276 lines · plain
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 %s3 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)>, // A19 affine_map<(i,j) -> (j)>, // b20 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)>, // X29 affine_map<(i,j) -> (i,j)>, // Y30 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 false43// C_HECK-DAG: %[[VAL_2:.*]] = arith.constant 0 : index44// C_HECK-DAG: %[[VAL_3:.*]] = arith.constant 1 : index45// C_HECK-DAG: %[[VAL_4:.*]] = arith.constant 2.000000e+00 : f3246// 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]] : index53// C_HECK: scf.condition(%[[VAL_12]]) %[[VAL_11]] : index54// 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]] : index59// 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]] : index62// C_HECK: scf.yield %[[VAL_20]] : i163// C_HECK: } else {64// C_HECK: scf.yield %[[VAL_1]] : i165// C_HECK: }66// C_HECK: scf.condition(%[[VAL_21:.*]]) %[[VAL_16]] : index67// C_HECK: } do {68// C_HECK: ^bb0(%[[VAL_22:.*]]: index):69// C_HECK: %[[VAL_23:.*]] = arith.addi %[[VAL_22]], %[[VAL_3]] : index70// C_HECK: scf.yield %[[VAL_23]] : index71// 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]] : f3275// 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:.*]] : index78// 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 : f3284 %0 = linalg.generic #trait_scale85 outs(%argx: tensor<?x?xf32, #SortedCOO>) {86 ^bb(%x: f32):87 %1 = arith.mulf %x, %c : f3288 linalg.yield %1 : f3289 } -> 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 false98// C_HECK-DAG: %[[VAL_4:.*]] = arith.constant 0 : index99// C_HECK-DAG: %[[VAL_5:.*]] = arith.constant 1 : index100// 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_buffer %[[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]] : index109// C_HECK: scf.condition(%[[VAL_15]]) %[[VAL_14]] : index110// 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]] : index116// 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]] : index119// C_HECK: scf.yield %[[VAL_24]] : i1120// C_HECK: } else {121// C_HECK: scf.yield %[[VAL_3]] : i1122// C_HECK: }123// C_HECK: scf.condition(%[[VAL_25:.*]]) %[[VAL_20]] : index124// C_HECK: } do {125// C_HECK: ^bb0(%[[VAL_26:.*]]: index):126// C_HECK: %[[VAL_27:.*]] = arith.addi %[[VAL_26]], %[[VAL_5]] : index127// C_HECK: scf.yield %[[VAL_27]] : index128// 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]] : f64135// C_HECK: %[[VAL_37:.*]] = arith.addf %[[VAL_32]], %[[VAL_36]] : f64136// C_HECK: scf.yield %[[VAL_37]] : f64137// 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:.*]] : index140// 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_matvec148 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 : f64152 %1 = arith.addf %x, %0 : f64153 linalg.yield %1 : f64154 } -> 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 false162// C_HECK-DAG: %[[VAL_4:.*]] = arith.constant 0.000000e+00 : f64163// C_HECK-DAG: %[[VAL_5:.*]] = arith.constant 0 : index164// C_HECK-DAG: %[[VAL_6:.*]] = arith.constant 1 : index165// 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_buffer %[[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]] : index181// C_HECK: %[[VAL_24:.*]] = arith.cmpi ult, %[[VAL_22]], %[[VAL_19]] : index182// C_HECK: %[[VAL_25:.*]] = arith.andi %[[VAL_23]], %[[VAL_24]] : i1183// C_HECK: scf.condition(%[[VAL_25]]) %[[VAL_21]], %[[VAL_22]] : index, index184// 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]] : index191// 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]] : index194// C_HECK: scf.yield %[[VAL_38]] : i1195// C_HECK: } else {196// C_HECK: scf.yield %[[VAL_3]] : i1197// C_HECK: }198// C_HECK: scf.condition(%[[VAL_39:.*]]) %[[VAL_34]] : index199// C_HECK: } do {200// C_HECK: ^bb0(%[[VAL_40:.*]]: index):201// C_HECK: %[[VAL_41:.*]] = arith.addi %[[VAL_40]], %[[VAL_6]] : index202// C_HECK: scf.yield %[[VAL_41]] : index203// 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]] : index207// 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]] : index210// C_HECK: scf.yield %[[VAL_48]] : i1211// C_HECK: } else {212// C_HECK: scf.yield %[[VAL_3]] : i1213// C_HECK: }214// C_HECK: scf.condition(%[[VAL_49:.*]]) %[[VAL_44]] : index215// C_HECK: } do {216// C_HECK: ^bb0(%[[VAL_50:.*]]: index):217// C_HECK: %[[VAL_51:.*]] = arith.addi %[[VAL_50]], %[[VAL_6]] : index218// C_HECK: scf.yield %[[VAL_51]] : index219// C_HECK: }220// C_HECK: %[[VAL_30:.*]] = arith.cmpi ult, %[[VAL_29]], %[[VAL_28]] : index221// C_HECK: %[[VAL_31:.*]] = arith.select %[[VAL_30]], %[[VAL_29]], %[[VAL_28]] : index222// C_HECK: %[[VAL_52:.*]] = arith.cmpi eq, %[[VAL_28]], %[[VAL_31]] : index223// C_HECK: %[[VAL_53:.*]] = arith.cmpi eq, %[[VAL_29]], %[[VAL_31]] : index224// C_HECK: %[[VAL_54:.*]] = arith.andi %[[VAL_52]], %[[VAL_53]] : i1225// 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:.*]] : index228// C_HECK: %[[VAL_60:.*]] = arith.cmpi ult, %[[VAL_57]], %[[VAL_61:.*]] : index229// C_HECK: %[[VAL_62:.*]] = arith.andi %[[VAL_58]], %[[VAL_60]] : i1230// C_HECK: scf.condition(%[[VAL_62]]) %[[VAL_56]], %[[VAL_57]] : index, index231// 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]] : index236// C_HECK: %[[VAL_68:.*]] = arith.select %[[VAL_67]], %[[VAL_66]], %[[VAL_65]] : index237// C_HECK: %[[VAL_69:.*]] = arith.cmpi eq, %[[VAL_65]], %[[VAL_68]] : index238// C_HECK: %[[VAL_70:.*]] = arith.cmpi eq, %[[VAL_66]], %[[VAL_68]] : index239// C_HECK: %[[VAL_71:.*]] = arith.andi %[[VAL_69]], %[[VAL_70]] : i1240// 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]] : f64244// 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]] : index247// C_HECK: %[[VAL_76:.*]] = arith.addi %[[VAL_63]], %[[VAL_6]] : index248// C_HECK: %[[VAL_77:.*]] = arith.select %[[VAL_75]], %[[VAL_76]], %[[VAL_63]] : index249// C_HECK: %[[VAL_78:.*]] = arith.cmpi eq, %[[VAL_66]], %[[VAL_68]] : index250// C_HECK: %[[VAL_79:.*]] = arith.addi %[[VAL_64]], %[[VAL_6]] : index251// C_HECK: %[[VAL_80:.*]] = arith.select %[[VAL_78]], %[[VAL_79]], %[[VAL_64]] : index252// C_HECK: scf.yield %[[VAL_77]], %[[VAL_80]] : index, index253// C_HECK: } attributes {"Emitted from" = "linalg.generic"}254// C_HECK: }255// C_HECK: %[[VAL_81:.*]] = arith.cmpi eq, %[[VAL_28]], %[[VAL_31]] : index256// C_HECK: %[[VAL_82:.*]] = arith.select %[[VAL_81]], %[[VAL_83:.*]], %[[VAL_26]] : index257// C_HECK: %[[VAL_84:.*]] = arith.cmpi eq, %[[VAL_29]], %[[VAL_31]] : index258// C_HECK: %[[VAL_85:.*]] = arith.select %[[VAL_84]], %[[VAL_86:.*]], %[[VAL_27]] : index259// C_HECK: scf.yield %[[VAL_82]], %[[VAL_85]] : index, index260// 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_mul268 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 : f64272 linalg.yield %1 : f64273 } -> tensor<32x64xf64>274 return %0 : tensor<32x64xf64>275}276