From ec043fcd5643396fed4d61e6290e1be0336aebf6 Mon Sep 17 00:00:00 2001
From: Xiaoda Zhang <zhangxiaoda@huawei.com>
Date: Thu, 23 Apr 2020 19:12:47 +0800
Subject: [PATCH] fix the codex and bot warnings

---
 mindspore/ccsrc/parallel/device_matrix.h                       | 1 -
 mindspore/ccsrc/parallel/step_parallel.cc                      | 1 -
 .../parallel/tensor_layout/redistribution_operator_infer.h     | 3 ++-
 3 files changed, 2 insertions(+), 3 deletions(-)

diff --git a/mindspore/ccsrc/parallel/device_matrix.h b/mindspore/ccsrc/parallel/device_matrix.h
index 236a7fad08..295bf33836 100644
--- a/mindspore/ccsrc/parallel/device_matrix.h
+++ b/mindspore/ccsrc/parallel/device_matrix.h
@@ -26,7 +26,6 @@
 
 namespace mindspore {
 namespace parallel {
-
 using RankList = std::vector<int32_t>;
 using Shape = std::vector<int32_t>;
 
diff --git a/mindspore/ccsrc/parallel/step_parallel.cc b/mindspore/ccsrc/parallel/step_parallel.cc
index c24c14abf6..7731c68ca5 100644
--- a/mindspore/ccsrc/parallel/step_parallel.cc
+++ b/mindspore/ccsrc/parallel/step_parallel.cc
@@ -1620,7 +1620,6 @@ CNodePtr FindLossCNode(const FuncGraphPtr &func_graph) {
   auto pre_cnode = pre_node->cast<CNodePtr>();
   MS_EXCEPTION_IF_NULL(pre_cnode);
   auto current_prim = GetValueNode<PrimitivePtr>(pre_cnode->input(0));
-
   // return -> cast
   if (current_prim->name() == CAST && pre_cnode->operator_info() == nullptr) {
     pre_cnode = pre_cnode->input(1)->cast<CNodePtr>();
diff --git a/mindspore/ccsrc/parallel/tensor_layout/redistribution_operator_infer.h b/mindspore/ccsrc/parallel/tensor_layout/redistribution_operator_infer.h
index a96097a1d3..37a8ac3d9e 100644
--- a/mindspore/ccsrc/parallel/tensor_layout/redistribution_operator_infer.h
+++ b/mindspore/ccsrc/parallel/tensor_layout/redistribution_operator_infer.h
@@ -39,7 +39,8 @@ using OperatorList = std::vector<OperatorC>;
 class RedistributionOperatorInfer {
  public:
   const int NONE = -1;
-  explicit RedistributionOperatorInfer(bool construct_op_flag = true) : construct_op_flag_(construct_op_flag) {}
+  explicit RedistributionOperatorInfer(bool construct_op_flag = true)
+      : construct_op_flag_(construct_op_flag), is_cost_model_(false) {}
   Status Init(const TensorLayout &tensor_layout, const Map &out_tensor_map, RankList dev_list,
               bool is_cost_model = false);
   ~RedistributionOperatorInfer() = default;