| // 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: [{{(35, ){34}35}}] |
| func @main() { |
| %arg = memref.alloc() : memref<35xf32> |
| %dst = memref.cast %arg : memref<35xf32> to memref<?xf32> |
| %one = arith.constant 1 : index |
| %c0 = arith.constant 0 : index |
| %sx = memref.dim %dst, %c0 : memref<?xf32> |
| %cast_dst = memref.cast %dst : memref<?xf32> to memref<*xf32> |
| gpu.host_register %cast_dst : memref<*xf32> |
| gpu.launch blocks(%bx, %by, %bz) in (%grid_x = %one, %grid_y = %one, %grid_z = %one) |
| threads(%tx, %ty, %tz) in (%block_x = %sx, %block_y = %one, %block_z = %one) { |
| %val = arith.index_cast %tx : index to i32 |
| %xor = "gpu.all_reduce"(%val) ({ |
| ^bb(%lhs : i32, %rhs : i32): |
| %xor = arith.xori %lhs, %rhs : i32 |
| "gpu.yield"(%xor) : (i32) -> () |
| }) : (i32) -> (i32) |
| %res = arith.sitofp %xor : i32 to f32 |
| memref.store %res, %dst[%tx] : memref<?xf32> |
| gpu.terminator |
| } |
| call @print_memref_f32(%cast_dst) : (memref<*xf32>) -> () |
| return |
| } |
| |
| func private @print_memref_f32(memref<*xf32>) |
