llvm/mlir/test/Examples/mlir-opt/loop_fusion.mlir

// This file is left in-tree despite having no assertions so it can be
// referenced by the tutorial text.

// RUN: mlir-opt %s

module {
  func.func @producer_consumer_fusion(%arg0: memref<10xf32>, %arg1: memref<10xf32>) {
    %0 = memref.alloc() : memref<10xf32>
    %1 = memref.alloc() : memref<10xf32>
    %cst = arith.constant 0.000000e+00 : f32
    affine.for %arg2 = 0 to 10 {
      affine.store %cst, %0[%arg2] : memref<10xf32>
      affine.store %cst, %1[%arg2] : memref<10xf32>
    }
    affine.for %arg2 = 0 to 10 {
      %2 = affine.load %0[%arg2] : memref<10xf32>
      %3 = arith.addf %2, %2 : f32
      affine.store %3, %arg0[%arg2] : memref<10xf32>
    }
    affine.for %arg2 = 0 to 10 {
      %2 = affine.load %1[%arg2] : memref<10xf32>
      %3 = arith.mulf %2, %2 : f32
      affine.store %3, %arg1[%arg2] : memref<10xf32>
    }
    return
  }
}