diff options
Diffstat (limited to 'mlir/test/Dialect/SparseTensor/sparse_transpose.mlir')
| -rw-r--r-- | mlir/test/Dialect/SparseTensor/sparse_transpose.mlir | 32 |
1 files changed, 16 insertions, 16 deletions
diff --git a/mlir/test/Dialect/SparseTensor/sparse_transpose.mlir b/mlir/test/Dialect/SparseTensor/sparse_transpose.mlir index fd41fed..80a989d 100644 --- a/mlir/test/Dialect/SparseTensor/sparse_transpose.mlir +++ b/mlir/test/Dialect/SparseTensor/sparse_transpose.mlir @@ -16,34 +16,34 @@ // TODO: improve auto-conversion followed by yield // CHECK-LABEL: func.func @sparse_transpose_auto( -// CHECK-SAME: %[[VAL_0:.*]]: tensor<3x4xf64, #sparse_tensor.encoding<{{{.*}}}>>) -> tensor<4x3xf64, #sparse_tensor.encoding<{{{.*}}}>> { +// CHECK-SAME: %[[VAL_0:.*]]: tensor<3x4xf64, #sparse{{[0-9]*}}>) -> tensor<4x3xf64, #sparse{{[0-9]*}}> { // CHECK-DAG: %[[VAL_1:.*]] = arith.constant 0 : index // CHECK-DAG: %[[VAL_2:.*]] = arith.constant 1 : index -// CHECK-DAG: %[[VAL_3:.*]] = tensor.empty() : tensor<4x3xf64, #sparse_tensor.encoding<{{{.*}}}>> -// CHECK-DAG: %[[VAL_4:.*]] = sparse_tensor.convert %[[VAL_0]] : tensor<3x4xf64, #sparse_tensor.encoding<{{{.*}}}>> to tensor<3x4xf64, #sparse_tensor.encoding<{{{.*}}}>> -// CHECK: %[[DEMAP:.*]] = sparse_tensor.reinterpret_map %[[VAL_4]] : tensor<3x4xf64, #sparse_tensor.encoding<{{{.*}}}>> to tensor<4x3xf64, #sparse_tensor.encoding<{{{.*}}}>> -// CHECK-DAG: %[[VAL_5:.*]] = sparse_tensor.positions %[[DEMAP]] {level = 0 : index} : tensor<4x3xf64, #sparse_tensor.encoding<{{{.*}}}>> to memref<?xindex> -// CHECK-DAG: %[[VAL_6:.*]] = sparse_tensor.coordinates %[[DEMAP]] {level = 0 : index} : tensor<4x3xf64, #sparse_tensor.encoding<{{{.*}}}>> to memref<?xindex> -// CHECK-DAG: %[[VAL_7:.*]] = sparse_tensor.positions %[[DEMAP]] {level = 1 : index} : tensor<4x3xf64, #sparse_tensor.encoding<{{{.*}}}>> to memref<?xindex> -// CHECK-DAG: %[[VAL_8:.*]] = sparse_tensor.coordinates %[[DEMAP]] {level = 1 : index} : tensor<4x3xf64, #sparse_tensor.encoding<{{{.*}}}>> to memref<?xindex> -// CHECK-DAG: %[[VAL_9:.*]] = sparse_tensor.values %[[DEMAP]] : tensor<4x3xf64, #sparse_tensor.encoding<{{{.*}}}>> to memref<?xf64> +// CHECK-DAG: %[[VAL_3:.*]] = tensor.empty() : tensor<4x3xf64, #sparse{{[0-9]*}}> +// CHECK-DAG: %[[VAL_4:.*]] = sparse_tensor.convert %[[VAL_0]] : tensor<3x4xf64, #sparse{{[0-9]*}}> to tensor<3x4xf64, #sparse{{[0-9]*}}> +// CHECK: %[[DEMAP:.*]] = sparse_tensor.reinterpret_map %[[VAL_4]] : tensor<3x4xf64, #sparse{{[0-9]*}}> to tensor<4x3xf64, #sparse{{[0-9]*}}> +// CHECK-DAG: %[[VAL_5:.*]] = sparse_tensor.positions %[[DEMAP]] {level = 0 : index} : tensor<4x3xf64, #sparse{{[0-9]*}}> to memref<?xindex> +// CHECK-DAG: %[[VAL_6:.*]] = sparse_tensor.coordinates %[[DEMAP]] {level = 0 : index} : tensor<4x3xf64, #sparse{{[0-9]*}}> to memref<?xindex> +// CHECK-DAG: %[[VAL_7:.*]] = sparse_tensor.positions %[[DEMAP]] {level = 1 : index} : tensor<4x3xf64, #sparse{{[0-9]*}}> to memref<?xindex> +// CHECK-DAG: %[[VAL_8:.*]] = sparse_tensor.coordinates %[[DEMAP]] {level = 1 : index} : tensor<4x3xf64, #sparse{{[0-9]*}}> to memref<?xindex> +// CHECK-DAG: %[[VAL_9:.*]] = sparse_tensor.values %[[DEMAP]] : tensor<4x3xf64, #sparse{{[0-9]*}}> to memref<?xf64> // CHECK: %[[VAL_10:.*]] = memref.load %[[VAL_5]]{{\[}}%[[VAL_1]]] : memref<?xindex> // CHECK: %[[VAL_11:.*]] = memref.load %[[VAL_5]]{{\[}}%[[VAL_2]]] : memref<?xindex> -// CHECK: %[[VAL_12:.*]] = scf.for %[[VAL_13:.*]] = %[[VAL_10]] to %[[VAL_11]] step %[[VAL_2]] iter_args(%[[VAL_14:.*]] = %[[VAL_3]]) -> (tensor<4x3xf64, #sparse_tensor.encoding<{{{.*}}}>>) { +// CHECK: %[[VAL_12:.*]] = scf.for %[[VAL_13:.*]] = %[[VAL_10]] to %[[VAL_11]] step %[[VAL_2]] iter_args(%[[VAL_14:.*]] = %[[VAL_3]]) -> (tensor<4x3xf64, #sparse{{[0-9]*}}>) { // CHECK: %[[VAL_15:.*]] = memref.load %[[VAL_6]]{{\[}}%[[VAL_13]]] : memref<?xindex> // CHECK: %[[VAL_16:.*]] = memref.load %[[VAL_7]]{{\[}}%[[VAL_13]]] : memref<?xindex> // CHECK: %[[VAL_17:.*]] = arith.addi %[[VAL_13]], %[[VAL_2]] : index // CHECK: %[[VAL_18:.*]] = memref.load %[[VAL_7]]{{\[}}%[[VAL_17]]] : memref<?xindex> -// CHECK: %[[VAL_19:.*]] = scf.for %[[VAL_20:.*]] = %[[VAL_16]] to %[[VAL_18]] step %[[VAL_2]] iter_args(%[[VAL_21:.*]] = %[[VAL_14]]) -> (tensor<4x3xf64, #sparse_tensor.encoding<{{{.*}}}>>) { +// CHECK: %[[VAL_19:.*]] = scf.for %[[VAL_20:.*]] = %[[VAL_16]] to %[[VAL_18]] step %[[VAL_2]] iter_args(%[[VAL_21:.*]] = %[[VAL_14]]) -> (tensor<4x3xf64, #sparse{{[0-9]*}}>) { // CHECK: %[[VAL_22:.*]] = memref.load %[[VAL_8]]{{\[}}%[[VAL_20]]] : memref<?xindex> // CHECK: %[[VAL_23:.*]] = memref.load %[[VAL_9]]{{\[}}%[[VAL_20]]] : memref<?xf64> -// CHECK: %[[VAL_24:.*]] = sparse_tensor.insert %[[VAL_23]] into %[[VAL_21]]{{\[}}%[[VAL_15]], %[[VAL_22]]] : tensor<4x3xf64, #sparse_tensor.encoding<{{{.*}}}>> -// CHECK: scf.yield %[[VAL_24]] : tensor<4x3xf64, #sparse_tensor.encoding<{{{.*}}}>> +// CHECK: %[[VAL_24:.*]] = sparse_tensor.insert %[[VAL_23]] into %[[VAL_21]]{{\[}}%[[VAL_15]], %[[VAL_22]]] : tensor<4x3xf64, #sparse{{[0-9]*}}> +// CHECK: scf.yield %[[VAL_24]] : tensor<4x3xf64, #sparse{{[0-9]*}}> // CHECK: } -// CHECK: scf.yield %[[VAL_25:.*]] : tensor<4x3xf64, #sparse_tensor.encoding<{{{.*}}}>> +// CHECK: scf.yield %[[VAL_25:.*]] : tensor<4x3xf64, #sparse{{[0-9]*}}> // CHECK: } -// CHECK: %[[VAL_26:.*]] = sparse_tensor.load %[[VAL_27:.*]] hasInserts : tensor<4x3xf64, #sparse_tensor.encoding<{{{.*}}}>> -// CHECK: return %[[VAL_26]] : tensor<4x3xf64, #sparse_tensor.encoding<{{{.*}}}>> +// CHECK: %[[VAL_26:.*]] = sparse_tensor.load %[[VAL_27:.*]] hasInserts : tensor<4x3xf64, #sparse{{[0-9]*}}> +// CHECK: return %[[VAL_26]] : tensor<4x3xf64, #sparse{{[0-9]*}}> // CHECK: } func.func @sparse_transpose_auto(%arga: tensor<3x4xf64, #DCSR>) -> tensor<4x3xf64, #DCSR> { |