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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#DCSR  = #sparse_tensor.encoding<{35  map = (d0, d1) -> (d0 : compressed, d1 : compressed)36}>37 38module {39  //40  // Main driver.41  //42  func.func @main() {43    %c0 = arith.constant 0 : index44    %c1 = arith.constant 1 : index45    %c2 = arith.constant 2 : index46    %c3 = arith.constant 3 : index47    %t1 = tensor.empty() : tensor<4x5xf64, #DCSR>48    %t2 = tensor.empty(%c2, %c3) : tensor<?x?xf64, #DCSR>49 50    %d1_0 = tensor.dim %t1, %c0 : tensor<4x5xf64, #DCSR>51    %d2_0 = tensor.dim %t2, %c0 : tensor<?x?xf64, #DCSR>52    %d1_1 = tensor.dim %t1, %c1 : tensor<4x5xf64, #DCSR>53    %d2_1 = tensor.dim %t2, %c1 : tensor<?x?xf64, #DCSR>54 55    // CHECK: 456    vector.print %d1_0 : index57    // CHECK-NEXT: 258    vector.print %d2_0 : index59    // CHECK-NEXT: 560    vector.print %d1_1 : index61    // CHECK-NEXT: 362    vector.print %d2_1 : index63 64    // Release resources.65    bufferization.dealloc_tensor %t1 : tensor<4x5xf64, #DCSR>66    bufferization.dealloc_tensor %t2 : tensor<?x?xf64, #DCSR>67 68    return69  }70}71 72