| // RUN: mlir-opt %s --lower-sparse-ops-to-foreach="enable-runtime-library=false enable-convert=false" \ |
| // RUN: --lower-sparse-foreach-to-scf | FileCheck %s |
| |
| #CSR = #sparse_tensor.encoding<{ |
| map = (d0, d1) -> (d0 : dense, d1 : compressed) |
| }> |
| |
| #CSC = #sparse_tensor.encoding<{ |
| map = (d0, d1) -> (d1 : dense, d0 : compressed) |
| }> |
| |
| #COO = #sparse_tensor.encoding<{ |
| map = (d0, d1) -> (d0 : compressed(nonunique), d1 : singleton) |
| }> |
| |
| // CHECK-LABEL: func.func @sparse_new( |
| // CHECK-SAME: %[[A:.*]]: !llvm.ptr) -> tensor<?x?xf32, #sparse{{[0-9]*}}> { |
| // CHECK: %[[COO:.*]] = sparse_tensor.new %[[A]] : !llvm.ptr to tensor<?x?xf32, #sparse{{[0-9]*}}> |
| // CHECK: %[[R:.*]] = sparse_tensor.convert %[[COO]] |
| // CHECK: bufferization.dealloc_tensor %[[COO]] |
| // CHECK: return %[[R]] |
| func.func @sparse_new(%arg0: !llvm.ptr) -> tensor<?x?xf32, #CSR> { |
| %0 = sparse_tensor.new %arg0 : !llvm.ptr to tensor<?x?xf32, #CSR> |
| return %0 : tensor<?x?xf32, #CSR> |
| } |
| |
| // CHECK-LABEL: func.func @sparse_new_csc( |
| // CHECK-SAME: %[[A:.*]]: !llvm.ptr) -> tensor<?x?xf32, #sparse{{[0-9]*}}> { |
| // CHECK: %[[COO:.*]] = sparse_tensor.new %[[A]] : !llvm.ptr to tensor<?x?xf32, #sparse{{[0-9]*}}> |
| // CHECK: %[[R:.*]] = sparse_tensor.convert %[[COO]] |
| // CHECK: bufferization.dealloc_tensor %[[COO]] |
| // CHECK: return %[[R]] |
| func.func @sparse_new_csc(%arg0: !llvm.ptr) -> tensor<?x?xf32, #CSC> { |
| %0 = sparse_tensor.new %arg0 : !llvm.ptr to tensor<?x?xf32, #CSC> |
| return %0 : tensor<?x?xf32, #CSC> |
| } |
| |
| // CHECK-LABEL: func.func @sparse_new_coo( |
| // CHECK-SAME: %[[A:.*]]: !llvm.ptr) -> tensor<?x?xf32, #sparse{{[0-9]*}}> { |
| // CHECK: %[[COO:.*]] = sparse_tensor.new %[[A]] : !llvm.ptr to tensor<?x?xf32, #sparse{{[0-9]*}}> |
| // CHECK: return %[[COO]] |
| func.func @sparse_new_coo(%arg0: !llvm.ptr) -> tensor<?x?xf32, #COO> { |
| %0 = sparse_tensor.new %arg0 : !llvm.ptr to tensor<?x?xf32, #COO> |
| return %0 : tensor<?x?xf32, #COO> |
| } |
| |
| // CHECK-LABEL: func.func @sparse_out( |
| // CHECK-SAME: %[[A:.*]]: tensor<10x20xf32, #sparse{{[0-9]*}}>, |
| // CHECK-SAME: %[[B:.*]]: !llvm.ptr) { |
| // CHECK-DAG: %[[C0:.*]] = arith.constant 0 : index |
| // CHECK-DAG: %[[C1:.*]] = arith.constant 1 : index |
| // CHECK-DAG: %[[C2:.*]] = arith.constant 2 : index |
| // CHECK-DAG: %[[C10:.*]] = arith.constant 10 : index |
| // CHECK-DAG: %[[C20:.*]] = arith.constant 20 : index |
| // CHECK: %[[NNZ:.*]] = sparse_tensor.number_of_entries %[[A]] |
| // CHECK: %[[DS:.*]] = memref.alloca(%[[C2]]) : memref<?xindex> |
| // CHECK: memref.store %[[C10]], %[[DS]]{{\[}}%[[C0]]] : memref<?xindex> |
| // CHECK: memref.store %[[C20]], %[[DS]]{{\[}}%[[C1]]] : memref<?xindex> |
| // CHECK: %[[W:.*]] = call @createSparseTensorWriter(%[[B]]) |
| // CHECK: call @outSparseTensorWriterMetaData(%[[W]], %[[C2]], %[[NNZ]], %[[DS]]) |
| // CHECK: %[[V:.*]] = memref.alloca() : memref<f32> |
| // CHECK: scf.for %{{.*}} = %[[C0]] to %[[C10]] step %[[C1]] { |
| // CHECK: scf.for {{.*}} { |
| // CHECK: func.call @outSparseTensorWriterNextF32(%[[W]], %[[C2]], %[[DS]], %[[V]]) |
| // CHECK: } |
| // CHECK: } |
| // CHECK: call @delSparseTensorWriter(%[[W]]) |
| // CHECK: return |
| // CHECK: } |
| func.func @sparse_out( %arg0: tensor<10x20xf32, #CSR>, %arg1: !llvm.ptr) -> () { |
| sparse_tensor.out %arg0, %arg1 : tensor<10x20xf32, #CSR>, !llvm.ptr |
| return |
| } |
