AI Engine Intrinsics User Guide (AIE) v2025.2
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Overview

256-bit vector types are vectors of 8-bit, 16-bit, 32-bit, 64-bit or 128-bit vector elements. These vectors have 1, 2, 4, 8, 16 or 32 lanes.

Note
Vectors with 128-bit elements are only used for accumlator load/stores seen here: Extract
Vectors with 64-bit elementes are only used for upshift/srs operations found here: Upshift and Shift-Round-Saturate

Data Structures

class  v16int16
 
class  v1cint128
 
class  v2cint64
 
class  v2int128
 
class  v32int8
 
class  v32uint8
 
class  v4cint32
 
class  v4int64
 
class  v8cint16
 
class  v8int32
 

Data Structure Documentation

◆ v16int16

class v16int16

◆ v1cint128

class v1cint128
Note
Vectors with 128-bit elements are only used for accumlator load/stores seen here: Extract

◆ v2cint64

class v2cint64
Note
Vectors with 64-bit elementes are only used for upshift/srs operations found here: Upshift and Shift-Round-Saturate

◆ v2int128

class v2int128
Note
Vectors with 128-bit elements are only used for accumlator load/stores seen here: Extract

◆ v32int8

class v32int8

◆ v32uint8

class v32uint8

◆ v4cint32

class v4cint32

◆ v4int64

class v4int64
Note
Vectors with 64-bit elementes are only used for upshift/srs operations found here: Upshift and Shift-Round-Saturate

◆ v8cint16

class v8cint16

◆ v8int32

class v8int32