code clean

mindspore/ccsrc/backend/optimizer/ascend/mindir/sparse_softmax_cross_entropy_with_logits_unify_mindir.cc

@@ -59,7 +59,7 @@ CNodePtr CreateOneHot(const FuncGraphPtr &graph, const CNodePtr &sparse_softmax_
   int64_t depth = 0;
   if (logits_shape.size() >= 1) {
     size_t index = logits_shape.size() - 1;
-    depth = logits_shape[index];
+    depth = SizeToLong(logits_shape[index]);
   } else {
     MS_LOG(EXCEPTION) << "logits's shape of sparse_softmax_cross_entropy_with_logits is empty.";
   }

mindspore/ccsrc/runtime/device/launch_mul.cc

@@ -31,7 +31,7 @@ std::shared_ptr<session::KernelGraph> LaunchMul::ObtainMulKernelGraph() {
   if (dtype_size == 0) {
     MS_LOG(EXCEPTION) << "Divide by zero.";
   }
-  int64_t shape = total_size_ / dtype_size;
+  int64_t shape = SizeToLong(total_size_ / dtype_size);
   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(

mindspore/core/abstract/prim_arrays.cc

@@ -829,7 +829,7 @@ AbstractBasePtr InferImplReshape(const AnalysisEnginePtr &, const PrimitivePtr &
     if (it_second != shape.end()) {
       MS_LOG(EXCEPTION) << "At most one component of input shape can be -1";
     }
-    int index = std::distance(shape.begin(), it_first);
+    auto index = std::distance(shape.begin(), it_first);
     int infer_value = x_num;
     int infer_min_value = x_min_num;
     int infer_max_value = x_max_num;