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1// NOTE: this test requires gpu-sm802//3// DEFINE: %{compile} = mlir-opt %s \4// DEFINE:   --sparsifier="enable-gpu-libgen gpu-triple=nvptx64-nvidia-cuda gpu-chip=sm_80 gpu-features=+ptx71 gpu-format=%gpu_compilation_format5// DEFINE: %{run} = mlir-runner \6// DEFINE:   --shared-libs=%mlir_cuda_runtime \7// DEFINE:   --shared-libs=%mlir_c_runner_utils \8// DEFINE:   --e main --entry-point-result=void \9// DEFINE: | FileCheck %s10//11// with RT lib:12//13// RUN: %{compile} enable-runtime-library=true"  | %{run}14//15// without RT lib:16//17// RUN: %{compile} enable-runtime-library=false" | %{run}18 19#CSR = #sparse_tensor.encoding<{20  map = (d0, d1) -> (d0 : dense, d1 : compressed),21  posWidth = 32,22  crdWidth = 3223}>24 25module {26  llvm.func @mgpuCreateSparseEnv()27  llvm.func @mgpuDestroySparseEnv()28 29  // Computes C = A x B with A,B,C sparse CSR.30  func.func @matmulCSR(%A: tensor<8x8xf32, #CSR>,31                       %B: tensor<8x8xf32, #CSR>) -> tensor<8x8xf32, #CSR> {32    %init = tensor.empty() : tensor<8x8xf32, #CSR>33    %C = linalg.matmul34      ins(%A, %B: tensor<8x8xf32, #CSR>,35                  tensor<8x8xf32, #CSR>)36      outs(%init: tensor<8x8xf32, #CSR>) -> tensor<8x8xf32, #CSR>37    return %C: tensor<8x8xf32, #CSR>38  }39 40  //41  // Main driver.42  //43  func.func @main() {44    llvm.call @mgpuCreateSparseEnv(): () -> ()45 46    %c0 = arith.constant 0 : index47    %f0 = arith.constant 0.0 : f3248 49    %t = arith.constant dense<[50       [ 1.0,  0.0,  2.0,  0.0,  0.0,  0.0,  0.0,  3.0],51       [ 0.0,  0.0,  0.0,  0.0,  0.0,  0.0,  0.0,  0.0],52       [ 0.0,  0.0,  4.0,  0.0,  0.0,  0.0,  0.0,  0.0],53       [ 0.0,  0.0,  0.0,  5.0,  0.0,  0.0,  0.0,  0.0],54       [ 0.0,  0.0,  0.0,  0.0,  6.0,  0.0,  0.0,  0.0],55       [ 0.0,  7.0,  8.0,  0.0,  0.0,  0.0,  0.0,  9.0],56       [ 0.0,  0.0, 10.0,  0.0,  0.0,  0.0, 11.0, 12.0],57       [ 0.0, 13.0, 14.0,  0.0,  0.0,  0.0, 15.0, 16.0]58    ]> : tensor<8x8xf32>59    %Acsr = sparse_tensor.convert %t : tensor<8x8xf32> to tensor<8x8xf32, #CSR>60 61    %Ccsr = call @matmulCSR(%Acsr, %Acsr) : (tensor<8x8xf32, #CSR>,62                                             tensor<8x8xf32, #CSR>) -> tensor<8x8xf32, #CSR>63 64    //65    // Verify computed result.66    //67    // CHECK:      ---- Sparse Tensor ----68    // CHECK-NEXT: nse = 2069    // CHECK-NEXT: dim = ( 8, 8 )70    // CHECK-NEXT: lvl = ( 8, 8 )71    // CHECK-NEXT: pos[1] : ( 0, 5, 5, 6, 7, 8, 12, 16, 20 )72    // CHECK-NEXT: crd[1] : ( 0, 1, 2, 6, 7, 2, 3, 4, 1, 2, 6, 7, 1, 2, 6, 7, 1, 2, 6, 7 )73    // CHECK-NEXT: values : ( 1, 39, 52, 45, 51, 16, 25, 36, 117, 158, 135, 144, 156, 318, 301, 324, 208, 430, 405, 436 )74    // CHECK-NEXT: ----75    sparse_tensor.print %Ccsr : tensor<8x8xf32, #CSR>76 77    llvm.call @mgpuDestroySparseEnv(): () -> ()78    return79  }80}81