| // RUN: mlir-opt %s \ |
| // RUN: -gpu-kernel-outlining \ |
| // RUN: -pass-pipeline='gpu.module(strip-debuginfo,convert-gpu-to-nvvm,gpu-to-cubin)' \ |
| // RUN: -gpu-to-llvm \ |
| // RUN: | mlir-cpu-runner \ |
| // RUN: --shared-libs=%linalg_test_lib_dir/libmlir_cuda_runtime%shlibext \ |
| // RUN: --shared-libs=%linalg_test_lib_dir/libmlir_runner_utils%shlibext \ |
| // RUN: --entry-point-result=void \ |
| // RUN: | FileCheck %s |
| |
| // CHECK-COUNT-8: [{{(5356, ){12}5356}}] |
| func @main() { |
| %arg = memref.alloc() : memref<2x4x13xf32> |
| %dst = memref.cast %arg : memref<2x4x13xf32> to memref<?x?x?xf32> |
| %c0 = arith.constant 0 : index |
| %c1 = arith.constant 1 : index |
| %c2 = arith.constant 2 : index |
| %sx = memref.dim %dst, %c2 : memref<?x?x?xf32> |
| %sy = memref.dim %dst, %c1 : memref<?x?x?xf32> |
| %sz = memref.dim %dst, %c0 : memref<?x?x?xf32> |
| %cast_dst = memref.cast %dst : memref<?x?x?xf32> to memref<*xf32> |
| gpu.host_register %cast_dst : memref<*xf32> |
| gpu.launch blocks(%bx, %by, %bz) in (%grid_x = %c1, %grid_y = %c1, %grid_z = %c1) |
| threads(%tx, %ty, %tz) in (%block_x = %sx, %block_y = %sy, %block_z = %sz) { |
| %t0 = arith.muli %tz, %block_y : index |
| %t1 = arith.addi %ty, %t0 : index |
| %t2 = arith.muli %t1, %block_x : index |
| %idx = arith.addi %tx, %t2 : index |
| %t3 = arith.index_cast %idx : index to i32 |
| %val = arith.sitofp %t3 : i32 to f32 |
| %sum = "gpu.all_reduce"(%val) ({}) { op = "add" } : (f32) -> (f32) |
| memref.store %sum, %dst[%tz, %ty, %tx] : memref<?x?x?xf32> |
| gpu.terminator |
| } |
| call @print_memref_f32(%cast_dst) : (memref<*xf32>) -> () |
| return |
| } |
| |
| func private @print_memref_f32(%ptr : memref<*xf32>) |
