xref: /llvm-project/mlir/test/Dialect/SparseTensor/minipipeline_vector.mlir (revision 438a7d4c982e0a38aaa6544a5ba6736d54600733)
1*438a7d4cSAart Bik// RUN: mlir-opt %s --sparsification-and-bufferization        | FileCheck %s --check-prefix=CHECK-NOVEC
2*438a7d4cSAart Bik// RUN: mlir-opt %s --sparsification-and-bufferization="vl=8" | FileCheck %s --check-prefix=CHECK-VEC
3*438a7d4cSAart Bik
4*438a7d4cSAart Bik// Test to ensure we can pass optimization flags into
5*438a7d4cSAart Bik// the mini sparsification and bufferization pipeline.
6*438a7d4cSAart Bik
7*438a7d4cSAart Bik#SV = #sparse_tensor.encoding<{ map = (d0) -> (d0 : compressed) }>
8*438a7d4cSAart Bik
9*438a7d4cSAart Bik#trait_sum_reduction = {
10*438a7d4cSAart Bik  indexing_maps = [
11*438a7d4cSAart Bik    affine_map<(i) -> (i)>,  // a
12*438a7d4cSAart Bik    affine_map<(i) -> ()>    // x (scalar out)
13*438a7d4cSAart Bik  ],
14*438a7d4cSAart Bik  iterator_types = ["reduction"],
15*438a7d4cSAart Bik  doc = "x += SUM_i a(i)"
16*438a7d4cSAart Bik}
17*438a7d4cSAart Bik
18*438a7d4cSAart Bik//
19*438a7d4cSAart Bik// CHECK-NOVEC-LABEL: func.func @sum_reduction
20*438a7d4cSAart Bik// CHECK-NOVEC:       scf.for
21*438a7d4cSAart Bik// CHECK-NOVEC:         arith.addf %{{.*}} %{{.*}} : f32
22*438a7d4cSAart Bik// CHECK-NOVEC:       }
23*438a7d4cSAart Bik//
24*438a7d4cSAart Bik// CHECK-VEC-LABEL: func.func @sum_reduction
25*438a7d4cSAart Bik// CHECK-VEC:       vector.insertelement
26*438a7d4cSAart Bik// CHECK-VEC:       scf.for
27*438a7d4cSAart Bik// CHECK-VEC:         vector.create_mask
28*438a7d4cSAart Bik// CHECK-VEC:         vector.maskedload
29*438a7d4cSAart Bik// CHECK-VEC:         arith.addf %{{.*}} %{{.*}} : vector<8xf32>
30*438a7d4cSAart Bik// CHECK-VEC:       }
31*438a7d4cSAart Bik// CHECK-VEC:       vector.reduction <add>
32*438a7d4cSAart Bik//
33*438a7d4cSAart Bikfunc.func @sum_reduction(%arga: tensor<?xf32, #SV>,
34*438a7d4cSAart Bik                         %argx: tensor<f32>) -> tensor<f32> {
35*438a7d4cSAart Bik  %0 = linalg.generic #trait_sum_reduction
36*438a7d4cSAart Bik    ins(%arga: tensor<?xf32, #SV>)
37*438a7d4cSAart Bik    outs(%argx: tensor<f32>) {
38*438a7d4cSAart Bik      ^bb(%a: f32, %x: f32):
39*438a7d4cSAart Bik        %0 = arith.addf %x, %a : f32
40*438a7d4cSAart Bik        linalg.yield %0 : f32
41*438a7d4cSAart Bik  } -> tensor<f32>
42*438a7d4cSAart Bik  return %0 : tensor<f32>
43*438a7d4cSAart Bik}
44