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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} | env %{env} %{run} | FileCheck %s22//23// Do the same run, but now with direct IR generation.24// REDEFINE: %{sparsifier_opts} = enable-runtime-library=false25// RUN: %{compile} | env %{env} %{run} | FileCheck %s26 27#CSR_hi = #sparse_tensor.encoding<{28 map = (i, j) -> ( i : dense, j : loose_compressed)29}>30 31module {32 func.func @main() {33 %c0 = arith.constant 0 : index34 %f0 = arith.constant 0.0 : f6435 %d = arith.constant dense<[[ 1.0, 2.0, 3.0, 4.0 ],36 [ 5.0, 6.0, 7.0, 8.0 ],37 [ 0.0, 0.0, 5.5, 0.0 ],38 [ 9.0, 10.0, 11.0, 12.0 ],39 [13.0, 14.0, 15.0, 16.0 ]]> : tensor<5x4xf64>40 %s = sparse_tensor.convert %d : tensor<5x4xf64> to tensor<5x4xf64, #CSR_hi>41 42 //43 // Note: position for loose_compressed level can vary in the end,44 // therefore we loosely check it with {{.*}}.45 //46 // CHECK: ---- Sparse Tensor ----47 // CHECK-NEXT: nse = 1748 // CHECK-NEXT: dim = ( 5, 4 )49 // CHECK-NEXT: lvl = ( 5, 4 )50 // CHECK-NEXT: pos[1] : ( 0, 4, 4, 8, 8, 9, 9, 13, {{.*}} )51 // CHECK-NEXT: crd[1] : ( 0, 1, 2, 3, 0, 1, 2, 3, 2, 0, 1, 2, 3, 0, 1, 2, 3 )52 // CHECK-NEXT: values : ( 1, 2, 3, 4, 5, 6, 7, 8, 5.5, 9, 10, 11, 12, 13, 14, 15, 16 )53 // CHECK-NEXT: ----54 //55 sparse_tensor.print %s : tensor<5x4xf64, #CSR_hi>56 57 // Release the resources.58 bufferization.dealloc_tensor %s: tensor<5x4xf64, #CSR_hi>59 60 return61 }62}63