#compilation0 = #iree_codegen.compilation_info<
    lowering_config = <tile_sizes = [[32, 32], [8, 8, 0], [0, 0, 8]]>,
    translation_info = <CPUDoubleTilingPadExpert>,
    workgroup_size = []>
#compilation1 = #iree_codegen.compilation_info<
    lowering_config = <tile_sizes = [[64, 64], [4, 4, 0], [0, 0, 4]]>,
    translation_info = <CPUDoubleTilingPadExpert>,
    workgroup_size = []>
#compilation2 = #iree_codegen.compilation_info<
    lowering_config = <tile_sizes = [[32, 64], [8, 32, 0], [0, 0, 8]], tile_interchange = [[1, 0], [], []]>,
    translation_info = <CPUDoubleTilingPadExpert>,
    workgroup_size = []>

func.func @lowering_config_test() {
  %a = util.unfoldable_constant dense<1.0> : tensor<128x256xf32>
  %b = util.unfoldable_constant dense<2.0> : tensor<256x512xf32>
  %c = util.unfoldable_constant dense<2.0> : tensor<256x1024xf32>
  %0 = "mhlo.dot"(%a, %b) {compilation_info = #compilation0} : (tensor<128x256xf32>, tensor<256x512xf32>) -> tensor<128x512xf32>
  %1 = "mhlo.dot"(%a, %c) {compilation_info = #compilation1} : (tensor<128x256xf32>, tensor<256x1024xf32>) -> tensor<128x1024xf32>
  %2 = "mhlo.dot"(%a, %c) {compilation_info = #compilation2} : (tensor<128x256xf32>, tensor<256x1024xf32>) -> tensor<128x1024xf32>
  check.expect_almost_eq_const(%0, dense<512.0> : tensor<128x512xf32>) : tensor<128x512xf32>
  check.expect_almost_eq_const(%1, dense<512.0> : tensor<128x1024xf32>) : tensor<128x1024xf32>
  check.expect_almost_eq_const(%2, dense<512.0> : tensor<128x1024xf32>) : tensor<128x1024xf32>
  return
}