74 lines · plain
1// RUN: mlir-opt %s \2// RUN: | mlir-opt -gpu-kernel-outlining \3// RUN: | mlir-opt -pass-pipeline='builtin.module(gpu.module(strip-debuginfo,convert-gpu-to-nvvm),nvvm-attach-target)' \4// RUN: | mlir-opt -gpu-async-region -gpu-to-llvm -reconcile-unrealized-casts -gpu-module-to-binary="format=%gpu_compilation_format" \5// RUN: | mlir-opt -async-to-async-runtime -async-runtime-ref-counting \6// RUN: | mlir-opt -convert-async-to-llvm -convert-func-to-llvm -convert-arith-to-llvm -convert-cf-to-llvm -reconcile-unrealized-casts \7// RUN: | mlir-runner \8// RUN: --shared-libs=%mlir_cuda_runtime \9// RUN: --shared-libs=%mlir_async_runtime \10// RUN: --shared-libs=%mlir_runner_utils \11// RUN: --entry-point-result=void -O0 \12// RUN: | FileCheck %s13 14func.func @main() {15 %c0 = arith.constant 0 : index16 %c1 = arith.constant 1 : index17 %count = arith.constant 2 : index18 19 // initialize h0 on host20 %h0 = memref.alloc(%count) : memref<?xi32>21 %h0_unranked = memref.cast %h0 : memref<?xi32> to memref<*xi32>22 gpu.host_register %h0_unranked : memref<*xi32>23 24 %v0 = arith.constant 42 : i3225 memref.store %v0, %h0[%c0] : memref<?xi32>26 memref.store %v0, %h0[%c1] : memref<?xi32>27 28 // copy h0 to b0 on device.29 %t0, %f0 = async.execute () -> !async.value<memref<?xi32>> {30 %b0 = gpu.alloc(%count) : memref<?xi32>31 gpu.memcpy %b0, %h0 : memref<?xi32>, memref<?xi32>32 async.yield %b0 : memref<?xi32>33 }34 35 // copy h0 to b1 and b2 (fork)36 %t1, %f1 = async.execute [%t0] (37 %f0 as %b0 : !async.value<memref<?xi32>>38 ) -> !async.value<memref<?xi32>> {39 %b1 = gpu.alloc(%count) : memref<?xi32>40 gpu.memcpy %b1, %b0 : memref<?xi32>, memref<?xi32>41 async.yield %b1 : memref<?xi32>42 }43 %t2, %f2 = async.execute [%t0] (44 %f0 as %b0 : !async.value<memref<?xi32>>45 ) -> !async.value<memref<?xi32>> {46 %b2 = gpu.alloc(%count) : memref<?xi32>47 gpu.memcpy %b2, %b0 : memref<?xi32>, memref<?xi32>48 async.yield %b2 : memref<?xi32>49 }50 51 // h0 = b1 + b2 (join).52 %t3 = async.execute [%t1, %t2] (53 %f1 as %b1 : !async.value<memref<?xi32>>,54 %f2 as %b2 : !async.value<memref<?xi32>>55 ) {56 gpu.launch blocks(%bx, %by, %bz) in (%grid_x = %c1, %grid_y = %c1, %grid_z = %c1)57 threads(%tx, %ty, %tz) in (%block_x = %count, %block_y = %c1, %block_z = %c1) {58 %v1 = memref.load %b1[%tx] : memref<?xi32>59 %v2 = memref.load %b2[%tx] : memref<?xi32>60 %sum = arith.addi %v1, %v2 : i3261 memref.store %sum, %h0[%tx] : memref<?xi32>62 gpu.terminator63 }64 async.yield65 }66 67 async.await %t3 : !async.token68 // CHECK: [84, 84]69 call @printMemrefI32(%h0_unranked) : (memref<*xi32>) -> ()70 return71}72 73func.func private @printMemrefI32(memref<*xi32>)74