fixup! [mlir][nfc] Update vectorize-tensor-extract.mlir (3/N)

Add DAG to FileCHeck prefixes

Author: banach-space

mlir/test/Dialect/Linalg/vectorize-tensor-extract.mlir

@@ -572,10 +572,10 @@ func.func @vectorize_nd_tensor_extract_scalar_broadcast(%src: tensor<3x3xf32>, %
 // CHECK-LABEL:   func.func @vectorize_nd_tensor_extract_scalar_broadcast(
 // CHECK-SAME:      %[[SRC:.*]]: tensor<3x3xf32>,
 // CHECK-SAME:      %[[INIT:.*]]: tensor<1x1x3xf32>) -> tensor<1x1x3xf32> {
-// CHECK:           %[[C0:.*]] = arith.constant 0 : index
-// CHECK:           %[[C1:.*]] = arith.constant 1 : index
-// CHECK:           %[[C2:.*]] = arith.constant 2 : index
-// CHECK:           %[[PAD:.*]] = arith.constant 0.000000e+00 : f32
+// CHECK-DAG:       %[[C0:.*]] = arith.constant 0 : index
+// CHECK-DAG:       %[[C1:.*]] = arith.constant 1 : index
+// CHECK-DAG:       %[[C2:.*]] = arith.constant 2 : index
+// CHECK-DAG:       %[[PAD:.*]] = arith.constant 0.000000e+00 : f32
 // CHECK:           %[[READ:.*]] = vector.transfer_read %[[SRC]][%[[C1]], %[[C2]]], %[[PAD]] : tensor<3x3xf32>, vector<f32>
 // CHECK:           %[[READ_BCAST:.*]] = vector.broadcast %[[READ]] : vector<f32> to vector<1x1x3xf32>
 // CHECK:           vector.transfer_write %[[READ_BCAST]], %[[INIT]][%[[C0]], %[[C0]], %[[C0]]] {in_bounds = [true, true, true]} : vector<1x1x3xf32>, tensor<1x1x3xf32>
@@ -621,8 +621,8 @@ func.func @extract_scalar_from_0d_into_1d(%src: tensor<f32>, %init: tensor<1xf32
 // CHECK-LABEL:   func.func @extract_scalar_from_0d_into_1d(
 // CHECK-SAME:      %[[SRC:.*]]: tensor<f32>,
 // CHECK-SAME:      %[[INIT:.*]]: tensor<1xf32>) -> tensor<1xf32> {
-// CHECK:           %[[C0:.*]] = arith.constant 0 : index
-// CHECK:           %[[PAD:.*]] = arith.constant 0.000000e+00 : f32
+// CHECK-DAG:       %[[C0:.*]] = arith.constant 0 : index
+// CHECK-DAG:       %[[PAD:.*]] = arith.constant 0.000000e+00 : f32
 // CHECK:           %[[READ:.*]] = vector.transfer_read %[[SRC]][], %[[PAD]] : tensor<f32>, vector<f32>
 // CHECK:           %[[READ_BCAST:.*]] = vector.broadcast %[[READ]] : vector<f32> to vector<1xf32>
 // CHECK:           vector.transfer_write %[[READ_BCAST]], %[[INIT]][%[[C0]]] {in_bounds = [true]} : vector<1xf32>, tensor<1xf32>
@@ -670,10 +670,10 @@ func.func @scalar_read_with_broadcast_from_column_tensor(%init: tensor<1x1x4xi32
 
 // CHECK-LABEL:   func.func @scalar_read_with_broadcast_from_column_tensor
 // CHECK-SAME:      %[[INIT:.*]]: tensor<1x1x4xi32>) -> tensor<1x1x4xi32> {
-// CHECK:           %[[PAD:.*]] = arith.constant 0 : i32
-// CHECK:           %[[C0:.*]] = arith.constant 0 : index
-// CHECK:           %[[SRC:.*]] = arith.constant dense<{{\[\[}}0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14]]> : tensor<15x1xi32>
-// CHECK:           %[[IDX_VEC:.*]] = arith.constant dense<0> : vector<1xindex>
+// CHECK-DAG:       %[[PAD:.*]] = arith.constant 0 : i32
+// CHECK-DAG:       %[[C0:.*]] = arith.constant 0 : index
+// CHECK-DAG:       %[[SRC:.*]] = arith.constant dense<{{\[\[}}0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14]]> : tensor<15x1xi32>
+// CHECK-DAG:       %[[IDX_VEC:.*]] = arith.constant dense<0> : vector<1xindex>
 // CHECK:           %[[IDX_ELT:.*]] = vector.extract %[[IDX_VEC]][0] : index from vector<1xindex>
 // CHECK:           %[[READ:.*]] = vector.transfer_read %[[SRC]]{{\[}}%[[IDX_ELT]], %[[C0]]], %[[PAD]] : tensor<15x1xi32>, vector<i32>
 // CHECK:           %[[READ_BCAST:.*]] = vector.broadcast %[[READ]] : vector<i32> to vector<1x1x4xi32>