hanchenye-scalehls/test/Transforms/Loop/affine-loop-unroll-jam.mlir

41 lines
1.5 KiB
MLIR

// RUN: scalehls-opt -scalehls-affine-loop-unroll-jam="unroll-factor=2" %s | FileCheck %s
// CHECK: #map = affine_map<(d0) -> (d0 + 1)>
// CHECK: #set0 = affine_set<(d0, d1) : (d0 - d1 >= 0)>
// CHECK: #set1 = affine_set<(d0) : (d0 == 0)>
#set0 = affine_set<(d0, d1) : (d0 - d1 >= 0)>
#set1 = affine_set<(d0) : (d0 == 0)>
module {
func @test_syrk(%arg0: f32, %arg1: f32, %arg2: memref<16x16xf32>, %arg3: memref<16x16xf32>) {
// CHECK: affine.for %arg4 = 0 to 16 {
// CHECK: affine.for %arg5 = 0 to 16 {
// CHECK: affine.for %arg6 = 0 to 16 step 2 {
// CHECK-NOT: affine.for %arg7 = 0 to 2 {
affine.for %arg4 = 0 to 16 {
affine.for %arg5 = 0 to 16 {
affine.for %arg6 = 0 to 16 {
affine.if #set0(%arg5, %arg6) {
%0 = affine.load %arg3[%arg5, %arg6] : memref<16x16xf32>
%1 = arith.mulf %arg1, %0 : f32
affine.if #set1(%arg4) {
affine.store %1, %arg3[%arg5, %arg6] : memref<16x16xf32>
}
%2 = affine.load %arg2[%arg5, %arg4] : memref<16x16xf32>
%3 = affine.load %arg2[%arg6, %arg4] : memref<16x16xf32>
%4 = affine.load %arg3[%arg5, %arg6] : memref<16x16xf32>
%5 = arith.mulf %arg0, %2 : f32
%6 = arith.mulf %5, %3 : f32
%7 = arith.addf %6, %4 : f32
affine.store %7, %arg3[%arg5, %arg6] : memref<16x16xf32>
}
// CHECK: %0 = affine.apply #map(%arg6)
}
}
}
return
}
}