diff --git a/mindspore/ccsrc/pipeline/jit/static_analysis/prim.cc b/mindspore/ccsrc/pipeline/jit/static_analysis/prim.cc
index fae6f032286..01d66244f0e 100644
--- a/mindspore/ccsrc/pipeline/jit/static_analysis/prim.cc
+++ b/mindspore/ccsrc/pipeline/jit/static_analysis/prim.cc
@@ -90,6 +90,16 @@ mindspore::HashSet<std::string> prims_use_sequence_elements{
   prim::kPrimSparseTensorDenseMatmul->name(),
   prim::kPrimBroadcast->name(),
   prim::kPrimEinsumGrad->name(),
+  prim::kPrimFlattenGrad->name(),
+  prim::kPrimMirror->name(),
+  prim::kPrimMirrorMiniStep->name(),
+  prim::kPrimMiniStepAllGather->name(),
+  prim::kPrimMicroStepAllGather->name(),
+  prim::kPrimVirtualDiv->name(),
+  prim::kPrimVirtualAdd->name(),
+  prim::kPrimVirtualDataset->name(),
+  prim::kPrimVirtualOutput->name(),
+  prim::kPrimFill->name(),
   "InvertPermutation",
   "Meshgrid",
   "TransShape",
diff --git a/mindspore/core/abstract/prim_arrays.cc b/mindspore/core/abstract/prim_arrays.cc
index 1bb34566163..f8f6e669175 100644
--- a/mindspore/core/abstract/prim_arrays.cc
+++ b/mindspore/core/abstract/prim_arrays.cc
@@ -1369,6 +1369,8 @@ AbstractBasePtr InferImplDynamicStitch(const AnalysisEnginePtr &, const Primitiv
     min_shape[0] = 1;
     max_shape[0] = indices_total_size * EXPAND_MAX;
   }
+  SetSequenceElementsUseFlags(input_tuple, true);
+  SetSequenceElementsUseFlags(input_tuple_1, true);
   return std::make_shared<AbstractTensor>(infer_type,
                                           std::make_shared<abstract::Shape>(out_shape, min_shape, max_shape));
 }
@@ -1379,6 +1381,9 @@ AbstractBasePtr InferImplTensorCopySlices(const AnalysisEnginePtr &, const Primi
   constexpr auto kTensorCopySlicesInputNum = 5;
   CheckArgsSize(op_name, args_spec_list, kTensorCopySlicesInputNum);
   AbstractTensorPtr input = CheckArg<AbstractTensor>(op_name, args_spec_list, 0);
+  for (size_t i = 2; i < args_spec_list.size(); ++i) {
+    SetSequenceElementsUseFlags(args_spec_list[i], true);
+  }
   return std::make_shared<AbstractTensor>(input->element(), input->shape());
 }
 }  // namespace abstract