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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// REDEFINE: %{env} = TENSOR0="%mlir_src_dir/test/Integration/data/test.tns"22// RUN: %{compile} | env %{env} %{run} | FileCheck %s23//24// Do the same run, but now with direct IR generation.25// REDEFINE: %{sparsifier_opts} = enable-runtime-library=false26// RUN: %{compile} | env %{env} %{run} | FileCheck %s27//28// Do the same run, but now with direct IR generation and vectorization.29// REDEFINE: %{sparsifier_opts} = enable-runtime-library=false vl=2 reassociate-fp-reductions=true enable-index-optimizations=true30// RUN: %{compile} | env %{env} %{run} | FileCheck %s31//32// Do the same run, but now with direct IR generation and VLA vectorization.33// RUN: %if mlir_arm_sve_tests %{ %{compile_sve} | env %{env} %{run_sve} | FileCheck %s %}34 35!Filename = !llvm.ptr36 37#SparseTensor = #sparse_tensor.encoding<{38 // Note that any dimToLvl permutation should give the same results39 // since, even though it impacts the sparse storage scheme layout,40 // it should not change the semantics.41 map = (d0, d1, d2, d3,42 d4, d5, d6, d7) -> (d7 : compressed, d6 : compressed,43 d1 : compressed, d2 : compressed,44 d0 : compressed, d3 : compressed,45 d4 : compressed, d5 : compressed)46}>47 48#trait_flatten = {49 indexing_maps = [50 affine_map<(i,j,k,l,m,n,o,p) -> (i,j,k,l,m,n,o,p)>, // A51 affine_map<(i,j,k,l,m,n,o,p) -> (i,j)> // X (out)52 ],53 iterator_types = [ "parallel", "parallel", "reduction", "reduction",54 "reduction", "reduction", "reduction", "reduction" ],55 doc = "X(i,j) += A(i,j,k,l,m,n,o,p)"56}57 58//59// Integration test that lowers a kernel annotated as sparse to60// actual sparse code, initializes a matching sparse storage scheme61// from file, and runs the resulting code with the JIT compiler.62//63module {64 //65 // A kernel that flattens a rank 8 tensor into a dense matrix.66 //67 func.func @kernel_flatten(%arga: tensor<7x3x3x3x3x3x5x3xf64, #SparseTensor>,68 %argx: tensor<7x3xf64>)69 -> tensor<7x3xf64> {70 %0 = linalg.generic #trait_flatten71 ins(%arga: tensor<7x3x3x3x3x3x5x3xf64, #SparseTensor>)72 outs(%argx: tensor<7x3xf64>) {73 ^bb(%a: f64, %x: f64):74 %0 = arith.addf %x, %a : f6475 linalg.yield %0 : f6476 } -> tensor<7x3xf64>77 return %0 : tensor<7x3xf64>78 }79 80 func.func private @getTensorFilename(index) -> (!Filename)81 func.func private @printMemrefF64(%ptr : tensor<*xf64>)82 83 //84 // Main driver that reads tensor from file and calls the sparse kernel.85 //86 func.func @main() {87 %d0 = arith.constant 0.0 : f6488 %c0 = arith.constant 0 : index89 %c1 = arith.constant 1 : index90 %c3 = arith.constant 3 : index91 %c7 = arith.constant 7 : index92 93 // Setup matrix memory that is initialized to zero.94 %x = arith.constant dense<0.000000e+00> : tensor<7x3xf64>95 96 // Read the sparse tensor from file, construct sparse storage.97 %fileName = call @getTensorFilename(%c0) : (index) -> (!Filename)98 %a = sparse_tensor.new %fileName : !Filename to tensor<7x3x3x3x3x3x5x3xf64, #SparseTensor>99 100 // Call the kernel.101 %0 = call @kernel_flatten(%a, %x)102 : (tensor<7x3x3x3x3x3x5x3xf64, #SparseTensor>, tensor<7x3xf64>) -> tensor<7x3xf64>103 104 // Print the result for verification.105 //106 // CHECK: {{\[}}[6.25, 0, 0],107 // CHECK-NEXT: [4.224, 6.21, 0],108 // CHECK-NEXT: [0, 0, 15.455],109 // CHECK-NEXT: [0, 0, 0],110 // CHECK-NEXT: [0, 0, 0],111 // CHECK-NEXT: [0, 0, 0],112 // CHECK-NEXT: [7, 0, 0]]113 //114 %1 = tensor.cast %0 : tensor<7x3xf64> to tensor<*xf64>115 call @printMemrefF64(%1) : (tensor<*xf64>) -> ()116 117 // Release the resources.118 bufferization.dealloc_tensor %a : tensor<7x3x3x3x3x3x5x3xf64, #SparseTensor>119 bufferization.dealloc_tensor %0 : tensor<7x3xf64>120 121 return122 }123}124