1// RUN: mlir-opt %s --sparse-tensor-codegen=enable-buffer-initialization=true --canonicalize --cse | FileCheck %s 2 3#SV = #sparse_tensor.encoding<{ dimLevelType = [ "compressed" ] }> 4 5// CHECK-LABEL: func @sparse_alloc_sparse_vector( 6// CHECK-SAME: %[[A:.*]]: index) -> 7// CHECK-SAME: memref<1xindex>, memref<3xindex>, memref<?xindex>, memref<?xindex>, memref<?xf64> 8// CHECK-DAG: %[[C0:.*]] = arith.constant 0 : index 9// CHECK-DAG: %[[C1:.*]] = arith.constant 1 : index 10// CHECK-DAG: %[[F0:.*]] = arith.constant 0.{{0*}}e+00 : f64 11// CHECK: %[[T0:.*]] = memref.alloc() : memref<1xindex> 12// CHECK: %[[T1:.*]] = memref.alloc() : memref<3xindex> 13// CHECK: %[[T2:.*]] = memref.alloc() : memref<16xindex> 14// CHECK: %[[T3:.*]] = memref.cast %[[T2]] : memref<16xindex> to memref<?xindex> 15// CHECK: linalg.fill ins(%[[C0]] : index) outs(%[[T2]] : memref<16xindex>) 16// CHECK: %[[T4:.*]] = memref.alloc() : memref<16xindex> 17// CHECK: %[[T5:.*]] = memref.cast %[[T4]] : memref<16xindex> to memref<?xindex> 18// CHECK: linalg.fill ins(%[[C0]] : index) outs(%[[T4]] : memref<16xindex>) 19// CHECK: %[[T6:.*]] = memref.alloc() : memref<16xf64> 20// CHECK: %[[T7:.*]] = memref.cast %[[T6]] : memref<16xf64> to memref<?xf64> 21// CHECK: linalg.fill ins(%[[F0]] : f64) outs(%[[T6]] : memref<16xf64>) 22// CHECK: linalg.fill ins(%[[C0]] : index) outs(%[[T1]] : memref<3xindex>) 23// CHECK: memref.store %[[A]], %[[T0]][%[[C0]]] : memref<1xindex> 24// CHECK: %[[P0:.*]] = sparse_tensor.push_back %[[T1]], %[[T3]] 25// CHECK: %[[P1:.*]] = sparse_tensor.push_back %[[T1]], %[[P0]] 26// CHECK: return %[[T0]], %[[T1]], %[[P1]], %[[T5]], %[[T7]] : 27func.func @sparse_alloc_sparse_vector(%arg0: index) -> tensor<?xf64, #SV> { 28 %0 = bufferization.alloc_tensor(%arg0) : tensor<?xf64, #SV> 29 %1 = sparse_tensor.load %0 : tensor<?xf64, #SV> 30 return %1 : tensor<?xf64, #SV> 31} 32