| // RUN: mlir-opt %s --sparse-assembler="direct-out=True" -split-input-file | FileCheck %s |
| |
| // ----- |
| |
| // CHECK-LABEL: func.func @sparse_in( |
| // CHECK-SAME: %[[B:.*0]]: tensor<?xindex>, |
| // CHECK-SAME: %[[C:.*1]]: tensor<?xindex>, |
| // CHECK-SAME: %[[A:.*]]: tensor<?xf32>) -> tensor<64x64xf32> { |
| // CHECK: %[[I:.*]] = sparse_tensor.assemble (%[[B]], %[[C]]), %[[A]] |
| // CHECK: %[[F:.*]] = call @_internal_sparse_in(%[[I]]) |
| // CHECK: return %[[F]] : tensor<64x64xf32> |
| // CHECK: } |
| // CHECK: func.func private @_internal_sparse_in |
| #sparse = #sparse_tensor.encoding<{ map = (d0, d1) -> (d0 : dense, d1 : compressed) }> |
| func.func @sparse_in(%arg0: tensor<64x64xf32, #sparse>) -> tensor<64x64xf32> { |
| %0 = sparse_tensor.convert %arg0 : tensor<64x64xf32, #sparse> to tensor<64x64xf32> |
| return %0 : tensor<64x64xf32> |
| } |
| |
| // ----- |
| |
| // CHECK-LABEL: func.func @sparse_out( |
| // CHECK-SAME: %[[X:.*0]]: tensor<64x64xf32>) |
| // CHECK: %[[F:.*]] = call @_internal_sparse_out(%[[X]]) |
| // CHECK: %[[P:.*]] = sparse_tensor.positions %[[F]] |
| // CHECK: %[[C:.*]] = sparse_tensor.coordinates %[[F]] |
| // CHECK: %[[V:.*]] = sparse_tensor.values %[[F]] |
| // CHECK: return %[[P]], %[[C]], %[[V]] |
| // CHECK: } |
| // CHECK: func.func private @_internal_sparse_out |
| #sparse = #sparse_tensor.encoding<{ map = (d0, d1) -> (d0 : dense, d1 : compressed) }> |
| func.func @sparse_out(%arg0: tensor<64x64xf32>) -> tensor<64x64xf32, #sparse> { |
| %0 = sparse_tensor.convert %arg0 : tensor<64x64xf32> to tensor<64x64xf32, #sparse> |
| return %0 : tensor<64x64xf32, #sparse> |
| } |
| |
| // ----- |
| |
| // CHECK-LABEL: func.func @sparse_out2( |
| // CHECK-SAME: %[[X:.*0]]: tensor<64x64xf32>) |
| // CHECK: %[[F:.*]]:2 = call @_internal_sparse_out2(%[[X]]) |
| // CHECK: %[[P:.*]] = sparse_tensor.positions %[[F]]#1 |
| // CHECK: %[[C:.*]] = sparse_tensor.coordinates %[[F]]#1 |
| // CHECK: %[[V:.*]] = sparse_tensor.values %[[F]]#1 |
| // CHECK: return %[[F]]#0, %[[P]], %[[C]], %[[V]] |
| // CHECK: } |
| // CHECK: func.func private @_internal_sparse_out2 |
| #sparse = #sparse_tensor.encoding<{ map = (d0, d1) -> (d0 : dense, d1 : compressed) }> |
| func.func @sparse_out2(%arg0: tensor<64x64xf32>) -> (tensor<64x64xf32>, tensor<64x64xf32, #sparse>) { |
| %0 = sparse_tensor.convert %arg0 : tensor<64x64xf32> to tensor<64x64xf32, #sparse> |
| return %arg0, %0 : tensor<64x64xf32>, tensor<64x64xf32, #sparse> |
| } |
