!15585 fix code check

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

mindspore/ccsrc/frontend/optimizer/ad/dfunctor.cc

@@ -880,7 +880,7 @@ static std::vector<std::pair<CNodePtr, CNodePtr>> FindPrimalJPair(const FuncGrap
     } else if (IsPrimitive(cnode->inputs().at(0), prim::kPrimJ)) {
       // To find J user.
       auto j_user = GetJUser(node_user_map, cnode, index);
-      primal_j_pair.push_back({nullptr, j_user});
+      primal_j_pair.emplace_back(std::pair<CNodePtr, CNodePtr>(nullptr, j_user));
     }
   }
 
@@ -985,7 +985,7 @@ void DFunctor::EliminatePrimalGraph() {
     idx0->set_abstract(std::make_shared<abstract::AbstractScalar>(imm0));
     auto getitem0 = construct_wrapper->NewCNode({tuple_getitem, primal_user, idx0});
     getitem0->set_abstract(primal_abs);
-    manager->Replace(primal_user, getitem0);
+    (void)manager->Replace(primal_user, getitem0);
   }
 }
 }  // namespace ad

mindspore/ccsrc/utils/system/sha256.h

@@ -131,7 +131,7 @@ std::string ConvertToString(uint32_t *input, const int &size) {
   oss << std::hex;
   for (int i = 0; i < size; ++i) {
     for (int j = static_cast<int>(sizeof(uint32_t) / sizeof(uint8_t)) - 1; j >= 0; --j) {
-      uint8_t val = static_cast<uint8_t>((input[i] >> static_cast<uint32_t>(j * kBitNumber)) & 0xff);
+      auto val = static_cast<uint8_t>((input[i] >> static_cast<uint32_t>(j * kBitNumber)) & 0xff);
       oss << std::setw(2) << std::setfill('0') << static_cast<unsigned int>(val);
     }
   }

mindspore/core/ir/tensor.cc

@@ -387,12 +387,12 @@ class TensorDataImpl : public TensorData {
     }
     // Replace # with placeholder.
     size_t index = str.find('#');
-    while (index != str.npos) {
+    while (index != std::string::npos) {
       size_t pos = index;
       while (str[pos] == '#') {
         pos++;
       }
-      int len = pos - index;
+      size_t len = pos - index;
       std::string space(max_width - len, ' ');
       str = str.replace(index, len, space);
       index = str.find('#', index);

model_zoo/research/nlp/gpt2/src/gpt2_for_finetune.py

@@ -133,7 +133,7 @@ class GPT2FinetuneCell(nn.Cell):
             init = self.alloc_status()
             init = F.depend(init, loss)
             clear_before_grad = self.clear_before_grad(init)
-            self.depend_parameter_use(clear_before_grad, scaling_sens)
+            scaling_sens = F.depend(scaling_sens, clear_before_grad)
         grads = self.grad(self.network, weights)(input_ids,
                                                  input_mask,
                                                  label_ids,