// RUN: mlir-opt %s -transform-interpreter -split-input-file | FileCheck %s #map1 = affine_map<(d0) -> (d0 + 2)> #map2 = affine_map<(d0) -> (d0 + 4)> #map3 = affine_map<(d0) -> (d0 + 3)> func.func @matmul_f32(%A: memref, %M: index, %N: index, %K: index) { %c4 = arith.constant 4 : index %c3 = arith.constant 3 : index %c2 = arith.constant 2 : index %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index %3 = memref.view %A[%c0][%M, %K] : memref to memref %4 = memref.view %A[%c0][%K, %N] : memref to memref %5 = memref.view %A[%c0][%M, %N] : memref to memref %6 = memref.dim %3, %c0 : memref %7 = memref.dim %3, %c1 : memref %8 = memref.dim %4, %c1 : memref scf.for %arg4 = %c0 to %6 step %c2 { scf.for %arg5 = %c0 to %8 step %c3 { scf.for %arg6 = %c0 to %7 step %c4 { %11 = memref.subview %3[%arg4, %arg6][%c2, %c4][1, 1] : memref to memref> %14 = memref.subview %4[%arg6, %arg5][%c4, %c3][1, 1] : memref to memref> %17 = memref.subview %5[%arg4, %arg5][%c2, %c3][1, 1] : memref to memref> linalg.matmul ins(%11, %14: memref>, memref>) outs(%17: memref>) } } } return } // CHECK-LABEL: func @matmul_f32(%{{.*}}: memref, %{{.*}}: index, %{{.*}}: index, %{{.*}}: index) { // CHECK: scf.for %{{.*}} = %{{.*}} to %{{.*}} step %{{.*}} { // CHECK: scf.for %{{.*}} = %{{.*}} to %{{.*}} step %{{.*}} { // CHECK: scf.for %{{.*}} = %{{.*}} to %{{.*}} step %{{.*}} { // CHECK: %[[vA:.*]] = memref.subview {{.*}} : memref // CHECK: %[[vB:.*]] = memref.subview {{.*}} : memref // CHECK: %[[vC:.*]] = memref.subview {{.*}} : memref /// // CHECK: %[[tmpA:.*]] = memref.alloca() : memref<32xi8> // CHECK: %[[fullA:.*]] = memref.view %[[tmpA]][{{.*}}][{{.*}}] : memref<32xi8> to memref // CHECK: %[[partialA:.*]] = memref.subview %[[fullA]]{{.*}} : memref to memref> /// // CHECK: %[[tmpB:.*]] = memref.alloca() : memref<48xi8> // CHECK: %[[fullB:.*]] = memref.view %[[tmpB]][{{.*}}][{{.*}}] : memref<48xi8> to memref // CHECK: %[[partialB:.*]] = memref.subview %[[fullB]]{{.*}} : memref to memref> /// // CHECK: %[[tmpC:.*]] = memref.alloca() : memref<24xi8> // CHECK: %[[fullC:.*]] = memref.view %[[tmpC]][{{.*}}][{{.*}}] : memref<24xi8> to memref // CHECK: %[[partialC:.*]] = memref.subview %[[fullC]]{{.*}} : memref to memref> // CHECK: linalg.copy ins(%[[vA]] : memref>) outs(%[[partialA]] : memref>) // CHECK: linalg.copy ins(%[[vB]] : memref>) outs(%[[partialB]] : memref>) // CHECK: linalg.copy ins(%[[vC]] : memref>) outs(%[[partialC]] : memref>) // // CHECK: linalg.matmul ins(%[[partialA]], %[[partialB]]{{.*}} outs(%[[partialC]] // // CHECK: linalg.copy ins(%[[partialC]] : memref>) outs(%[[vC]] : memref>) // // CHECK-NOT: memref.dealloc %[[tmpA]] : memref<32xi8> // CHECK-NOT: memref.dealloc %[[tmpB]] : memref<48xi8> // CHECK-NOT: memref.dealloc %[[tmpC]] : memref<24xi8> module attributes {transform.with_named_sequence} { transform.named_sequence @__transform_main(%arg1: !transform.any_op {transform.readonly}) { %0 = transform.structured.match ops{["linalg.matmul"]} in %arg1 : (!transform.any_op) -> !transform.any_op %1 = transform.structured.promote %0 { use_alloca } : (!transform.any_op) -> !transform.any_op transform.yield } } // ----- func.func @matmul_f64(%A: memref, %M: index, %N: index, %K: index) { %c4 = arith.constant 4 : index %c3 = arith.constant 3 : index %c2 = arith.constant 2 : index %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index %3 = memref.view %A[%c0][%M, %K] : memref to memref %4 = memref.view %A[%c0][%K, %N] : memref to memref %5 = memref.view %A[%c0][%M, %N] : memref to memref %6 = memref.dim %3, %c0 : memref %7 = memref.dim %3, %c1 : memref %8 = memref.dim %4, %c1 : memref scf.for %arg4 = %c0 to %6 step %c2 { scf.for %arg5 = %c0 to %8 step %c3 { scf.for %arg6 = %c0 to %7 step %c4 { %11 = memref.subview %3[%arg4, %arg6][%c2, %c4][1, 1] : memref to memref> %14 = memref.subview %4[%arg6, %arg5][%c4, %c3][1, 1] : memref to memref> %17 = memref.subview %5[%arg4, %arg5][%c2, %c3][1, 1] : memref to memref> linalg.matmul ins(%11, %14: memref>, memref>) outs(%17: memref>) } } } return } // CHECK-LABEL: func @matmul_f64(%{{.*}}: memref, %{{.*}}: index, %{{.*}}: index, %{{.*}}: index) { // CHECK: scf.for %{{.*}} = %{{.*}} to %{{.*}} step %{{.*}} { // CHECK: scf.for %{{.*}} = %{{.*}} to %{{.*}} step %{{.*}} { // CHECK: scf.for %{{.*}} = %{{.*}} to %{{.*}} step %{{.*}} { // CHECK: %[[vA_f64:.*]] = memref.subview {{.*}} : memref // CHECK: %[[vB_f64:.*]] = memref.subview {{.*}} : memref // CHECK: %[[vC_f64:.*]] = memref.subview {{.*}} : memref /// // CHECK: %[[tmpA_f64:.*]] = memref.alloc() : memref<64xi8> // CHECK: %[[fullA_f64:.*]] = memref.view %[[tmpA_f64]][{{.*}}][{{.*}}] : memref<64xi8> to memref // CHECK: %[[partialA_f64:.*]] = memref.subview %[[fullA_f64]][0, 0] [%{{.*}}, %{{.*}}] [1, 1] : memref to memref> /// // CHECK: %[[tmpB_f64:.*]] = memref.alloc() : memref<96xi8> // CHECK: %[[fullB_f64:.*]] = memref.view %[[tmpB_f64]][{{.*}}][{{.*}}] : memref<96xi8> to memref // CHECK: %[[partialB_f64:.*]] = memref.subview %[[fullB_f64]][0, 0] [%{{.*}}, %{{.*}}] [1, 1] : memref to memref> /// // CHECK: %[[tmpC_f64:.*]] = memref.alloc() : memref<48xi8> // CHECK: %[[fullC_f64:.*]] = memref.view %[[tmpC_f64]][{{.*}}][{{.*}}] : memref<48xi8> to memref // CHECK: %[[partialC_f64:.*]] = memref.subview %[[fullC_f64]][0, 0] [%{{.*}}, %{{.*}}] [1, 1] : memref to memref> // CHECK: linalg.copy ins(%[[vA_f64]] : memref>) outs(%[[partialA_f64]] : memref>) // CHECK: linalg.copy ins(%[[vB_f64]] : memref>) outs(%[[partialB_f64]] : memref>) // CHECK: linalg.copy ins(%[[vC_f64]] : memref>) outs(%[[partialC_f64]] : memref>) // // CHECK: linalg.matmul ins(%[[partialA_f64]], %[[partialB_f64]]{{.*}} outs(%[[partialC_f64]] // // CHECK: linalg.copy ins(%[[partialC_f64]] : memref>) outs(%[[vC_f64]] : memref>) // // CHECK: memref.dealloc %[[tmpA_f64]] : memref<64xi8> // CHECK: memref.dealloc %[[tmpB_f64]] : memref<96xi8> // CHECK: memref.dealloc %[[tmpC_f64]] : memref<48xi8> module attributes {transform.with_named_sequence} { transform.named_sequence @__transform_main(%arg1: !transform.any_op {transform.readonly}) { %0 = transform.structured.match ops{["linalg.matmul"]} in %arg1 : (!transform.any_op) -> !transform.any_op %1 = transform.structured.promote %0 : (!transform.any_op) -> !transform.any_op transform.yield } } // ----- func.func @gemm_shared(%a : memref, %b : memref, %c : memref) { linalg.matmul ins(%a, %b: memref, memref) outs(%c: memref) return } // CHECK: func @gemm_shared // CHECK-SAME: %[[ARG0:[a-zA-Z0-9_]+]]: memref // CHECK-SAME: %[[ARG1:[a-zA-Z0-9_]+]]: memref // CHECK-SAME: %[[ARG2:[a-zA-Z0-9_]+]]: memref // CHECK: %[[alloc_A:.*]] = memref.alloc() : memref<16x16xf32, #gpu.address_space> // CHECK: %[[alloc_B:.*]] = memref.alloc() : memref<16x16xf32, #gpu.address_space> // CHECK-DAG: %[[C16:.*]] = arith.constant 16 // CHECK-DAG: %[[C0:.*]] = arith.constant 0 // CHECK-DAG: %[[C1:.*]] = arith.constant 1 // CHECK: scf.for %{{.*}} = %{{.*}} to %{{.*}} step %{{.*}} { // CHECK: scf.for %{{.*}} = %{{.*}} to %{{.*}} step %{{.*}} { // CHECK: scf.for %{{.*}} = %{{.*}} to %{{.*}} step %{{.*}} { // CHECK: %[[subview_A:.*]] = memref.subview {{.*}} : memref to memref> // CHECK: %[[subview_B:.*]] = memref.subview {{.*}} : memref to memref> // CHECK: %[[subview_C:.*]] = memref.subview {{.*}} : memref to memref> // CHECK: %[[shared_A:.*]] = memref.subview %[[alloc_B]][0, 0] [%{{.*}}, %{{.*}}] [1, 1] : memref<16x16xf32, #gpu.address_space> to memref, #gpu.address_space> // CHECK: %[[shared_B:.*]] = memref.subview %[[alloc_A]][0, 0] [%{{.*}}, %{{.*}}] [1, 1] : memref<16x16xf32, #gpu.address_space> to memref, #gpu.address_space> // CHECK-NEXT: gpu.barrier // CHECK-NEXT: memref.copy %[[subview_A]], %[[shared_A]] : memref> to memref, #gpu.address_space> // CHECK-NEXT: gpu.barrier // CHECK-NEXT: gpu.barrier // CHECK-NEXT: memref.copy %[[subview_B]], %[[shared_B]] : memref> to memref, #gpu.address_space> // CHECK-NEXT: gpu.barrier // CHECK: linalg.matmul ins(%[[shared_A]], %[[shared_B]]{{.*}} outs(%[[subview_C]] module attributes {transform.with_named_sequence} { transform.named_sequence @__transform_main(%arg1: !transform.any_op {transform.readonly}) { %0 = transform.structured.match ops{["linalg.matmul"]} in %arg1 : (!transform.any_op) -> !transform.any_op %1, %loops:3 = transform.structured.tile_using_for %0 [16, 16, 16] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op, !transform.any_op) %2 = transform.structured.promote %1 { operands_to_promote = [0, 1], mapping = [#gpu.memory_space] } : (!transform.any_op) -> !transform.any_op transform.yield } } // ----- func.func @gemm_private(%a : memref, %b : memref, %c : memref) { linalg.matmul ins(%a, %b: memref, memref) outs(%c: memref) return } // CHECK: func @gemm_private // CHECK-SAME: %[[ARG0:[a-zA-Z0-9_]+]]: memref // CHECK-SAME: %[[ARG1:[a-zA-Z0-9_]+]]: memref // CHECK-SAME: %[[ARG2:[a-zA-Z0-9_]+]]: memref // CHECK: %[[alloc_A:.*]] = memref.alloca() : memref<16x16xf32, #gpu.address_space> // CHECK: %[[alloc_B:.*]] = memref.alloca() : memref<16x16xf32, #gpu.address_space> // CHECK-DAG: %[[C16:.*]] = arith.constant 16 // CHECK-DAG: %[[C0:.*]] = arith.constant 0 // CHECK-DAG: %[[C1:.*]] = arith.constant 1 // CHECK: scf.for %{{.*}} = %{{.*}} to %{{.*}} step %{{.*}} { // CHECK: scf.for %{{.*}} = %{{.*}} to %{{.*}} step %{{.*}} { // CHECK: scf.for %{{.*}} = %{{.*}} to %{{.*}} step %{{.*}} { // CHECK: %[[subview_A:.*]] = memref.subview {{.*}} : memref to memref> // CHECK: %[[subview_B:.*]] = memref.subview {{.*}} : memref to memref> // CHECK: %[[subview_C:.*]] = memref.subview {{.*}} : memref to memref> // CHECK: %[[private_A:.*]] = memref.subview %[[alloc_B]][0, 0] [%{{.*}}, %{{.*}}] [1, 1] : memref<16x16xf32, #gpu.address_space> to memref, #gpu.address_space> // CHECK: %[[private_B:.*]] = memref.subview %[[alloc_A]][0, 0] [%{{.*}}, %{{.*}}] [1, 1] : memref<16x16xf32, #gpu.address_space> to memref, #gpu.address_space> // CHECK-NEXT: memref.copy %[[subview_A]], %[[private_A]] : memref> to memref, #gpu.address_space> // CHECK-NEXT: memref.copy %[[subview_B]], %[[private_B]] : memref> to memref, #gpu.address_space> // CHECK: linalg.matmul ins(%[[private_A]], %[[private_B]]{{.*}} outs(%[[subview_C]] module attributes {transform.with_named_sequence} { transform.named_sequence @__transform_main(%arg1: !transform.any_op {transform.readonly}) { %0 = transform.structured.match ops{["linalg.matmul"]} in %arg1 : (!transform.any_op) -> !transform.any_op %1, %loops:3 = transform.structured.tile_using_for %0 [16, 16, 16] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op, !transform.any_op) %2 = transform.structured.promote %1 { operands_to_promote = [0, 1], mapping = [#gpu.memory_space] } : (!transform.any_op) -> !transform.any_op transform.yield } } // ----- #map6 = affine_map<(d0, d1, d2) -> (d0, d2)> #map7 = affine_map<(d0, d1, d2) -> (d1, d2)> #map8 = affine_map<(d0, d1, d2) -> (d0, d1)> // CHECK: promote_rank_reducing_subviews(%[[arg0:.+]]: memref<{{.*}}>, %[[arg1:.+]]: memref<{{.*}}>, %[[arg2:.+]]: memref<{{.*}}>, %[[lb1:.+]]: index, %[[lb2:.+]]: index, %[[lb3:.+]]: index, %[[lb4:.+]]: index, %[[lb5:.+]]: index, %[[lb6:.+]]: index, %[[ub1:.+]]: index, %[[ub2:.+]]: index func.func @promote_rank_reducing_subviews(%arg0: memref>, %arg1: memref<128x3x3x64xf32, strided<[?, ?, ?, ?], offset: ?>>, %arg2: memref, %arg3: index, %arg4: index, %arg5: index, %arg6: index, %arg7: index, %arg8: index, %ub1: index, %ub2: index) { %13 = memref.subview %arg0[%arg3, 0, %arg4, %arg8] [1, 1, %ub1, 32] [1, 1, 1, 1] : memref> to memref> %14 = memref.subview %arg1[0, %arg6, %arg7, %arg8] [128, 1, 1, 32] [1, 1, 1, 1] : memref<128x3x3x64xf32, strided<[?, ?, ?, ?], offset: ?>> to memref<128x32xf32, strided<[?, ?], offset: ?>> %9 = memref.subview %arg2[%arg3, %arg4, %arg5, 0] [1, 1, %ub2, 128] [1, 1, 1, 1] : memref to memref> // CHECK: %[[a_alloc:.+]] = memref.alloc // CHECK: %[[a_view:.+]] = memref.view %[[a_alloc]]{{.*}} // CHECK: %[[a_pro_subview:.+]] = memref.subview %[[a_view]][0, 0] [%[[ub1]], {{.+}}] [1, 1] // CHECK: memref.alloc // CHECK: %[[b_view:.+]] = memref.view // CHECK: %[[b_pro_subview:.+]] = memref.subview %[[b_view]] // CHECK: memref.alloc // CHECK: %[[c_view:.+]] = memref.view // CHECK: %[[c_pro_subview:.+]] = memref.subview %[[c_view]] // CHECK-COUNT-3: linalg.copy // CHECK: linalg.generic // CHECK-SAME: ins(%[[a_pro_subview]], %[[b_pro_subview]] // CHECK-SAME: outs(%[[c_pro_subview]] linalg.generic {indexing_maps = [#map6, #map7, #map8], iterator_types = ["parallel", "parallel", "reduction"]} ins(%13, %14 : memref>, memref<128x32xf32, strided<[?, ?], offset: ?>>) outs(%9 : memref>) { ^bb0(%arg9: f32, %arg10: f32, %arg11: f32): %15 = arith.mulf %arg9, %arg10 : f32 %16 = arith.addf %arg11, %15 : f32 linalg.yield %16 : f32 } return } module attributes {transform.with_named_sequence} { transform.named_sequence @__transform_main(%arg1: !transform.any_op {transform.readonly}) { %0 = transform.structured.match interface{LinalgOp} in %arg1 : (!transform.any_op) -> !transform.any_op %1 = transform.structured.promote %0 : (!transform.any_op) -> !transform.any_op transform.yield } } // ----- #map = affine_map<(d0, d1) -> (d0, d1)> // CHECK-LABEL: func.func @linalg_generic_update_all_function_inputs_outputs( // CHECK-SAME: %[[VAL_0:.*]]: memref<3x4xf32, 1>, // CHECK-SAME: %[[VAL_1:.*]]: memref<3x4xf32, 1>) -> memref<3x4xf32, 1> { func.func @linalg_generic_update_all_function_inputs_outputs(%arg0: memref<3x4xf32, 1>, %arg1: memref<3x4xf32, 1>) -> memref<3x4xf32, 1> { // CHECK: %[[VAL_2:.*]] = memref.alloc() {alignment = 64 : i64} : memref<3x4xf32, 1> // CHECK: %[[VAL_3:.*]] = memref.subview %[[VAL_0]][0, 0] [4, 3] [1, 1] : memref<3x4xf32, 1> to memref<4x3xf32, strided<[4, 1]>, 1> // CHECK: %[[VAL_4:.*]] = memref.subview %[[VAL_1]][0, 0] [4, 3] [1, 1] : memref<3x4xf32, 1> to memref<4x3xf32, strided<[4, 1]>, 1> // CHECK: %[[VAL_5:.*]] = memref.subview %[[VAL_2]][0, 0] [4, 3] [1, 1] : memref<3x4xf32, 1> to memref<4x3xf32, strided<[4, 1]>, 1> %alloc = memref.alloc() {alignment = 64 : i64} : memref<3x4xf32, 1> %subview = memref.subview %arg0[0, 0] [4, 3] [1, 1] : memref<3x4xf32, 1> to memref<4x3xf32, strided<[4, 1]>, 1> %subview_0 = memref.subview %arg1[0, 0] [4, 3] [1, 1] : memref<3x4xf32, 1> to memref<4x3xf32, strided<[4, 1]>, 1> %subview_1 = memref.subview %alloc[0, 0] [4, 3] [1, 1] : memref<3x4xf32, 1> to memref<4x3xf32, strided<[4, 1]>, 1> // CHECK: %[[VAL_6:.*]] = arith.constant 0 : index // CHECK: %[[VAL_7:.*]] = arith.constant 4 : index // CHECK: %[[VAL_8:.*]] = arith.constant 1 : index // CHECK: %[[VAL_9:.*]] = arith.constant 0 : index // CHECK: %[[VAL_10:.*]] = arith.constant 3 : index // CHECK: %[[VAL_11:.*]] = arith.constant 1 : index // CHECK: %[[VAL_12:.*]] = arith.constant 4 : index // CHECK: %[[VAL_13:.*]] = arith.constant 0 : index // CHECK: %[[VAL_14:.*]] = arith.constant 4 : index // CHECK: %[[VAL_15:.*]] = arith.constant 3 : index // CHECK: %[[VAL_16:.*]] = arith.constant 1 : index // CHECK: %[[VAL_17:.*]] = arith.constant 3 : index // CHECK: %[[VAL_18:.*]] = arith.constant 0 : index // CHECK: %[[VAL_19:.*]] = arith.constant 1 : index // CHECK: %[[VAL_20:.*]] = arith.constant 4 : index // CHECK: %[[VAL_21:.*]] = arith.constant 12 : index // CHECK: %[[VAL_22:.*]] = memref.alloc() : memref<48xi8, #gpu.address_space> // CHECK: %[[VAL_23:.*]] = memref.view %[[VAL_22]]{{\[}}%[[VAL_18]]]{{\[}}%[[VAL_12]], %[[VAL_15]]] : memref<48xi8, #gpu.address_space> to memref> // CHECK: %[[VAL_24:.*]] = memref.subview %[[VAL_23]][0, 0] {{\[}}%[[VAL_14]], %[[VAL_17]]] [1, 1] : memref> to memref, #gpu.address_space> // CHECK: %[[VAL_25:.*]] = arith.constant 0 : index // CHECK: %[[VAL_26:.*]] = arith.constant 4 : index // CHECK: %[[VAL_27:.*]] = arith.constant 1 : index // CHECK: %[[VAL_28:.*]] = arith.constant 0 : index // CHECK: %[[VAL_29:.*]] = arith.constant 3 : index // CHECK: %[[VAL_30:.*]] = arith.constant 1 : index // CHECK: %[[VAL_31:.*]] = arith.constant 4 : index // CHECK: %[[VAL_32:.*]] = arith.constant 0 : index // CHECK: %[[VAL_33:.*]] = arith.constant 4 : index // CHECK: %[[VAL_34:.*]] = arith.constant 3 : index // CHECK: %[[VAL_35:.*]] = arith.constant 1 : index // CHECK: %[[VAL_36:.*]] = arith.constant 3 : index // CHECK: %[[VAL_37:.*]] = arith.constant 0 : index // CHECK: %[[VAL_38:.*]] = arith.constant 1 : index // CHECK: %[[VAL_39:.*]] = arith.constant 4 : index // CHECK: %[[VAL_40:.*]] = arith.constant 12 : index // CHECK: %[[VAL_41:.*]] = memref.alloc() : memref<48xi8, #gpu.address_space> // CHECK: %[[VAL_42:.*]] = memref.view %[[VAL_41]]{{\[}}%[[VAL_37]]]{{\[}}%[[VAL_31]], %[[VAL_34]]] : memref<48xi8, #gpu.address_space> to memref> // CHECK: %[[VAL_43:.*]] = memref.subview %[[VAL_42]][0, 0] {{\[}}%[[VAL_33]], %[[VAL_36]]] [1, 1] : memref> to memref, #gpu.address_space> // CHECK: %[[VAL_44:.*]] = arith.constant 0 : index // CHECK: %[[VAL_45:.*]] = arith.constant 4 : index // CHECK: %[[VAL_46:.*]] = arith.constant 1 : index // CHECK: %[[VAL_47:.*]] = arith.constant 0 : index // CHECK: %[[VAL_48:.*]] = arith.constant 3 : index // CHECK: %[[VAL_49:.*]] = arith.constant 1 : index // CHECK: %[[VAL_50:.*]] = arith.constant 4 : index // CHECK: %[[VAL_51:.*]] = arith.constant 0 : index // CHECK: %[[VAL_52:.*]] = arith.constant 4 : index // CHECK: %[[VAL_53:.*]] = arith.constant 3 : index // CHECK: %[[VAL_54:.*]] = arith.constant 1 : index // CHECK: %[[VAL_55:.*]] = arith.constant 3 : index // CHECK: %[[VAL_56:.*]] = arith.constant 0 : index // CHECK: %[[VAL_57:.*]] = arith.constant 1 : index // CHECK: %[[VAL_58:.*]] = arith.constant 4 : index // CHECK: %[[VAL_59:.*]] = arith.constant 12 : index // CHECK: %[[VAL_60:.*]] = memref.alloc() : memref<48xi8, #gpu.address_space> // CHECK: %[[VAL_61:.*]] = memref.view %[[VAL_60]]{{\[}}%[[VAL_56]]]{{\[}}%[[VAL_50]], %[[VAL_53]]] : memref<48xi8, #gpu.address_space> to memref> // CHECK: %[[VAL_62:.*]] = memref.subview %[[VAL_61]][0, 0] {{\[}}%[[VAL_52]], %[[VAL_55]]] [1, 1] : memref> to memref, #gpu.address_space> // CHECK: linalg.copy ins(%[[VAL_3]] : memref<4x3xf32, strided<[4, 1]>, 1>) outs(%[[VAL_24]] : memref, #gpu.address_space>) // CHECK: linalg.copy ins(%[[VAL_4]] : memref<4x3xf32, strided<[4, 1]>, 1>) outs(%[[VAL_43]] : memref, #gpu.address_space>) // CHECK: linalg.generic {doc = "", indexing_maps = [#map, #map, #map], iterator_types = ["parallel", "parallel"], library_call = ""} ins(%[[VAL_24]], %[[VAL_43]] : memref, #gpu.address_space>, memref, #gpu.address_space>) outs(%[[VAL_62]] : memref, #gpu.address_space>) { // CHECK: ^bb0(%[[VAL_63:.*]]: f32, %[[VAL_64:.*]]: f32, %[[VAL_65:.*]]: f32): // CHECK: %[[VAL_66:.*]] = arith.addf %[[VAL_63]], %[[VAL_64]] : f32 // CHECK: linalg.yield %[[VAL_66]] : f32 // CHECK: } linalg.generic {doc = "", indexing_maps = [#map, #map, #map], iterator_types = ["parallel", "parallel"], library_call = ""} ins(%subview, %subview_0 : memref<4x3xf32, strided<[4, 1]>, 1>, memref<4x3xf32, strided<[4, 1]>, 1>) outs(%subview_1 : memref<4x3xf32, strided<[4, 1]>, 1>) { ^bb0(%in: f32, %in_1: f32, %out: f32): %1 = arith.addf %in, %in_1 : f32 linalg.yield %1 : f32 } // CHECK: linalg.copy ins(%[[VAL_62]] : memref, #gpu.address_space>) outs(%[[VAL_5]] : memref<4x3xf32, strided<[4, 1]>, 1>) // CHECK: memref.dealloc %[[VAL_22]] : memref<48xi8, #gpu.address_space> // CHECK: memref.dealloc %[[VAL_41]] : memref<48xi8, #gpu.address_space> // CHECK: memref.dealloc %[[VAL_60]] : memref<48xi8, #gpu.address_space> // CHECK: return %[[VAL_2]] : memref<3x4xf32, 1> // CHECK: } return %alloc : memref<3x4xf32, 1> } module attributes {transform.with_named_sequence} { transform.named_sequence @__transform_main(%arg1: !transform.any_op {transform.readonly}) { %0 = transform.structured.match ops{["linalg.generic"]} in %arg1 : (!transform.any_op) -> !transform.any_op %1 = transform.structured.promote %0 { memory_space = #gpu.address_space } : (!transform.any_op) -> !transform.any_op transform.yield } }