// RUN: mlir-opt -convert-linalg-on-tensors-to-buffers -buffer-placement -split-input-file %s | FileCheck %s -dump-input-on-failure

#map0 = affine_map<(d0) -> (d0)>

// CHECK-LABEL: func @muliple_results_generic_op
func @muliple_results_generic_op(%arg0: tensor<4xf32>) -> (tensor<4xf32>, tensor<4xf32>) {
    %0, %1 = linalg.generic {args_in = 1 : i64, args_out = 2 : i64, indexing_maps = [#map0, #map0, #map0], iterator_types = ["parallel"]} %arg0 {
    ^bb0(%gen_arg1: f32):
        %tmp1 = exp %gen_arg1 : f32
        linalg.yield %tmp1, %tmp1 : f32, f32
    }: tensor<4xf32> -> (tensor<4xf32>, tensor<4xf32>)
    return %0, %1 : tensor<4xf32>, tensor<4xf32>
}
//      CHECK: (%[[NEW_ARG0:.*]]: [[TYPE:.*]], %[[ARG1_RESULT:.*]]: [[TYPE]], %[[ARG2_RESULT:.*]]: [[TYPE]])
//      CHECK: %[[FIRST_ALLOC:.*]] = alloc() : [[TYPE]]
//      CHECK: %[[SECOND_ALLOC:.*]] = alloc() : [[TYPE]]
//      CHECK: linalg.generic
// CHECK-SAME: %[[NEW_ARG0]], %[[FIRST_ALLOC]], %[[SECOND_ALLOC]]
// CHECK-NEXT: ^{{[a-z0-9_]*}}
// CHECK-SAME: %{{.*}}: f32, %{{.*}}: f32, %{{.*}}: f32
// CHECK-NEXT: %{{.*}} = exp
// CHECK-NEXT: linalg.yield
// CHECK-NEXT: [[TYPE]], [[TYPE]], [[TYPE]]
//      CHECK: linalg.copy(%[[FIRST_ALLOC]], %[[ARG1_RESULT]])
//      CHECK: dealloc %[[FIRST_ALLOC]]
//      CHECK: linalg.copy(%[[SECOND_ALLOC]], %[[ARG2_RESULT]])
//      CHECK: dealloc %[[SECOND_ALLOC]]
//      CHECK: return

// -----

#map0 = affine_map<(d0) -> (d0)>

// CHECK-LABEL: func @chained_operations
func @chained_operations(%arg0: tensor<4xf32>) -> tensor<4xf32> {
    %0 = linalg.generic {args_in = 1 : i64, args_out = 1 : i64, indexing_maps = [#map0, #map0], iterator_types = ["parallel"]} %arg0 {
    ^bb0(%gen_arg1: f32):
        %tmp1 = exp %gen_arg1 : f32
        linalg.yield %tmp1 : f32
    }: tensor<4xf32> -> tensor<4xf32>
    %1 = linalg.generic {args_in = 1 : i64, args_out = 1 : i64, indexing_maps = [#map0, #map0], iterator_types = ["parallel"]} %0 {
    ^bb0(%gen_arg2: f32):
        %tmp2 = exp %gen_arg2 : f32
        linalg.yield %tmp2 : f32
    }: tensor<4xf32> -> tensor<4xf32>
    return %1 : tensor<4xf32>
}
//      CHECK: (%[[NEW_ARG0:.*]]: [[TYPE:.*]], %[[ARG1_RESULT:.*]]: [[TYPE]])
//      CHECK: %[[FIRST_ALLOC:.*]] = alloc() : [[TYPE]]
//      CHECK: linalg.generic
// CHECK-SAME: %[[NEW_ARG0]], %[[FIRST_ALLOC]]
//      CHECK: ^{{[a-z0-9_]*}}
// CHECK-SAME: %{{.*}}: f32, %{{.*}}: f32
//      CHECK: [[TYPE]], [[TYPE]]
//      CHECK: %[[SECOND_ALLOC:.*]] = alloc() : [[TYPE]]
//      CHECK: linalg.generic
// CHECK-SAME: %[[FIRST_ALLOC]], %[[SECOND_ALLOC]]
//      CHECK: ^{{[a-z0-9_]*}}
// CHECK-SAME: %{{.*}}: f32, %{{.*}}: f32
//      CHECK: [[TYPE]], [[TYPE]]
//      CHECK: dealloc %[[FIRST_ALLOC]]
//      CHECK: linalg.copy(%[[SECOND_ALLOC]], %[[ARG1_RESULT]])
//      CHECK: dealloc %[[SECOND_ALLOC]]
//      CHECK: return

// -----

// CHECK-LABEL: func @no_linalg_op
func @no_linalg_op(%arg0: f32) -> (f32, f32) {
  %0 = mulf %arg0, %arg0 : f32
  return %0, %0 : f32, f32
}
//      CHECK: (%[[NEW_ARG0:.*]]: [[TYPE:.*]]) -> ([[TYPE]], [[TYPE]])
//      CHECK: %[[RESULT:.*]] = mulf %[[NEW_ARG0]], %[[NEW_ARG0]] : [[TYPE]]
//      CHECK: return %[[RESULT]], %[[RESULT]] : [[TYPE]], [[TYPE]]