| // RUN: mlir-opt %s --sparsification-and-bufferization | FileCheck %s --check-prefix=CHECK-NOPARA |
| // RUN: mlir-opt %s --sparsification-and-bufferization="parallelization-strategy=any-storage-any-loop" | FileCheck %s --check-prefix=CHECK-PARA |
| |
| // Test to ensure we can pass parallelization flags into |
| // the mini sparsification and bufferization pipeline. |
| |
| #SparseMatrix = #sparse_tensor.encoding<{ |
| map = (d0, d1) -> (d0 : compressed, d1 : compressed) |
| }> |
| |
| #trait_ss = { |
| indexing_maps = [ |
| affine_map<(i,j) -> (i,j)>, // A |
| affine_map<(i,j) -> (i,j)> // X (out) |
| ], |
| iterator_types = ["parallel", "parallel"], |
| doc = "X(i,j) = A(i,j) * SCALE" |
| } |
| |
| // |
| // CHECK-NOPARA-LABEL: func.func @scale_ss |
| // CHECK-NOPARA: scf.for |
| // |
| // CHECK-PARA-LABEL: func.func @scale_ss |
| // CHECK-PARA: scf.parallel |
| // |
| func.func @scale_ss(%scale: f32, |
| %arga: tensor<?x?xf32, #SparseMatrix>, |
| %argx: tensor<?x?xf32>) -> tensor<?x?xf32> { |
| %0 = linalg.generic #trait_ss |
| ins(%arga: tensor<?x?xf32, #SparseMatrix>) |
| outs(%argx: tensor<?x?xf32>) { |
| ^bb(%a: f32, %x: f32): |
| %0 = arith.mulf %a, %scale : f32 |
| linalg.yield %0 : f32 |
| } -> tensor<?x?xf32> |
| return %0 : tensor<?x?xf32> |
| } |
