all-reduce-min.mlir
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// RUN: mlir-cuda-runner %s --shared-libs=%cuda_wrapper_library_dir/libcuda-runtime-wrappers%shlibext,%linalg_test_lib_dir/libmlir_runner_utils%shlibext --entry-point-result=void | FileCheck %s
func @main() {
%data = alloc() : memref<2x6xi32>
%sum = alloc() : memref<2xi32>
%cst0 = constant 0 : i32
%cst1 = constant 1 : i32
%cst2 = constant 2 : i32
%cst4 = constant 4 : i32
%cst8 = constant 8 : i32
%cst16 = constant 16 : i32
%cst3 = constant 3 : i32
%cst6 = constant 6 : i32
%cst7 = constant 7 : i32
%cst10 = constant 10 : i32
%cst11 = constant 11 : i32
%c0 = constant 0 : index
%c1 = constant 1 : index
%c2 = constant 2 : index
%c3 = constant 3 : index
%c4 = constant 4 : index
%c5 = constant 5 : index
%c6 = constant 6 : index
%cast_data = memref_cast %data : memref<2x6xi32> to memref<*xi32>
gpu.host_register %cast_data : memref<*xi32>
%cast_sum = memref_cast %sum : memref<2xi32> to memref<*xi32>
gpu.host_register %cast_sum : memref<*xi32>
store %cst0, %data[%c0, %c0] : memref<2x6xi32>
store %cst1, %data[%c0, %c1] : memref<2x6xi32>
store %cst2, %data[%c0, %c2] : memref<2x6xi32>
store %cst4, %data[%c0, %c3] : memref<2x6xi32>
store %cst8, %data[%c0, %c4] : memref<2x6xi32>
store %cst16, %data[%c0, %c5] : memref<2x6xi32>
store %cst2, %data[%c1, %c0] : memref<2x6xi32>
store %cst3, %data[%c1, %c1] : memref<2x6xi32>
store %cst6, %data[%c1, %c2] : memref<2x6xi32>
store %cst7, %data[%c1, %c3] : memref<2x6xi32>
store %cst10, %data[%c1, %c4] : memref<2x6xi32>
store %cst11, %data[%c1, %c5] : memref<2x6xi32>
// MIN
gpu.launch blocks(%bx, %by, %bz) in (%grid_x = %c2, %grid_y = %c1, %grid_z = %c1)
threads(%tx, %ty, %tz) in (%block_x = %c6, %block_y = %c1, %block_z = %c1) {
%val = load %data[%bx, %tx] : memref<2x6xi32>
%reduced = "gpu.all_reduce"(%val) ({}) { op = "min" } : (i32) -> (i32)
store %reduced, %sum[%bx] : memref<2xi32>
gpu.terminator
}
call @print_memref_i32(%cast_sum) : (memref<*xi32>) -> ()
// CHECK: [0, 2]
return
}
func @print_memref_i32(memref<*xi32>)