diff --git a/mindspore/ccsrc/backend/optimizer/ascend/format_type/check_consistency.cc b/mindspore/ccsrc/backend/optimizer/ascend/format_type/check_consistency.cc
index 19d8572f44..d6c55fd7ca 100644
--- a/mindspore/ccsrc/backend/optimizer/ascend/format_type/check_consistency.cc
+++ b/mindspore/ccsrc/backend/optimizer/ascend/format_type/check_consistency.cc
@@ -39,7 +39,7 @@ bool CheckFormatForConsistency(const CNodePtr &node, const size_t input_index) {
   if (pre_output_format == kOpFormat_DEFAULT || selected_input_format == kOpFormat_DEFAULT) {
     string checking_format = (pre_output_format == kOpFormat_DEFAULT) ? selected_input_format : pre_output_format;
     // when input shape size is 1D, default format and NC1HWC0 are compatible
-    if (input_origin_shape.size() == 1 && checking_format == kOpFormat_NC1HWC0) {
+    if (input_origin_shape.size() == 1) {
       return true;
     }
     if (kDefaultCompatibleFormat.find(checking_format) != kDefaultCompatibleFormat.end()) {
diff --git a/mindspore/ccsrc/backend/optimizer/ascend/ir_fission/gather_v2_ds_fission.cc b/mindspore/ccsrc/backend/optimizer/ascend/ir_fission/gather_v2_ds_fission.cc
index d3415e5e3d..0d749dd5cb 100644
--- a/mindspore/ccsrc/backend/optimizer/ascend/ir_fission/gather_v2_ds_fission.cc
+++ b/mindspore/ccsrc/backend/optimizer/ascend/ir_fission/gather_v2_ds_fission.cc
@@ -128,7 +128,6 @@ bool CheckInputs(const CNodePtr &origin_node) {
   }
   auto param_shape = AnfAlgo::GetPrevNodeOutputInferShape(origin_node, 0);
   auto indice_shape = AnfAlgo::GetPrevNodeOutputInferShape(origin_node, 1);
-
   // this optimizer only support embedding_table has dynamic shape
   if (param_shape.empty() || indice_shape.empty() || AnfAlgo::IsDynamicShape(origin_node->input(2))) {
     return false;
diff --git a/mindspore/ccsrc/debug/data_dump/e2e_dump.cc b/mindspore/ccsrc/debug/data_dump/e2e_dump.cc
index a98f1427fe..4789752c6f 100644
--- a/mindspore/ccsrc/debug/data_dump/e2e_dump.cc
+++ b/mindspore/ccsrc/debug/data_dump/e2e_dump.cc
@@ -32,7 +32,6 @@
 #endif
 
 namespace mindspore {
-
 bool E2eDump::IsDeviceTargetGPU() {
   auto context = MsContext::GetInstance();
   MS_EXCEPTION_IF_NULL(context);
diff --git a/mindspore/ccsrc/ps/ps_cache/ps_cache_manager.cc b/mindspore/ccsrc/ps/ps_cache/ps_cache_manager.cc
index 50369de543..adc81039f2 100644
--- a/mindspore/ccsrc/ps/ps_cache/ps_cache_manager.cc
+++ b/mindspore/ccsrc/ps/ps_cache/ps_cache_manager.cc
@@ -309,7 +309,7 @@ void PsCacheManager::IncreaseGraphStep(const std::string &channel_name) {
   data_prase_.notify_one();
 }
 
-void PsCacheManager::DoProcessData(uint32_t device_id, void *context) {
+void PsCacheManager::DoProcessData(uint32_t device_id, const void *context) {
   // PS embeddingLookup cache check.
   if (!initialized_ps_cache_) {
     MS_LOG(EXCEPTION) << "Only the sink_mode of dataset supports embeddingLookup cache in parameter server training "
@@ -318,7 +318,7 @@ void PsCacheManager::DoProcessData(uint32_t device_id, void *context) {
   process_data_thread_ = std::thread(&PsCacheManager::ProcessDataTask, this, device_id, context);
 }
 
-void PsCacheManager::ProcessDataTask(uint32_t device_id, void *context) {
+void PsCacheManager::ProcessDataTask(uint32_t device_id, const void *context) {
   MS_LOG(INFO) << "PS embedding cache process data task begin.";
   running_ = true;
   embedding_device_cache_->cache_->InitDevice(device_id, context);
diff --git a/mindspore/ccsrc/ps/ps_cache/ps_cache_manager.h b/mindspore/ccsrc/ps/ps_cache/ps_cache_manager.h
index 2e620a5273..e4899e9eea 100644
--- a/mindspore/ccsrc/ps/ps_cache/ps_cache_manager.h
+++ b/mindspore/ccsrc/ps/ps_cache/ps_cache_manager.h
@@ -129,7 +129,7 @@ class PsCacheManager {
   bool initialized_ps_cache() const { return initialized_ps_cache_; }
   size_t vocab_cache_size() const { return vocab_cache_size_; }
   int cache_indices_lower_bound() const;
-  void DoProcessData(uint32_t device_id, void *context);
+  void DoProcessData(uint32_t device_id, const void *context);
   void IncreaseGraphStep(const std::string &channel_name);
   void SyncEmbeddingTable();
   void Finalize();
@@ -148,7 +148,7 @@ class PsCacheManager {
   void InitDataChannel();
   void AllocMemForHashTable();
   void SetLocalIdRank();
-  void ProcessDataTask(uint32_t device_id, void *context);
+  void ProcessDataTask(uint32_t device_id, const void *context);
   bool ProcessData();
   bool ParseData(const int *batch_ids, const size_t batch_ids_len, int *hash_index);
   bool WaitGraphRun();
diff --git a/mindspore/ccsrc/runtime/device/ascend/ascend_kernel_runtime.h b/mindspore/ccsrc/runtime/device/ascend/ascend_kernel_runtime.h
index e544a61d39..28c9873fc8 100644
--- a/mindspore/ccsrc/runtime/device/ascend/ascend_kernel_runtime.h
+++ b/mindspore/ccsrc/runtime/device/ascend/ascend_kernel_runtime.h
@@ -54,7 +54,7 @@ class AscendKernelRuntime : public KernelRuntime {
   bool MemcpyAsync(void *dst, const void *src, uint64_t size, int32_t kind) override;
   void SetContext() override;
   void CreateContext() override;
-  void *context() const override { return rt_context_; }
+  const void *context() const override { return rt_context_; }
   void PreInit() override;
   uint64_t GetAvailableMemMaxSize() const override;
   DeviceAddressType GetTargetDeviceAddressType() const override { return DeviceAddressType::kAscend; };
diff --git a/mindspore/ccsrc/runtime/device/kernel_runtime.h b/mindspore/ccsrc/runtime/device/kernel_runtime.h
index 2a96ad5b0a..e217335f19 100644
--- a/mindspore/ccsrc/runtime/device/kernel_runtime.h
+++ b/mindspore/ccsrc/runtime/device/kernel_runtime.h
@@ -78,7 +78,7 @@ class KernelRuntime {
   virtual void ClearGlobalIdleMem() {}
   virtual void CreateContext() {}
   virtual void SetContext() {}
-  virtual void *context() const { return nullptr; }
+  virtual const void *context() const { return nullptr; }
   uint8_t *MallocMem(MemType type, size_t size, const DeviceAddressPtr &address) {
     return mem_manager_->MallocMem(type, size, address);
   }
diff --git a/mindspore/ops/op_info_register.py b/mindspore/ops/op_info_register.py
index 5c913cee1d..668104cc28 100644
--- a/mindspore/ops/op_info_register.py
+++ b/mindspore/ops/op_info_register.py
@@ -451,7 +451,7 @@ class TBERegOp(RegOp):
         Whether the operator need cal op_select_format api.
 
         Args:
-            is_dynamic_format (bool): Value of is_dynamic_format_. Default: false.
+            is_dynamic_format (bool): The format needs to be dynamically obtained. Default: false.
         """
         self._is_bool(is_dynamic_format)
         self.is_dynamic_format_ = is_dynamic_format