simple_sum.mlir

// RUN: heir-opt --secretize=entry-function=simple_sum --wrap-generic --canonicalize --cse \
// RUN:   --heir-simd-vectorizer %s | FileCheck %s

// Sum all entries of a tensor into a single scalar
// CHECK-LABEL: @simple_sum
// CHECK: secret.generic
// CHECK-COUNT-5: tensor_ext.rotate
// CHECK-NOT: tensor_ext.rotate
func.func @simple_sum(%arg0: tensor<32xi16>) -> i16 {
  %c0 = arith.constant 0 : index
  %c0_si16 = arith.constant 0 : i16
  %0 = affine.for %i = 0 to 32 iter_args(%sum_iter = %c0_si16) -> i16 {
    %1 = tensor.extract %arg0[%i] : tensor<32xi16>
    %2 = arith.addi %1, %sum_iter : i16
    affine.yield %2 : i16
  }
  return %0 : i16
}