!15052 fix review boot

From: @zhangbuxue
Reviewed-by: @zh_qh,@ginfung
Signed-off-by: @zh_qh

mindspore/ccsrc/frontend/optimizer/irpass/gradient_eliminate.h

@@ -31,7 +31,6 @@
 namespace mindspore {
 namespace opt {
 namespace irpass {
-
 // {prim::kPrimJ, C}
 class ExpandJPrim {
  public:

mindspore/ccsrc/pipeline/jit/static_analysis/program_specialize.cc

@@ -129,28 +129,7 @@ AnfNodePtr FuncGraphSpecializer::ReplicateDisconnectedNode(const AnfNodePtr &nod
     if (!new_node->isa<CNode>()) {
       MS_LOG(EXCEPTION) << "new_node must be a CNode, but is " << new_node->DebugString() << ".";
     }
-    auto c_node = node->cast<CNodePtr>();
-    MS_EXCEPTION_IF_NULL(c_node);
-    auto inputs = c_node->inputs();
-    std::vector<AnfNodePtr> new_inputs;
-    (void)std::transform(
-      inputs.begin(), inputs.end(), std::back_inserter(new_inputs), [this](const AnfNodePtr &inp) -> AnfNodePtr {
-        auto new_inp = ReplicateDisconnectedNode(inp);
-        // Refer the comments in BuildReplacedNode.
-        if (inp->isa<CNode>()) {
-          auto c_inp = inp->cast<CNodePtr>();
-          MS_EXCEPTION_IF_NULL(c_inp);
-          auto c_new_inp = new_inp->cast<CNodePtr>();
-          MS_EXCEPTION_IF_NULL(c_new_inp);
-          MS_LOG(DEBUG) << "Replace in order, inp node: " << inp->DebugString() << " -> " << new_inp->DebugString();
-          c_new_inp->func_graph()->ReplaceInOrder(c_inp, c_new_inp);
-        }
-        return new_inp;
-      });
-
-    auto c_new_node = new_node->cast<CNodePtr>();
-    MS_EXCEPTION_IF_NULL(c_new_node);
-    c_new_node->set_inputs(new_inputs);
+    UpdateNewCNodeInputs(node, new_node);
   }
 
   iter = specializer->repl_node_->find(node);
@@ -164,6 +143,31 @@ AnfNodePtr FuncGraphSpecializer::ReplicateDisconnectedNode(const AnfNodePtr &nod
   return new_node;
 }
 
+void FuncGraphSpecializer::UpdateNewCNodeInputs(const AnfNodePtr &node, const AnfNodePtr &new_node) {
+  auto c_node = node->cast<CNodePtr>();
+  MS_EXCEPTION_IF_NULL(c_node);
+  auto inputs = c_node->inputs();
+  std::vector<AnfNodePtr> new_inputs;
+  (void)std::transform(
+    inputs.begin(), inputs.end(), std::back_inserter(new_inputs), [this](const AnfNodePtr &inp) -> AnfNodePtr {
+      auto new_inp = ReplicateDisconnectedNode(inp);
+      // Refer the comments in BuildReplacedNode.
+      if (inp->isa<CNode>()) {
+        auto c_inp = inp->cast<CNodePtr>();
+        MS_EXCEPTION_IF_NULL(c_inp);
+        auto c_new_inp = new_inp->cast<CNodePtr>();
+        MS_EXCEPTION_IF_NULL(c_new_inp);
+        MS_LOG(DEBUG) << "Replace in order, inp node: " << inp->DebugString() << " -> " << new_inp->DebugString();
+        c_new_inp->func_graph()->ReplaceInOrder(c_inp, c_new_inp);
+      }
+      return new_inp;
+    });
+
+  auto c_new_node = new_node->cast<CNodePtr>();
+  MS_EXCEPTION_IF_NULL(c_new_node);
+  c_new_node->set_inputs(new_inputs);
+}
+
 AnfNodePtr FuncGraphSpecializer::GetReplicatedNode(const AnfNodePtr &node) {
   MS_EXCEPTION_IF_NULL(node);
   FuncGraphPtr fg = node->func_graph();

mindspore/ccsrc/pipeline/jit/static_analysis/program_specialize.h

@@ -130,6 +130,7 @@ class FuncGraphSpecializer : public std::enable_shared_from_this<FuncGraphSpecia
   const EvaluatorCacheMapPtr &GetEvalCache(const EvaluatorPtr &eval);
   // Try to build unique argvals from the broaded arg vals if it is unique.
   std::pair<AbstractBasePtrList, AbstractBasePtr> BuildFromBroadedArgsVal(const EvaluatorPtr &eval);
+  void UpdateNewCNodeInputs(const AnfNodePtr &node, const AnfNodePtr &new_node);
 };
 }  // namespace abstract
 }  // namespace mindspore

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

@@ -667,7 +667,7 @@ bool AscendDeviceAddress::DumpMemToFile(const std::string &filepath, const std::
   std::string file_extension = ".bin";
   if (trans_flag) {
     std::string path =
-      filepath + '_' + shape + '_' + TypeIdToType(type_id_)->ToString() + '_' + host_fmt + file_extension;
+      filepath + '_' + shape + '_' + TypeIdToType(host_type)->ToString() + '_' + host_fmt + file_extension;
     MS_LOG(INFO) << "E2E Dump path is " << path;
     mindspore::tensor::TensorPtr out_tensor = std::make_shared<tensor::Tensor>(host_type, host_shape);
     size_t host_size = out_tensor->data().nbytes();