| // RUN: mlir-opt %s -test-linalg-elementwise-fusion-patterns -split-input-file | FileCheck %s |
| |
| #map0 = affine_map<(d0, d1) -> (d0, d1)> |
| #binary2Dpointwise = { |
| indexing_maps = [#map0, #map0, #map0], |
| iterator_types = ["parallel", "parallel"] |
| } |
| #ternary2Dpointwise = { |
| indexing_maps = [#map0, #map0, #map0, #map0], |
| iterator_types = ["parallel", "parallel"] |
| } |
| func @test_fusion_limit( |
| %arg0 : tensor<?x?xf32>, %arg1 : tensor<?x?xf32>, %arg2 : tensor<?x?xf32>, |
| %arg3 : tensor<?x?xf32>, %arg4 : tensor<?x?xf32>, %arg5 : tensor<?x?xf32>) |
| -> tensor<?x?xf32> { |
| %c0 = arith.constant 0 : index |
| %c1 = arith.constant 1 : index |
| %d0 = tensor.dim %arg0, %c0 : tensor<?x?xf32> |
| %d1 = tensor.dim %arg0, %c1 : tensor<?x?xf32> |
| %init = linalg.init_tensor [%d0, %d1] : tensor<?x?xf32> |
| %0 = linalg.generic #binary2Dpointwise |
| ins(%arg0, %arg1 : tensor<?x?xf32>, tensor<?x?xf32>) |
| outs(%init : tensor<?x?xf32>) { |
| ^bb0(%arg6 : f32, %arg7 : f32, %arg8 : f32): |
| %1 = arith.mulf %arg6, %arg7 : f32 |
| linalg.yield %1 : f32 |
| } -> tensor<?x?xf32> |
| %2 = linalg.generic #binary2Dpointwise |
| ins(%arg2, %arg3 : tensor<?x?xf32>, tensor<?x?xf32>) |
| outs(%init : tensor<?x?xf32>) { |
| ^bb0(%arg6 : f32, %arg7 : f32, %arg8 : f32): |
| %3 = arith.mulf %arg6, %arg7 : f32 |
| linalg.yield %3 : f32 |
| } -> tensor<?x?xf32> |
| %4 = linalg.generic #binary2Dpointwise |
| ins(%arg4, %arg5 : tensor<?x?xf32>, tensor<?x?xf32>) |
| outs(%init : tensor<?x?xf32>) { |
| ^bb0(%arg6 : f32, %arg7 : f32, %arg8 : f32): |
| %5 = arith.mulf %arg6, %arg7 : f32 |
| linalg.yield %5 : f32 |
| } -> tensor<?x?xf32> |
| %6 = linalg.generic #ternary2Dpointwise |
| ins(%0, %2, %4 : tensor<?x?xf32>, tensor<?x?xf32>, tensor<?x?xf32>) |
| outs(%init : tensor<?x?xf32>) { |
| ^bb0(%arg6 : f32, %arg7 : f32, %arg8 : f32, %arg9 : f32): |
| %7 = arith.addf %arg6, %arg7 : f32 |
| %8 = arith.addf %7, %arg8 : f32 |
| linalg.yield %8 : f32 |
| } -> tensor<?x?xf32> |
| return %6 : tensor<?x?xf32> |
| } |
| // CHECK-LABEL: func @test_fusion_limit |
| // CHECK-SAME: %[[ARG0:[a-zA-z0-9_]+]]: tensor<?x?xf32> |
| // CHECK-SAME: %[[ARG1:[a-zA-z0-9_]+]]: tensor<?x?xf32> |
| // CHECK-SAME: %[[ARG2:[a-zA-z0-9_]+]]: tensor<?x?xf32> |
| // CHECK-SAME: %[[ARG3:[a-zA-z0-9_]+]]: tensor<?x?xf32> |
| // CHECK-SAME: %[[ARG4:[a-zA-z0-9_]+]]: tensor<?x?xf32> |
| // CHECK-SAME: %[[ARG5:[a-zA-z0-9_]+]]: tensor<?x?xf32> |
| // CHECK: %[[OP1:.+]] = linalg.generic {{.+}} ins(%[[ARG2]], %[[ARG3]] |
| // CHECK: %[[OP2:.+]] = linalg.generic {{.+}} ins(%[[ARG4]], %[[ARG5]] |
| // CHECK: %[[OP3:.+]] = linalg.generic {{.+}} ins(%[[ARG0]], %[[ARG1]], %[[OP1]], %[[OP2]] |
| // CHECK: return %[[OP3]] |