[mlir][sparse] refine reinterpret_map test cases (llvm#72684)

Author: PeimingLiu

mlir/test/Dialect/SparseTensor/sparse_reinterpret_map.mlir

@@ -55,17 +55,19 @@ func.func @mul(%arg0: tensor<32x32xf32>,
       )
 }>
 
+// CHECK-DAG: #[[$remap:.*]] = #sparse_tensor.encoding<{ map = (d0, d1) -> (d0 floordiv 2 : dense, d1 floordiv 2 : compressed, d0 mod 2 : dense, d1 mod 2 : dense) }>
+// CHECK-DAG: #[[$demap:.*]] = #sparse_tensor.encoding<{ map = (d0, d1, d2, d3) -> (d0 : dense, d1 : compressed, d2 : dense, d3 : dense) }>
 // CHECK-LABEL:   func.func @sparse_foreach_reinterpret_map(
-// CHECK-SAME:      %[[VAL_0:.*]]: tensor<2x4xf64, #sparse{{[0-9]*}}>
-// CHECK:           %[[VAL_1:.*]] = bufferization.alloc_tensor() : tensor<1x2x2x2xf64, #sparse{{[0-9]*}}>
-// CHECK:           %[[VAL_2:.*]] = sparse_tensor.reinterpret_map %[[VAL_0]] : tensor<2x4xf64, #sparse{{[0-9]*}}>
+// CHECK-SAME:      %[[VAL_0:.*]]: tensor<2x4xf64, #[[$remap]]>
+// CHECK:           %[[VAL_1:.*]] = bufferization.alloc_tensor() : tensor<1x2x2x2xf64, #[[$demap]]>
+// CHECK:           %[[VAL_2:.*]] = sparse_tensor.reinterpret_map %[[VAL_0]] : tensor<2x4xf64, #[[$remap]]> to tensor<1x2x2x2xf64, #[[$demap]]>
 // CHECK:           %[[VAL_4:.*]] = sparse_tensor.foreach in %[[VAL_2]] init(%[[VAL_1]])
-// CHECK:           ^bb0(%[[VAL_5:.*]]: index, %[[VAL_6:.*]]: index, %[[VAL_7:.*]]: index, %[[VAL_8:.*]]: index, %[[VAL_9:.*]]: f64, %[[VAL_10:.*]]: tensor<1x2x2x2xf64, #sparse{{[0-9]*}}>
-// CHECK:             %[[VAL_11:.*]] = sparse_tensor.insert %[[VAL_9]] into %[[VAL_10]]{{\[}}%[[VAL_5]], %[[VAL_6]], %[[VAL_7]], %[[VAL_8]]] : tensor<1x2x2x2xf64, #sparse{{[0-9]*}}>
+// CHECK:           ^bb0(%[[VAL_5:.*]]: index, %[[VAL_6:.*]]: index, %[[VAL_7:.*]]: index, %[[VAL_8:.*]]: index, %[[VAL_9:.*]]: f64, %[[VAL_10:.*]]: tensor<1x2x2x2xf64, #[[$demap]]>
+// CHECK:             %[[VAL_11:.*]] = sparse_tensor.insert %[[VAL_9]] into %[[VAL_10]]{{\[}}%[[VAL_5]], %[[VAL_6]], %[[VAL_7]], %[[VAL_8]]] : tensor<1x2x2x2xf64, #[[$demap]]>
 // CHECK:             sparse_tensor.yield %[[VAL_11]] : tensor<1x2x2x2xf64, #sparse{{[0-9]*}}>
 // CHECK:           }
-// CHECK:           %[[VAL_12:.*]] = sparse_tensor.reinterpret_map %[[VAL_4]] : tensor<1x2x2x2xf64, #sparse{{[0-9]*}}>
-// CHECK:           %[[VAL_13:.*]] = sparse_tensor.load %[[VAL_12]] hasInserts : tensor<2x4xf64, #sparse{{[0-9]*}}>
+// CHECK:           %[[VAL_12:.*]] = sparse_tensor.reinterpret_map %[[VAL_4]] : tensor<1x2x2x2xf64, #[[$demap]]> to tensor<2x4xf64, #[[$remap]]>
+// CHECK:           %[[VAL_13:.*]] = sparse_tensor.load %[[VAL_12]] hasInserts : tensor<2x4xf64, #[[$remap]]>
 // CHECK:           return %[[VAL_13]] : tensor<2x4xf64, #sparse{{[0-9]*}}>
 // CHECK:         }
 func.func @sparse_foreach_reinterpret_map(%6 : tensor<2x4xf64, #BSR>) -> tensor<2x4xf64, #BSR> {