// RUN: mlir-opt -allow-unregistered-dialect %s -pass-pipeline='builtin.module(func.func(scf-parallel-loop-fusion))' -split-input-file | FileCheck %s func.func @fuse_empty_loops() { %c2 = arith.constant 2 : index %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) { scf.reduce } scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) { scf.reduce } return } // CHECK-LABEL: func @fuse_empty_loops // CHECK-DAG: [[C2:%.*]] = arith.constant 2 : index // CHECK-DAG: [[C0:%.*]] = arith.constant 0 : index // CHECK-DAG: [[C1:%.*]] = arith.constant 1 : index // CHECK: scf.parallel ([[I:%.*]], [[J:%.*]]) = ([[C0]], [[C0]]) // CHECK-SAME: to ([[C2]], [[C2]]) step ([[C1]], [[C1]]) { // CHECK: scf.reduce // CHECK: } // CHECK-NOT: scf.parallel // ----- func.func @fuse_ops_between(%A: f32, %B: f32) -> f32 { %c2 = arith.constant 2 : index %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) { scf.reduce } %res = arith.addf %A, %B : f32 scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) { scf.reduce } return %res : f32 } // CHECK-LABEL: func @fuse_ops_between // CHECK-DAG: [[C0:%.*]] = arith.constant 0 : index // CHECK-DAG: [[C1:%.*]] = arith.constant 1 : index // CHECK-DAG: [[C2:%.*]] = arith.constant 2 : index // CHECK: %{{.*}} = arith.addf %{{.*}}, %{{.*}} : f32 // CHECK: scf.parallel ([[I:%.*]], [[J:%.*]]) = ([[C0]], [[C0]]) // CHECK-SAME: to ([[C2]], [[C2]]) step ([[C1]], [[C1]]) { // CHECK: scf.reduce // CHECK: } // CHECK-NOT: scf.parallel // ----- func.func @fuse_two(%A: memref<2x2xf32>, %B: memref<2x2xf32>) { %c2 = arith.constant 2 : index %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index %c1fp = arith.constant 1.0 : f32 %sum = memref.alloc() : memref<2x2xf32> scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) { %B_elem = memref.load %B[%i, %j] : memref<2x2xf32> %sum_elem = arith.addf %B_elem, %c1fp : f32 memref.store %sum_elem, %sum[%i, %j] : memref<2x2xf32> scf.reduce } scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) { %sum_elem = memref.load %sum[%i, %j] : memref<2x2xf32> %A_elem = memref.load %A[%i, %j] : memref<2x2xf32> %product_elem = arith.mulf %sum_elem, %A_elem : f32 memref.store %product_elem, %B[%i, %j] : memref<2x2xf32> scf.reduce } memref.dealloc %sum : memref<2x2xf32> return } // CHECK-LABEL: func @fuse_two // CHECK-SAME: ([[A:%.*]]: {{.*}}, [[B:%.*]]: {{.*}}) { // CHECK-DAG: [[C2:%.*]] = arith.constant 2 : index // CHECK-DAG: [[C0:%.*]] = arith.constant 0 : index // CHECK-DAG: [[C1:%.*]] = arith.constant 1 : index // CHECK-DAG: [[C1FP:%.*]] = arith.constant 1. // CHECK: [[SUM:%.*]] = memref.alloc() // CHECK: scf.parallel ([[I:%.*]], [[J:%.*]]) = ([[C0]], [[C0]]) // CHECK-SAME: to ([[C2]], [[C2]]) step ([[C1]], [[C1]]) { // CHECK: [[B_ELEM:%.*]] = memref.load [[B]]{{\[}}[[I]], [[J]]] // CHECK: [[SUM_ELEM:%.*]] = arith.addf [[B_ELEM]], [[C1FP]] // CHECK: memref.store [[SUM_ELEM]], [[SUM]]{{\[}}[[I]], [[J]]] // CHECK-NOT: scf.parallel // CHECK: [[SUM_ELEM_:%.*]] = memref.load [[SUM]]{{\[}}[[I]], [[J]]] // CHECK: [[A_ELEM:%.*]] = memref.load [[A]]{{\[}}[[I]], [[J]]] // CHECK: [[PRODUCT_ELEM:%.*]] = arith.mulf [[SUM_ELEM_]], [[A_ELEM]] // CHECK: memref.store [[PRODUCT_ELEM]], [[B]]{{\[}}[[I]], [[J]]] // CHECK: scf.reduce // CHECK: } // CHECK: memref.dealloc [[SUM]] // ----- func.func @fuse_three(%A: memref<2x2xf32>, %B: memref<2x2xf32>) { %c2 = arith.constant 2 : index %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index %c1fp = arith.constant 1.0 : f32 %c2fp = arith.constant 2.0 : f32 %sum = memref.alloc() : memref<2x2xf32> %prod = memref.alloc() : memref<2x2xf32> scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) { %B_elem = memref.load %B[%i, %j] : memref<2x2xf32> %sum_elem = arith.addf %B_elem, %c1fp : f32 memref.store %sum_elem, %sum[%i, %j] : memref<2x2xf32> scf.reduce } scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) { %sum_elem = memref.load %sum[%i, %j] : memref<2x2xf32> %product_elem = arith.mulf %sum_elem, %c2fp : f32 memref.store %product_elem, %prod[%i, %j] : memref<2x2xf32> scf.reduce } scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) { %A_elem = memref.load %A[%i, %j] : memref<2x2xf32> %res_elem = arith.addf %A_elem, %c2fp : f32 memref.store %res_elem, %B[%i, %j] : memref<2x2xf32> } memref.dealloc %sum : memref<2x2xf32> memref.dealloc %prod : memref<2x2xf32> return } // CHECK-LABEL: func @fuse_three // CHECK-SAME: ([[A:%.*]]: {{.*}}, [[B:%.*]]: {{.*}}) { // CHECK-DAG: [[C2:%.*]] = arith.constant 2 : index // CHECK-DAG: [[C0:%.*]] = arith.constant 0 : index // CHECK-DAG: [[C1:%.*]] = arith.constant 1 : index // CHECK-DAG: [[C1FP:%.*]] = arith.constant 1. // CHECK-DAG: [[C2FP:%.*]] = arith.constant 2. // CHECK: [[SUM:%.*]] = memref.alloc() // CHECK: [[PROD:%.*]] = memref.alloc() // CHECK: scf.parallel ([[I:%.*]], [[J:%.*]]) = ([[C0]], [[C0]]) // CHECK-SAME: to ([[C2]], [[C2]]) step ([[C1]], [[C1]]) { // CHECK: [[B_ELEM:%.*]] = memref.load [[B]]{{\[}}[[I]], [[J]]] // CHECK: [[SUM_ELEM:%.*]] = arith.addf [[B_ELEM]], [[C1FP]] // CHECK: memref.store [[SUM_ELEM]], [[SUM]]{{\[}}[[I]], [[J]]] // CHECK-NOT: scf.parallel // CHECK: [[SUM_ELEM_:%.*]] = memref.load [[SUM]]{{\[}}[[I]], [[J]]] // CHECK: [[PRODUCT_ELEM:%.*]] = arith.mulf [[SUM_ELEM_]], [[C2FP]] // CHECK: memref.store [[PRODUCT_ELEM]], [[PROD]]{{\[}}[[I]], [[J]]] // CHECK-NOT: scf.parallel // CHECK: [[A_ELEM:%.*]] = memref.load [[A]]{{\[}}[[I]], [[J]]] // CHECK: [[RES_ELEM:%.*]] = arith.addf [[A_ELEM]], [[C2FP]] // CHECK: memref.store [[RES_ELEM]], [[B]]{{\[}}[[I]], [[J]]] // CHECK: scf.reduce // CHECK: } // CHECK: memref.dealloc [[SUM]] // CHECK: memref.dealloc [[PROD]] // ----- func.func @do_not_fuse_nested_ploop1() { %c2 = arith.constant 2 : index %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) { scf.parallel (%k, %l) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) { scf.reduce } scf.reduce } scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) { scf.reduce } return } // CHECK-LABEL: func @do_not_fuse_nested_ploop1 // CHECK: scf.parallel // CHECK: scf.parallel // CHECK: scf.parallel // ----- func.func @do_not_fuse_nested_ploop2() { %c2 = arith.constant 2 : index %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) { scf.reduce } scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) { scf.parallel (%k, %l) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) { scf.reduce } scf.reduce } return } // CHECK-LABEL: func @do_not_fuse_nested_ploop2 // CHECK: scf.parallel // CHECK: scf.parallel // CHECK: scf.parallel // ----- func.func @do_not_fuse_loops_unmatching_num_loops() { %c2 = arith.constant 2 : index %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) { scf.reduce } scf.parallel (%i) = (%c0) to (%c2) step (%c1) { scf.reduce } return } // CHECK-LABEL: func @do_not_fuse_loops_unmatching_num_loops // CHECK: scf.parallel // CHECK: scf.parallel // ----- func.func @do_not_fuse_loops_with_side_effecting_ops_in_between() { %c2 = arith.constant 2 : index %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) { scf.reduce } %buffer = memref.alloc() : memref<2x2xf32> scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) { scf.reduce } return } // CHECK-LABEL: func @do_not_fuse_loops_with_side_effecting_ops_in_between // CHECK: scf.parallel // CHECK: scf.parallel // ----- func.func @do_not_fuse_loops_unmatching_iteration_space() { %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index %c2 = arith.constant 2 : index %c4 = arith.constant 4 : index scf.parallel (%i, %j) = (%c0, %c0) to (%c4, %c4) step (%c2, %c2) { scf.reduce } scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) { scf.reduce } return } // CHECK-LABEL: func @do_not_fuse_loops_unmatching_iteration_space // CHECK: scf.parallel // CHECK: scf.parallel // ----- func.func @do_not_fuse_unmatching_write_read_patterns( %A: memref<2x2xf32>, %B: memref<2x2xf32>, %C: memref<2x2xf32>, %result: memref<2x2xf32>) { %c2 = arith.constant 2 : index %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index %common_buf = memref.alloc() : memref<2x2xf32> scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) { %B_elem = memref.load %B[%i, %j] : memref<2x2xf32> %C_elem = memref.load %C[%i, %j] : memref<2x2xf32> %sum_elem = arith.addf %B_elem, %C_elem : f32 memref.store %sum_elem, %common_buf[%i, %j] : memref<2x2xf32> scf.reduce } scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) { %k = arith.addi %i, %c1 : index %sum_elem = memref.load %common_buf[%k, %j] : memref<2x2xf32> %A_elem = memref.load %A[%i, %j] : memref<2x2xf32> %product_elem = arith.mulf %sum_elem, %A_elem : f32 memref.store %product_elem, %result[%i, %j] : memref<2x2xf32> scf.reduce } memref.dealloc %common_buf : memref<2x2xf32> return } // CHECK-LABEL: func @do_not_fuse_unmatching_write_read_patterns // CHECK: scf.parallel // CHECK: scf.parallel // ----- func.func @do_not_fuse_unmatching_read_write_patterns( %A: memref<2x2xf32>, %B: memref<2x2xf32>, %common_buf: memref<2x2xf32>) { %c2 = arith.constant 2 : index %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index %sum = memref.alloc() : memref<2x2xf32> scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) { %B_elem = memref.load %B[%i, %j] : memref<2x2xf32> %C_elem = memref.load %common_buf[%i, %j] : memref<2x2xf32> %sum_elem = arith.addf %B_elem, %C_elem : f32 memref.store %sum_elem, %sum[%i, %j] : memref<2x2xf32> scf.reduce } scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) { %k = arith.addi %i, %c1 : index %sum_elem = memref.load %sum[%k, %j] : memref<2x2xf32> %A_elem = memref.load %A[%i, %j] : memref<2x2xf32> %product_elem = arith.mulf %sum_elem, %A_elem : f32 memref.store %product_elem, %common_buf[%j, %i] : memref<2x2xf32> scf.reduce } memref.dealloc %sum : memref<2x2xf32> return } // CHECK-LABEL: func @do_not_fuse_unmatching_read_write_patterns // CHECK: scf.parallel // CHECK: scf.parallel // ----- func.func @do_not_fuse_loops_with_nonfull_alias_defined_in_loop_bodies() { %c2 = arith.constant 2 : index %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index %c1fp = arith.constant 1.0 : f32 %buffer = memref.alloc() : memref<2x2xf32> scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c1) step (%c1, %c1) { memref.store %c1fp, %buffer[%i, %j] : memref<2x2xf32> scf.reduce } scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c1) step (%c1, %c1) { %A = memref.subview %buffer[%i, %c0][2, 1][1, 1] : memref<2x2xf32> to memref<2x1xf32, strided<[2, 1], offset: ?>> %A_elem = memref.load %A[%i, %j] : memref<2x1xf32, strided<[2, 1], offset: ?>> scf.reduce } return } // CHECK-LABEL: func @do_not_fuse_loops_with_nonfull_alias_defined_in_loop_bodies // CHECK: scf.parallel // CHECK: scf.parallel // ----- func.func @nested_fuse(%A: memref<2x2xf32>, %B: memref<2x2xf32>) { %c2 = arith.constant 2 : index %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index %c1fp = arith.constant 1.0 : f32 %sum = memref.alloc() : memref<2x2xf32> scf.parallel (%k) = (%c0) to (%c2) step (%c1) { scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) { %B_elem = memref.load %B[%i, %j] : memref<2x2xf32> %sum_elem = arith.addf %B_elem, %c1fp : f32 memref.store %sum_elem, %sum[%i, %j] : memref<2x2xf32> scf.reduce } scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) { %sum_elem = memref.load %sum[%i, %j] : memref<2x2xf32> %A_elem = memref.load %A[%i, %j] : memref<2x2xf32> %product_elem = arith.mulf %sum_elem, %A_elem : f32 memref.store %product_elem, %B[%i, %j] : memref<2x2xf32> scf.reduce } } memref.dealloc %sum : memref<2x2xf32> return } // CHECK-LABEL: func @nested_fuse // CHECK-SAME: ([[A:%.*]]: {{.*}}, [[B:%.*]]: {{.*}}) { // CHECK-DAG: [[C2:%.*]] = arith.constant 2 : index // CHECK-DAG: [[C0:%.*]] = arith.constant 0 : index // CHECK-DAG: [[C1:%.*]] = arith.constant 1 : index // CHECK-DAG: [[C1FP:%.*]] = arith.constant 1. // CHECK: [[SUM:%.*]] = memref.alloc() // CHECK: scf.parallel // CHECK: scf.parallel ([[I:%.*]], [[J:%.*]]) = ([[C0]], [[C0]]) // CHECK-SAME: to ([[C2]], [[C2]]) step ([[C1]], [[C1]]) { // CHECK: [[B_ELEM:%.*]] = memref.load [[B]]{{\[}}[[I]], [[J]]] // CHECK: [[SUM_ELEM:%.*]] = arith.addf [[B_ELEM]], [[C1FP]] // CHECK: memref.store [[SUM_ELEM]], [[SUM]]{{\[}}[[I]], [[J]]] // CHECK-NOT: scf.parallel // CHECK: [[SUM_ELEM_:%.*]] = memref.load [[SUM]]{{\[}}[[I]], [[J]]] // CHECK: [[A_ELEM:%.*]] = memref.load [[A]]{{\[}}[[I]], [[J]]] // CHECK: [[PRODUCT_ELEM:%.*]] = arith.mulf [[SUM_ELEM_]], [[A_ELEM]] // CHECK: memref.store [[PRODUCT_ELEM]], [[B]]{{\[}}[[I]], [[J]]] // CHECK: scf.reduce // CHECK: } // CHECK: } // CHECK: memref.dealloc [[SUM]] // ----- func.func @do_not_fuse_alias(%A: memref<2x2xf32>, %B: memref<2x2xf32>, %C: memref<2x2xf32>, %result: memref<2x2xf32>, %sum: memref<2x2xf32>) { %c2 = arith.constant 2 : index %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) { %B_elem = memref.load %B[%i, %j] : memref<2x2xf32> %C_elem = memref.load %C[%i, %j] : memref<2x2xf32> %sum_elem = arith.addf %B_elem, %C_elem : f32 memref.store %sum_elem, %sum[%i, %j] : memref<2x2xf32> scf.reduce } scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) { %sum_elem = memref.load %sum[%i, %j] : memref<2x2xf32> %A_elem = memref.load %A[%i, %j] : memref<2x2xf32> %product_elem = arith.mulf %sum_elem, %A_elem : f32 memref.store %product_elem, %result[%i, %j] : memref<2x2xf32> scf.reduce } return } // %sum and %result may alias with other args, do not fuse loops // CHECK-LABEL: func @do_not_fuse_alias // CHECK: scf.parallel // CHECK: scf.parallel // ----- func.func @fuse_when_1st_has_multiple_stores( %A: memref<2x2xf32>, %B: memref<2x2xf32>) { %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index %c2 = arith.constant 2 : index %c0fp = arith.constant 0.0 : f32 %sum = memref.alloc() : memref<2x2xf32> scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) { memref.store %c0fp, %sum[%i, %j] : memref<2x2xf32> %B_elem = memref.load %B[%i, %j] : memref<2x2xf32> %sum_elem = arith.addf %B_elem, %B_elem : f32 memref.store %sum_elem, %sum[%i, %j] : memref<2x2xf32> scf.reduce } scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) { %sum_elem = memref.load %sum[%i, %j] : memref<2x2xf32> %A_elem = memref.load %A[%i, %j] : memref<2x2xf32> %product_elem = arith.mulf %sum_elem, %A_elem : f32 memref.store %product_elem, %B[%i, %j] : memref<2x2xf32> scf.reduce } memref.dealloc %sum : memref<2x2xf32> return } // CHECK-LABEL: func @fuse_when_1st_has_multiple_stores // CHECK-SAME: ([[A:%.*]]: {{.*}}, [[B:%.*]]: {{.*}}) { // CHECK-DAG: [[C0:%.*]] = arith.constant 0 : index // CHECK-DAG: [[C1:%.*]] = arith.constant 1 : index // CHECK-DAG: [[C2:%.*]] = arith.constant 2 : index // CHECK-DAG: [[C0F32:%.*]] = arith.constant 0. // CHECK: [[SUM:%.*]] = memref.alloc() // CHECK: scf.parallel ([[I:%.*]], [[J:%.*]]) = ([[C0]], [[C0]]) // CHECK-SAME: to ([[C2]], [[C2]]) step ([[C1]], [[C1]]) { // CHECK: [[B_ELEM:%.*]] = memref.load [[B]]{{\[}}[[I]], [[J]]] // CHECK: [[SUM_ELEM:%.*]] = arith.addf [[B_ELEM]], [[B_ELEM]] // CHECK: memref.store [[SUM_ELEM]], [[SUM]]{{\[}}[[I]], [[J]]] // CHECK-NOT: scf.parallel // CHECK: [[SUM_ELEM:%.*]] = memref.load [[SUM]]{{\[}}[[I]], [[J]]] // CHECK: [[A_ELEM:%.*]] = memref.load [[A]]{{\[}}[[I]], [[J]]] // CHECK: [[PRODUCT_ELEM:%.*]] = arith.mulf // CHECK: memref.store [[PRODUCT_ELEM]], [[B]]{{\[}}[[I]], [[J]]] // CHECK: scf.reduce // CHECK: } // CHECK: memref.dealloc [[SUM]] // ----- func.func @do_not_fuse_multiple_stores_on_diff_indices( %A: memref<2x2xf32>, %B: memref<2x2xf32>) { %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index %c2 = arith.constant 2 : index %c0fp = arith.constant 0.0 : f32 %sum = memref.alloc() : memref<2x2xf32> scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) { memref.store %c0fp, %sum[%i, %j] : memref<2x2xf32> %B_elem = memref.load %B[%i, %j] : memref<2x2xf32> %sum_elem = arith.addf %B_elem, %B_elem : f32 memref.store %sum_elem, %sum[%c0, %j] : memref<2x2xf32> scf.reduce } scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) { %sum_elem = memref.load %sum[%i, %j] : memref<2x2xf32> %A_elem = memref.load %A[%i, %j] : memref<2x2xf32> %product_elem = arith.mulf %sum_elem, %A_elem : f32 memref.store %product_elem, %B[%i, %j] : memref<2x2xf32> scf.reduce } memref.dealloc %sum : memref<2x2xf32> return } // CHECK-LABEL: func @do_not_fuse_multiple_stores_on_diff_indices // CHECK-SAME: ([[A:%.*]]: {{.*}}, [[B:%.*]]: {{.*}}) { // CHECK-DAG: [[C0:%.*]] = arith.constant 0 : index // CHECK-DAG: [[C1:%.*]] = arith.constant 1 : index // CHECK-DAG: [[C2:%.*]] = arith.constant 2 : index // CHECK-DAG: [[C0F32:%.*]] = arith.constant 0. // CHECK: [[SUM:%.*]] = memref.alloc() // CHECK: scf.parallel ([[I:%.*]], [[J:%.*]]) = ([[C0]], [[C0]]) // CHECK-SAME: to ([[C2]], [[C2]]) step ([[C1]], [[C1]]) { // CHECK: [[B_ELEM:%.*]] = memref.load [[B]]{{\[}}[[I]], [[J]]] // CHECK: [[SUM_ELEM:%.*]] = arith.addf [[B_ELEM]], [[B_ELEM]] // CHECK: memref.store [[SUM_ELEM]], [[SUM]]{{\[}}[[C0]], [[J]]] // CHECK: scf.reduce // CHECK: scf.parallel ([[I:%.*]], [[J:%.*]]) = ([[C0]], [[C0]]) // CHECK: [[SUM_ELEM:%.*]] = memref.load [[SUM]]{{\[}}[[I]], [[J]]] // CHECK: [[A_ELEM:%.*]] = memref.load [[A]]{{\[}}[[I]], [[J]]] // CHECK: [[PRODUCT_ELEM:%.*]] = arith.mulf // CHECK: memref.store [[PRODUCT_ELEM]], [[B]]{{\[}}[[I]], [[J]]] // CHECK: scf.reduce // CHECK: } // CHECK: memref.dealloc [[SUM]] // ----- func.func @fuse_same_indices_by_affine_apply( %A: memref<2x2xf32>, %B: memref<2x2xf32>) { %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index %c2 = arith.constant 2 : index %sum = memref.alloc() : memref<2x3xf32> scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) { %B_elem = memref.load %B[%i, %j] : memref<2x2xf32> %1 = affine.apply affine_map<(d0, d1) -> (d0 + d1)>(%i, %j) memref.store %B_elem, %sum[%i, %1] : memref<2x3xf32> scf.reduce } scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) { %1 = affine.apply affine_map<(d0, d1) -> (d0 + d1)>(%i, %j) %sum_elem = memref.load %sum[%i, %1] : memref<2x3xf32> %A_elem = memref.load %A[%i, %j] : memref<2x2xf32> %product = arith.mulf %sum_elem, %A_elem : f32 memref.store %product, %B[%i, %j] : memref<2x2xf32> scf.reduce } memref.dealloc %sum : memref<2x3xf32> return } // CHECK: #[[$MAP:.*]] = affine_map<(d0, d1) -> (d0 + d1)> // CHECK-LABEL: fuse_same_indices_by_affine_apply // CHECK-SAME: (%[[ARG0:.*]]: memref<2x2xf32>, %[[ARG1:.*]]: memref<2x2xf32>) { // CHECK-DAG: %[[C0:.*]] = arith.constant 0 : index // CHECK-DAG: %[[C1:.*]] = arith.constant 1 : index // CHECK-DAG: %[[C2:.*]] = arith.constant 2 : index // CHECK: %[[ALLOC:.*]] = memref.alloc() : memref<2x3xf32> // CHECK-NEXT: scf.parallel (%[[ARG2:.*]], %[[ARG3:.*]]) = (%[[C0]], %[[C0]]) to (%[[C2]], %[[C2]]) step (%[[C1]], %[[C1]]) { // CHECK-NEXT: %[[S0:.*]] = memref.load %[[ARG1]][%[[ARG2]], %[[ARG3]]] : memref<2x2xf32> // CHECK-NEXT: %[[S1:.*]] = affine.apply #[[$MAP]](%[[ARG2]], %[[ARG3]]) // CHECK-NEXT: memref.store %[[S0]], %[[ALLOC]][%[[ARG2]], %[[S1]]] : memref<2x3xf32> // CHECK-NEXT: %[[S2:.*]] = affine.apply #[[$MAP]](%[[ARG2]], %[[ARG3]]) // CHECK-NEXT: %[[S3:.*]] = memref.load %[[ALLOC]][%[[ARG2]], %[[S2]]] : memref<2x3xf32> // CHECK-NEXT: %[[S4:.*]] = memref.load %[[ARG0]][%[[ARG2]], %[[ARG3]]] : memref<2x2xf32> // CHECK-NEXT: %[[S5:.*]] = arith.mulf %[[S3]], %[[S4]] : f32 // CHECK-NEXT: memref.store %[[S5]], %[[ARG1]][%[[ARG2]], %[[ARG3]]] : memref<2x2xf32> // CHECK-NEXT: scf.reduce // CHECK-NEXT: } // CHECK-NEXT: memref.dealloc %[[ALLOC]] : memref<2x3xf32> // CHECK-NEXT: return // ----- func.func @do_not_fuse_affine_apply_to_non_ind_var( %A: memref<2x2xf32>, %B: memref<2x2xf32>, %OffsetA: index, %OffsetB: index) { %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index %c2 = arith.constant 2 : index %sum = memref.alloc() : memref<2x3xf32> scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) { %B_elem = memref.load %B[%i, %j] : memref<2x2xf32> %1 = affine.apply affine_map<(d0, d1) -> (d0 + d1)>(%i, %OffsetA) memref.store %B_elem, %sum[%i, %1] : memref<2x3xf32> scf.reduce } scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) { %1 = affine.apply affine_map<(d0, d1) -> (d0 + d1)>(%i, %OffsetB) %sum_elem = memref.load %sum[%i, %1] : memref<2x3xf32> %A_elem = memref.load %A[%i, %j] : memref<2x2xf32> %product = arith.mulf %sum_elem, %A_elem : f32 memref.store %product, %B[%i, %j] : memref<2x2xf32> scf.reduce } memref.dealloc %sum : memref<2x3xf32> return } // CHECK: #[[$MAP:.*]] = affine_map<(d0, d1) -> (d0 + d1)> // CHECK-LABEL: do_not_fuse_affine_apply_to_non_ind_var // CHECK-SAME: (%[[ARG0:.*]]: memref<2x2xf32>, %[[ARG1:.*]]: memref<2x2xf32>, %[[ARG2:.*]]: index, %[[ARG3:.*]]: index) { // CHECK-DAG: %[[C0:.*]] = arith.constant 0 : index // CHECK-DAG: %[[C1:.*]] = arith.constant 1 : index // CHECK-DAG: %[[C2:.*]] = arith.constant 2 : index // CHECK: %[[ALLOC:.*]] = memref.alloc() : memref<2x3xf32> // CHECK-NEXT: scf.parallel (%[[ARG4:.*]], %[[ARG5:.*]]) = (%[[C0]], %[[C0]]) to (%[[C2]], %[[C2]]) step (%[[C1]], %[[C1]]) { // CHECK-NEXT: %[[S0:.*]] = memref.load %[[ARG1]][%[[ARG4]], %[[ARG5]]] : memref<2x2xf32> // CHECK-NEXT: %[[S1:.*]] = affine.apply #[[$MAP]](%[[ARG4]], %[[ARG2]]) // CHECK-NEXT: memref.store %[[S0]], %[[ALLOC]][%[[ARG4]], %[[S1]]] : memref<2x3xf32> // CHECK-NEXT: scf.reduce // CHECK-NEXT: } // CHECK-NEXT: scf.parallel (%[[ARG4:.*]], %[[ARG5:.*]]) = (%[[C0]], %[[C0]]) to (%[[C2]], %[[C2]]) step (%[[C1]], %[[C1]]) { // CHECK-NEXT: %[[S0:.*]] = affine.apply #[[$MAP]](%[[ARG4]], %[[ARG3]]) // CHECK-NEXT: %[[S1:.*]] = memref.load %[[ALLOC]][%[[ARG4]], %[[S0]]] : memref<2x3xf32> // CHECK-NEXT: %[[S2:.*]] = memref.load %[[ARG0]][%[[ARG4]], %[[ARG5]]] : memref<2x2xf32> // CHECK-NEXT: %[[S3:.*]] = arith.mulf %[[S1]], %[[S2]] : f32 // CHECK-NEXT: memref.store %[[S3]], %[[ARG1]][%[[ARG4]], %[[ARG5]]] : memref<2x2xf32> // CHECK-NEXT: scf.reduce // CHECK-NEXT: } // CHECK-NEXT: memref.dealloc %[[ALLOC]] : memref<2x3xf32> // CHECK-NEXT: return // ----- func.func @fuse_trivial_rank_reducing_subview() { %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index %c2 = arith.constant 2 : index %c1fp = arith.constant 1.0 : f32 %buf = memref.alloc() : memref<1x2x2xf32> scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) { memref.store %c1fp, %buf[%c0, %i, %j] : memref<1x2x2xf32> scf.reduce } %sub = memref.subview %buf[0, 0, 0][1, 2, 2][1, 1, 1] : memref<1x2x2xf32> to memref<2x2xf32> scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) { %v = memref.load %sub[%i, %j] : memref<2x2xf32> memref.store %v, %buf[%c0, %i, %j] : memref<1x2x2xf32> scf.reduce } memref.dealloc %buf : memref<1x2x2xf32> return } // CHECK-LABEL: func @fuse_trivial_rank_reducing_subview // CHECK: %[[BUF:.*]] = memref.alloc() : memref<1x2x2xf32> // CHECK: %[[SUB:.*]] = memref.subview %[[BUF]] // CHECK: scf.parallel // CHECK: memref.store {{.*}}, %[[BUF]] // CHECK: %[[L:.*]] = memref.load %[[SUB]] // CHECK: memref.store %[[L]], %[[BUF]] // CHECK-NOT: scf.parallel // CHECK: memref.dealloc %[[BUF]] : memref<1x2x2xf32> // ----- func.func @do_not_fuse_nontrivial_subview_offset() { %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index %c2 = arith.constant 2 : index %c1fp = arith.constant 1.0 : f32 %buf = memref.alloc() : memref<2x2x2xf32> scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) { memref.store %c1fp, %buf[%c0, %i, %j] : memref<2x2x2xf32> scf.reduce } %sub = memref.subview %buf[1, 0, 0][1, 2, 2][1, 1, 1] : memref<2x2x2xf32> to memref<2x2xf32, strided<[2, 1], offset: 4>> scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) { %v = memref.load %sub[%i, %j] : memref<2x2xf32, strided<[2, 1], offset: 4>> memref.store %v, %buf[%c0, %i, %j] : memref<2x2x2xf32> scf.reduce } memref.dealloc %buf : memref<2x2x2xf32> return } // CHECK-LABEL: func @do_not_fuse_nontrivial_subview_offset // CHECK: scf.parallel // CHECK: scf.parallel // ----- func.func @fuse_vector_load_store(%A: memref<4x4xf32>) { %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index %c4 = arith.constant 4 : index %vec0 = arith.constant dense<0.0> : vector<4xf32> scf.parallel (%i) = (%c0) to (%c4) step (%c1) { vector.store %vec0, %A[%i, %c0] : memref<4x4xf32>, vector<4xf32> scf.reduce } scf.parallel (%i) = (%c0) to (%c4) step (%c1) { %v = vector.load %A[%i, %c0] : memref<4x4xf32>, vector<4xf32> vector.store %v, %A[%i, %c0] : memref<4x4xf32>, vector<4xf32> scf.reduce } return } // CHECK-LABEL: func @fuse_vector_load_store // CHECK: scf.parallel (%[[I:.*]]) = (%{{.*}}) to (%{{.*}}) step (%{{.*}}) { // CHECK: vector.store // CHECK: %[[V:.*]] = vector.load // CHECK: vector.store %[[V]] // CHECK-NOT: scf.parallel // ----- func.func @do_not_fuse_vector_different_indices(%A: memref<4x4xf32>) { %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index %c4 = arith.constant 4 : index %vec0 = arith.constant dense<0.0> : vector<4xf32> scf.parallel (%i) = (%c0) to (%c4) step (%c1) { vector.store %vec0, %A[%i, %c0] : memref<4x4xf32>, vector<4xf32> scf.reduce } scf.parallel (%i) = (%c0) to (%c4) step (%c1) { %j = affine.apply affine_map<(d0) -> (d0 + 1)>(%i) %v = vector.load %A[%j, %c0] : memref<4x4xf32>, vector<4xf32> vector.store %v, %A[%i, %c0] : memref<4x4xf32>, vector<4xf32> scf.reduce } return } // CHECK-LABEL: func @do_not_fuse_vector_different_indices // CHECK: scf.parallel // CHECK: scf.parallel // ----- func.func @fuse_vector_transfer_same_indices(%A: memref<4x4xf32>) { %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index %c4 = arith.constant 4 : index %zero = arith.constant 0.0 : f32 scf.parallel (%i) = (%c0) to (%c4) step (%c1) { %v = vector.transfer_read %A[%i, %c0], %zero {permutation_map = affine_map<(d0, d1) -> (d1)>, in_bounds = [true]} : memref<4x4xf32>, vector<4xf32> vector.transfer_write %v, %A[%i, %c0] {permutation_map = affine_map<(d0, d1) -> (d1)>, in_bounds = [true]} : vector<4xf32>, memref<4x4xf32> scf.reduce } scf.parallel (%i) = (%c0) to (%c4) step (%c1) { %v = vector.transfer_read %A[%i, %c0], %zero {permutation_map = affine_map<(d0, d1) -> (d1)>, in_bounds = [true]} : memref<4x4xf32>, vector<4xf32> vector.transfer_write %v, %A[%i, %c0] {permutation_map = affine_map<(d0, d1) -> (d1)>, in_bounds = [true]} : vector<4xf32>, memref<4x4xf32> scf.reduce } return } // CHECK-LABEL: func @fuse_vector_transfer_same_indices // CHECK: scf.parallel // CHECK: vector.transfer_read %{{.*}}[%{{.*}}, %{{.*}}] // CHECK: vector.transfer_write %{{.*}}, %{{.*}}[%{{.*}}, %{{.*}}] // CHECK: vector.transfer_read %{{.*}}[%{{.*}}, %{{.*}}] // CHECK: vector.transfer_write %{{.*}}, %{{.*}}[%{{.*}}, %{{.*}}] // CHECK-NOT: scf.parallel // ----- func.func @do_not_fuse_vector_transfer_different_indices(%A: memref<4x4xf32>) { %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index %c4 = arith.constant 4 : index %zero = arith.constant 0.0 : f32 scf.parallel (%i) = (%c0) to (%c4) step (%c1) { %v = vector.transfer_read %A[%i, %c0], %zero {permutation_map = affine_map<(d0, d1) -> (d1)>, in_bounds = [true]} : memref<4x4xf32>, vector<4xf32> vector.transfer_write %v, %A[%i, %c0] {permutation_map = affine_map<(d0, d1) -> (d1)>, in_bounds = [true]} : vector<4xf32>, memref<4x4xf32> scf.reduce } scf.parallel (%i) = (%c0) to (%c4) step (%c1) { %j = affine.apply affine_map<(d0) -> (d0 + 1)>(%i) %v = vector.transfer_read %A[%j, %c0], %zero {permutation_map = affine_map<(d0, d1) -> (d1)>, in_bounds = [true]} : memref<4x4xf32>, vector<4xf32> vector.transfer_write %v, %A[%i, %c0] {permutation_map = affine_map<(d0, d1) -> (d1)>, in_bounds = [true]} : vector<4xf32>, memref<4x4xf32> scf.reduce } return } // CHECK-LABEL: func @do_not_fuse_vector_transfer_different_indices // CHECK: scf.parallel // CHECK: scf.parallel // ----- func.func @fuse_vector_transfer_with_subview(%A: memref<1x4xf32>) { %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index %c4 = arith.constant 4 : index %zero = arith.constant 0.0 : f32 %vec = arith.constant dense<1.0> : vector<4xf32> scf.parallel (%i) = (%c0) to (%c1) step (%c1) { %sub = memref.subview %A[0, 0][1, 4][1, 1] : memref<1x4xf32> to memref<4xf32> vector.transfer_write %vec, %sub[%c0] {permutation_map = affine_map<(d0) -> (d0)>, in_bounds = [true]} : vector<4xf32>, memref<4xf32> scf.reduce } scf.parallel (%i) = (%c0) to (%c1) step (%c1) { %sum = scf.for %k = %c0 to %c4 step %c1 iter_args(%acc = %zero) -> f32 { %v = memref.load %A[%c0, %k] : memref<1x4xf32> %n = arith.addf %v, %acc : f32 scf.yield %n : f32 } memref.store %sum, %A[%c0, %c0] : memref<1x4xf32> scf.reduce } return } // CHECK-LABEL: func @fuse_vector_transfer_with_subview // CHECK: scf.parallel // CHECK: vector.transfer_write // CHECK: scf.for // CHECK-NOT: scf.parallel // ----- func.func @do_not_fuse_vector_transfer_nontrivial_subview(%A: memref<2x4xf32>) { %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index %zero = arith.constant 0.0 : f32 scf.parallel (%i) = (%c0) to (%c1) step (%c1) { %v = vector.transfer_read %A[%c0, %i], %zero {permutation_map = affine_map<(d0, d1) -> (d1)>, in_bounds = [true]} : memref<2x4xf32>, vector<1xf32> vector.transfer_write %v, %A[%c0, %i] {permutation_map = affine_map<(d0, d1) -> (d1)>, in_bounds = [true]} : vector<1xf32>, memref<2x4xf32> scf.reduce } %sub = memref.subview %A[1, 0][1, 4][1, 1] : memref<2x4xf32> to memref<4xf32, strided<[1], offset: 4>> scf.parallel (%i) = (%c0) to (%c1) step (%c1) { %v = vector.transfer_read %sub[%i], %zero {in_bounds = [true]} : memref<4xf32, strided<[1], offset: 4>>, vector<1xf32> vector.transfer_write %v, %sub[%i] {in_bounds = [true]} : vector<1xf32>, memref<4xf32, strided<[1], offset: 4>> scf.reduce } return } // CHECK-LABEL: func @do_not_fuse_vector_transfer_nontrivial_subview // CHECK: scf.parallel // CHECK: scf.parallel // ----- func.func @do_not_fuse_vector_transfer_different_masks(%A: memref<1x4xf32>) { %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index %zero = arith.constant 0.0 : f32 %mask_true = vector.create_mask %c1 : vector<1xi1> %mask_false = vector.create_mask %c0 : vector<1xi1> scf.parallel (%i) = (%c0) to (%c1) step (%c1) { %v = vector.transfer_read %A[%c0, %i], %zero, %mask_true {permutation_map = affine_map<(d0, d1) -> (d1)>, in_bounds = [true]} : memref<1x4xf32>, vector<1xf32> vector.transfer_write %v, %A[%c0, %i], %mask_true {permutation_map = affine_map<(d0, d1) -> (d1)>, in_bounds = [true]} : vector<1xf32>, memref<1x4xf32> scf.reduce } scf.parallel (%i) = (%c0) to (%c1) step (%c1) { %v = vector.transfer_read %A[%c0, %i], %zero, %mask_false {permutation_map = affine_map<(d0, d1) -> (d1)>, in_bounds = [true]} : memref<1x4xf32>, vector<1xf32> vector.transfer_write %v, %A[%c0, %i], %mask_false {permutation_map = affine_map<(d0, d1) -> (d1)>, in_bounds = [true]} : vector<1xf32>, memref<1x4xf32> scf.reduce } return } // CHECK-LABEL: func @do_not_fuse_vector_transfer_different_masks // CHECK: scf.parallel // CHECK: scf.parallel // ----- func.func @fuse_vector_transfer_subview_rank_reducing(%A: memref<1x4xf32>, %B: memref<1x4xf32>) { %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index %c4 = arith.constant 4 : index %zero = arith.constant 0.0 : f32 %vec = arith.constant dense<1.0> : vector<4xf32> scf.parallel (%i) = (%c0) to (%c1) step (%c1) { %sub = memref.subview %A[%i, %c0][1, 4][1, 1] : memref<1x4xf32> to memref<4xf32, strided<[1], offset: ?>> vector.transfer_write %vec, %sub[%c0] {permutation_map = affine_map<(d0) -> (d0)>, in_bounds = [true]} : vector<4xf32>, memref<4xf32, strided<[1], offset: ?>> scf.reduce } scf.parallel (%i) = (%c0) to (%c1) step (%c1) { %sum = scf.for %k = %c0 to %c4 step %c1 iter_args(%acc = %zero) -> f32 { %v = memref.load %A[%i, %k] : memref<1x4xf32> %n = arith.addf %v, %acc : f32 scf.yield %n : f32 } memref.store %sum, %B[%i, %c0] : memref<1x4xf32> scf.reduce } return } // CHECK-LABEL: func @fuse_vector_transfer_subview_rank_reducing // CHECK: scf.parallel // CHECK: vector.transfer_write // CHECK: scf.for // CHECK-NOT: scf.parallel // ----- func.func @do_not_fuse_vector_transfer_subview_offset(%A: memref<1x4xf32>, %B: memref<1x4xf32>) { %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index %c4 = arith.constant 4 : index %zero = arith.constant 0.0 : f32 %vec = arith.constant dense<1.0> : vector<4xf32> scf.parallel (%i) = (%c0) to (%c1) step (%c1) { %sub = memref.subview %A[%i, %c0][1, 4][1, 1] : memref<1x4xf32> to memref<4xf32, strided<[1], offset: ?>> vector.transfer_write %vec, %sub[%c0] {permutation_map = affine_map<(d0) -> (d0)>, in_bounds = [true]} : vector<4xf32>, memref<4xf32, strided<[1], offset: ?>> scf.reduce } scf.parallel (%i) = (%c0) to (%c1) step (%c1) { %sum = scf.for %k = %c0 to %c4 step %c1 iter_args(%acc = %zero) -> f32 { %v = memref.load %A[%i, %k] : memref<1x4xf32> %n = arith.addf %v, %acc : f32 scf.yield %n : f32 } // Read from an offset alias to prevent fusion. %off = memref.subview %A[%i, %c1][1, 3][1, 1] : memref<1x4xf32> to memref<3xf32, strided<[1], offset: ?>> %v0 = memref.load %off[%c0] : memref<3xf32, strided<[1], offset: ?>> %res = arith.addf %sum, %v0 : f32 memref.store %res, %B[%i, %c0] : memref<1x4xf32> scf.reduce } return } // CHECK-LABEL: func @do_not_fuse_vector_transfer_subview_offset // CHECK: scf.parallel // CHECK: scf.parallel // ----- func.func @fuse_vector_transfer_no_subview(%A: memref<1x4xf32>, %B: memref<1x4xf32>) { %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index %c4 = arith.constant 4 : index %zero = arith.constant 0.0 : f32 %vec = arith.constant dense<2.0> : vector<4xf32> scf.parallel (%i) = (%c0) to (%c1) step (%c1) { vector.transfer_write %vec, %A[%c0, %i] {permutation_map = affine_map<(d0, d1) -> (d1)>, in_bounds = [true]} : vector<4xf32>, memref<1x4xf32> scf.reduce } scf.parallel (%i) = (%c0) to (%c1) step (%c1) { %sum = scf.for %k = %c0 to %c4 step %c1 iter_args(%acc = %zero) -> f32 { %v = memref.load %A[%c0, %k] : memref<1x4xf32> %n = arith.addf %v, %acc : f32 scf.yield %n : f32 } memref.store %sum, %B[%c0, %c0] : memref<1x4xf32> scf.reduce } return } // CHECK-LABEL: func @fuse_vector_transfer_no_subview // CHECK: vector.transfer_write // CHECK: scf.for // CHECK-NOT: scf.parallel // ----- func.func @fuse_vector_transfer_scalar_load_rank2(%A: memref<2x4xf32>, %B: memref<2x4xf32>) { %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index %c2 = arith.constant 2 : index %vec = arith.constant dense<1.0> : vector<2x4xf32> scf.parallel (%i) = (%c0) to (%c1) step (%c1) { vector.transfer_write %vec, %A[%c0, %c0] {permutation_map = affine_map<(d0, d1) -> (d0, d1)>, in_bounds = [true, true]} : vector<2x4xf32>, memref<2x4xf32> scf.reduce } scf.parallel (%i) = (%c0) to (%c1) step (%c1) { %v0 = memref.load %A[%c0, %c1] : memref<2x4xf32> %v1 = memref.load %A[%c1, %c2] : memref<2x4xf32> %sum = arith.addf %v0, %v1 : f32 memref.store %sum, %B[%c0, %c0] : memref<2x4xf32> scf.reduce } return } // CHECK-LABEL: func @fuse_vector_transfer_scalar_load_rank2 // CHECK: scf.parallel // CHECK: vector.transfer_write // CHECK: memref.load // CHECK: memref.load // CHECK-NOT: scf.parallel // ----- func.func @fuse_vector_transfer_scalar_load_loop_rank2(%A: memref<2x4xf32>, %B: memref<2x4xf32>) { %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index %c4 = arith.constant 4 : index %zero = arith.constant 0.0 : f32 %vec = arith.constant dense<2.0> : vector<2x4xf32> scf.parallel (%i) = (%c0) to (%c1) step (%c1) { vector.transfer_write %vec, %A[%c0, %c0] {permutation_map = affine_map<(d0, d1) -> (d0, d1)>, in_bounds = [true, true]} : vector<2x4xf32>, memref<2x4xf32> scf.reduce } scf.parallel (%i) = (%c0) to (%c1) step (%c1) { %sum = scf.for %k = %c0 to %c4 step %c1 iter_args(%acc = %zero) -> f32 { %v = memref.load %A[%c1, %k] : memref<2x4xf32> %n = arith.addf %v, %acc : f32 scf.yield %n : f32 } memref.store %sum, %B[%c0, %c0] : memref<2x4xf32> scf.reduce } return } // CHECK-LABEL: func @fuse_vector_transfer_scalar_load_loop_rank2 // CHECK: scf.parallel // CHECK: vector.transfer_write // CHECK: scf.for // CHECK-NOT: scf.parallel // ----- func.func @fuse_vector_store_scalar_load_rank2(%A: memref<2x4xf32>, %B: memref<2x4xf32>) { %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index %c2 = arith.constant 2 : index %c3 = arith.constant 3 : index %vec = arith.constant dense<3.0> : vector<2x4xf32> scf.parallel (%i) = (%c0) to (%c1) step (%c1) { vector.store %vec, %A[%c0, %c0] : memref<2x4xf32>, vector<2x4xf32> scf.reduce } scf.parallel (%i) = (%c0) to (%c1) step (%c1) { %v0 = memref.load %A[%c1, %c2] : memref<2x4xf32> %v1 = memref.load %A[%c0, %c3] : memref<2x4xf32> %sum = arith.addf %v0, %v1 : f32 memref.store %sum, %B[%c0, %c0] : memref<2x4xf32> scf.reduce } return } // CHECK-LABEL: func @fuse_vector_store_scalar_load_rank2 // CHECK: scf.parallel // CHECK: vector.store // CHECK: memref.load // CHECK: memref.load // CHECK-NOT: scf.parallel // ----- func.func @fuse_reductions_two(%A: memref<2x2xf32>, %B: memref<2x2xf32>) -> (f32, f32) { %c2 = arith.constant 2 : index %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index %init1 = arith.constant 1.0 : f32 %init2 = arith.constant 2.0 : f32 %res1 = scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) init(%init1) -> f32 { %A_elem = memref.load %A[%i, %j] : memref<2x2xf32> scf.reduce(%A_elem : f32) { ^bb0(%lhs: f32, %rhs: f32): %1 = arith.addf %lhs, %rhs : f32 scf.reduce.return %1 : f32 } } %res2 = scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) init(%init2) -> f32 { %B_elem = memref.load %B[%i, %j] : memref<2x2xf32> scf.reduce(%B_elem : f32) { ^bb0(%lhs: f32, %rhs: f32): %1 = arith.mulf %lhs, %rhs : f32 scf.reduce.return %1 : f32 } } return %res1, %res2 : f32, f32 } // CHECK-LABEL: func @fuse_reductions_two // CHECK-SAME: (%[[A:.*]]: memref<2x2xf32>, %[[B:.*]]: memref<2x2xf32>) -> (f32, f32) // CHECK-DAG: %[[C0:.*]] = arith.constant 0 : index // CHECK-DAG: %[[C1:.*]] = arith.constant 1 : index // CHECK-DAG: %[[C2:.*]] = arith.constant 2 : index // CHECK-DAG: %[[INIT1:.*]] = arith.constant 1.000000e+00 : f32 // CHECK-DAG: %[[INIT2:.*]] = arith.constant 2.000000e+00 : f32 // CHECK: %[[RES:.*]]:2 = scf.parallel (%[[I:.*]], %[[J:.*]]) = (%[[C0]], %[[C0]]) // CHECK-SAME: to (%[[C2]], %[[C2]]) step (%[[C1]], %[[C1]]) // CHECK-SAME: init (%[[INIT1]], %[[INIT2]]) -> (f32, f32) // CHECK: %[[VAL_A:.*]] = memref.load %[[A]][%[[I]], %[[J]]] // CHECK: %[[VAL_B:.*]] = memref.load %[[B]][%[[I]], %[[J]]] // CHECK: scf.reduce(%[[VAL_A]], %[[VAL_B]] : f32, f32) { // CHECK: ^bb0(%[[LHS:.*]]: f32, %[[RHS:.*]]: f32): // CHECK: %[[R:.*]] = arith.addf %[[LHS]], %[[RHS]] : f32 // CHECK: scf.reduce.return %[[R]] : f32 // CHECK: } // CHECK: ^bb0(%[[LHS:.*]]: f32, %[[RHS:.*]]: f32): // CHECK: %[[R:.*]] = arith.mulf %[[LHS]], %[[RHS]] : f32 // CHECK: scf.reduce.return %[[R]] : f32 // CHECK: } // CHECK: return %[[RES]]#0, %[[RES]]#1 : f32, f32 // ----- func.func @fuse_reductions_three(%A: memref<2x2xf32>, %B: memref<2x2xf32>, %C: memref<2x2xf32>) -> (f32, f32, f32) { %c2 = arith.constant 2 : index %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index %init1 = arith.constant 1.0 : f32 %init2 = arith.constant 2.0 : f32 %init3 = arith.constant 3.0 : f32 %res1 = scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) init(%init1) -> f32 { %A_elem = memref.load %A[%i, %j] : memref<2x2xf32> scf.reduce(%A_elem : f32) { ^bb0(%lhs: f32, %rhs: f32): %1 = arith.addf %lhs, %rhs : f32 scf.reduce.return %1 : f32 } } %res2 = scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) init(%init2) -> f32 { %B_elem = memref.load %B[%i, %j] : memref<2x2xf32> scf.reduce(%B_elem : f32) { ^bb0(%lhs: f32, %rhs: f32): %1 = arith.mulf %lhs, %rhs : f32 scf.reduce.return %1 : f32 } } %res3 = scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) init(%init3) -> f32 { %A_elem = memref.load %C[%i, %j] : memref<2x2xf32> scf.reduce(%A_elem : f32) { ^bb0(%lhs: f32, %rhs: f32): %1 = arith.addf %lhs, %rhs : f32 scf.reduce.return %1 : f32 } } return %res1, %res2, %res3 : f32, f32, f32 } // CHECK-LABEL: func @fuse_reductions_three // CHECK-SAME: (%[[A:.*]]: memref<2x2xf32>, %[[B:.*]]: memref<2x2xf32>, %[[C:.*]]: memref<2x2xf32>) -> (f32, f32, f32) // CHECK-DAG: %[[C0:.*]] = arith.constant 0 : index // CHECK-DAG: %[[C1:.*]] = arith.constant 1 : index // CHECK-DAG: %[[C2:.*]] = arith.constant 2 : index // CHECK-DAG: %[[INIT1:.*]] = arith.constant 1.000000e+00 : f32 // CHECK-DAG: %[[INIT2:.*]] = arith.constant 2.000000e+00 : f32 // CHECK-DAG: %[[INIT3:.*]] = arith.constant 3.000000e+00 : f32 // CHECK: %[[RES:.*]]:3 = scf.parallel (%[[I:.*]], %[[J:.*]]) = (%[[C0]], %[[C0]]) // CHECK-SAME: to (%[[C2]], %[[C2]]) step (%[[C1]], %[[C1]]) // CHECK-SAME: init (%[[INIT1]], %[[INIT2]], %[[INIT3]]) -> (f32, f32, f32) // CHECK: %[[VAL_A:.*]] = memref.load %[[A]][%[[I]], %[[J]]] // CHECK: %[[VAL_B:.*]] = memref.load %[[B]][%[[I]], %[[J]]] // CHECK: %[[VAL_C:.*]] = memref.load %[[C]][%[[I]], %[[J]]] // CHECK: scf.reduce(%[[VAL_A]], %[[VAL_B]], %[[VAL_C]] : f32, f32, f32) { // CHECK: ^bb0(%[[LHS:.*]]: f32, %[[RHS:.*]]: f32): // CHECK: %[[R:.*]] = arith.addf %[[LHS]], %[[RHS]] : f32 // CHECK: scf.reduce.return %[[R]] : f32 // CHECK: } // CHECK: ^bb0(%[[LHS:.*]]: f32, %[[RHS:.*]]: f32): // CHECK: %[[R:.*]] = arith.mulf %[[LHS]], %[[RHS]] : f32 // CHECK: scf.reduce.return %[[R]] : f32 // CHECK: } // CHECK: ^bb0(%[[LHS:.*]]: f32, %[[RHS:.*]]: f32): // CHECK: %[[R:.*]] = arith.addf %[[LHS]], %[[RHS]] : f32 // CHECK: scf.reduce.return %[[R]] : f32 // CHECK: } // CHECK: return %[[RES]]#0, %[[RES]]#1, %[[RES]]#2 : f32, f32, f32 // ----- func.func @reductions_use_res(%A: memref<2x2xf32>, %B: memref<2x2xf32>) -> (f32, f32) { %c2 = arith.constant 2 : index %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index %init1 = arith.constant 1.0 : f32 %res1 = scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) init(%init1) -> f32 { %A_elem = memref.load %A[%i, %j] : memref<2x2xf32> scf.reduce(%A_elem : f32) { ^bb0(%lhs: f32, %rhs: f32): %1 = arith.addf %lhs, %rhs : f32 scf.reduce.return %1 : f32 } } %res2 = scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) init(%res1) -> f32 { %B_elem = memref.load %B[%i, %j] : memref<2x2xf32> scf.reduce(%B_elem : f32) { ^bb0(%lhs: f32, %rhs: f32): %1 = arith.mulf %lhs, %rhs : f32 scf.reduce.return %1 : f32 } } return %res1, %res2 : f32, f32 } // %res1 is used as second scf.parallel arg, cannot fuse // CHECK-LABEL: func @reductions_use_res // CHECK: scf.parallel // CHECK: scf.parallel // ----- func.func @reductions_use_res_inside(%A: memref<2x2xf32>, %B: memref<2x2xf32>) -> (f32, f32) { %c2 = arith.constant 2 : index %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index %init1 = arith.constant 1.0 : f32 %init2 = arith.constant 2.0 : f32 %res1 = scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) init(%init1) -> f32 { %A_elem = memref.load %A[%i, %j] : memref<2x2xf32> scf.reduce(%A_elem : f32) { ^bb0(%lhs: f32, %rhs: f32): %1 = arith.addf %lhs, %rhs : f32 scf.reduce.return %1 : f32 } } %res2 = scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) init(%init2) -> f32 { %B_elem = memref.load %B[%i, %j] : memref<2x2xf32> %sum = arith.addf %B_elem, %res1 : f32 scf.reduce(%sum : f32) { ^bb0(%lhs: f32, %rhs: f32): %1 = arith.mulf %lhs, %rhs : f32 scf.reduce.return %1 : f32 } } return %res1, %res2 : f32, f32 } // %res1 is used inside second scf.parallel, cannot fuse // CHECK-LABEL: func @reductions_use_res_inside // CHECK: scf.parallel // CHECK: scf.parallel // ----- func.func @reductions_use_res_between(%A: memref<2x2xf32>, %B: memref<2x2xf32>) -> (f32, f32, f32) { %c2 = arith.constant 2 : index %c0 = arith.constant 0 : index %c1 = arith.constant 1 : index %init1 = arith.constant 1.0 : f32 %init2 = arith.constant 2.0 : f32 %res1 = scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) init(%init1) -> f32 { %A_elem = memref.load %A[%i, %j] : memref<2x2xf32> scf.reduce(%A_elem : f32) { ^bb0(%lhs: f32, %rhs: f32): %1 = arith.addf %lhs, %rhs : f32 scf.reduce.return %1 : f32 } } %res3 = arith.addf %res1, %init2 : f32 %res2 = scf.parallel (%i, %j) = (%c0, %c0) to (%c2, %c2) step (%c1, %c1) init(%init2) -> f32 { %B_elem = memref.load %B[%i, %j] : memref<2x2xf32> scf.reduce(%B_elem : f32) { ^bb0(%lhs: f32, %rhs: f32): %1 = arith.mulf %lhs, %rhs : f32 scf.reduce.return %1 : f32 } } return %res1, %res2, %res3 : f32, f32, f32 } // instruction in between the loops uses the first loop result // CHECK-LABEL: func @reductions_use_res_between // CHECK: scf.parallel // CHECK: scf.parallel // ----- func.func @test_fuse_interchanged_loops(%arg0: memref<1x64xf32>) { %c8 = arith.constant 8 : index %c1 = arith.constant 1 : index %c0 = arith.constant 0 : index %alloc_0 = memref.alloc() : memref<1x8x8xf32> %alloc = memref.alloc() {alignment = 64 : i64} : memref<8x8x1xf32> scf.parallel (%arg2, %arg3) = (%c0, %c0) to (%c8, %c8) step (%c1, %c1) { %0 = memref.load %alloc_0[%c0, %arg2, %arg3] : memref<1x8x8xf32> memref.store %0, %alloc[%arg3, %arg2, %c0] : memref<8x8x1xf32> scf.reduce } scf.parallel (%arg2, %arg3) = (%c0, %c0) to (%c8, %c8) step (%c1, %c1) { %0 = memref.load %alloc[%arg2, %arg3, %c0] : memref<8x8x1xf32> %1 = affine.apply affine_map<(d0, d1) -> (d0 * 8 + d1)>(%arg2, %arg3) memref.store %0, %arg0[%c0, %1] : memref<1x64xf32> scf.reduce } return } // CHECK-LABEL: func @test_fuse_interchanged_loops // CHECK: scf.parallel // CHECK-NOT: scf.parallel