307 lines · plain
1// RUN: mlir-opt %s --transform-interpreter | FileCheck %s2 3func.func @vector_multi_reduction(%arg0: vector<2x4xf32>, %acc: vector<2xf32>) -> vector<2xf32> {4 %0 = vector.multi_reduction <mul>, %arg0, %acc [1] : vector<2x4xf32> to vector<2xf32>5 return %0 : vector<2xf32>6}7// CHECK-LABEL: func @vector_multi_reduction8// CHECK-SAME: %[[INPUT:.+]]: vector<2x4xf32>, %[[ACC:.*]]: vector<2xf32>)9// CHECK-DAG: %[[RESULT_VEC_0:.+]] = arith.constant dense<{{.*}}> : vector<2xf32>10// CHECK: %[[V0:.+]] = vector.extract %[[INPUT]][0]11// CHECK: %[[ACC0:.+]] = vector.extract %[[ACC]][0]12// CHECK: %[[RV0:.+]] = vector.reduction <mul>, %[[V0]], %[[ACC0]] : vector<4xf32> into f3213// CHECK: %[[RESULT_VEC_1:.+]] = vector.insert %[[RV0:.+]], %[[RESULT_VEC_0]] [0] : f32 into vector<2xf32>14// CHECK: %[[V1:.+]] = vector.extract %[[INPUT]][1]15// CHECK: %[[ACC1:.+]] = vector.extract %[[ACC]][1]16// CHECK: %[[RV1:.+]] = vector.reduction <mul>, %[[V1]], %[[ACC1]] : vector<4xf32> into f3217// CHECK: %[[RESULT_VEC:.+]] = vector.insert %[[RV1:.+]], %[[RESULT_VEC_1]] [1] : f32 into vector<2xf32>18// CHECK: return %[[RESULT_VEC]]19 20func.func @vector_multi_reduction_to_scalar(%arg0: vector<2x4xf32>, %acc: f32) -> f32 {21 %0 = vector.multi_reduction <mul>, %arg0, %acc [0, 1] : vector<2x4xf32> to f3222 return %0 : f3223}24// CHECK-LABEL: func @vector_multi_reduction_to_scalar25// CHECK-SAME: %[[INPUT:.+]]: vector<2x4xf32>, %[[ACC:.*]]: f32)26// CHECK: %[[CASTED:.*]] = vector.shape_cast %[[INPUT]] : vector<2x4xf32> to vector<8xf32>27// CHECK: %[[REDUCED:.*]] = vector.reduction <mul>, %[[CASTED]], %[[ACC]] : vector<8xf32> into f3228// CHECK: return %[[REDUCED]]29 30func.func @vector_reduction_inner(%arg0: vector<2x3x4x5xi32>, %acc: vector<2x3xi32>) -> vector<2x3xi32> {31 %0 = vector.multi_reduction <add>, %arg0, %acc [2, 3] : vector<2x3x4x5xi32> to vector<2x3xi32>32 return %0 : vector<2x3xi32>33}34// CHECK-LABEL: func @vector_reduction_inner35// CHECK-SAME: %[[INPUT:.+]]: vector<2x3x4x5xi32>, %[[ACC:.*]]: vector<2x3xi32>36// CHECK-DAG: %[[FLAT_RESULT_VEC_0:.+]] = arith.constant dense<0> : vector<6xi32>37// CHECK: %[[RESHAPED_INPUT:.+]] = vector.shape_cast %[[INPUT]] : vector<2x3x4x5xi32> to vector<6x20xi32>38// CHECK: %[[V0:.+]] = vector.extract %[[RESHAPED_INPUT]][0] : vector<20xi32> from vector<6x20xi32>39// CHECK: %[[ACC0:.+]] = vector.extract %[[ACC]][0, 0] : i32 from vector<2x3xi32>40// CHECK: %[[V0R:.+]] = vector.reduction <add>, %[[V0]], %[[ACC0]] : vector<20xi32> into i3241// CHECK: %[[FLAT_RESULT_VEC_1:.+]] = vector.insert %[[V0R]], %[[FLAT_RESULT_VEC_0]] [0] : i32 into vector<6xi32>42// CHECK: %[[V1:.+]] = vector.extract %[[RESHAPED_INPUT]][1] : vector<20xi32> from vector<6x20xi32>43// CHECK: %[[ACC1:.+]] = vector.extract %[[ACC]][0, 1] : i32 from vector<2x3xi32>44// CHECK: %[[V1R:.+]] = vector.reduction <add>, %[[V1]], %[[ACC1]] : vector<20xi32> into i3245// CHECK: %[[FLAT_RESULT_VEC_2:.+]] = vector.insert %[[V1R]], %[[FLAT_RESULT_VEC_1]] [1] : i32 into vector<6xi32>46// CHECK: %[[V2:.+]] = vector.extract %[[RESHAPED_INPUT]][2] : vector<20xi32> from vector<6x20xi32>47// CHECK: %[[ACC2:.+]] = vector.extract %[[ACC]][0, 2] : i32 from vector<2x3xi32>48// CHECK: %[[V2R:.+]] = vector.reduction <add>, %[[V2]], %[[ACC2]] : vector<20xi32> into i3249// CHECK: %[[FLAT_RESULT_VEC_3:.+]] = vector.insert %[[V2R]], %[[FLAT_RESULT_VEC_2]] [2] : i32 into vector<6xi32>50// CHECK: %[[V3:.+]] = vector.extract %[[RESHAPED_INPUT]][3] : vector<20xi32> from vector<6x20xi32>51// CHECK: %[[ACC3:.+]] = vector.extract %[[ACC]][1, 0] : i32 from vector<2x3xi32>52// CHECK: %[[V3R:.+]] = vector.reduction <add>, %[[V3]], %[[ACC3]] : vector<20xi32> into i3253// CHECK: %[[FLAT_RESULT_VEC_4:.+]] = vector.insert %[[V3R]], %[[FLAT_RESULT_VEC_3]] [3] : i32 into vector<6xi32>54// CHECK: %[[V4:.+]] = vector.extract %[[RESHAPED_INPUT]][4] : vector<20xi32> from vector<6x20xi32>55// CHECK: %[[ACC4:.+]] = vector.extract %[[ACC]][1, 1] : i32 from vector<2x3xi32>56// CHECK: %[[V4R:.+]] = vector.reduction <add>, %[[V4]], %[[ACC4]] : vector<20xi32> into i3257// CHECK: %[[FLAT_RESULT_VEC_5:.+]] = vector.insert %[[V4R]], %[[FLAT_RESULT_VEC_4]] [4] : i32 into vector<6xi32>58// CHECK: %[[V5:.+]] = vector.extract %[[RESHAPED_INPUT]][5] : vector<20xi32> from vector<6x20xi32>59// CHECK: %[[ACC5:.+]] = vector.extract %[[ACC]][1, 2] : i32 from vector<2x3xi32>60// CHECK: %[[V5R:.+]] = vector.reduction <add>, %[[V5]], %[[ACC5]] : vector<20xi32> into i3261// CHECK: %[[FLAT_RESULT_VEC:.+]] = vector.insert %[[V5R]], %[[FLAT_RESULT_VEC_5]] [5] : i32 into vector<6xi32>62// CHECK: %[[RESULT:.+]] = vector.shape_cast %[[FLAT_RESULT_VEC]] : vector<6xi32> to vector<2x3xi32>63// CHECK: return %[[RESULT]]64 65func.func @vector_multi_reduction_transposed(%arg0: vector<2x3x4x5xf32>, %acc: vector<2x5xf32>) -> vector<2x5xf32> {66 %0 = vector.multi_reduction <add>, %arg0, %acc [1, 2] : vector<2x3x4x5xf32> to vector<2x5xf32>67 return %0 : vector<2x5xf32>68}69 70// CHECK-LABEL: func @vector_multi_reduction_transposed71// CHECK-SAME: %[[INPUT:.+]]: vector<2x3x4x5xf32>72// CHECK: %[[TRANSPOSED_INPUT:.+]] = vector.transpose %[[INPUT]], [0, 3, 1, 2] : vector<2x3x4x5xf32> to vector<2x5x3x4xf32>73// CHECK: vector.shape_cast %[[TRANSPOSED_INPUT]] : vector<2x5x3x4xf32> to vector<10x12xf32>74// CHECK: %[[RESULT:.+]] = vector.shape_cast %{{.*}} : vector<10xf32> to vector<2x5xf32>75// CHECK: return %[[RESULT]]76 77func.func @vector_multi_reduction_ordering(%arg0: vector<3x2x4xf32>, %acc: vector<2x4xf32>) -> vector<2x4xf32> {78 %0 = vector.multi_reduction <mul>, %arg0, %acc [0] : vector<3x2x4xf32> to vector<2x4xf32>79 return %0 : vector<2x4xf32>80}81// CHECK-LABEL: func @vector_multi_reduction_ordering82// CHECK-SAME: %[[INPUT:.+]]: vector<3x2x4xf32>, %[[ACC:.*]]: vector<2x4xf32>)83// CHECK-DAG: %[[RESULT_VEC_0:.+]] = arith.constant dense<{{.*}}> : vector<8xf32>84// CHECK: %[[TRANSPOSED_INPUT:.+]] = vector.transpose %[[INPUT]], [1, 2, 0] : vector<3x2x4xf32> to vector<2x4x3xf32>85// CHECK: %[[V0:.+]] = vector.extract %[[TRANSPOSED_INPUT]][0, 0]86// CHECK: %[[ACC0:.+]] = vector.extract %[[ACC]][0, 0] : f32 from vector<2x4xf32>87// CHECK: %[[RV0:.+]] = vector.reduction <mul>, %[[V0]], %[[ACC0]] : vector<3xf32> into f3288// CHECK: %[[RESULT_VEC_1:.+]] = vector.insert %[[RV0:.+]], %[[RESULT_VEC_0]] [0] : f32 into vector<8xf32>89// CHECK: %[[V1:.+]] = vector.extract %[[TRANSPOSED_INPUT]][0, 1]90// CHECK: %[[ACC1:.+]] = vector.extract %[[ACC]][0, 1] : f32 from vector<2x4xf32>91// CHECK: %[[RV1:.+]] = vector.reduction <mul>, %[[V1]], %[[ACC1]] : vector<3xf32> into f3292// CHECK: %[[RESULT_VEC_2:.+]] = vector.insert %[[RV1:.+]], %[[RESULT_VEC_1]] [1] : f32 into vector<8xf32>93// CHECK: %[[V2:.+]] = vector.extract %[[TRANSPOSED_INPUT]][0, 2]94// CHECK: %[[ACC2:.+]] = vector.extract %[[ACC]][0, 2] : f32 from vector<2x4xf32>95// CHECK: %[[RV2:.+]] = vector.reduction <mul>, %[[V2]], %[[ACC2]] : vector<3xf32> into f3296// CHECK: %[[RESULT_VEC_3:.+]] = vector.insert %[[RV2:.+]], %[[RESULT_VEC_2]] [2] : f32 into vector<8xf32>97// CHECK: %[[V3:.+]] = vector.extract %[[TRANSPOSED_INPUT]][0, 3]98// CHECK: %[[ACC3:.+]] = vector.extract %[[ACC]][0, 3] : f32 from vector<2x4xf32>99// CHECK: %[[RV3:.+]] = vector.reduction <mul>, %[[V3]], %[[ACC3]] : vector<3xf32> into f32100// CHECK: %[[RESULT_VEC_4:.+]] = vector.insert %[[RV3:.+]], %[[RESULT_VEC_3]] [3] : f32 into vector<8xf32>101// CHECK: %[[V4:.+]] = vector.extract %[[TRANSPOSED_INPUT]][1, 0]102// CHECK: %[[ACC4:.+]] = vector.extract %[[ACC]][1, 0] : f32 from vector<2x4xf32>103// CHECK: %[[RV4:.+]] = vector.reduction <mul>, %[[V4]], %[[ACC4]] : vector<3xf32> into f32104// CHECK: %[[RESULT_VEC_5:.+]] = vector.insert %[[RV4:.+]], %[[RESULT_VEC_4]] [4] : f32 into vector<8xf32>105// CHECK: %[[V5:.+]] = vector.extract %[[TRANSPOSED_INPUT]][1, 1]106// CHECK: %[[ACC5:.+]] = vector.extract %[[ACC]][1, 1] : f32 from vector<2x4xf32>107// CHECK: %[[RV5:.+]] = vector.reduction <mul>, %[[V5]], %[[ACC5]] : vector<3xf32> into f32108// CHECK: %[[RESULT_VEC_6:.+]] = vector.insert %[[RV5:.+]], %[[RESULT_VEC_5]] [5] : f32 into vector<8xf32>109// CHECK: %[[V6:.+]] = vector.extract %[[TRANSPOSED_INPUT]][1, 2]110// CHECK: %[[ACC6:.+]] = vector.extract %[[ACC]][1, 2] : f32 from vector<2x4xf32>111// CHECK: %[[RV6:.+]] = vector.reduction <mul>, %[[V6]], %[[ACC6]] : vector<3xf32> into f32112// CHECK: %[[RESULT_VEC_7:.+]] = vector.insert %[[RV6:.+]], %[[RESULT_VEC_6]] [6] : f32 into vector<8xf32>113// CHECK: %[[V7:.+]] = vector.extract %[[TRANSPOSED_INPUT]][1, 3]114// CHECK: %[[ACC7:.+]] = vector.extract %[[ACC]][1, 3] : f32 from vector<2x4xf32>115// CHECK: %[[RV7:.+]] = vector.reduction <mul>, %[[V7]], %[[ACC7]] : vector<3xf32> into f32116// CHECK: %[[RESULT_VEC:.+]] = vector.insert %[[RV7:.+]], %[[RESULT_VEC_7]] [7] : f32 into vector<8xf32>117// CHECK: %[[RESHAPED_VEC:.+]] = vector.shape_cast %[[RESULT_VEC]] : vector<8xf32> to vector<2x4xf32>118// CHECK: return %[[RESHAPED_VEC]]119 120func.func @vectorize_dynamic_reduction(%arg0: tensor<?x?xf32>, %arg1: tensor<?xf32>) -> tensor<?xf32> {121 %c0 = arith.constant 0 : index122 %dim = tensor.dim %arg0, %c0 : tensor<?x?xf32>123 %c1 = arith.constant 1 : index124 %dim_0 = tensor.dim %arg0, %c1 : tensor<?x?xf32>125 %c0_1 = arith.constant 0 : index126 %cst = arith.constant 0.000000e+00 : f32127 %0 = vector.create_mask %dim, %dim_0 : vector<4x8xi1>128 %1 = vector.mask %0 { vector.transfer_read %arg0[%c0_1, %c0_1], %cst {in_bounds = [true, true]} : tensor<?x?xf32>, vector<4x8xf32> } : vector<4x8xi1> -> vector<4x8xf32>129 %cst_2 = arith.constant 0.000000e+00 : f32130 %2 = vector.create_mask %dim : vector<4xi1>131 %3 = vector.mask %2 { vector.transfer_read %arg1[%c0_1], %cst_2 {in_bounds = [true]} : tensor<?xf32>, vector<4xf32> } : vector<4xi1> -> vector<4xf32>132 %4 = vector.mask %0 { vector.multi_reduction <add>, %1, %3 [1] : vector<4x8xf32> to vector<4xf32> } : vector<4x8xi1> -> vector<4xf32>133 %c0_3 = arith.constant 0 : index134 %5 = vector.mask %2 { vector.transfer_write %4, %arg1[%c0_3] {in_bounds = [true]} : vector<4xf32>, tensor<?xf32> } : vector<4xi1> -> tensor<?xf32>135 return %5 : tensor<?xf32>136}137 138// Verify that the original 2-D mask is sliced and propagated properly to the139// vector.reduction instances.140 141// CHECK-LABEL: func.func @vectorize_dynamic_reduction142// CHECK: %[[VAL_8:.*]] = tensor.dim143// CHECK: %[[VAL_9:.*]] = tensor.dim144// CHECK: %[[VAL_10:.*]] = vector.create_mask %[[VAL_8]], %[[VAL_9]] : vector<4x8xi1>145 146// CHECK: %[[VAL_16:.*]] = vector.extract %[[VAL_10]][0] : vector<8xi1> from vector<4x8xi1>147// CHECK: %[[VAL_17:.*]] = vector.mask %[[VAL_16]] { vector.reduction <add>, %{{.*}} : vector<8xf32> into f32 } : vector<8xi1> -> f32148// CHECK: %[[VAL_18:.*]] = vector.insert149 150// CHECK: %[[VAL_21:.*]] = vector.extract %[[VAL_10]][1] : vector<8xi1> from vector<4x8xi1>151// CHECK: %[[VAL_22:.*]] = vector.mask %[[VAL_21]] { vector.reduction <add>, %{{.*}} : vector<8xf32> into f32 } : vector<8xi1> -> f32152// CHECK: %[[VAL_23:.*]] = vector.insert153 154// CHECK: %[[VAL_26:.*]] = vector.extract %[[VAL_10]][2] : vector<8xi1> from vector<4x8xi1>155// CHECK: %[[VAL_27:.*]] = vector.mask %[[VAL_26]] { vector.reduction <add>, %{{.*}} : vector<8xf32> into f32 } : vector<8xi1> -> f32156// CHECK: %[[VAL_28:.*]] = vector.insert157 158// CHECK: %[[VAL_31:.*]] = vector.extract %[[VAL_10]][3] : vector<8xi1> from vector<4x8xi1>159// CHECK: %[[VAL_32:.*]] = vector.mask %[[VAL_31]] { vector.reduction <add>, %{{.*}} : vector<8xf32> into f32 } : vector<8xi1> -> f32160// CHECK: %[[VAL_33:.*]] = vector.insert161 162func.func @vectorize_1d_dynamic_reduction(%arg0: tensor<?xf32>) -> f32 {163 %c0 = arith.constant 0 : index164 %dim = tensor.dim %arg0, %c0 : tensor<?xf32>165 %c0_1 = arith.constant 0 : index166 %cst = arith.constant 0.000000e+00 : f32167 %0 = vector.create_mask %dim : vector<8xi1>168 %1 = vector.mask %0 { vector.transfer_read %arg0[%c0_1], %cst {in_bounds = [true]} : tensor<?xf32>, vector<8xf32> } : vector<8xi1> -> vector<8xf32>169 %4 = vector.mask %0 { vector.multi_reduction <add>, %1, %cst [0] : vector<8xf32> to f32 } : vector<8xi1> -> f32170 return %4 : f32171}172 173// Verify that a 1-D vector.multi_reduction is transformed into a vector.reduction.174// This transform expands 1-D vectors into 2-D.175 176// CHECK-LABEL: func.func @vectorize_1d_dynamic_reduction(177// CHECK: %[[VAL_5:.*]] = vector.create_mask {{.*}} : vector<8xi1>178// CHECK: %[[VAL_7:.*]] = vector.mask %[[VAL_5]] { vector.reduction <add>, %{{.*}} : vector<8xf32> into f32 } : vector<8xi1> -> f32179 180func.func @vectorize_dynamic_transpose_reduction(%arg0: tensor<?x?x?xf32>, %arg1: tensor<?x?xf32>) -> tensor<?x?xf32> {181 %c0 = arith.constant 0 : index182 %dim = tensor.dim %arg0, %c0 : tensor<?x?x?xf32>183 %c1 = arith.constant 1 : index184 %dim_0 = tensor.dim %arg0, %c1 : tensor<?x?x?xf32>185 %c2 = arith.constant 2 : index186 %dim_1 = tensor.dim %arg0, %c2 : tensor<?x?x?xf32>187 %c0_2 = arith.constant 0 : index188 %cst = arith.constant 0.000000e+00 : f32189 %0 = vector.create_mask %dim, %dim_0, %dim_1 : vector<4x8x16xi1>190 %1 = vector.mask %0 { vector.transfer_read %arg0[%c0_2, %c0_2, %c0_2], %cst {in_bounds = [true, true, true]} : tensor<?x?x?xf32>, vector<4x8x16xf32> } : vector<4x8x16xi1> -> vector<4x8x16xf32>191 %cst_3 = arith.constant 0.000000e+00 : f32192 %2 = vector.create_mask %dim_1, %dim_0 : vector<16x8xi1>193 %3 = vector.mask %2 { vector.transfer_read %arg1[%c0_2, %c0_2], %cst_3 {in_bounds = [true, true], permutation_map = affine_map<(d0, d1) -> (d1, d0)>} : tensor<?x?xf32>, vector<8x16xf32> } : vector<16x8xi1> -> vector<8x16xf32>194 %4 = vector.mask %0 { vector.multi_reduction <add>, %1, %3 [0] : vector<4x8x16xf32> to vector<8x16xf32> } : vector<4x8x16xi1> -> vector<8x16xf32>195 %c0_4 = arith.constant 0 : index196 %5 = vector.mask %2 { vector.transfer_write %4, %arg1[%c0_4, %c0_4] {in_bounds = [true, true], permutation_map = affine_map<(d0, d1) -> (d1, d0)>} : vector<8x16xf32>, tensor<?x?xf32> } : vector<16x8xi1> -> tensor<?x?xf32>197 return %5 : tensor<?x?xf32>198}199 200// CHECK-LABEL: func.func @vectorize_dynamic_transpose_reduction201// CHECK: %[[VAL_6:.*]] = tensor.dim202// CHECK: %[[VAL_7:.*]] = tensor.dim203// CHECK: %[[VAL_8:.*]] = tensor.dim204// CHECK: %[[VAL_135:.*]] = vector.create_mask %{{.*}}, %{{.*}}, %{{.*}} : vector<4x8x16xi1>205// CHECK: %[[VAL_139:.*]] = vector.transpose %[[VAL_135]], [1, 2, 0] : vector<4x8x16xi1> to vector<8x16x4xi1>206 207// Just checking a few instances to make sure the vector mask is properly propagated:208 209// CHECK: %[[VAL_143:.*]] = vector.extract %[[VAL_139]][0, 0] : vector<4xi1> from vector<8x16x4xi1>210// CHECK: %[[VAL_144:.*]] = vector.mask %[[VAL_143]] { vector.reduction <add>211// CHECK: %[[VAL_145:.*]] = vector.insert %[[VAL_144]]212 213// CHECK: %[[VAL_148:.*]] = vector.extract %[[VAL_139]][0, 1] : vector<4xi1> from vector<8x16x4xi1>214// CHECK: %[[VAL_149:.*]] = vector.mask %[[VAL_148]] { vector.reduction <add>215// CHECK: %[[VAL_150:.*]] = vector.insert %[[VAL_149]]216 217// CHECK: %[[VAL_153:.*]] = vector.extract %[[VAL_139]][0, 2] : vector<4xi1> from vector<8x16x4xi1>218// CHECK: %[[VAL_154:.*]] = vector.mask %[[VAL_153]] { vector.reduction <add>219// CHECK: %[[VAL_155:.*]] = vector.insert %[[VAL_154]]220 221// CHECK: %[[VAL_158:.*]] = vector.extract %[[VAL_139]][0, 3] : vector<4xi1> from vector<8x16x4xi1>222// CHECK: %[[VAL_159:.*]] = vector.mask %[[VAL_158]] { vector.reduction <add>223// CHECK: %[[VAL_160:.*]] = vector.insert %[[VAL_159]]224 225func.func @vector_multi_reduction_parallel_middle(%arg0: vector<3x4x5xf32>, %acc: vector<4xf32>) -> vector<4xf32> {226 %0 = vector.multi_reduction <add>, %arg0, %acc [0, 2] : vector<3x4x5xf32> to vector<4xf32>227 return %0 : vector<4xf32>228}229 230// CHECK-LABEL: func @vector_multi_reduction_parallel_middle231// CHECK-SAME: %[[INPUT:.+]]: vector<3x4x5xf32>, %[[ACC:.+]]: vector<4xf32>232// CHECK: vector.transpose %[[INPUT]], [1, 0, 2] : vector<3x4x5xf32> to vector<4x3x5xf32>233 234func.func private @vector_multi_reduction_non_scalable_dim(%A : vector<8x[4]x2xf32>, %B: vector<8x[4]xf32>) -> vector<8x[4]xf32> {235 %0 = vector.multi_reduction <add>, %A, %B [2] : vector<8x[4]x2xf32> to vector<8x[4]xf32>236 return %0 : vector<8x[4]xf32>237}238// CHECK-LABEL: func.func private @vector_multi_reduction_non_scalable_dim(239// CHECK-SAME: %[[VAL_0:.*]]: vector<8x[4]x2xf32>,240// CHECK-SAME: %[[VAL_1:.*]]: vector<8x[4]xf32>) -> vector<8x[4]xf32> {241// CHECK-DAG: %[[VAL_2:.*]] = arith.constant dense<0.000000e+00> : vector<[32]xf32>242 243// CHECK: %[[VAL_35:.*]] = vector.extract %[[VAL_0]][0, 0] : vector<2xf32> from vector<8x[4]x2xf32>244// CHECK: %[[VAL_36:.*]] = vector.extract %[[VAL_1]][0, 0] : f32 from vector<8x[4]xf32>245// CHECK: %[[VAL_37:.*]] = vector.reduction <add>, %[[VAL_35]], %[[VAL_36]] : vector<2xf32> into f32246// CHECK: %[[VAL_38:.*]] = vector.insert %[[VAL_37]], %[[VAL_2]] [0] : f32 into vector<[32]xf32>247 248// CHECK: %[[VAL_39:.*]] = vector.extract %[[VAL_0]][0, 1] : vector<2xf32> from vector<8x[4]x2xf32>249// CHECK: %[[VAL_40:.*]] = vector.extract %[[VAL_1]][0, 1] : f32 from vector<8x[4]xf32>250// CHECK: %[[VAL_41:.*]] = vector.reduction <add>, %[[VAL_39]], %[[VAL_40]] : vector<2xf32> into f32251// CHECK: %[[VAL_42:.*]] = vector.insert %[[VAL_41]], %[[VAL_38]] [1] : f32 into vector<[32]xf32>252 253// (...)254 255// CHECK: %[[VAL_159:.*]] = vector.extract %[[VAL_0]][7, 3] : vector<2xf32> from vector<8x[4]x2xf32>256// CHECK: %[[VAL_160:.*]] = vector.extract %[[VAL_1]][7, 3] : f32 from vector<8x[4]xf32>257// CHECK: %[[VAL_161:.*]] = vector.reduction <add>, %[[VAL_159]], %[[VAL_160]] : vector<2xf32> into f32258// CHECK: %[[VAL_162:.*]] = vector.insert %[[VAL_161]], %{{.*}} [31] : f32 into vector<[32]xf32>259 260// CHECK: %[[VAL_163:.*]] = vector.shape_cast %[[VAL_162]] : vector<[32]xf32> to vector<8x[4]xf32>261// CHECK: return %[[VAL_163]] : vector<8x[4]xf32>262 263// Check that OneDimMultiReductionToTwoDim handles scalable dim264func.func @vector_multi_reduction_scalable_dim_1d(%A: vector<[4]xf32>, %B: f32, %C: vector<[4]xi1>) -> f32 {265 %0 = vector.mask %C { vector.multi_reduction <add>, %A, %B [0] : vector<[4]xf32> to f32 } : vector<[4]xi1> -> f32266 return %0 : f32267}268 269// CHECK-LABEL: func.func @vector_multi_reduction_scalable_dim_1d(270// CHECK-SAME: %[[ARG_0:.*]]: vector<[4]xf32>,271// CHECK-SAME: %[[ARG_1:.*]]: f32,272// CHECK-SAME: %[[ARG_2:.*]]: vector<[4]xi1>) -> f32 {273// CHECK: %[[VAL_2:.*]] = vector.mask %[[ARG_2]] { vector.reduction <add>, %[[ARG_0]], %[[ARG_1]] : vector<[4]xf32> into f32 } : vector<[4]xi1> -> f32274// CHECK: return %[[VAL_2]] : f32275 276func.func @vector_multi_reduction_scalable_dim_2d(%A: vector<2x[4]xf32>, %B: vector<2xf32>, %C: vector<2x[4]xi1>) -> vector<2xf32> {277 %0 = vector.mask %C { vector.multi_reduction <add>, %A, %B [1] : vector<2x[4]xf32> to vector<2xf32> } : vector<2x[4]xi1> -> vector<2xf32>278 return %0 : vector<2xf32>279}280 281// CHECK-LABEL: func.func @vector_multi_reduction_scalable_dim_2d(282// CHECK-SAME: %[[ARG_0:.*]]: vector<2x[4]xf32>,283// CHECK-SAME: %[[ARG_1:.*]]: vector<2xf32>,284// CHECK-SAME: %[[ARG_2:.*]]: vector<2x[4]xi1>) -> vector<2xf32> {285// CHECK-DAG: %[[C0_2xf32:.*]] = arith.constant dense<0.000000e+00> : vector<2xf32>286// CHECK: %[[ARG0_0:.*]] = vector.extract %[[ARG_0]][0] : vector<[4]xf32> from vector<2x[4]xf32>287// CHECK: %[[ARG1_0:.*]] = vector.extract %[[ARG_1]][0] : f32 from vector<2xf32>288// CHECK: %[[ARG2_0:.*]] = vector.extract %[[ARG_2]][0] : vector<[4]xi1> from vector<2x[4]xi1>289// CHECK: %[[REDUCE_0:.*]] = vector.mask %[[ARG2_0]] { vector.reduction <add>, %[[ARG0_0]], %[[ARG1_0]] : vector<[4]xf32> into f32 } : vector<[4]xi1> -> f32290// CHECK: %[[INSERT_0:.*]] = vector.insert %[[REDUCE_0]], %[[C0_2xf32]] [0] : f32 into vector<2xf32>291// CHECK: %[[ARG0_1:.*]] = vector.extract %[[ARG_0]][1] : vector<[4]xf32> from vector<2x[4]xf32>292// CHECK: %[[ARG1_1:.*]] = vector.extract %[[ARG_1]][1] : f32 from vector<2xf32>293// CHECK: %[[ARG2_1:.*]] = vector.extract %[[ARG_2]][1] : vector<[4]xi1> from vector<2x[4]xi1>294// CHECK: %[[REDUCE_1:.*]] = vector.mask %[[ARG2_1]] { vector.reduction <add>, %[[ARG0_1]], %[[ARG1_1]] : vector<[4]xf32> into f32 } : vector<[4]xi1> -> f32295// CHECK: %[[INSERT_1:.*]] = vector.insert %[[REDUCE_1]], %[[INSERT_0]] [1] : f32 into vector<2xf32>296// CHECK: return %[[INSERT_1]] : vector<2xf32>297 298module attributes {transform.with_named_sequence} {299 transform.named_sequence @__transform_main(%root : !transform.any_op {transform.readonly}) {300 %func_op = transform.structured.match ops{["func.func"]} in %root : (!transform.any_op) -> !transform.op<"func.func">301 transform.apply_patterns to %func_op {302 transform.apply_patterns.vector.lower_multi_reduction lowering_strategy = "innerreduction"303 } : !transform.op<"func.func">304 transform.yield305 }306}307