format generic op

Signed-off-by: hanhanW <[email protected]>

Author: hanhanW

mlir/test/Dialect/Linalg/canonicalize.mlir

@@ -657,7 +657,11 @@ func.func @cast_dest(%arg0: tensor<?x?x?xf32>, %arg1: tensor<1x?x?xf32>, %arg2:
 // CHECK-SAME:    %[[ARG1:[a-zA-Z0-9]+]]
 func.func @static_shape_inference_with_encoding(%arg0: tensor<?x?xf32, #sparse>, %arg1: tensor<?x?xf32>) -> tensor<3x4xf32> {
   %0 = tensor.empty() : tensor<3x4xf32>
-  %1 = linalg.generic {indexing_maps = [#map, #map, #map], iterator_types = ["parallel", "parallel"]} ins(%arg0, %arg1 : tensor<?x?xf32, #sparse>, tensor<?x?xf32>) outs(%0 : tensor<3x4xf32>) {
+  %1 = linalg.generic {
+    indexing_maps = [#map, #map, #map],
+    iterator_types = ["parallel", "parallel"]
+  } ins(%arg0, %arg1 : tensor<?x?xf32, #sparse>, tensor<?x?xf32>)
+    outs(%0 : tensor<3x4xf32>) {
   ^bb0(%in: f32, %in_0: f32, %out: f32):
     %2 = arith.addf %in, %in_0 : f32
     linalg.yield %2 : f32