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1// RUN: mlir-opt %s --sparse-tensor-codegen --canonicalize --cse | FileCheck %s2 3#CSR = #sparse_tensor.encoding<{ map = (d0, d1) -> (d0 : dense, d1 : compressed)}>4#COO = #sparse_tensor.encoding<{ map = (d0, d1) -> (d0 : compressed(nonunique), d1 : singleton)}>5 6// CHECK-LABEL: func.func @sparse_alloc_copy_CSR(7// CHECK-SAME: %[[VAL_0:.*0]]: memref<?xindex>,8// CHECK-SAME: %[[VAL_1:.*1]]: memref<?xindex>,9// CHECK-SAME: %[[VAL_2:.*2]]: memref<?xf32>,10// CHECK-SAME: %[[VAL_3:.*]]: !sparse_tensor.storage_specifier<#{{.*}}>) -> (memref<?xindex>, memref<?xindex>, memref<?xf32>, !sparse_tensor.storage_specifier<#{{.*}}>) {11// CHECK: %[[VAL_4:.*]] = arith.constant 0 : index12// CHECK: %[[VAL_5:.*]] = memref.dim %[[VAL_0]], %[[VAL_4]] : memref<?xindex>13// CHECK: %[[VAL_6:.*]] = memref.alloc(%[[VAL_5]]) : memref<?xindex>14// CHECK: memref.copy %[[VAL_0]], %[[VAL_6]] : memref<?xindex> to memref<?xindex>15// CHECK: %[[VAL_7:.*]] = memref.dim %[[VAL_1]], %[[VAL_4]] : memref<?xindex>16// CHECK: %[[VAL_8:.*]] = memref.alloc(%[[VAL_7]]) : memref<?xindex>17// CHECK: memref.copy %[[VAL_1]], %[[VAL_8]] : memref<?xindex> to memref<?xindex>18// CHECK: %[[VAL_9:.*]] = memref.dim %[[VAL_2]], %[[VAL_4]] : memref<?xf32>19// CHECK: %[[VAL_10:.*]] = memref.alloc(%[[VAL_9]]) : memref<?xf32>20// CHECK: memref.copy %[[VAL_2]], %[[VAL_10]] : memref<?xf32> to memref<?xf32>21func.func @sparse_alloc_copy_CSR(%arg0: tensor<2x2xf32, #CSR>) -> tensor<2x2xf32, #CSR> {22 %0 = bufferization.alloc_tensor() copy(%arg0) : tensor<2x2xf32, #CSR>23 "test.sink"(%0) : (tensor<2x2xf32, #CSR>) -> ()24}25 26// CHECK-LABEL: func.func @sparse_alloc_copy_COO(27// CHECK-SAME: %[[VAL_0:.*0]]: memref<?xindex>,28// CHECK-SAME: %[[VAL_1:.*1]]: memref<?xindex>,29// CHECK-SAME: %[[VAL_2:.*2]]: memref<?xf32>,30// CHECK-SAME: %[[VAL_3:.*]]: !sparse_tensor.storage_specifier<#{{.*}}>) -> (memref<?xindex>, memref<?xindex>, memref<?xf32>, !sparse_tensor.storage_specifier<#{{.*}}>) {31// CHECK: %[[VAL_4:.*]] = arith.constant 0 : index32// CHECK: %[[VAL_5:.*]] = memref.dim %[[VAL_0]], %[[VAL_4]] : memref<?xindex>33// CHECK: %[[VAL_6:.*]] = memref.alloc(%[[VAL_5]]) : memref<?xindex>34// CHECK: memref.copy %[[VAL_0]], %[[VAL_6]] : memref<?xindex> to memref<?xindex>35// CHECK: %[[VAL_7:.*]] = memref.dim %[[VAL_1]], %[[VAL_4]] : memref<?xindex>36// CHECK: %[[VAL_8:.*]] = memref.alloc(%[[VAL_7]]) : memref<?xindex>37// CHECK: memref.copy %[[VAL_1]], %[[VAL_8]] : memref<?xindex> to memref<?xindex>38// CHECK: %[[VAL_9:.*]] = memref.dim %[[VAL_2]], %[[VAL_4]] : memref<?xf32>39// CHECK: %[[VAL_10:.*]] = memref.alloc(%[[VAL_9]]) : memref<?xf32>40// CHECK: memref.copy %[[VAL_2]], %[[VAL_10]] : memref<?xf32> to memref<?xf32>41func.func @sparse_alloc_copy_COO(%arg0: tensor<2x2xf32, #COO>) -> tensor<2x2xf32, #COO> {42 %0 = bufferization.alloc_tensor() copy(%arg0) : tensor<2x2xf32, #COO>43 "test.sink"(%0) : (tensor<2x2xf32, #COO>) -> ()44}45