1*8f0c014bSYinying Li// RUN: mlir-opt %s --sparsification-and-bufferization | FileCheck %s --check-prefix=CHECK-NOPARA 2*8f0c014bSYinying Li// RUN: mlir-opt %s --sparsification-and-bufferization="parallelization-strategy=any-storage-any-loop" | FileCheck %s --check-prefix=CHECK-PARA 3*8f0c014bSYinying Li 4*8f0c014bSYinying Li// Test to ensure we can pass parallelization flags into 5*8f0c014bSYinying Li// the mini sparsification and bufferization pipeline. 6*8f0c014bSYinying Li 7*8f0c014bSYinying Li#SparseMatrix = #sparse_tensor.encoding<{ 8*8f0c014bSYinying Li map = (d0, d1) -> (d0 : compressed, d1 : compressed) 9*8f0c014bSYinying Li}> 10*8f0c014bSYinying Li 11*8f0c014bSYinying Li#trait_ss = { 12*8f0c014bSYinying Li indexing_maps = [ 13*8f0c014bSYinying Li affine_map<(i,j) -> (i,j)>, // A 14*8f0c014bSYinying Li affine_map<(i,j) -> (i,j)> // X (out) 15*8f0c014bSYinying Li ], 16*8f0c014bSYinying Li iterator_types = ["parallel", "parallel"], 17*8f0c014bSYinying Li doc = "X(i,j) = A(i,j) * SCALE" 18*8f0c014bSYinying Li} 19*8f0c014bSYinying Li 20*8f0c014bSYinying Li// 21*8f0c014bSYinying Li// CHECK-NOPARA-LABEL: func.func @scale_ss 22*8f0c014bSYinying Li// CHECK-NOPARA: scf.for 23*8f0c014bSYinying Li// 24*8f0c014bSYinying Li// CHECK-PARA-LABEL: func.func @scale_ss 25*8f0c014bSYinying Li// CHECK-PARA: scf.parallel 26*8f0c014bSYinying Li// 27*8f0c014bSYinying Lifunc.func @scale_ss(%scale: f32, 28*8f0c014bSYinying Li %arga: tensor<?x?xf32, #SparseMatrix>, 29*8f0c014bSYinying Li %argx: tensor<?x?xf32>) -> tensor<?x?xf32> { 30*8f0c014bSYinying Li %0 = linalg.generic #trait_ss 31*8f0c014bSYinying Li ins(%arga: tensor<?x?xf32, #SparseMatrix>) 32*8f0c014bSYinying Li outs(%argx: tensor<?x?xf32>) { 33*8f0c014bSYinying Li ^bb(%a: f32, %x: f32): 34*8f0c014bSYinying Li %0 = arith.mulf %a, %scale : f32 35*8f0c014bSYinying Li linalg.yield %0 : f32 36*8f0c014bSYinying Li } -> tensor<?x?xf32> 37*8f0c014bSYinying Li return %0 : tensor<?x?xf32> 38*8f0c014bSYinying Li} 39