llvm-project/mlir/test/Dialect/GPU/multiple-all-reduce.mlir

26 lines
1.0 KiB
MLIR

// RUN: mlir-opt --gpu-kernel-outlining --convert-gpu-to-nvvm %s | FileCheck %s
func @main() {
%data = memref.alloc() : memref<2x6xf32>
%sum = memref.alloc() : memref<2xf32>
%mul = memref.alloc() : memref<2xf32>
%c1 = constant 1 : index
// ADD + MUL
gpu.launch blocks(%bx, %by, %bz) in (%grid_x = %c1, %grid_y = %c1, %grid_z = %c1)
threads(%tx, %ty, %tz) in (%block_x = %c1, %block_y = %c1, %block_z = %c1) {
%val = memref.load %data[%bx, %tx] : memref<2x6xf32>
%reduced0 = "gpu.all_reduce"(%val) ({}) { op = "add" } : (f32) -> (f32)
memref.store %reduced0, %sum[%bx] : memref<2xf32>
%reduced1 = "gpu.all_reduce"(%val) ({}) { op = "mul" } : (f32) -> (f32)
memref.store %reduced1, %mul[%bx] : memref<2xf32>
gpu.terminator
}
// CHECK: gpu.module @main_kernel {
// CHECK-NEXT: llvm.mlir.global internal @{{.*}}() {addr_space = 3 : i32} : !llvm.array<32 x f32>
// CHECK-NEXT: llvm.mlir.global internal @{{.*}}() {addr_space = 3 : i32} : !llvm.array<32 x f32>
return
}