graph: backend: dnnl: fix code format

Author: ElaineBao

src/graph/backend/dnnl/kernels/sdp_primitive_config.cpp

@@ -55,9 +55,6 @@ status_t sdp_primitive_config_t::initial_check(
         VCHECK_SDP_PRIMITIVE(opk != graph::op_kind::Dequantize
                         && opk != graph::op_kind::Quantize,
                 status::unimplemented, "Not support quantized SDPA");
-        // SDPA with Dropout is currently unsupported in the ukernel.
-        VCHECK_SDP_PRIMITIVE(opk != graph::op_kind::Dropout, status::unimplemented,
-                "Not support SDPA with Dropout");
         if (opk == graph::op_kind::GenIndex) { has_genindex = true; }
     }
 

src/graph/backend/dnnl/passes/insert_ops.cpp

@@ -669,8 +669,9 @@ status_t insert_reshape_for_sdpa(std::shared_ptr<subgraph_t> &sg) {
         // Insert reshape for optional stats output (output 2)
         if (cur_op->get_attr<bool>(op_attr::is_training)) {
             auto stats_dims = ltw(cur_op->get_output_logical_tensor(2)).vdims();
-            dims expected_stats_dims = stats_dims;
-            op_ptr reshape_stats = std::make_shared<op_t>(op_kind::_reshape);
+            const dims &expected_stats_dims = stats_dims;
+            op_ptr reshape_stats
+                    = std::make_shared<op_t>(op_kind::dnnl_reshape);
             reshape_stats->set_attr<bool>(op_attr::special_zero, false);
             reshape_stats->set_attr<std::vector<int64_t>>(
                     op_attr::shape, expected_stats_dims);

src/graph/backend/dnnl/passes/transform.cpp

@@ -4773,7 +4773,7 @@ status_t fuse_sdpa_bwd(std::shared_ptr<subgraph_t> &sg) {
         if (cur_op->get_kind() != op_kind::dnnl_matmul) continue;
 
         // Step 1 – walk matmul_qk → [scale_pre] → [mask] → sub → exp
-        op_ptr matmul_qk = cur_op;
+        const op_ptr &matmul_qk = cur_op;
         op_ptr scale_pre = nullptr, mask_op = nullptr;
         op_ptr sub_op = nullptr, exp_op = nullptr;