// RUN: mlir-opt %s -convert-vector-to-scf -convert-scf-to-cf -convert-vector-to-llvm -convert-func-to-llvm -reconcile-unrealized-casts | \
// RUN: mlir-cpu-runner -e entry -entry-point-result=void \
// RUN: -shared-libs=%mlir_c_runner_utils | \
// RUN: FileCheck %s
func.func @entry() {
// Construct test vector.
%f1 = arith.constant 1.5: f32
%f2 = arith.constant 2.0: f32
%f3 = arith.constant 3.0: f32
%f4 = arith.constant 4.0: f32
%f5 = arith.constant 5.0: f32
%f6 = arith.constant -1.0: f32
%f7 = arith.constant -2.0: f32
%f8 = arith.constant -4.0: f32
%f9 = arith.constant -0.25: f32
%f10 = arith.constant -16.0: f32
%v0 = vector.broadcast %f1 : f32 to vector<10xf32>
%v1 = vector.insert %f2, %v0[1] : f32 into vector<10xf32>
%v2 = vector.insert %f3, %v1[2] : f32 into vector<10xf32>
%v3 = vector.insert %f4, %v2[3] : f32 into vector<10xf32>
%v4 = vector.insert %f5, %v3[4] : f32 into vector<10xf32>
%v5 = vector.insert %f6, %v4[5] : f32 into vector<10xf32>
%v6 = vector.insert %f7, %v5[6] : f32 into vector<10xf32>
%v7 = vector.insert %f8, %v6[7] : f32 into vector<10xf32>
%v8 = vector.insert %f9, %v7[8] : f32 into vector<10xf32>
%v9 = vector.insert %f10, %v8[9] : f32 into vector<10xf32>
vector.print %v9 : vector<10xf32>
//
// test vector:
//
// CHECK: ( 1.5, 2, 3, 4, 5, -1, -2, -4, -0.25, -16 )
// Various vector reductions. Not full functional unit tests, but
// a simple integration test to see if the code runs end-to-end.
%0 = vector.reduction <add>, %v9 : vector<10xf32> into f32
vector.print %0 : f32
// CHECK: -7.75
%1 = vector.reduction <mul>, %v9 : vector<10xf32> into f32
vector.print %1 : f32
// CHECK: -5760
%2 = vector.reduction <minimumf>, %v9 : vector<10xf32> into f32
vector.print %2 : f32
// CHECK: -16
%3 = vector.reduction <maximumf>, %v9 : vector<10xf32> into f32
vector.print %3 : f32
// CHECK: 5
%4 = vector.reduction <minnumf>, %v9 : vector<10xf32> into f32
vector.print %4 : f32
// CHECK: -16
%5 = vector.reduction <maxnumf>, %v9 : vector<10xf32> into f32
vector.print %5 : f32
// CHECK: 5
return
}