diff options
Diffstat (limited to 'mlir/test/Dialect/SparseTensor/sparse_concat.mlir')
| -rw-r--r-- | mlir/test/Dialect/SparseTensor/sparse_concat.mlir | 128 |
1 files changed, 64 insertions, 64 deletions
diff --git a/mlir/test/Dialect/SparseTensor/sparse_concat.mlir b/mlir/test/Dialect/SparseTensor/sparse_concat.mlir index 86dc9a1..a323fa8 100644 --- a/mlir/test/Dialect/SparseTensor/sparse_concat.mlir +++ b/mlir/test/Dialect/SparseTensor/sparse_concat.mlir @@ -7,19 +7,19 @@ #DCSR = #sparse_tensor.encoding<{map = (d0, d1) -> (d0 : compressed, d1 : compressed)}> // CHECK-LABEL: @concat_sparse_sparse( -// CHECK-SAME: %[[TMP_arg0:.*]]: tensor<2x4xf64, #sparse_tensor -// CHECK-SAME: %[[TMP_arg1:.*]]: tensor<3x4xf64, #sparse_tensor -// CHECK-SAME: %[[TMP_arg2:.*]]: tensor<4x4xf64, #sparse_tensor +// CHECK-SAME: %[[TMP_arg0:.*]]: tensor<2x4xf64, #sparse> +// CHECK-SAME: %[[TMP_arg1:.*]]: tensor<3x4xf64, #sparse> +// CHECK-SAME: %[[TMP_arg2:.*]]: tensor<4x4xf64, #sparse> // CHECK: %[[TMP_c0:.*]] = arith.constant 0 : index // CHECK: %[[TMP_c1:.*]] = arith.constant 1 : index // CHECK: %[[TMP_c5:.*]] = arith.constant 5 : index // CHECK: %[[TMP_c2:.*]] = arith.constant 2 : index -// CHECK: %[[TMP_0:.*]] = bufferization.alloc_tensor() : tensor<9x4xf64, #sparse_tensor -// CHECK: %[[TMP_1:.*]] = sparse_tensor.positions %[[TMP_arg0]] {level = 0 : index} : tensor<2x4xf64, #sparse_tensor -// CHECK: %[[TMP_2:.*]] = sparse_tensor.coordinates %[[TMP_arg0]] {level = 0 : index} : tensor<2x4xf64, #sparse_tensor -// CHECK: %[[TMP_3:.*]] = sparse_tensor.positions %[[TMP_arg0]] {level = 1 : index} : tensor<2x4xf64, #sparse_tensor -// CHECK: %[[TMP_4:.*]] = sparse_tensor.coordinates %[[TMP_arg0]] {level = 1 : index} : tensor<2x4xf64, #sparse_tensor -// CHECK: %[[TMP_5:.*]] = sparse_tensor.values %[[TMP_arg0]] : tensor<2x4xf64, #sparse_tensor +// CHECK: %[[TMP_0:.*]] = bufferization.alloc_tensor() : tensor<9x4xf64, #sparse> +// CHECK: %[[TMP_1:.*]] = sparse_tensor.positions %[[TMP_arg0]] {level = 0 : index} : tensor<2x4xf64, #sparse> +// CHECK: %[[TMP_2:.*]] = sparse_tensor.coordinates %[[TMP_arg0]] {level = 0 : index} : tensor<2x4xf64, #sparse> +// CHECK: %[[TMP_3:.*]] = sparse_tensor.positions %[[TMP_arg0]] {level = 1 : index} : tensor<2x4xf64, #sparse> +// CHECK: %[[TMP_4:.*]] = sparse_tensor.coordinates %[[TMP_arg0]] {level = 1 : index} : tensor<2x4xf64, #sparse> +// CHECK: %[[TMP_5:.*]] = sparse_tensor.values %[[TMP_arg0]] : tensor<2x4xf64, #sparse> // CHECK: %[[TMP_6:.*]] = memref.load %[[TMP_1]][%[[TMP_c0]]] : memref<?xindex> // CHECK: %[[TMP_7:.*]] = memref.load %[[TMP_1]][%[[TMP_c1]]] : memref<?xindex> // CHECK: %[[RET_1:.*]] = scf.for %[[TMP_arg3:.*]] = %[[TMP_6]] to %[[TMP_7]] step %[[TMP_c1]] iter_args(%[[A0:.*]] = %[[TMP_0]]) @@ -30,16 +30,16 @@ // CHECK: %[[RET_4:.*]] = scf.for %[[TMP_arg4:.*]] = %[[TMP_25]] to %[[TMP_26]] step %[[TMP_c1]] iter_args(%[[A1:.*]] = %[[A0]]) // CHECK: %[[TMP_27:.*]] = memref.load %[[TMP_4]][%[[TMP_arg4]]] : memref<?xindex> // CHECK: %[[TMP_28:.*]] = memref.load %[[TMP_5]][%[[TMP_arg4]]] : memref<?xf64> -// CHECK: %[[NEW_1:.*]] = tensor.insert %[[TMP_28]] into %[[A1]][%[[TMP_23]], %[[TMP_27]]] : tensor<9x4xf64, #sparse_tensor +// CHECK: %[[NEW_1:.*]] = tensor.insert %[[TMP_28]] into %[[A1]][%[[TMP_23]], %[[TMP_27]]] : tensor<9x4xf64, #sparse> // CHECK: scf.yield %[[NEW_1]] // CHECK: } // CHECK: scf.yield %[[RET_4]] // CHECK: } -// CHECK: %[[TMP_8:.*]] = sparse_tensor.positions %[[TMP_arg1]] {level = 0 : index} : tensor<3x4xf64, #sparse_tensor -// CHECK: %[[TMP_9:.*]] = sparse_tensor.coordinates %[[TMP_arg1]] {level = 0 : index} : tensor<3x4xf64, #sparse_tensor -// CHECK: %[[TMP_10:.*]] = sparse_tensor.positions %[[TMP_arg1]] {level = 1 : index} : tensor<3x4xf64, #sparse_tensor -// CHECK: %[[TMP_11:.*]] = sparse_tensor.coordinates %[[TMP_arg1]] {level = 1 : index} : tensor<3x4xf64, #sparse_tensor -// CHECK: %[[TMP_12:.*]] = sparse_tensor.values %[[TMP_arg1]] : tensor<3x4xf64, #sparse_tensor +// CHECK: %[[TMP_8:.*]] = sparse_tensor.positions %[[TMP_arg1]] {level = 0 : index} : tensor<3x4xf64, #sparse> +// CHECK: %[[TMP_9:.*]] = sparse_tensor.coordinates %[[TMP_arg1]] {level = 0 : index} : tensor<3x4xf64, #sparse> +// CHECK: %[[TMP_10:.*]] = sparse_tensor.positions %[[TMP_arg1]] {level = 1 : index} : tensor<3x4xf64, #sparse> +// CHECK: %[[TMP_11:.*]] = sparse_tensor.coordinates %[[TMP_arg1]] {level = 1 : index} : tensor<3x4xf64, #sparse> +// CHECK: %[[TMP_12:.*]] = sparse_tensor.values %[[TMP_arg1]] : tensor<3x4xf64, #sparse> // CHECK: %[[TMP_13:.*]] = memref.load %[[TMP_8]][%[[TMP_c0]]] : memref<?xindex> // CHECK: %[[TMP_14:.*]] = memref.load %[[TMP_8]][%[[TMP_c1]]] : memref<?xindex> // CHECK: %[[RET_2:.*]] = scf.for %[[TMP_arg3:.*]] = %[[TMP_13]] to %[[TMP_14]] step %[[TMP_c1]] iter_args(%[[A2:.*]] = %[[RET_1]]) @@ -51,16 +51,16 @@ // CHECK: %[[TMP_27:.*]] = memref.load %[[TMP_11]][%[[TMP_arg4]]] : memref<?xindex> // CHECK: %[[TMP_28:.*]] = memref.load %[[TMP_12]][%[[TMP_arg4]]] : memref<?xf64> // CHECK: %[[TMP_29:.*]] = arith.addi %[[TMP_23]], %[[TMP_c2]] : index -// CHECK: %[[NEW_2:.*]] = tensor.insert %[[TMP_28]] into %[[A3]][%[[TMP_29]], %[[TMP_27]]] : tensor<9x4xf64, #sparse_tensor +// CHECK: %[[NEW_2:.*]] = tensor.insert %[[TMP_28]] into %[[A3]][%[[TMP_29]], %[[TMP_27]]] : tensor<9x4xf64, #sparse> // CHECK: scf.yield %[[NEW_2]] // CHECK: } // CHECK: scf.yield %[[RET_5]] // CHECK: } -// CHECK: %[[TMP_15:.*]] = sparse_tensor.positions %[[TMP_arg2]] {level = 0 : index} : tensor<4x4xf64, #sparse_tensor -// CHECK: %[[TMP_16:.*]] = sparse_tensor.coordinates %[[TMP_arg2]] {level = 0 : index} : tensor<4x4xf64, #sparse_tensor -// CHECK: %[[TMP_17:.*]] = sparse_tensor.positions %[[TMP_arg2]] {level = 1 : index} : tensor<4x4xf64, #sparse_tensor -// CHECK: %[[TMP_18:.*]] = sparse_tensor.coordinates %[[TMP_arg2]] {level = 1 : index} : tensor<4x4xf64, #sparse_tensor -// CHECK: %[[TMP_19:.*]] = sparse_tensor.values %[[TMP_arg2]] : tensor<4x4xf64, #sparse_tensor +// CHECK: %[[TMP_15:.*]] = sparse_tensor.positions %[[TMP_arg2]] {level = 0 : index} : tensor<4x4xf64, #sparse> +// CHECK: %[[TMP_16:.*]] = sparse_tensor.coordinates %[[TMP_arg2]] {level = 0 : index} : tensor<4x4xf64, #sparse> +// CHECK: %[[TMP_17:.*]] = sparse_tensor.positions %[[TMP_arg2]] {level = 1 : index} : tensor<4x4xf64, #sparse> +// CHECK: %[[TMP_18:.*]] = sparse_tensor.coordinates %[[TMP_arg2]] {level = 1 : index} : tensor<4x4xf64, #sparse> +// CHECK: %[[TMP_19:.*]] = sparse_tensor.values %[[TMP_arg2]] : tensor<4x4xf64, #sparse> // CHECK: %[[TMP_20:.*]] = memref.load %[[TMP_15]][%[[TMP_c0]]] : memref<?xindex> // CHECK: %[[TMP_21:.*]] = memref.load %[[TMP_15]][%[[TMP_c1]]] : memref<?xindex> // CHECK: %[[RET_3:.*]] = scf.for %[[TMP_arg3:.*]] = %[[TMP_20]] to %[[TMP_21]] step %[[TMP_c1]] iter_args(%[[A4:.*]] = %[[RET_2]]) @@ -72,13 +72,13 @@ // CHECK: %[[TMP_27:.*]] = memref.load %[[TMP_18]][%[[TMP_arg4]]] : memref<?xindex> // CHECK: %[[TMP_28:.*]] = memref.load %[[TMP_19]][%[[TMP_arg4]]] : memref<?xf64> // CHECK: %[[TMP_29:.*]] = arith.addi %[[TMP_23]], %[[TMP_c5]] : index -// CHECK: %[[NEW_3:.*]] = tensor.insert %[[TMP_28]] into %[[A5]][%[[TMP_29]], %[[TMP_27]]] : tensor<9x4xf64, #sparse_tensor +// CHECK: %[[NEW_3:.*]] = tensor.insert %[[TMP_28]] into %[[A5]][%[[TMP_29]], %[[TMP_27]]] : tensor<9x4xf64, #sparse> // CHECK: scf.yield %[[NEW_3]] // CHECK: } // CHECK: scf.yield %[[RET_6]] // CHECK: } // CHECK: %[[TMP_23:.*]] = sparse_tensor.load %[[RET_3]] hasInserts -// CHECK: return %[[TMP_23]] : tensor<9x4xf64, #sparse_tensor +// CHECK: return %[[TMP_23]] : tensor<9x4xf64, #sparse> func.func @concat_sparse_sparse(%arg0: tensor<2x4xf64, #DCSR>, %arg1: tensor<3x4xf64, #DCSR>, %arg2: tensor<4x4xf64, #DCSR>) @@ -91,21 +91,21 @@ func.func @concat_sparse_sparse(%arg0: tensor<2x4xf64, #DCSR>, } // CHECK-LABEL: @concat_sparse_sparse_dynamic( -// CHECK-SAME: %[[TMP_arg0:.*]]: tensor<2x4xf64, #sparse_tensor -// CHECK-SAME: %[[TMP_arg1:.*]]: tensor<3x4xf64, #sparse_tensor -// CHECK-SAME: %[[TMP_arg2:.*]]: tensor<4x4xf64, #sparse_tensor +// CHECK-SAME: %[[TMP_arg0:.*]]: tensor<2x4xf64, #sparse> +// CHECK-SAME: %[[TMP_arg1:.*]]: tensor<3x4xf64, #sparse> +// CHECK-SAME: %[[TMP_arg2:.*]]: tensor<4x4xf64, #sparse> // CHECK-DAG: %[[TMP_c0:.*]] = arith.constant 0 : index // CHECK-DAG: %[[TMP_c1:.*]] = arith.constant 1 : index // CHECK-DAG: %[[TMP_c5:.*]] = arith.constant 5 : index // CHECK-DAG: %[[TMP_c2:.*]] = arith.constant 2 : index // CHECK-DAG: %[[TMP_c9:.*]] = arith.constant 9 : index // CHECK-DAG: %[[TMP_c4:.*]] = arith.constant 4 : index -// CHECK: %[[TMP_0:.*]] = bufferization.alloc_tensor(%[[TMP_c9]], %[[TMP_c4]]) : tensor<?x?xf64, #sparse_tensor -// CHECK: %[[TMP_1:.*]] = sparse_tensor.positions %[[TMP_arg0]] {level = 0 : index} : tensor<2x4xf64, #sparse_tensor -// CHECK: %[[TMP_2:.*]] = sparse_tensor.coordinates %[[TMP_arg0]] {level = 0 : index} : tensor<2x4xf64, #sparse_tensor -// CHECK: %[[TMP_3:.*]] = sparse_tensor.positions %[[TMP_arg0]] {level = 1 : index} : tensor<2x4xf64, #sparse_tensor -// CHECK: %[[TMP_4:.*]] = sparse_tensor.coordinates %[[TMP_arg0]] {level = 1 : index} : tensor<2x4xf64, #sparse_tensor -// CHECK: %[[TMP_5:.*]] = sparse_tensor.values %[[TMP_arg0]] : tensor<2x4xf64, #sparse_tensor +// CHECK: %[[TMP_0:.*]] = bufferization.alloc_tensor(%[[TMP_c9]], %[[TMP_c4]]) : tensor<?x?xf64, #sparse> +// CHECK: %[[TMP_1:.*]] = sparse_tensor.positions %[[TMP_arg0]] {level = 0 : index} : tensor<2x4xf64, #sparse> +// CHECK: %[[TMP_2:.*]] = sparse_tensor.coordinates %[[TMP_arg0]] {level = 0 : index} : tensor<2x4xf64, #sparse> +// CHECK: %[[TMP_3:.*]] = sparse_tensor.positions %[[TMP_arg0]] {level = 1 : index} : tensor<2x4xf64, #sparse> +// CHECK: %[[TMP_4:.*]] = sparse_tensor.coordinates %[[TMP_arg0]] {level = 1 : index} : tensor<2x4xf64, #sparse> +// CHECK: %[[TMP_5:.*]] = sparse_tensor.values %[[TMP_arg0]] : tensor<2x4xf64, #sparse> // CHECK: %[[TMP_6:.*]] = memref.load %[[TMP_1]][%[[TMP_c0]]] : memref<?xindex> // CHECK: %[[TMP_7:.*]] = memref.load %[[TMP_1]][%[[TMP_c1]]] : memref<?xindex> // CHECK: %[[RET_1:.*]] = scf.for %[[TMP_arg3:.*]] = %[[TMP_6]] to %[[TMP_7]] step %[[TMP_c1]] iter_args(%[[A0:.*]] = %[[TMP_0]]) @@ -116,16 +116,16 @@ func.func @concat_sparse_sparse(%arg0: tensor<2x4xf64, #DCSR>, // CHECK: %[[RET_4:.*]] = scf.for %[[TMP_arg4:.*]] = %[[TMP_25]] to %[[TMP_26]] step %[[TMP_c1]] iter_args(%[[A1:.*]] = %[[A0]]) // CHECK: %[[TMP_27:.*]] = memref.load %[[TMP_4]][%[[TMP_arg4]]] : memref<?xindex> // CHECK: %[[TMP_28:.*]] = memref.load %[[TMP_5]][%[[TMP_arg4]]] : memref<?xf64> -// CHECK: %[[NEW_1:.*]] = tensor.insert %[[TMP_28]] into %[[A1]][%[[TMP_23]], %[[TMP_27]]] : tensor<?x?xf64, #sparse_tensor +// CHECK: %[[NEW_1:.*]] = tensor.insert %[[TMP_28]] into %[[A1]][%[[TMP_23]], %[[TMP_27]]] : tensor<?x?xf64, #sparse> // CHECK: scf.yield %[[NEW_1]] // CHECK: } // CHECK: scf.yield %[[RET_4]] // CHECK: } -// CHECK: %[[TMP_8:.*]] = sparse_tensor.positions %[[TMP_arg1]] {level = 0 : index} : tensor<3x4xf64, #sparse_tensor -// CHECK: %[[TMP_9:.*]] = sparse_tensor.coordinates %[[TMP_arg1]] {level = 0 : index} : tensor<3x4xf64, #sparse_tensor -// CHECK: %[[TMP_10:.*]] = sparse_tensor.positions %[[TMP_arg1]] {level = 1 : index} : tensor<3x4xf64, #sparse_tensor -// CHECK: %[[TMP_11:.*]] = sparse_tensor.coordinates %[[TMP_arg1]] {level = 1 : index} : tensor<3x4xf64, #sparse_tensor -// CHECK: %[[TMP_12:.*]] = sparse_tensor.values %[[TMP_arg1]] : tensor<3x4xf64, #sparse_tensor +// CHECK: %[[TMP_8:.*]] = sparse_tensor.positions %[[TMP_arg1]] {level = 0 : index} : tensor<3x4xf64, #sparse> +// CHECK: %[[TMP_9:.*]] = sparse_tensor.coordinates %[[TMP_arg1]] {level = 0 : index} : tensor<3x4xf64, #sparse> +// CHECK: %[[TMP_10:.*]] = sparse_tensor.positions %[[TMP_arg1]] {level = 1 : index} : tensor<3x4xf64, #sparse> +// CHECK: %[[TMP_11:.*]] = sparse_tensor.coordinates %[[TMP_arg1]] {level = 1 : index} : tensor<3x4xf64, #sparse> +// CHECK: %[[TMP_12:.*]] = sparse_tensor.values %[[TMP_arg1]] : tensor<3x4xf64, #sparse> // CHECK: %[[TMP_13:.*]] = memref.load %[[TMP_8]][%[[TMP_c0]]] : memref<?xindex> // CHECK: %[[TMP_14:.*]] = memref.load %[[TMP_8]][%[[TMP_c1]]] : memref<?xindex> // CHECK: %[[RET_2:.*]] = scf.for %[[TMP_arg3:.*]] = %[[TMP_13]] to %[[TMP_14]] step %[[TMP_c1]] iter_args(%[[A2:.*]] = %[[RET_1]]) @@ -137,16 +137,16 @@ func.func @concat_sparse_sparse(%arg0: tensor<2x4xf64, #DCSR>, // CHECK: %[[TMP_27:.*]] = memref.load %[[TMP_11]][%[[TMP_arg4]]] : memref<?xindex> // CHECK: %[[TMP_28:.*]] = memref.load %[[TMP_12]][%[[TMP_arg4]]] : memref<?xf64> // CHECK: %[[TMP_29:.*]] = arith.addi %[[TMP_23]], %[[TMP_c2]] : index -// CHECK: %[[NEW_2:.*]] = tensor.insert %[[TMP_28]] into %[[A3]][%[[TMP_29]], %[[TMP_27]]] : tensor<?x?xf64, #sparse_tensor +// CHECK: %[[NEW_2:.*]] = tensor.insert %[[TMP_28]] into %[[A3]][%[[TMP_29]], %[[TMP_27]]] : tensor<?x?xf64, #sparse> // CHECK: scf.yield %[[NEW_2]] // CHECK: } // CHECK: scf.yield %[[RET_5]] // CHECK: } -// CHECK: %[[TMP_15:.*]] = sparse_tensor.positions %[[TMP_arg2]] {level = 0 : index} : tensor<4x4xf64, #sparse_tensor -// CHECK: %[[TMP_16:.*]] = sparse_tensor.coordinates %[[TMP_arg2]] {level = 0 : index} : tensor<4x4xf64, #sparse_tensor -// CHECK: %[[TMP_17:.*]] = sparse_tensor.positions %[[TMP_arg2]] {level = 1 : index} : tensor<4x4xf64, #sparse_tensor -// CHECK: %[[TMP_18:.*]] = sparse_tensor.coordinates %[[TMP_arg2]] {level = 1 : index} : tensor<4x4xf64, #sparse_tensor -// CHECK: %[[TMP_19:.*]] = sparse_tensor.values %[[TMP_arg2]] : tensor<4x4xf64, #sparse_tensor +// CHECK: %[[TMP_15:.*]] = sparse_tensor.positions %[[TMP_arg2]] {level = 0 : index} : tensor<4x4xf64, #sparse> +// CHECK: %[[TMP_16:.*]] = sparse_tensor.coordinates %[[TMP_arg2]] {level = 0 : index} : tensor<4x4xf64, #sparse> +// CHECK: %[[TMP_17:.*]] = sparse_tensor.positions %[[TMP_arg2]] {level = 1 : index} : tensor<4x4xf64, #sparse> +// CHECK: %[[TMP_18:.*]] = sparse_tensor.coordinates %[[TMP_arg2]] {level = 1 : index} : tensor<4x4xf64, #sparse> +// CHECK: %[[TMP_19:.*]] = sparse_tensor.values %[[TMP_arg2]] : tensor<4x4xf64, #sparse> // CHECK: %[[TMP_20:.*]] = memref.load %[[TMP_15]][%[[TMP_c0]]] : memref<?xindex> // CHECK: %[[TMP_21:.*]] = memref.load %[[TMP_15]][%[[TMP_c1]]] : memref<?xindex> // CHECK: %[[RET_3:.*]] = scf.for %[[TMP_arg3:.*]] = %[[TMP_20]] to %[[TMP_21]] step %[[TMP_c1]] iter_args(%[[A4:.*]] = %[[RET_2]]) @@ -158,13 +158,13 @@ func.func @concat_sparse_sparse(%arg0: tensor<2x4xf64, #DCSR>, // CHECK: %[[TMP_27:.*]] = memref.load %[[TMP_18]][%[[TMP_arg4]]] : memref<?xindex> // CHECK: %[[TMP_28:.*]] = memref.load %[[TMP_19]][%[[TMP_arg4]]] : memref<?xf64> // CHECK: %[[TMP_29:.*]] = arith.addi %[[TMP_23]], %[[TMP_c5]] : index -// CHECK: %[[NEW_3:.*]] = tensor.insert %[[TMP_28]] into %[[A5]][%[[TMP_29]], %[[TMP_27]]] : tensor<?x?xf64, #sparse_tensor +// CHECK: %[[NEW_3:.*]] = tensor.insert %[[TMP_28]] into %[[A5]][%[[TMP_29]], %[[TMP_27]]] : tensor<?x?xf64, #sparse> // CHECK: scf.yield %[[NEW_3]] // CHECK: } // CHECK: scf.yield %[[RET_6]] // CHECK: } // CHECK: %[[TMP_23:.*]] = sparse_tensor.load %[[RET_3]] hasInserts -// CHECK: return %[[TMP_23]] : tensor<?x?xf64, #sparse_tensor +// CHECK: return %[[TMP_23]] : tensor<?x?xf64, #sparse> func.func @concat_sparse_sparse_dynamic(%arg0: tensor<2x4xf64, #DCSR>, %arg1: tensor<3x4xf64, #DCSR>, %arg2: tensor<4x4xf64, #DCSR>) @@ -177,9 +177,9 @@ func.func @concat_sparse_sparse_dynamic(%arg0: tensor<2x4xf64, #DCSR>, } // CHECK-LABEL: func.func @concat_sparse_sparse_dense( -// CHECK-SAME: %[[VAL_0:.*]]: tensor<2x4xf64, #sparse_tensor -// CHECK-SAME: %[[VAL_1:.*]]: tensor<3x4xf64, #sparse_tensor -// CHECK-SAME: %[[VAL_2:.*]]: tensor<4x4xf64, #sparse_tensor +// CHECK-SAME: %[[VAL_0:.*]]: tensor<2x4xf64, #sparse> +// CHECK-SAME: %[[VAL_1:.*]]: tensor<3x4xf64, #sparse> +// CHECK-SAME: %[[VAL_2:.*]]: tensor<4x4xf64, #sparse> // CHECK-DAG: %[[VAL_3:.*]] = arith.constant 4 : index // CHECK-DAG: %[[VAL_4:.*]] = arith.constant 9 : index // CHECK-DAG: %[[VAL_5:.*]] = arith.constant 5 : index @@ -189,11 +189,11 @@ func.func @concat_sparse_sparse_dynamic(%arg0: tensor<2x4xf64, #DCSR>, // CHECK-DAG: %[[VAL_9:.*]] = arith.constant 2 : index // CHECK: %[[VAL_10:.*]] = bufferization.alloc_tensor(%[[VAL_4]], %[[VAL_3]]) : tensor<?x?xf64> // CHECK: %[[VAL_11:.*]] = linalg.fill ins(%[[VAL_6]] : f64) outs(%[[VAL_10]] : tensor<?x?xf64>) -> tensor<?x?xf64> -// CHECK: %[[VAL_12:.*]] = sparse_tensor.positions %[[VAL_0]] {level = 0 : index} : tensor<2x4xf64, #sparse_tensor -// CHECK: %[[VAL_13:.*]] = sparse_tensor.coordinates %[[VAL_0]] {level = 0 : index} : tensor<2x4xf64, #sparse_tensor -// CHECK: %[[VAL_14:.*]] = sparse_tensor.positions %[[VAL_0]] {level = 1 : index} : tensor<2x4xf64, #sparse_tensor -// CHECK: %[[VAL_15:.*]] = sparse_tensor.coordinates %[[VAL_0]] {level = 1 : index} : tensor<2x4xf64, #sparse_tensor -// CHECK: %[[VAL_16:.*]] = sparse_tensor.values %[[VAL_0]] : tensor<2x4xf64, #sparse_tensor +// CHECK: %[[VAL_12:.*]] = sparse_tensor.positions %[[VAL_0]] {level = 0 : index} : tensor<2x4xf64, #sparse> +// CHECK: %[[VAL_13:.*]] = sparse_tensor.coordinates %[[VAL_0]] {level = 0 : index} : tensor<2x4xf64, #sparse> +// CHECK: %[[VAL_14:.*]] = sparse_tensor.positions %[[VAL_0]] {level = 1 : index} : tensor<2x4xf64, #sparse> +// CHECK: %[[VAL_15:.*]] = sparse_tensor.coordinates %[[VAL_0]] {level = 1 : index} : tensor<2x4xf64, #sparse> +// CHECK: %[[VAL_16:.*]] = sparse_tensor.values %[[VAL_0]] : tensor<2x4xf64, #sparse> // CHECK: %[[VAL_17:.*]] = memref.load %[[VAL_12]]{{\[}}%[[VAL_7]]] : memref<?xindex> // CHECK: %[[VAL_18:.*]] = memref.load %[[VAL_12]]{{\[}}%[[VAL_8]]] : memref<?xindex> // CHECK: %[[VAL_19:.*]] = scf.for %[[VAL_20:.*]] = %[[VAL_17]] to %[[VAL_18]] step %[[VAL_8]] iter_args(%[[VAL_21:.*]] = %[[VAL_11]]) -> (tensor<?x?xf64>) { @@ -209,11 +209,11 @@ func.func @concat_sparse_sparse_dynamic(%arg0: tensor<2x4xf64, #DCSR>, // CHECK: } // CHECK: scf.yield %[[VAL_26]] : tensor<?x?xf64> // CHECK: } -// CHECK: %[[VAL_32:.*]] = sparse_tensor.positions %[[VAL_1]] {level = 0 : index} : tensor<3x4xf64, #sparse_tensor -// CHECK: %[[VAL_33:.*]] = sparse_tensor.coordinates %[[VAL_1]] {level = 0 : index} : tensor<3x4xf64, #sparse_tensor -// CHECK: %[[VAL_34:.*]] = sparse_tensor.positions %[[VAL_1]] {level = 1 : index} : tensor<3x4xf64, #sparse_tensor -// CHECK: %[[VAL_35:.*]] = sparse_tensor.coordinates %[[VAL_1]] {level = 1 : index} : tensor<3x4xf64, #sparse_tensor -// CHECK: %[[VAL_36:.*]] = sparse_tensor.values %[[VAL_1]] : tensor<3x4xf64, #sparse_tensor +// CHECK: %[[VAL_32:.*]] = sparse_tensor.positions %[[VAL_1]] {level = 0 : index} : tensor<3x4xf64, #sparse> +// CHECK: %[[VAL_33:.*]] = sparse_tensor.coordinates %[[VAL_1]] {level = 0 : index} : tensor<3x4xf64, #sparse> +// CHECK: %[[VAL_34:.*]] = sparse_tensor.positions %[[VAL_1]] {level = 1 : index} : tensor<3x4xf64, #sparse> +// CHECK: %[[VAL_35:.*]] = sparse_tensor.coordinates %[[VAL_1]] {level = 1 : index} : tensor<3x4xf64, #sparse> +// CHECK: %[[VAL_36:.*]] = sparse_tensor.values %[[VAL_1]] : tensor<3x4xf64, #sparse> // CHECK: %[[VAL_37:.*]] = memref.load %[[VAL_32]]{{\[}}%[[VAL_7]]] : memref<?xindex> // CHECK: %[[VAL_38:.*]] = memref.load %[[VAL_32]]{{\[}}%[[VAL_8]]] : memref<?xindex> // CHECK: %[[VAL_39:.*]] = scf.for %[[VAL_40:.*]] = %[[VAL_37]] to %[[VAL_38]] step %[[VAL_8]] iter_args(%[[VAL_41:.*]] = %[[VAL_19]]) -> (tensor<?x?xf64>) { @@ -230,11 +230,11 @@ func.func @concat_sparse_sparse_dynamic(%arg0: tensor<2x4xf64, #DCSR>, // CHECK: } // CHECK: scf.yield %[[VAL_46]] : tensor<?x?xf64> // CHECK: } -// CHECK: %[[VAL_53:.*]] = sparse_tensor.positions %[[VAL_2]] {level = 0 : index} : tensor<4x4xf64, #sparse_tensor -// CHECK: %[[VAL_54:.*]] = sparse_tensor.coordinates %[[VAL_2]] {level = 0 : index} : tensor<4x4xf64, #sparse_tensor -// CHECK: %[[VAL_55:.*]] = sparse_tensor.positions %[[VAL_2]] {level = 1 : index} : tensor<4x4xf64, #sparse_tensor -// CHECK: %[[VAL_56:.*]] = sparse_tensor.coordinates %[[VAL_2]] {level = 1 : index} : tensor<4x4xf64, #sparse_tensor -// CHECK: %[[VAL_57:.*]] = sparse_tensor.values %[[VAL_2]] : tensor<4x4xf64, #sparse_tensor +// CHECK: %[[VAL_53:.*]] = sparse_tensor.positions %[[VAL_2]] {level = 0 : index} : tensor<4x4xf64, #sparse> +// CHECK: %[[VAL_54:.*]] = sparse_tensor.coordinates %[[VAL_2]] {level = 0 : index} : tensor<4x4xf64, #sparse> +// CHECK: %[[VAL_55:.*]] = sparse_tensor.positions %[[VAL_2]] {level = 1 : index} : tensor<4x4xf64, #sparse> +// CHECK: %[[VAL_56:.*]] = sparse_tensor.coordinates %[[VAL_2]] {level = 1 : index} : tensor<4x4xf64, #sparse> +// CHECK: %[[VAL_57:.*]] = sparse_tensor.values %[[VAL_2]] : tensor<4x4xf64, #sparse> // CHECK: %[[VAL_58:.*]] = memref.load %[[VAL_53]]{{\[}}%[[VAL_7]]] : memref<?xindex> // CHECK: %[[VAL_59:.*]] = memref.load %[[VAL_53]]{{\[}}%[[VAL_8]]] : memref<?xindex> // CHECK: %[[VAL_60:.*]] = scf.for %[[VAL_61:.*]] = %[[VAL_58]] to %[[VAL_59]] step %[[VAL_8]] iter_args(%[[VAL_62:.*]] = %[[VAL_39]]) -> (tensor<?x?xf64>) { |