llvm-project/mlir/test/mlir-cuda-runner/all-reduce-region.mlir

33 lines
1.2 KiB
MLIR

// RUN: mlir-cuda-runner %s \
// RUN: --shared-libs=%cuda_wrapper_library_dir/libcuda-runtime-wrappers%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 = alloc() : memref<35xf32>
%dst = memref_cast %arg : memref<35xf32> to memref<?xf32>
%one = constant 1 : index
%c0 = constant 0 : index
%sx = 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 = index_cast %tx : index to i32
%xor = "gpu.all_reduce"(%val) ({
^bb(%lhs : i32, %rhs : i32):
%xor = xor %lhs, %rhs : i32
"gpu.yield"(%xor) : (i32) -> ()
}) : (i32) -> (i32)
%res = sitofp %xor : i32 to f32
store %res, %dst[%tx] : memref<?xf32>
gpu.terminator
}
call @print_memref_f32(%cast_dst) : (memref<*xf32>) -> ()
return
}
func private @print_memref_f32(memref<*xf32>)