diff --git a/mindspore/ccsrc/device/ascend/ascend_memory_manager.cc b/mindspore/ccsrc/device/ascend/ascend_memory_manager.cc
index 560893ee51..4c7b897cac 100644
--- a/mindspore/ccsrc/device/ascend/ascend_memory_manager.cc
+++ b/mindspore/ccsrc/device/ascend/ascend_memory_manager.cc
@@ -21,8 +21,8 @@
 namespace mindspore {
 namespace device {
 namespace ascend {
-const uint64_t kAscendDeviceMemGB = 24;
-const uint64_t kAscendMemPoolGB = 6;
+const uint64_t kAscendDeviceMemGB = 26;
+const uint64_t kAscendMemPoolGB = 4;
 const uint64_t kAscendDeviceMemSize = (kAscendDeviceMemGB << 30);
 const uint64_t kAscendMemPoolSize = (kAscendMemPoolGB << 30);
 
diff --git a/mindspore/ccsrc/pre_activate/mem_reuse/mem_reuse_allocator.cc b/mindspore/ccsrc/pre_activate/mem_reuse/mem_reuse_allocator.cc
index 8a3647d980..649d34dfd2 100644
--- a/mindspore/ccsrc/pre_activate/mem_reuse/mem_reuse_allocator.cc
+++ b/mindspore/ccsrc/pre_activate/mem_reuse/mem_reuse_allocator.cc
@@ -401,6 +401,15 @@ bool BestFitMemReuse::IsReusableStream(uint32_t curr_stream_id, uint32_t target_
   return curr_parallel_set.find(target_stream_id) == curr_parallel_set.end();
 }
 
+bool BestFitMemReuse::IsRelease(const std::string &kernel_name) {
+  // unable_used_node include the node type that output tensor cannot be released,
+  // even if its refcount is equal to zero.
+  std::unordered_set<std::string> unable_used_node = {prim::kPrimBatchNorm->name(), prim::kPrimBatchNormGrad->name(),
+                                                      prim::kPrimFusedBatchNorm->name(),
+                                                      prim::kPrimFusedBatchNormGrad->name()};
+  return unable_used_node.find(kernel_name) == unable_used_node.end();
+}
+
 void BestFitMemReuse::CheckTensorIndex(int tensor_index) const {
   if (tensor_index < 0) {
     MS_LOG(EXCEPTION) << "warning, please check tensor info.";
@@ -437,6 +446,9 @@ void BestFitMemReuse::Reuse(const MemReuseUtil *mem_reuse_util_ptr) {
     // update node input tensor refcount, and membuf list status
     UpdateNodeInputAndMembuf(op_def_ptr.get());
     // check node output tensor which refcount is equal to zero
+    if (IsRelease(op_def_ptr->kernel_name())) {
+      ReleaseNodeUnusedOutput(op_def_ptr.get());
+    }
 #ifdef MEM_REUSE_DEBUG
     MemReuseChecker::GetInstance().SetMembuInfos(op_def_ptr.get(), membuf_ptr_list_);
     ++op_num;
diff --git a/mindspore/ccsrc/pre_activate/mem_reuse/mem_reuse_allocator.h b/mindspore/ccsrc/pre_activate/mem_reuse/mem_reuse_allocator.h
index e41c20d620..5ef16b7dc3 100644
--- a/mindspore/ccsrc/pre_activate/mem_reuse/mem_reuse_allocator.h
+++ b/mindspore/ccsrc/pre_activate/mem_reuse/mem_reuse_allocator.h
@@ -102,6 +102,8 @@ class BestFitMemReuse {
   size_t GetAllocatedSize();
   // If the target stream can be reused by current stream
   bool IsReusableStream(uint32_t curr_stream_id, uint32_t target_stream_id);
+  // return false, when the node output cannot be released
+  bool IsRelease(const std::string &kernel_name);
   // set tensor_def and op_def
   void set_tensor_ptr_list(const std::vector<KernelRefCountPtr> &tensor_ptr_list) {
     tensor_ptr_list_ = tensor_ptr_list;