1// RUN: mlir-opt %s -sparsifier="vl=8" | FileCheck %s 2 3#Dense = #sparse_tensor.encoding<{ 4 map = (d0, d1) -> (d0 : dense, d1 : dense) 5}> 6 7#matvec = { 8 indexing_maps = [ 9 affine_map<(i,j) -> (i,j)>, // A 10 affine_map<(i,j) -> (j)>, // b 11 affine_map<(i,j) -> (i)> // x (out) 12 ], 13 iterator_types = ["parallel", "reduction"], 14 doc = "X(i) += A(i,j) * B(j)" 15} 16 17// CHECK-LABEL: llvm.func @kernel_matvec 18// CHECK: llvm.intr.vector.reduce.fadd 19func.func @kernel_matvec(%arga: tensor<?x?xf32, #Dense>, 20 %argb: tensor<?xf32>, 21 %argx: tensor<?xf32>) -> tensor<?xf32> { 22 %x = linalg.generic #matvec 23 ins(%arga, %argb: tensor<?x?xf32, #Dense>, tensor<?xf32>) 24 outs(%argx: tensor<?xf32>) { 25 ^bb(%a: f32, %b: f32, %x: f32): 26 %0 = arith.mulf %a, %b : f32 27 %1 = arith.addf %x, %0 : f32 28 linalg.yield %1 : f32 29 } -> tensor<?xf32> 30 return %x : tensor<?xf32> 31} 32