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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
// CHECK-COUNT-8: [{{(5356, ){12}5356}}]
func @main() {
%arg = alloc() : memref<2x4x13xf32>
%dst = memref_cast %arg : memref<2x4x13xf32> to memref<?x?x?xf32>
%c0 = constant 0 : index
%c1 = constant 1 : index
%c2 = constant 2 : index
%sx = dim %dst, %c2 : memref<?x?x?xf32>
%sy = dim %dst, %c1 : memref<?x?x?xf32>
%sz = dim %dst, %c0 : memref<?x?x?xf32>
%cast_dst = memref_cast %dst : memref<?x?x?xf32> to memref<*xf32>
gpu.host_register %cast_dst : memref<*xf32>
gpu.launch blocks(%bx, %by, %bz) in (%grid_x = %c1, %grid_y = %c1, %grid_z = %c1)
threads(%tx, %ty, %tz) in (%block_x = %sx, %block_y = %sy, %block_z = %sz) {
%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, %dst[%tz, %ty, %tx] : memref<?x?x?xf32>
gpu.terminator
}
call @print_memref_f32(%cast_dst) : (memref<*xf32>) -> ()
return
}
func @print_memref_f32(%ptr : memref<*xf32>)
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