| // RUN: mlir-opt %s --canonicalize --cse | FileCheck %s |
| |
| #SparseVector = #sparse_tensor.encoding<{dimLevelType = ["compressed"]}> |
| |
| // CHECK-LABEL: func @sparse_nop_convert( |
| // CHECK-SAME: %[[A:.*]]: tensor<64xf32, #sparse_tensor.encoding<{{{.*}}}>>) |
| // CHECK-NOT: sparse_tensor.convert |
| // CHECK: return %[[A]] : tensor<64xf32, #sparse_tensor.encoding<{{{.*}}}>> |
| func @sparse_nop_convert(%arg0: tensor<64xf32, #SparseVector>) -> tensor<64xf32, #SparseVector> { |
| %0 = sparse_tensor.convert %arg0 : tensor<64xf32, #SparseVector> to tensor<64xf32, #SparseVector> |
| return %0 : tensor<64xf32, #SparseVector> |
| } |
| |
| // CHECK-LABEL: func @sparse_dce_convert( |
| // CHECK-SAME: %[[A:.*]]: tensor<64xf32>) |
| // CHECK-NOT: sparse_tensor.convert |
| // CHECK: return |
| func @sparse_dce_convert(%arg0: tensor<64xf32>) { |
| %0 = sparse_tensor.convert %arg0 : tensor<64xf32> to tensor<64xf32, #SparseVector> |
| return |
| } |
| |
| // CHECK-LABEL: func @sparse_dce_getters( |
| // CHECK-SAME: %[[A:.*]]: tensor<64xf32, #sparse_tensor.encoding<{{{.*}}}>>) |
| // CHECK-NOT: sparse_tensor.pointers |
| // CHECK-NOT: sparse_tensor.indices |
| // CHECK-NOT: sparse_tensor.values |
| // CHECK: return |
| func @sparse_dce_getters(%arg0: tensor<64xf32, #SparseVector>) { |
| %c = arith.constant 0 : index |
| %0 = sparse_tensor.pointers %arg0, %c : tensor<64xf32, #SparseVector> to memref<?xindex> |
| %1 = sparse_tensor.indices %arg0, %c : tensor<64xf32, #SparseVector> to memref<?xindex> |
| %2 = sparse_tensor.values %arg0 : tensor<64xf32, #SparseVector> to memref<?xf32> |
| return |
| } |
