1// RUN: mlir-opt %s --lower-sparse-ops-to-foreach="enable-runtime-library=false enable-convert=false" \ 2// RUN: --lower-sparse-foreach-to-scf | FileCheck %s 3 4#CSR = #sparse_tensor.encoding<{ 5 map = (d0, d1) -> (d0 : dense, d1 : compressed) 6}> 7 8#CSC = #sparse_tensor.encoding<{ 9 map = (d0, d1) -> (d1 : dense, d0 : compressed) 10}> 11 12#COO = #sparse_tensor.encoding<{ 13 map = (d0, d1) -> (d0 : compressed(nonunique), d1 : singleton) 14}> 15 16// CHECK-LABEL: func.func @sparse_new( 17// CHECK-SAME: %[[A:.*]]: !llvm.ptr) -> tensor<?x?xf32, #sparse{{[0-9]*}}> { 18// CHECK: %[[COO:.*]] = sparse_tensor.new %[[A]] : !llvm.ptr to tensor<?x?xf32, #sparse{{[0-9]*}}> 19// CHECK: %[[R:.*]] = sparse_tensor.convert %[[COO]] 20// CHECK: bufferization.dealloc_tensor %[[COO]] 21// CHECK: return %[[R]] 22func.func @sparse_new(%arg0: !llvm.ptr) -> tensor<?x?xf32, #CSR> { 23 %0 = sparse_tensor.new %arg0 : !llvm.ptr to tensor<?x?xf32, #CSR> 24 return %0 : tensor<?x?xf32, #CSR> 25} 26 27// CHECK-LABEL: func.func @sparse_new_csc( 28// CHECK-SAME: %[[A:.*]]: !llvm.ptr) -> tensor<?x?xf32, #sparse{{[0-9]*}}> { 29// CHECK: %[[COO:.*]] = sparse_tensor.new %[[A]] : !llvm.ptr to tensor<?x?xf32, #sparse{{[0-9]*}}> 30// CHECK: %[[R:.*]] = sparse_tensor.convert %[[COO]] 31// CHECK: bufferization.dealloc_tensor %[[COO]] 32// CHECK: return %[[R]] 33func.func @sparse_new_csc(%arg0: !llvm.ptr) -> tensor<?x?xf32, #CSC> { 34 %0 = sparse_tensor.new %arg0 : !llvm.ptr to tensor<?x?xf32, #CSC> 35 return %0 : tensor<?x?xf32, #CSC> 36} 37 38// CHECK-LABEL: func.func @sparse_new_coo( 39// CHECK-SAME: %[[A:.*]]: !llvm.ptr) -> tensor<?x?xf32, #sparse{{[0-9]*}}> { 40// CHECK: %[[COO:.*]] = sparse_tensor.new %[[A]] : !llvm.ptr to tensor<?x?xf32, #sparse{{[0-9]*}}> 41// CHECK: return %[[COO]] 42func.func @sparse_new_coo(%arg0: !llvm.ptr) -> tensor<?x?xf32, #COO> { 43 %0 = sparse_tensor.new %arg0 : !llvm.ptr to tensor<?x?xf32, #COO> 44 return %0 : tensor<?x?xf32, #COO> 45} 46 47// CHECK-LABEL: func.func @sparse_out( 48// CHECK-SAME: %[[A:.*]]: tensor<10x20xf32, #sparse{{[0-9]*}}>, 49// CHECK-SAME: %[[B:.*]]: !llvm.ptr) { 50// CHECK-DAG: %[[C0:.*]] = arith.constant 0 : index 51// CHECK-DAG: %[[C1:.*]] = arith.constant 1 : index 52// CHECK-DAG: %[[C2:.*]] = arith.constant 2 : index 53// CHECK-DAG: %[[C10:.*]] = arith.constant 10 : index 54// CHECK-DAG: %[[C20:.*]] = arith.constant 20 : index 55// CHECK: %[[NNZ:.*]] = sparse_tensor.number_of_entries %[[A]] 56// CHECK: %[[DS:.*]] = memref.alloca(%[[C2]]) : memref<?xindex> 57// CHECK: memref.store %[[C10]], %[[DS]]{{\[}}%[[C0]]] : memref<?xindex> 58// CHECK: memref.store %[[C20]], %[[DS]]{{\[}}%[[C1]]] : memref<?xindex> 59// CHECK: %[[W:.*]] = call @createSparseTensorWriter(%[[B]]) 60// CHECK: call @outSparseTensorWriterMetaData(%[[W]], %[[C2]], %[[NNZ]], %[[DS]]) 61// CHECK: %[[V:.*]] = memref.alloca() : memref<f32> 62// CHECK: scf.for %{{.*}} = %[[C0]] to %[[C10]] step %[[C1]] { 63// CHECK: scf.for {{.*}} { 64// CHECK: func.call @outSparseTensorWriterNextF32(%[[W]], %[[C2]], %[[DS]], %[[V]]) 65// CHECK: } 66// CHECK: } 67// CHECK: call @delSparseTensorWriter(%[[W]]) 68// CHECK: return 69// CHECK: } 70func.func @sparse_out( %arg0: tensor<10x20xf32, #CSR>, %arg1: !llvm.ptr) -> () { 71 sparse_tensor.out %arg0, %arg1 : tensor<10x20xf32, #CSR>, !llvm.ptr 72 return 73} 74