diff --git a/python/tvm/relay/expr.py b/python/tvm/relay/expr.py
index 8461885b38ce..811e205fb2b3 100644
--- a/python/tvm/relay/expr.py
+++ b/python/tvm/relay/expr.py
@@ -549,6 +549,9 @@ class StorageInfo(Node):
     type of the "virtual devices" the expressions are stored on,
     and the sizes of each storage element."""
 
+    def __init__(self, sids, dev_types, sizes):
+        self.__init_handle_by_constructor__(_ffi_api.StorageInfo, sids, dev_types, sizes)
+
     @property
     def storage_ids(self):
         return _ffi_api.StorageInfoStorageIds(self)
@@ -560,3 +563,13 @@ def device_types(self):
     @property
     def storage_sizes(self):
         return _ffi_api.StorageInfoStorageSizes(self)
+
+
+@tvm._ffi.register_object("relay.StaticMemoryPlan")
+class StaticMemoryPlan(Node):
+    """StaticMemoryPlan
+
+    The result of static memory planning."""
+
+    def __init__(self, expr_to_storage_info):
+        self.__init_handle_by_constructor__(_ffi_api.StaticMemoryPlan, expr_to_storage_info)
diff --git a/python/tvm/relay/op/op_attrs.py b/python/tvm/relay/op/op_attrs.py
index 507dd9371a97..8fd46817b817 100644
--- a/python/tvm/relay/op/op_attrs.py
+++ b/python/tvm/relay/op/op_attrs.py
@@ -74,6 +74,11 @@ class DenseAttrs(Attrs):
     """Attributes for nn.dense"""
 
 
+@tvm._ffi.register_object("relay.attrs.DensePackAttrs")
+class DensePackAttrs(Attrs):
+    """Attributes for nn.contrib_dense_pack"""
+
+
 @tvm._ffi.register_object("relay.attrs.BatchMatmulAttrs")
 class BatchMatmulAttrs(Attrs):
     """Attributes for nn.batch_matmul"""
diff --git a/src/relay/backend/utils.cc b/src/relay/backend/utils.cc
index ea0ab093aa1d..07dfe1768790 100644
--- a/src/relay/backend/utils.cc
+++ b/src/relay/backend/utils.cc
@@ -41,6 +41,23 @@ StorageInfo::StorageInfo(std::vector<int64_t> storage_ids, std::vector<DLDeviceT
   data_ = std::move(n);
 }
 
+TVM_REGISTER_GLOBAL("relay.ir.StorageInfo")
+    .set_body_typed([](const Array<Integer>& sids, const Array<Integer>& dev_types,
+                       const Array<Integer>& sizes_in_bytes) {
+      std::vector<int64_t> sids_v, sizes_v;
+      std::vector<DLDeviceType> dev_types_v;
+      for (auto s : sids) {
+        sids_v.push_back(s);
+      }
+      for (auto d : dev_types) {
+        dev_types_v.push_back(static_cast<DLDeviceType>(static_cast<int64_t>(d)));
+      }
+      for (auto s : sizes_in_bytes) {
+        sizes_v.push_back(s);
+      }
+      return StorageInfo(sids_v, dev_types_v, sizes_v);
+    });
+
 TVM_REGISTER_GLOBAL("relay.ir.StorageInfoStorageIds").set_body_typed([](StorageInfo si) {
   Array<tvm::Integer> ids;
   for (auto id : si->storage_ids) {
@@ -73,6 +90,11 @@ StaticMemoryPlan::StaticMemoryPlan(Map<Expr, StorageInfo> expr_to_storage_info)
   data_ = std::move(n);
 }
 
+TVM_REGISTER_GLOBAL("relay.ir.StaticMemoryPlan")
+    .set_body_typed([](const Map<Expr, StorageInfo>& expr_to_storage_info) {
+      return StaticMemoryPlan(expr_to_storage_info);
+    });
+
 int64_t CalculateRelayExprSizeBytes(const Type& expr_type) {
   if (expr_type->IsInstance<TupleTypeNode>()) {
     auto tuple_type = Downcast<TupleType>(expr_type);