| // RUN: mlir-opt %s -one-shot-bufferize -verify-diagnostics |
| |
| #SparseVector = #sparse_tensor.encoding<{ |
| map = (d0) -> (d0 : compressed) |
| }> |
| |
| func.func @sparse_tensor_op(%arg0: tensor<64xf32, #SparseVector>) -> tensor<64xf32, #SparseVector> { |
| // expected-error @below{{sparse_tensor ops must be bufferized with the sparsifier}} |
| // expected-error @below{{failed to bufferize op}} |
| %0 = sparse_tensor.convert %arg0 : tensor<64xf32, #SparseVector> to tensor<64xf32, #SparseVector> |
| return %0 : tensor<64xf32, #SparseVector> |
| } |
