diff --git a/paddle/phi/core/infermeta_utils.cc b/paddle/phi/core/infermeta_utils.cc
index 4644420d4227efcf9d4630fd15bc0f876c4d75e9..d21232ed82296cb48af5c72a32264e5c8fd76085 100644
--- a/paddle/phi/core/infermeta_utils.cc
+++ b/paddle/phi/core/infermeta_utils.cc
@@ -83,6 +83,16 @@ MetaTensor* InferMetaContext::MutableOutputAt(size_t idx) {
   return outputs_.at(idx).get();
 }
 
+std::vector<MetaTensor> InferMetaContext::MutableOutputBetween(size_t start,
+                                                               size_t end) {
+  std::vector<MetaTensor> result;
+  result.reserve(end - start);
+  for (size_t i = start; i < end; ++i) {
+    result.emplace_back(*outputs_.at(i));
+  }
+  return result;
+}
+
 MetaFnFactory& MetaFnFactory::Instance() {
   static MetaFnFactory g_meta_fn_map;
   return g_meta_fn_map;
diff --git a/paddle/phi/core/infermeta_utils.h b/paddle/phi/core/infermeta_utils.h
index ad1f1b484885fc560221ab1099cdbc764c068d78..2b98ab22bcdbd43a1863c2d59d93e31c510368b8 100644
--- a/paddle/phi/core/infermeta_utils.h
+++ b/paddle/phi/core/infermeta_utils.h
@@ -52,6 +52,7 @@ class InferMetaContext {
   const MetaTensor& InputAt(size_t idx) const;
   std::vector<MetaTensor> InputsBetween(size_t start, size_t end) const;
   MetaTensor* MutableOutputAt(size_t idx);
+  std::vector<MetaTensor> MutableOutputBetween(size_t start, size_t end);
 
   template <typename AttrType>
   AttrType AttrAt(size_t idx) {
@@ -186,7 +187,20 @@ struct InferMetaFnImpl<Return (*)(Args...), infer_meta_fn> {
     }
   };
 
-  // TODO(chenweihang): support vector<MetaTensor> output later
+  template <typename... Tail>
+  struct InferMetaFnCallHelper<std::vector<MetaTensor>*, Tail...> {
+    template <int in_idx, int attr_idx, int out_idx, typename... PreviousArgs>
+    static void Call(InferMetaContext* ctx, PreviousArgs&... pargs) {
+      const std::pair<int, int> range = ctx->OutputRangeAt(out_idx);
+      std::vector<MetaTensor> tmp =
+          ctx->MutableOutputBetween(range.first, range.second);
+      std::vector<MetaTensor>* arg = &tmp;
+      InferMetaFnCallHelper<
+          Tail...>::template Call<in_idx, attr_idx, out_idx + 1>(ctx,
+                                                                 pargs...,
+                                                                 arg);
+    }
+  };
 
   template <typename... Tail>
   struct InferMetaFnCallHelper<MetaConfig, Tail...> {
diff --git a/paddle/phi/infermeta/unary.cc b/paddle/phi/infermeta/unary.cc
index a1d2c147d288bf42eece32ec7a16d77edd0072eb..2f01174dff9b34c56f3c59d861ca25d0ffbbc4f5 100644
--- a/paddle/phi/infermeta/unary.cc
+++ b/paddle/phi/infermeta/unary.cc
@@ -79,6 +79,13 @@ void CastInferMeta(const MetaTensor& x, DataType out_dtype, MetaTensor* out) {
   out->set_layout(x.layout());
 }
 
+void CopyToInferMeta(const MetaTensor& x,
+                     Backend backend,
+                     bool blocking,
+                     MetaTensor* out) {
+  UnchangedInferMeta(x, out);
+}
+
 void CreateLikeInferMeta(const MetaTensor& x, DataType dtype, MetaTensor* out) {
   out->set_dims(x.dims());
   out->set_dtype(dtype == DataType::UNDEFINED ? x.dtype() : dtype);
@@ -497,3 +504,6 @@ void TraceInferMeta(
 }
 
 }  // namespace phi
+
+PT_REGISTER_INFER_META_FN(copy_to, phi::CopyToInferMeta);
+PT_REGISTER_INFER_META_FN(split, phi::SplitInferMeta);
diff --git a/paddle/phi/infermeta/unary.h b/paddle/phi/infermeta/unary.h
index 83c2075b0b988b36a5b25a31e8b80cef85580de3..560ce0d2d4c489fb4537b426c6ca45a1407a2853 100644
--- a/paddle/phi/infermeta/unary.h
+++ b/paddle/phi/infermeta/unary.h
@@ -41,6 +41,11 @@ void FlattenInferMeta(const MetaTensor& x,
 
 void CastInferMeta(const MetaTensor& x, DataType out_dtype, MetaTensor* out);
 
+void CopyToInferMeta(const MetaTensor& x,
+                     Backend backend,
+                     bool blocking,
+                     MetaTensor* out);
+
 void CreateLikeInferMeta(const MetaTensor& x, DataType dtype, MetaTensor* out);
 
 void InferMetaFromVecValue(const MetaTensor& x,
diff --git a/paddle/phi/tests/core/test_meta_fn_utils.cc b/paddle/phi/tests/core/test_meta_fn_utils.cc
index 97d91f952f9addc127092d2f85e4c2e2f6e9cde4..f4288c2aa2f9418eeff489aa53fe685aa4a155ec 100644
--- a/paddle/phi/tests/core/test_meta_fn_utils.cc
+++ b/paddle/phi/tests/core/test_meta_fn_utils.cc
@@ -60,5 +60,62 @@ TEST(MetaFnFactory, InferMetaFnExists) {
   EXPECT_EQ(dense_out1.dims()[1], dense_out2.dims()[1]);
 }
 
+TEST(MetaFnFactory, CopyInferMetaFn) {
+  phi::DenseTensor dense_x;
+  dense_x.Resize({3, 4});
+
+  phi::MetaTensor meta_x(&dense_x);
+  phi::DenseTensor dense_out1;
+  phi::MetaTensor meta_out(&dense_out1);
+  phi::UnchangedInferMeta(meta_x, &meta_out);
+
+  auto shared_meat_x = std::make_shared<phi::MetaTensor>(&dense_x);
+  phi::DenseTensor dense_out2;
+  auto shared_meta_out = std::make_shared<phi::MetaTensor>(&dense_out2);
+
+  phi::InferMetaContext ctx;
+  ctx.EmplaceBackInput(shared_meat_x);
+  ctx.EmplaceBackAttr(Backend::CPU);
+  ctx.EmplaceBackAttr(false);
+  ctx.EmplaceBackOutput(shared_meta_out);
+  ctx.SetMetaConfig(/*is_runtime=*/true);
+  phi::MetaFnFactory::Instance().Get("copy_to")(&ctx);
+
+  EXPECT_EQ(dense_out1.dims().size(), dense_out2.dims().size());
+  EXPECT_EQ(dense_out1.dims()[0], dense_out2.dims()[0]);
+  EXPECT_EQ(dense_out1.dims()[1], dense_out2.dims()[1]);
+}
+
+TEST(MetaFnFactory, SplitInferMetaFn) {
+  phi::DenseTensor dense_x;
+  dense_x.Resize({4, 10});
+  phi::MetaTensor meta_x(&dense_x);
+  auto shared_meat_x = std::make_shared<phi::MetaTensor>(&dense_x);
+
+  phi::DenseTensor dense_out1;
+  phi::DenseTensor dense_out2;
+  paddle::SmallVector<std::shared_ptr<phi::MetaTensor>> out;
+  out.push_back(std::make_shared<phi::MetaTensor>(&dense_out1));
+  out.push_back(std::make_shared<phi::MetaTensor>(&dense_out2));
+
+  phi::InferMetaContext ctx;
+  ctx.EmplaceBackInput(shared_meat_x);
+  ScalarArray num_or_sections{2, 2};
+  Scalar axis{0};
+  ctx.EmplaceBackAttr(num_or_sections);
+  ctx.EmplaceBackAttr(axis);
+  ctx.EmplaceBackOutputs(out);
+  ctx.SetMetaConfig(/*is_runtime=*/true);
+  phi::MetaFnFactory::Instance().Get("split")(&ctx);
+
+  ASSERT_EQ(dense_out1.dims().size(), 2);
+  ASSERT_EQ(dense_out1.dims()[0], 2);
+  ASSERT_EQ(dense_out1.dims()[1], 10);
+
+  ASSERT_EQ(dense_out2.dims().size(), 2);
+  ASSERT_EQ(dense_out2.dims()[0], 2);
+  ASSERT_EQ(dense_out2.dims()[1], 10);
+}
+
 }  // namespace tests
 }  // namespace phi