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1//--------------------------------------------------------------------------------------------------2// WHEN CREATING A NEW TEST, PLEASE JUST COPY & PASTE WITHOUT EDITS.3//4// Set-up that's shared across all tests in this directory. In principle, this5// config could be moved to lit.local.cfg. However, there are downstream users that6// do not use these LIT config files. Hence why this is kept inline.7//8// DEFINE: %{sparsifier_opts} = enable-runtime-library=true9// DEFINE: %{sparsifier_opts_sve} = enable-arm-sve=true %{sparsifier_opts}10// DEFINE: %{compile} = mlir-opt %s --sparsifier="%{sparsifier_opts}"11// DEFINE: %{compile_sve} = mlir-opt %s --sparsifier="%{sparsifier_opts_sve}"12// DEFINE: %{run_libs} = -shared-libs=%mlir_c_runner_utils,%mlir_runner_utils13// DEFINE: %{run_libs_sve} = -shared-libs=%native_mlir_runner_utils,%native_mlir_c_runner_utils14// DEFINE: %{run_opts} = -e main -entry-point-result=void15// DEFINE: %{run} = mlir-runner %{run_opts} %{run_libs}16// DEFINE: %{run_sve} = %mcr_aarch64_cmd --march=aarch64 --mattr="+sve" %{run_opts} %{run_libs_sve}17//18// DEFINE: %{env} =19//--------------------------------------------------------------------------------------------------20 21// RUN: %{compile} | %{run} | FileCheck %s22//23// Do the same run, but now with direct IR generation.24// REDEFINE: %{sparsifier_opts} = enable-runtime-library=false25// RUN: %{compile} | %{run} | FileCheck %s26//27// Do the same run, but now with direct IR generation and vectorization.28// REDEFINE: %{sparsifier_opts} = enable-runtime-library=false vl=2 reassociate-fp-reductions=true enable-index-optimizations=true29// RUN: %{compile} | %{run} | FileCheck %s30//31// Do the same run, but now with direct IR generation and VLA vectorization.32// RUN: %if mlir_arm_sve_tests %{ %{compile_sve} | %{run_sve} | FileCheck %s %}33 34#SparseVector = #sparse_tensor.encoding<{ map = (d0) -> (d0 : compressed) }>35 36module {37 38 //39 // Sparse kernel.40 //41 func.func @sparse_dot(%a: tensor<1024xf32, #SparseVector>,42 %b: tensor<1024xf32, #SparseVector>,43 %x: tensor<f32>) -> tensor<f32> {44 %dot = linalg.dot ins(%a, %b: tensor<1024xf32, #SparseVector>,45 tensor<1024xf32, #SparseVector>)46 outs(%x: tensor<f32>) -> tensor<f32>47 return %dot : tensor<f32>48 }49 50 //51 // Main driver.52 //53 func.func @main() {54 // Setup two sparse vectors.55 %d1 = arith.constant sparse<56 [ [0], [1], [22], [23], [1022] ], [1.0, 2.0, 3.0, 4.0, 5.0]57 > : tensor<1024xf32>58 %d2 = arith.constant sparse<59 [ [22], [1022], [1023] ], [6.0, 7.0, 8.0]60 > : tensor<1024xf32>61 %s1 = sparse_tensor.convert %d1 : tensor<1024xf32> to tensor<1024xf32, #SparseVector>62 %s2 = sparse_tensor.convert %d2 : tensor<1024xf32> to tensor<1024xf32, #SparseVector>63 64 //65 // Verify the inputs.66 //67 // CHECK: ---- Sparse Tensor ----68 // CHECK-NEXT: nse = 569 // CHECK-NEXT: dim = ( 1024 )70 // CHECK-NEXT: lvl = ( 1024 )71 // CHECK-NEXT: pos[0] : ( 0, 5 )72 // CHECK-NEXT: crd[0] : ( 0, 1, 22, 23, 1022 )73 // CHECK-NEXT: values : ( 1, 2, 3, 4, 5 )74 // CHECK-NEXT: ----75 //76 // CHECK: ---- Sparse Tensor ----77 // CHECK-NEXT: nse = 378 // CHECK-NEXT: dim = ( 1024 )79 // CHECK-NEXT: lvl = ( 1024 )80 // CHECK-NEXT: pos[0] : ( 0, 3 )81 // CHECK-NEXT: crd[0] : ( 22, 1022, 1023 )82 // CHECK-NEXT: values : ( 6, 7, 8 )83 // CHECK-NEXT: ----84 //85 sparse_tensor.print %s1 : tensor<1024xf32, #SparseVector>86 sparse_tensor.print %s2 : tensor<1024xf32, #SparseVector>87 88 // Call the kernel and verify the output.89 //90 // CHECK: 5391 //92 %t = tensor.empty() : tensor<f32>93 %z = arith.constant 0.0 : f3294 %x = tensor.insert %z into %t[] : tensor<f32>95 %0 = call @sparse_dot(%s1, %s2, %x) : (tensor<1024xf32, #SparseVector>,96 tensor<1024xf32, #SparseVector>,97 tensor<f32>) -> tensor<f32>98 %1 = tensor.extract %0[] : tensor<f32>99 vector.print %1 : f32100 101 // Release the resources.102 bufferization.dealloc_tensor %0 : tensor<f32>103 bufferization.dealloc_tensor %s1 : tensor<1024xf32, #SparseVector>104 bufferization.dealloc_tensor %s2 : tensor<1024xf32, #SparseVector>105 106 return107 }108}109