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1// RUN: mlir-opt %s --sparse-tensor-codegen=enable-buffer-initialization=true  --canonicalize --cse | FileCheck %s2 3#SV = #sparse_tensor.encoding<{ map = (d0) -> (d0 : compressed) }>4 5// CHECK-LABEL:   func.func @empty_sparse_vector(6//  CHECK-SAME:     %[[VAL_0:.*]]: index) -> (memref<?xindex>, memref<?xindex>, memref<?xf64>, !sparse_tensor.storage_specifier7//   CHECK-DAG:     %[[VAL_1:.*]] = arith.constant 1 : index8//   CHECK-DAG:     %[[VAL_2:.*]] = arith.constant 0.000000e+00 : f649//   CHECK-DAG:     %[[VAL_3:.*]] = arith.constant 0 : index10//       CHECK:     %[[VAL_4:.*]] = memref.alloc() : memref<16xindex>11//       CHECK:     %[[VAL_5:.*]] = memref.cast %[[VAL_4]] : memref<16xindex> to memref<?xindex>12//       CHECK:     linalg.fill ins(%[[VAL_3]] : index) outs(%[[VAL_4]] : memref<16xindex>)13//       CHECK:     %[[VAL_6:.*]] = memref.alloc() : memref<16xindex>14//       CHECK:     %[[VAL_7:.*]] = memref.cast %[[VAL_6]] : memref<16xindex> to memref<?xindex>15//       CHECK:     linalg.fill ins(%[[VAL_3]] : index) outs(%[[VAL_6]] : memref<16xindex>)16//       CHECK:     %[[VAL_8:.*]] = memref.alloc() : memref<16xf64>17//       CHECK:     %[[VAL_9:.*]] = memref.cast %[[VAL_8]] : memref<16xf64> to memref<?xf64>18//       CHECK:     linalg.fill ins(%[[VAL_2]] : f64) outs(%[[VAL_8]] : memref<16xf64>)19//       CHECK:     %[[VAL_10:.*]] = sparse_tensor.storage_specifier.init : !sparse_tensor.storage_specifier20//       CHECK:     %[[VAL_12:.*]] = sparse_tensor.storage_specifier.set %[[VAL_10]]  lvl_sz at 0 with %[[VAL_0]] : !sparse_tensor.storage_specifier21//       CHECK:     %[[VAL_14:.*]] = sparse_tensor.storage_specifier.get %[[VAL_12]]  pos_mem_sz at 0 : !sparse_tensor.storage_specifier22//       CHECK:     %[[VAL_15:.*]], %[[VAL_17:.*]] = sparse_tensor.push_back %[[VAL_14]], %[[VAL_5]], %[[VAL_3]] : index, memref<?xindex>, index23//       CHECK:     %[[VAL_18:.*]] = sparse_tensor.storage_specifier.set %[[VAL_12]]  pos_mem_sz at 0 with %[[VAL_17]] : !sparse_tensor.storage_specifier24//       CHECK:     %[[VAL_19:.*]], %[[VAL_21:.*]] = sparse_tensor.push_back %[[VAL_17]], %[[VAL_15]], %[[VAL_3]], %[[VAL_1]] : index, memref<?xindex>, index, index25//       CHECK:     %[[VAL_22:.*]] = sparse_tensor.storage_specifier.set %[[VAL_18]]  pos_mem_sz at 0 with %[[VAL_21]] : !sparse_tensor.storage_specifier26//       CHECK:     return %[[VAL_19]], %[[VAL_7]], %[[VAL_9]], %[[VAL_22]] : memref<?xindex>, memref<?xindex>, memref<?xf64>, !sparse_tensor.storage_specifier27func.func @empty_sparse_vector(%arg0: index) -> tensor<?xf64, #SV> {28  %0 = tensor.empty(%arg0) : tensor<?xf64, #SV>29  %1 = sparse_tensor.load %0 : tensor<?xf64, #SV>30  return %1 : tensor<?xf64, #SV>31}32