1// RUN: mlir-opt %s --sparse-reinterpret-map -sparsification | FileCheck %s --check-prefix=CHECK-HIR 2// 3// RUN: mlir-opt %s --sparse-reinterpret-map -sparsification --sparse-tensor-conversion --cse | \ 4// RUN: FileCheck %s --check-prefix=CHECK-MIR 5// 6// RUN: mlir-opt %s --sparse-reinterpret-map -sparsification --sparse-tensor-conversion --cse \ 7// RUN: --one-shot-bufferize="copy-before-write bufferize-function-boundaries function-boundary-type-conversion=identity-layout-map" | \ 8// RUN: FileCheck %s --check-prefix=CHECK-LIR 9 10#CSC = #sparse_tensor.encoding<{ 11 map = (d0, d1) -> (d1 : dense, d0 : compressed) 12}> 13 14#trait_matvec = { 15 indexing_maps = [ 16 affine_map<(i,j) -> (i,j)>, // A 17 affine_map<(i,j) -> (j)>, // b 18 affine_map<(i,j) -> (i)> // x (out) 19 ], 20 iterator_types = ["parallel","reduction"], 21 doc = "x(i) += A(i,j) * b(j)" 22} 23 24// CHECK-HIR-LABEL: func @matvec( 25// CHECK-HIR-SAME: %[[VAL_0:.*]]: tensor<32x64xf64, #sparse{{[0-9]*}}>, 26// CHECK-HIR-SAME: %[[VAL_1:.*]]: tensor<64xf64>, 27// CHECK-HIR-SAME: %[[VAL_2:.*]]: tensor<32xf64>) -> tensor<32xf64> { 28// CHECK-HIR-DAG: %[[VAL_3:.*]] = arith.constant 64 : index 29// CHECK-HIR-DAG: %[[VAL_4:.*]] = arith.constant 0 : index 30// CHECK-HIR-DAG: %[[VAL_5:.*]] = arith.constant 1 : index 31// CHECK-HIR: %[[DEMAP:.*]] = sparse_tensor.reinterpret_map %[[VAL_0]] 32// CHECK-HIR-DAG: %[[VAL_6:.*]] = sparse_tensor.positions %[[DEMAP]] {level = 1 : index} 33// CHECK-HIR-DAG: %[[VAL_7:.*]] = sparse_tensor.coordinates %[[DEMAP]] {level = 1 : index} 34// CHECK-HIR-DAG: %[[VAL_8:.*]] = sparse_tensor.values %[[DEMAP]] 35// CHECK-HIR-DAG: %[[VAL_9:.*]] = bufferization.to_memref %[[VAL_1]] : tensor<64xf64> to memref<64xf64> 36// CHECK-HIR-DAG: %[[VAL_11:.*]] = bufferization.to_memref %[[VAL_2]] : tensor<32xf64> to memref<32xf64> 37// CHECK-HIR: scf.for %[[VAL_12:.*]] = %[[VAL_4]] to %[[VAL_3]] step %[[VAL_5]] { 38// CHECK-HIR-DAG: %[[VAL_13:.*]] = memref.load %[[VAL_9]]{{\[}}%[[VAL_12]]] : memref<64xf64> 39// CHECK-HIR-DAG: %[[VAL_14:.*]] = memref.load %[[VAL_6]]{{\[}}%[[VAL_12]]] : memref<?xindex> 40// CHECK-HIR-DAG: %[[VAL_15:.*]] = arith.addi %[[VAL_12]], %[[VAL_5]] : index 41// CHECK-HIR-DAG: %[[VAL_16:.*]] = memref.load %[[VAL_6]]{{\[}}%[[VAL_15]]] : memref<?xindex> 42// CHECK-HIR: scf.for %[[VAL_17:.*]] = %[[VAL_14]] to %[[VAL_16]] step %[[VAL_5]] { 43// CHECK-HIR-DAG: %[[VAL_18:.*]] = memref.load %[[VAL_7]]{{\[}}%[[VAL_17]]] : memref<?xindex> 44// CHECK-HIR-DAG: %[[VAL_19:.*]] = memref.load %[[VAL_11]]{{\[}}%[[VAL_18]]] : memref<32xf64> 45// CHECK-HIR-DAG: %[[VAL_20:.*]] = memref.load %[[VAL_8]]{{\[}}%[[VAL_17]]] : memref<?xf64> 46// CHECK-HIR: %[[VAL_21:.*]] = arith.mulf %[[VAL_20]], %[[VAL_13]] : f64 47// CHECK-HIR: %[[VAL_22:.*]] = arith.addf %[[VAL_19]], %[[VAL_21]] : f64 48// CHECK-HIR: memref.store %[[VAL_22]], %[[VAL_11]]{{\[}}%[[VAL_18]]] : memref<32xf64> 49// CHECK-HIR: } 50// CHECK-HIR: } 51// CHECK-HIR: %[[VAL_23:.*]] = bufferization.to_tensor %[[VAL_11]] : memref<32xf64> 52// CHECK-HIR: return %[[VAL_23]] : tensor<32xf64> 53// CHECK-HIR: } 54 55// CHECK-MIR-LABEL: func @matvec( 56// CHECK-MIR-SAME: %[[VAL_0:.*]]: !llvm.ptr, 57// CHECK-MIR-SAME: %[[VAL_1:.*]]: tensor<64xf64>, 58// CHECK-MIR-SAME: %[[VAL_2:.*]]: tensor<32xf64>) -> tensor<32xf64> { 59// CHECK-MIR-DAG: %[[VAL_3:.*]] = arith.constant 64 : index 60// CHECK-MIR-DAG: %[[VAL_5:.*]] = arith.constant 0 : index 61// CHECK-MIR-DAG: %[[VAL_6:.*]] = arith.constant 1 : index 62// CHECK-MIR-DAG: %[[VAL_7:.*]] = call @sparsePositions0(%[[VAL_0]], %[[VAL_6]]) : (!llvm.ptr, index) -> memref<?xindex> 63// CHECK-MIR-DAG: %[[VAL_8:.*]] = call @sparseCoordinates0(%[[VAL_0]], %[[VAL_6]]) : (!llvm.ptr, index) -> memref<?xindex> 64// CHECK-MIR-DAG: %[[VAL_9:.*]] = call @sparseValuesF64(%[[VAL_0]]) : (!llvm.ptr) -> memref<?xf64> 65// CHECK-MIR-DAG: %[[VAL_10:.*]] = bufferization.to_memref %[[VAL_1]] : tensor<64xf64> to memref<64xf64> 66// CHECK-MIR-DAG: %[[VAL_12:.*]] = bufferization.to_memref %[[VAL_2]] : tensor<32xf64> to memref<32xf64> 67// CHECK-MIR: scf.for %[[VAL_15:.*]] = %[[VAL_5]] to %[[VAL_3]] step %[[VAL_6]] { 68// CHECK-MIR: %[[VAL_16:.*]] = memref.load %[[VAL_10]]{{\[}}%[[VAL_15]]] : memref<64xf64> 69// CHECK-MIR: %[[VAL_17:.*]] = memref.load %[[VAL_7]]{{\[}}%[[VAL_15]]] : memref<?xindex> 70// CHECK-MIR: %[[VAL_18:.*]] = arith.addi %[[VAL_15]], %[[VAL_6]] : index 71// CHECK-MIR: %[[VAL_19:.*]] = memref.load %[[VAL_7]]{{\[}}%[[VAL_18]]] : memref<?xindex> 72// CHECK-MIR: scf.for %[[VAL_20:.*]] = %[[VAL_17]] to %[[VAL_19]] step %[[VAL_6]] { 73// CHECK-MIR: %[[VAL_21:.*]] = memref.load %[[VAL_8]]{{\[}}%[[VAL_20]]] : memref<?xindex> 74// CHECK-MIR: %[[VAL_22:.*]] = memref.load %[[VAL_12]]{{\[}}%[[VAL_21]]] : memref<32xf64> 75// CHECK-MIR: %[[VAL_23:.*]] = memref.load %[[VAL_9]]{{\[}}%[[VAL_20]]] : memref<?xf64> 76// CHECK-MIR: %[[VAL_24:.*]] = arith.mulf %[[VAL_23]], %[[VAL_16]] : f64 77// CHECK-MIR: %[[VAL_25:.*]] = arith.addf %[[VAL_22]], %[[VAL_24]] : f64 78// CHECK-MIR: memref.store %[[VAL_25]], %[[VAL_12]]{{\[}}%[[VAL_21]]] : memref<32xf64> 79// CHECK-MIR: } 80// CHECK-MIR: } 81// CHECK-MIR: %[[VAL_26:.*]] = bufferization.to_tensor %[[VAL_12]] : memref<32xf64> 82// CHECK-MIR: return %[[VAL_26]] : tensor<32xf64> 83// CHECK-MIR: } 84 85// CHECK-LIR-LABEL: func @matvec( 86// CHECK-LIR-SAME: %[[VAL_0:.*]]: !llvm.ptr, 87// CHECK-LIR-SAME: %[[VAL_1:.*]]: memref<64xf64>, 88// CHECK-LIR-SAME: %[[VAL_2:.*]]: memref<32xf64>) -> memref<32xf64> { 89// CHECK-LIR-DAG: %[[VAL_3:.*]] = arith.constant 64 : index 90// CHECK-LIR-DAG: %[[VAL_5:.*]] = arith.constant 0 : index 91// CHECK-LIR-DAG: %[[VAL_6:.*]] = arith.constant 1 : index 92// CHECK-LIR-DAG: %[[VAL_7:.*]] = call @sparsePositions0(%[[VAL_0]], %[[VAL_6]]) : (!llvm.ptr, index) -> memref<?xindex> 93// CHECK-LIR-DAG: %[[VAL_8:.*]] = call @sparseCoordinates0(%[[VAL_0]], %[[VAL_6]]) : (!llvm.ptr, index) -> memref<?xindex> 94// CHECK-LIR-DAG: %[[VAL_9:.*]] = call @sparseValuesF64(%[[VAL_0]]) : (!llvm.ptr) -> memref<?xf64> 95// CHECK-LIR: scf.for %[[VAL_13:.*]] = %[[VAL_5]] to %[[VAL_3]] step %[[VAL_6]] { 96// CHECK-LIR: %[[VAL_14:.*]] = memref.load %[[VAL_1]]{{\[}}%[[VAL_13]]] : memref<64xf64> 97// CHECK-LIR: %[[VAL_15:.*]] = memref.load %[[VAL_7]]{{\[}}%[[VAL_13]]] : memref<?xindex> 98// CHECK-LIR: %[[VAL_16:.*]] = arith.addi %[[VAL_13]], %[[VAL_6]] : index 99// CHECK-LIR: %[[VAL_17:.*]] = memref.load %[[VAL_7]]{{\[}}%[[VAL_16]]] : memref<?xindex> 100// CHECK-LIR: scf.for %[[VAL_18:.*]] = %[[VAL_15]] to %[[VAL_17]] step %[[VAL_6]] { 101// CHECK-LIR: %[[VAL_19:.*]] = memref.load %[[VAL_8]]{{\[}}%[[VAL_18]]] : memref<?xindex> 102// CHECK-LIR: %[[VAL_20:.*]] = memref.load %[[VAL_2]]{{\[}}%[[VAL_19]]] : memref<32xf64> 103// CHECK-LIR: %[[VAL_21:.*]] = memref.load %[[VAL_9]]{{\[}}%[[VAL_18]]] : memref<?xf64> 104// CHECK-LIR: %[[VAL_22:.*]] = arith.mulf %[[VAL_21]], %[[VAL_14]] : f64 105// CHECK-LIR: %[[VAL_23:.*]] = arith.addf %[[VAL_20]], %[[VAL_22]] : f64 106// CHECK-LIR: memref.store %[[VAL_23]], %[[VAL_2]]{{\[}}%[[VAL_19]]] : memref<32xf64> 107// CHECK-LIR: } 108// CHECK-LIR: } 109// CHECK-LIR: return %[[VAL_2]] : memref<32xf64> 110// CHECK-LIR: } 111 112func.func @matvec(%arga: tensor<32x64xf64, #CSC>, 113 %argb: tensor<64xf64>, 114 %argx: tensor<32xf64>) -> tensor<32xf64> { 115 %0 = linalg.generic #trait_matvec 116 ins(%arga, %argb : tensor<32x64xf64, #CSC>, tensor<64xf64>) 117 outs(%argx: tensor<32xf64>) { 118 ^bb(%A: f64, %b: f64, %x: f64): 119 %0 = arith.mulf %A, %b : f64 120 %1 = arith.addf %x, %0 : f64 121 linalg.yield %1 : f64 122 } -> tensor<32xf64> 123 return %0 : tensor<32xf64> 124} 125