

Parameter

Input/Output

Data Type

Description

x

Input

Tensor variable

Input x-vector tensor. FP16 and FP32 are supported.

y

Output

Tensor variable

Output y-vector tensor. FP16 and FP32 are supported.

reduce_num

Input

int

Reduction multiple of the shape.

Constraints

The value of reduce_num cannot be 0.

Example

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from mskpp import vcgadd, Tensor
ub_x, ub_y = Tensor("UB"), Tensor("UB")
gm_x = Tensor("GM")
reduce_num = 16
ub_x.load(gm_x)
out = vcgadd(ub_x, ub_y, reduce_num)()