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

32 lines
1.3 KiB
MLIR

// RUN: mlir-cuda-runner %s --shared-libs=%cuda_wrapper_library_dir/libcuda-runtime-wrappers%shlibext --entry-point-result=void | FileCheck %s
// CHECK: [5.356000e+03, 5.356000e+03, {{.*}}, 5.356000e+03, 5.356000e+03]
func @main() {
%arg = alloc() : memref<13x4x2xf32>
%dst = memref_cast %arg : memref<13x4x2xf32> to memref<?x?x?xf32>
%zero = constant 0 : i32
%one = constant 1 : index
%sx = dim %dst, 0 : memref<?x?x?xf32>
%sy = dim %dst, 1 : memref<?x?x?xf32>
%sz = dim %dst, 2 : memref<?x?x?xf32>
call @mcuMemHostRegister(%dst, %zero) : (memref<?x?x?xf32>, i32) -> ()
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 = %sy, %block_z = %sz)
args(%kernel_dst = %dst) : memref<?x?x?xf32> {
%t0 = muli %tz, %block_y : index
%t1 = addi %ty, %t0 : index
%t2 = muli %t1, %block_x : index
%idx = addi %tx, %t2 : index
%t3 = index_cast %idx : index to i32
%val = sitofp %t3 : i32 to f32
%sum = "gpu.all_reduce"(%val) { op = "add" } : (f32) -> (f32)
store %sum, %kernel_dst[%tx, %ty, %tz] : memref<?x?x?xf32>
gpu.return
}
call @mcuPrintFloat(%dst) : (memref<?x?x?xf32>) -> ()
return
}
func @mcuMemHostRegister(%ptr : memref<?x?x?xf32>, %flags : i32)
func @mcuPrintFloat(%ptr : memref<?x?x?xf32>)