!14865 codedex clean

From: @hwjiaorui
Reviewed-by: @zhoufeng54,@jjfeing
Signed-off-by: @jjfeing

mindspore/ccsrc/backend/kernel_compiler/kernel_fusion.cc

@@ -17,6 +17,7 @@
 #include "backend/kernel_compiler/kernel_fusion.h"
 
 #include <map>
+#include <set>
 #include <string>
 #include <memory>
 #include "backend/kernel_compiler/tbe/tbe_kernel_build.h"

mindspore/ccsrc/backend/optimizer/pass/optimize_dependence.cc

@@ -18,6 +18,7 @@
 #include <memory>
 #include <vector>
 #include <string>
+#include <utility>
 #include "backend/optimizer/common/helper.h"
 #include "base/core_ops.h"
 #include "utils/utils.h"

mindspore/ccsrc/backend/session/ascend_auto_monad.cc

@@ -21,6 +21,7 @@
 #include <vector>
 #include <string>
 #include <tuple>
+#include <queue>
 #include <utility>
 #include <memory>
 #include <algorithm>

mindspore/ccsrc/cxx_api/serialization.cc

@@ -34,7 +34,6 @@ static Buffer ReadFile(const std::string &file) {
 #else
   real_path_ret = realpath(common::SafeCStr(file), real_path_mem);
 #endif
-
   if (real_path_ret == nullptr) {
     MS_LOG(ERROR) << "File: " << file << " is not exist.";
     return buffer;

mindspore/ccsrc/runtime/device/ascend/ascend_launch_atomic_clean.cc

@@ -82,6 +82,9 @@ std::shared_ptr<session::KernelGraph> AscendLaunchAtomicClean::ObtainAtomicClean
   std::vector<TypeId> output_dtypes = {};
   // obtain input & output shapes
   size_t dtype_size = abstract::TypeIdSize(dtype_);
+  if (dtype_size == 0) {
+    MS_LOG(EXCEPTION) << "Divide by zero.";
+  }
   int64_t shape = total_size_ / dtype_size;
   std::vector<std::vector<int64_t>> input_shapes = {{shape}};
   std::vector<std::vector<size_t>> output_shapes = {};

mindspore/ccsrc/runtime/device/bucket.cc

@@ -64,8 +64,6 @@ void Bucket::Launch() {
   MS_LOG(INFO) << "Bucket launch cost:" << (GetTime() - start) * 1e6 << " us";
 }
 
-// TODO(caifubi): float16 grad cast to float32 grad
-
 void Bucket::UpdateTensorAddr() {
   if (grad_tensor_list_.size() != bucket_size_ || new_tensor_output_addrs_.size() != bucket_size_) {
     MS_LOG(EXCEPTION) << "grad_tensor_list size:" << grad_tensor_list_.size()
@@ -80,7 +78,6 @@ void Bucket::UpdateTensorAddr() {
     // release old addr and manage addr by this Bucket.
     MS_EXCEPTION_IF_NULL(device_address);
     auto origin_dev_ptr = device_address->GetMutablePtr();
-    // FreeDeviceMem(origin_dev_ptr);
     tensor_old_addr_list_.emplace_back(origin_dev_ptr);
     device_address->from_mem_pool_ = false;
     device_address->set_ptr(new_tensor_output_addrs_[i]);

mindspore/ccsrc/runtime/device/launch_mul.cc

@@ -29,6 +29,9 @@ std::shared_ptr<session::KernelGraph> LaunchMul::ObtainMulKernelGraph() {
   // obtain input & output shapes
   size_t dtype_size = abstract::TypeIdSize(dtype_);
   int64_t shape = total_size_ / dtype_size;
+  if (dtype_size == 0) {
+    MS_LOG(EXCEPTION) << "Divide by zero.";
+  }
   std::vector<std::vector<int64_t>> input_shapes = {{shape}, {1}};
   std::vector<std::vector<size_t>> output_shapes = {{static_cast<size_t>(shape)}};
   auto mul_graph = session::SingleKernelGraph::ConstructKernelGraphBasedOnSingleOp(