1// TODO: re-enable after lowering coo.next to function call (such that loop structure is more clear). 2// RUN: mlir-opt %s --sparse-reinterpret-map -sparsification --canonicalize | FileCheck %s 3 4#SortedCOO = #sparse_tensor.encoding<{ 5 map = (d0, d1) -> (d0 : compressed(nonunique), d1 : singleton) 6}> 7 8#trait_scale = { 9 indexing_maps = [ 10 affine_map<(i,j) -> (i,j)> // X (out) 11 ], 12 iterator_types = ["parallel", "parallel"], 13 doc = "X(i,j) = X(i,j) * 2.0" 14} 15 16#trait_matvec = { 17 indexing_maps = [ 18 affine_map<(i,j) -> (i,j)>, // A 19 affine_map<(i,j) -> (j)>, // b 20 affine_map<(i,j) -> (i)> // x (out) 21 ], 22 iterator_types = ["parallel","reduction"], 23 doc = "x(i) += A(i,j) * b(j)" 24} 25 26#trait_mul = { 27 indexing_maps = [ 28 affine_map<(i,j) -> (i,j)>, // X 29 affine_map<(i,j) -> (i,j)>, // Y 30 affine_map<(i,j) -> (i,j)> // Z (out) 31 ], 32 iterator_types = ["parallel", "parallel"], 33 doc = "Z(i,j) = X(i,j) * Y(i,j)" 34} 35 36// 37// Kernels that operate on SortedCOO format. 38// 39 40// CHECK-LABEL: func.func @sparse_scale( 41// C_HECK-SAME: %[[VAL_0:.*]]: tensor<?x?xf32, #sparse{{[0-9]*}}>) -> tensor<?x?xf32, #sparse{{[0-9]*}}> { 42// C_HECK-DAG: %[[VAL_1:.*]] = arith.constant false 43// C_HECK-DAG: %[[VAL_2:.*]] = arith.constant 0 : index 44// C_HECK-DAG: %[[VAL_3:.*]] = arith.constant 1 : index 45// C_HECK-DAG: %[[VAL_4:.*]] = arith.constant 2.000000e+00 : f32 46// C_HECK-DAG: %[[VAL_5:.*]] = sparse_tensor.positions %[[VAL_0]] {level = 0 : index} : tensor<?x?xf32, #sparse{{[0-9]*}}> to memref<?xindex> 47// C_HECK-DAG: %[[VAL_6:.*]] = sparse_tensor.coordinates %[[VAL_0]] {level = 0 : index} : tensor<?x?xf32, #sparse{{[0-9]*}}> to memref<?xindex, strided<[?], offset: ?>> 48// C_HECK-DAG: %[[VAL_7:.*]] = sparse_tensor.values %[[VAL_0]] : tensor<?x?xf32, #sparse{{[0-9]*}}> to memref<?xf32> 49// C_HECK-DAG: %[[VAL_8:.*]] = memref.load %[[VAL_5]]{{\[}}%[[VAL_2]]] : memref<?xindex> 50// C_HECK-DAG: %[[VAL_9:.*]] = memref.load %[[VAL_5]]{{\[}}%[[VAL_3]]] : memref<?xindex> 51// C_HECK: %[[VAL_10:.*]] = scf.while (%[[VAL_11:.*]] = %[[VAL_8]]) : (index) -> index { 52// C_HECK: %[[VAL_12:.*]] = arith.cmpi ult, %[[VAL_11]], %[[VAL_9]] : index 53// C_HECK: scf.condition(%[[VAL_12]]) %[[VAL_11]] : index 54// C_HECK: } do { 55// C_HECK: ^bb0(%[[VAL_13:.*]]: index): 56// C_HECK: %[[VAL_14:.*]] = memref.load %[[VAL_6]]{{\[}}%[[VAL_13]]] : memref<?xindex, strided<[?], offset: ?>> 57// C_HECK: %[[VAL_15:.*]] = scf.while (%[[VAL_16:.*]] = %[[VAL_13]]) : (index) -> index { 58// C_HECK: %[[VAL_17:.*]] = arith.cmpi ult, %[[VAL_16]], %[[VAL_9]] : index 59// C_HECK: %[[VAL_18:.*]] = scf.if %[[VAL_17]] -> (i1) { 60// C_HECK: %[[VAL_19:.*]] = memref.load %[[VAL_6]]{{\[}}%[[VAL_16]]] : memref<?xindex, strided<[?], offset: ?>> 61// C_HECK: %[[VAL_20:.*]] = arith.cmpi eq, %[[VAL_19]], %[[VAL_14]] : index 62// C_HECK: scf.yield %[[VAL_20]] : i1 63// C_HECK: } else { 64// C_HECK: scf.yield %[[VAL_1]] : i1 65// C_HECK: } 66// C_HECK: scf.condition(%[[VAL_21:.*]]) %[[VAL_16]] : index 67// C_HECK: } do { 68// C_HECK: ^bb0(%[[VAL_22:.*]]: index): 69// C_HECK: %[[VAL_23:.*]] = arith.addi %[[VAL_22]], %[[VAL_3]] : index 70// C_HECK: scf.yield %[[VAL_23]] : index 71// C_HECK: } 72// C_HECK: scf.for %[[VAL_24:.*]] = %[[VAL_13]] to %[[VAL_25:.*]] step %[[VAL_3]] { 73// C_HECK: %[[VAL_26:.*]] = memref.load %[[VAL_7]]{{\[}}%[[VAL_24]]] : memref<?xf32> 74// C_HECK: %[[VAL_27:.*]] = arith.mulf %[[VAL_26]], %[[VAL_4]] : f32 75// C_HECK: memref.store %[[VAL_27]], %[[VAL_7]]{{\[}}%[[VAL_24]]] : memref<?xf32> 76// C_HECK: } {"Emitted from" = "linalg.generic"} 77// C_HECK: scf.yield %[[VAL_28:.*]] : index 78// C_HECK: } attributes {"Emitted from" = "linalg.generic"} 79// C_HECK: %[[VAL_29:.*]] = sparse_tensor.load %[[VAL_0]] : tensor<?x?xf32, #sparse{{[0-9]*}}> 80// C_HECK: return %[[VAL_29]] : tensor<?x?xf32, #sparse{{[0-9]*}}> 81// C_HECK: } 82func.func @sparse_scale(%argx: tensor<?x?xf32, #SortedCOO>) -> tensor<?x?xf32, #SortedCOO> { 83 %c = arith.constant 2.0 : f32 84 %0 = linalg.generic #trait_scale 85 outs(%argx: tensor<?x?xf32, #SortedCOO>) { 86 ^bb(%x: f32): 87 %1 = arith.mulf %x, %c : f32 88 linalg.yield %1 : f32 89 } -> tensor<?x?xf32, #SortedCOO> 90 return %0 : tensor<?x?xf32, #SortedCOO> 91} 92 93// C_HECK-LABEL: func.func @matvec( 94// C_HECK-SAME: %[[VAL_0:.*]]: tensor<32x64xf64, #sparse{{[0-9]*}}>, 95// C_HECK-SAME: %[[VAL_1:.*]]: tensor<64xf64>, 96// C_HECK-SAME: %[[VAL_2:.*]]: tensor<32xf64>) -> tensor<32xf64> { 97// C_HECK-DAG: %[[VAL_3:.*]] = arith.constant false 98// C_HECK-DAG: %[[VAL_4:.*]] = arith.constant 0 : index 99// C_HECK-DAG: %[[VAL_5:.*]] = arith.constant 1 : index 100// C_HECK-DAG: %[[VAL_6:.*]] = sparse_tensor.positions %[[VAL_0]] {level = 0 : index} : tensor<32x64xf64, #sparse{{[0-9]*}}> to memref<?xindex> 101// C_HECK-DAG: %[[VAL_7:.*]] = sparse_tensor.coordinates %[[VAL_0]] {level = 0 : index} : tensor<32x64xf64, #sparse{{[0-9]*}}> to memref<?xindex, strided<[?], offset: ?>> 102// C_HECK-DAG: %[[VAL_8:.*]] = sparse_tensor.coordinates %[[VAL_0]] {level = 1 : index} : tensor<32x64xf64, #sparse{{[0-9]*}}> to memref<?xindex, strided<[?], offset: ?>> 103// C_HECK-DAG: %[[VAL_9:.*]] = sparse_tensor.values %[[VAL_0]] : tensor<32x64xf64, #sparse{{[0-9]*}}> to memref<?xf64> 104// C_HECK: %[[VAL_10:.*]] = bufferization.to_memref %[[VAL_2]] : tensor<32xf64> to memref<32xf64> 105// C_HECK: %[[VAL_11:.*]] = memref.load %[[VAL_6]]{{\[}}%[[VAL_4]]] : memref<?xindex> 106// C_HECK: %[[VAL_12:.*]] = memref.load %[[VAL_6]]{{\[}}%[[VAL_5]]] : memref<?xindex> 107// C_HECK: %[[VAL_13:.*]] = scf.while (%[[VAL_14:.*]] = %[[VAL_11]]) : (index) -> index { 108// C_HECK: %[[VAL_15:.*]] = arith.cmpi ult, %[[VAL_14]], %[[VAL_12]] : index 109// C_HECK: scf.condition(%[[VAL_15]]) %[[VAL_14]] : index 110// C_HECK: } do { 111// C_HECK: ^bb0(%[[VAL_16:.*]]: index): 112// C_HECK: %[[VAL_17:.*]] = memref.load %[[VAL_7]]{{\[}}%[[VAL_16]]] : memref<?xindex, strided<[?], offset: ?>> 113// C_HECK: %[[VAL_18:.*]] = memref.load %[[VAL_7]]{{\[}}%[[VAL_16]]] : memref<?xindex, strided<[?], offset: ?>> 114// C_HECK: %[[VAL_19:.*]] = scf.while (%[[VAL_20:.*]] = %[[VAL_16]]) : (index) -> index { 115// C_HECK: %[[VAL_21:.*]] = arith.cmpi ult, %[[VAL_20]], %[[VAL_12]] : index 116// C_HECK: %[[VAL_22:.*]] = scf.if %[[VAL_21]] -> (i1) { 117// C_HECK: %[[VAL_23:.*]] = memref.load %[[VAL_7]]{{\[}}%[[VAL_20]]] : memref<?xindex, strided<[?], offset: ?>> 118// C_HECK: %[[VAL_24:.*]] = arith.cmpi eq, %[[VAL_23]], %[[VAL_18]] : index 119// C_HECK: scf.yield %[[VAL_24]] : i1 120// C_HECK: } else { 121// C_HECK: scf.yield %[[VAL_3]] : i1 122// C_HECK: } 123// C_HECK: scf.condition(%[[VAL_25:.*]]) %[[VAL_20]] : index 124// C_HECK: } do { 125// C_HECK: ^bb0(%[[VAL_26:.*]]: index): 126// C_HECK: %[[VAL_27:.*]] = arith.addi %[[VAL_26]], %[[VAL_5]] : index 127// C_HECK: scf.yield %[[VAL_27]] : index 128// C_HECK: } 129// C_HECK: %[[VAL_28:.*]] = tensor.extract %[[VAL_2]]{{\[}}%[[VAL_17]]] : tensor<32xf64> 130// C_HECK: %[[VAL_29:.*]] = scf.for %[[VAL_30:.*]] = %[[VAL_16]] to %[[VAL_31:.*]] step %[[VAL_5]] iter_args(%[[VAL_32:.*]] = %[[VAL_28]]) -> (f64) { 131// C_HECK: %[[VAL_33:.*]] = memref.load %[[VAL_8]]{{\[}}%[[VAL_30]]] : memref<?xindex, strided<[?], offset: ?>> 132// C_HECK: %[[VAL_34:.*]] = memref.load %[[VAL_9]]{{\[}}%[[VAL_30]]] : memref<?xf64> 133// C_HECK: %[[VAL_35:.*]] = tensor.extract %[[VAL_1]]{{\[}}%[[VAL_33]]] : tensor<64xf64> 134// C_HECK: %[[VAL_36:.*]] = arith.mulf %[[VAL_34]], %[[VAL_35]] : f64 135// C_HECK: %[[VAL_37:.*]] = arith.addf %[[VAL_32]], %[[VAL_36]] : f64 136// C_HECK: scf.yield %[[VAL_37]] : f64 137// C_HECK: } {"Emitted from" = "linalg.generic"} 138// C_HECK: memref.store %[[VAL_38:.*]], %[[VAL_10]]{{\[}}%[[VAL_17]]] : memref<32xf64> 139// C_HECK: scf.yield %[[VAL_39:.*]] : index 140// C_HECK: } attributes {"Emitted from" = "linalg.generic"} 141// C_HECK: %[[VAL_40:.*]] = bufferization.to_tensor %[[VAL_10]] : memref<32xf64> 142// C_HECK: return %[[VAL_40]] : tensor<32xf64> 143// C_HECK: } 144func.func @matvec(%arga: tensor<32x64xf64, #SortedCOO>, 145 %argb: tensor<64xf64>, 146 %argx: tensor<32xf64>) -> tensor<32xf64> { 147 %0 = linalg.generic #trait_matvec 148 ins(%arga, %argb : tensor<32x64xf64, #SortedCOO>, tensor<64xf64>) 149 outs(%argx: tensor<32xf64>) { 150 ^bb(%A: f64, %b: f64, %x: f64): 151 %0 = arith.mulf %A, %b : f64 152 %1 = arith.addf %x, %0 : f64 153 linalg.yield %1 : f64 154 } -> tensor<32xf64> 155 return %0 : tensor<32xf64> 156} 157 158// C_HECK-LABEL: func.func @mateltmul( 159// C_HECK-SAME: %[[VAL_0:.*0]]: tensor<32x64xf64, #sparse{{[0-9]*}}>, %[[VAL_1:.*1]]: tensor<32x64xf64, #sparse{{[0-9]*}}>, 160// C_HECK-SAME: %[[VAL_2:.*2]]: tensor<32x64xf64>) -> tensor<32x64xf64> { 161// C_HECK-DAG: %[[VAL_3:.*]] = arith.constant false 162// C_HECK-DAG: %[[VAL_4:.*]] = arith.constant 0.000000e+00 : f64 163// C_HECK-DAG: %[[VAL_5:.*]] = arith.constant 0 : index 164// C_HECK-DAG: %[[VAL_6:.*]] = arith.constant 1 : index 165// C_HECK-DAG: %[[VAL_7:.*]] = sparse_tensor.positions %[[VAL_0]] {level = 0 : index} : tensor<32x64xf64, #sparse{{[0-9]*}}> to memref<?xindex> 166// C_HECK-DAG: %[[VAL_8:.*]] = sparse_tensor.coordinates %[[VAL_0]] {level = 0 : index} : tensor<32x64xf64, #sparse{{[0-9]*}}> to memref<?xindex, strided<[?], offset: ?>> 167// C_HECK-DAG: %[[VAL_9:.*]] = sparse_tensor.coordinates %[[VAL_0]] {level = 1 : index} : tensor<32x64xf64, #sparse{{[0-9]*}}> to memref<?xindex, strided<[?], offset: ?>> 168// C_HECK-DAG: %[[VAL_10:.*]] = sparse_tensor.values %[[VAL_0]] : tensor<32x64xf64, #sparse{{[0-9]*}}> to memref<?xf64> 169// C_HECK-DAG: %[[VAL_11:.*]] = sparse_tensor.positions %[[VAL_1]] {level = 0 : index} : tensor<32x64xf64, #sparse{{[0-9]*}}> to memref<?xindex> 170// C_HECK-DAG: %[[VAL_12:.*]] = sparse_tensor.coordinates %[[VAL_1]] {level = 0 : index} : tensor<32x64xf64, #sparse{{[0-9]*}}> to memref<?xindex, strided<[?], offset: ?>> 171// C_HECK-DAG: %[[VAL_13:.*]] = sparse_tensor.coordinates %[[VAL_1]] {level = 1 : index} : tensor<32x64xf64, #sparse{{[0-9]*}}> to memref<?xindex, strided<[?], offset: ?>> 172// C_HECK-DAG: %[[VAL_14:.*]] = sparse_tensor.values %[[VAL_1]] : tensor<32x64xf64, #sparse{{[0-9]*}}> to memref<?xf64> 173// C_HECK: %[[VAL_15:.*]] = bufferization.to_memref %[[VAL_2]] : tensor<32x64xf64> to memref<32x64xf64> 174// C_HECK: linalg.fill ins(%[[VAL_4]] : f64) outs(%[[VAL_15]] : memref<32x64xf64>) 175// C_HECK: %[[VAL_16:.*]] = memref.load %[[VAL_7]]{{\[}}%[[VAL_5]]] : memref<?xindex> 176// C_HECK: %[[VAL_17:.*]] = memref.load %[[VAL_7]]{{\[}}%[[VAL_6]]] : memref<?xindex> 177// C_HECK: %[[VAL_18:.*]] = memref.load %[[VAL_11]]{{\[}}%[[VAL_5]]] : memref<?xindex> 178// C_HECK: %[[VAL_19:.*]] = memref.load %[[VAL_11]]{{\[}}%[[VAL_6]]] : memref<?xindex> 179// C_HECK: %[[VAL_20:.*]]:2 = scf.while (%[[VAL_21:.*]] = %[[VAL_16]], %[[VAL_22:.*]] = %[[VAL_18]]) : (index, index) -> (index, index) { 180// C_HECK: %[[VAL_23:.*]] = arith.cmpi ult, %[[VAL_21]], %[[VAL_17]] : index 181// C_HECK: %[[VAL_24:.*]] = arith.cmpi ult, %[[VAL_22]], %[[VAL_19]] : index 182// C_HECK: %[[VAL_25:.*]] = arith.andi %[[VAL_23]], %[[VAL_24]] : i1 183// C_HECK: scf.condition(%[[VAL_25]]) %[[VAL_21]], %[[VAL_22]] : index, index 184// C_HECK: } do { 185// C_HECK: ^bb0(%[[VAL_26:.*]]: index, %[[VAL_27:.*]]: index): 186// C_HECK: %[[VAL_28:.*]] = memref.load %[[VAL_8]]{{\[}}%[[VAL_26]]] : memref<?xindex, strided<[?], offset: ?>> 187// C_HECK: %[[VAL_29:.*]] = memref.load %[[VAL_12]]{{\[}}%[[VAL_27]]] : memref<?xindex, strided<[?], offset: ?>> 188// C_HECK: %[[VAL_32:.*]] = memref.load %[[VAL_8]]{{\[}}%[[VAL_26]]] : memref<?xindex, strided<[?], offset: ?>> 189// C_HECK: %[[VAL_33:.*]] = scf.while (%[[VAL_34:.*]] = %[[VAL_26]]) : (index) -> index { 190// C_HECK: %[[VAL_35:.*]] = arith.cmpi ult, %[[VAL_34]], %[[VAL_17]] : index 191// C_HECK: %[[VAL_36:.*]] = scf.if %[[VAL_35]] -> (i1) { 192// C_HECK: %[[VAL_37:.*]] = memref.load %[[VAL_8]]{{\[}}%[[VAL_34]]] : memref<?xindex, strided<[?], offset: ?>> 193// C_HECK: %[[VAL_38:.*]] = arith.cmpi eq, %[[VAL_37]], %[[VAL_32]] : index 194// C_HECK: scf.yield %[[VAL_38]] : i1 195// C_HECK: } else { 196// C_HECK: scf.yield %[[VAL_3]] : i1 197// C_HECK: } 198// C_HECK: scf.condition(%[[VAL_39:.*]]) %[[VAL_34]] : index 199// C_HECK: } do { 200// C_HECK: ^bb0(%[[VAL_40:.*]]: index): 201// C_HECK: %[[VAL_41:.*]] = arith.addi %[[VAL_40]], %[[VAL_6]] : index 202// C_HECK: scf.yield %[[VAL_41]] : index 203// C_HECK: } 204// C_HECK: %[[VAL_42:.*]] = memref.load %[[VAL_12]]{{\[}}%[[VAL_27]]] : memref<?xindex, strided<[?], offset: ?>> 205// C_HECK: %[[VAL_43:.*]] = scf.while (%[[VAL_44:.*]] = %[[VAL_27]]) : (index) -> index { 206// C_HECK: %[[VAL_45:.*]] = arith.cmpi ult, %[[VAL_44]], %[[VAL_19]] : index 207// C_HECK: %[[VAL_46:.*]] = scf.if %[[VAL_45]] -> (i1) { 208// C_HECK: %[[VAL_47:.*]] = memref.load %[[VAL_12]]{{\[}}%[[VAL_44]]] : memref<?xindex, strided<[?], offset: ?>> 209// C_HECK: %[[VAL_48:.*]] = arith.cmpi eq, %[[VAL_47]], %[[VAL_42]] : index 210// C_HECK: scf.yield %[[VAL_48]] : i1 211// C_HECK: } else { 212// C_HECK: scf.yield %[[VAL_3]] : i1 213// C_HECK: } 214// C_HECK: scf.condition(%[[VAL_49:.*]]) %[[VAL_44]] : index 215// C_HECK: } do { 216// C_HECK: ^bb0(%[[VAL_50:.*]]: index): 217// C_HECK: %[[VAL_51:.*]] = arith.addi %[[VAL_50]], %[[VAL_6]] : index 218// C_HECK: scf.yield %[[VAL_51]] : index 219// C_HECK: } 220// C_HECK: %[[VAL_30:.*]] = arith.cmpi ult, %[[VAL_29]], %[[VAL_28]] : index 221// C_HECK: %[[VAL_31:.*]] = arith.select %[[VAL_30]], %[[VAL_29]], %[[VAL_28]] : index 222// C_HECK: %[[VAL_52:.*]] = arith.cmpi eq, %[[VAL_28]], %[[VAL_31]] : index 223// C_HECK: %[[VAL_53:.*]] = arith.cmpi eq, %[[VAL_29]], %[[VAL_31]] : index 224// C_HECK: %[[VAL_54:.*]] = arith.andi %[[VAL_52]], %[[VAL_53]] : i1 225// C_HECK: scf.if %[[VAL_54]] { 226// C_HECK: %[[VAL_55:.*]]:2 = scf.while (%[[VAL_56:.*]] = %[[VAL_26]], %[[VAL_57:.*]] = %[[VAL_27]]) : (index, index) -> (index, index) { 227// C_HECK: %[[VAL_58:.*]] = arith.cmpi ult, %[[VAL_56]], %[[VAL_59:.*]] : index 228// C_HECK: %[[VAL_60:.*]] = arith.cmpi ult, %[[VAL_57]], %[[VAL_61:.*]] : index 229// C_HECK: %[[VAL_62:.*]] = arith.andi %[[VAL_58]], %[[VAL_60]] : i1 230// C_HECK: scf.condition(%[[VAL_62]]) %[[VAL_56]], %[[VAL_57]] : index, index 231// C_HECK: } do { 232// C_HECK: ^bb0(%[[VAL_63:.*]]: index, %[[VAL_64:.*]]: index): 233// C_HECK: %[[VAL_65:.*]] = memref.load %[[VAL_9]]{{\[}}%[[VAL_63]]] : memref<?xindex, strided<[?], offset: ?>> 234// C_HECK: %[[VAL_66:.*]] = memref.load %[[VAL_13]]{{\[}}%[[VAL_64]]] : memref<?xindex, strided<[?], offset: ?>> 235// C_HECK: %[[VAL_67:.*]] = arith.cmpi ult, %[[VAL_66]], %[[VAL_65]] : index 236// C_HECK: %[[VAL_68:.*]] = arith.select %[[VAL_67]], %[[VAL_66]], %[[VAL_65]] : index 237// C_HECK: %[[VAL_69:.*]] = arith.cmpi eq, %[[VAL_65]], %[[VAL_68]] : index 238// C_HECK: %[[VAL_70:.*]] = arith.cmpi eq, %[[VAL_66]], %[[VAL_68]] : index 239// C_HECK: %[[VAL_71:.*]] = arith.andi %[[VAL_69]], %[[VAL_70]] : i1 240// C_HECK: scf.if %[[VAL_71]] { 241// C_HECK: %[[VAL_72:.*]] = memref.load %[[VAL_10]]{{\[}}%[[VAL_63]]] : memref<?xf64> 242// C_HECK: %[[VAL_73:.*]] = memref.load %[[VAL_14]]{{\[}}%[[VAL_64]]] : memref<?xf64> 243// C_HECK: %[[VAL_74:.*]] = arith.mulf %[[VAL_72]], %[[VAL_73]] : f64 244// C_HECK: memref.store %[[VAL_74]], %[[VAL_15]]{{\[}}%[[VAL_31]], %[[VAL_68]]] : memref<32x64xf64> 245// C_HECK: } 246// C_HECK: %[[VAL_75:.*]] = arith.cmpi eq, %[[VAL_65]], %[[VAL_68]] : index 247// C_HECK: %[[VAL_76:.*]] = arith.addi %[[VAL_63]], %[[VAL_6]] : index 248// C_HECK: %[[VAL_77:.*]] = arith.select %[[VAL_75]], %[[VAL_76]], %[[VAL_63]] : index 249// C_HECK: %[[VAL_78:.*]] = arith.cmpi eq, %[[VAL_66]], %[[VAL_68]] : index 250// C_HECK: %[[VAL_79:.*]] = arith.addi %[[VAL_64]], %[[VAL_6]] : index 251// C_HECK: %[[VAL_80:.*]] = arith.select %[[VAL_78]], %[[VAL_79]], %[[VAL_64]] : index 252// C_HECK: scf.yield %[[VAL_77]], %[[VAL_80]] : index, index 253// C_HECK: } attributes {"Emitted from" = "linalg.generic"} 254// C_HECK: } 255// C_HECK: %[[VAL_81:.*]] = arith.cmpi eq, %[[VAL_28]], %[[VAL_31]] : index 256// C_HECK: %[[VAL_82:.*]] = arith.select %[[VAL_81]], %[[VAL_83:.*]], %[[VAL_26]] : index 257// C_HECK: %[[VAL_84:.*]] = arith.cmpi eq, %[[VAL_29]], %[[VAL_31]] : index 258// C_HECK: %[[VAL_85:.*]] = arith.select %[[VAL_84]], %[[VAL_86:.*]], %[[VAL_27]] : index 259// C_HECK: scf.yield %[[VAL_82]], %[[VAL_85]] : index, index 260// C_HECK: } attributes {"Emitted from" = "linalg.generic"} 261// C_HECK: %[[VAL_87:.*]] = bufferization.to_tensor %[[VAL_15]] : memref<32x64xf64> 262// C_HECK: return %[[VAL_87]] : tensor<32x64xf64> 263// C_HECK: } 264func.func @mateltmul(%argx: tensor<32x64xf64, #SortedCOO>, 265 %argy: tensor<32x64xf64, #SortedCOO>, 266 %argz: tensor<32x64xf64>) -> tensor<32x64xf64> { 267 %0 = linalg.generic #trait_mul 268 ins(%argx, %argy : tensor<32x64xf64, #SortedCOO>, tensor<32x64xf64, #SortedCOO>) 269 outs(%argz: tensor<32x64xf64>) { 270 ^bb(%x: f64, %y: f64, %z: f64): 271 %1 = arith.mulf %x, %y : f64 272 linalg.yield %1 : f64 273 } -> tensor<32x64xf64> 274 return %0 : tensor<32x64xf64> 275} 276