Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into add_cudnn_lstm

paddle/fluid/framework/operator.cc

@@ -754,7 +754,7 @@ void OperatorWithKernel::RunImpl(const Scope& scope,
 
   kernel_iter->second(ExecutionContext(*this, exec_scope, *dev_ctx));
 
-  if (!transfered_inplace_vars.empty()) {
+  if (run_by_executor_ && !transfered_inplace_vars.empty()) {
     // there is inplace variable has been transfered.
     TransferInplaceVarsBack(scope, transfered_inplace_vars, *transfer_scope);
   }
@@ -776,6 +776,7 @@ void OperatorWithKernel::RunImpl(const Scope& scope,
     }
   }
 }
+
 void OperatorWithKernel::TransferInplaceVarsBack(
     const Scope& scope, const std::vector<std::string>& inplace_vars,
     const Scope& transfer_scope) const {

paddle/fluid/operators/metrics/auc_op.h

@@ -75,8 +75,13 @@ class AucKernel : public framework::OpKernel<T> {
     const auto *label_data = label->data<int64_t>();
 
     for (size_t i = 0; i < batch_size; i++) {
-      uint32_t binIdx = static_cast<uint32_t>(
-          inference_data[i * inference_width + 1] * num_thresholds);
+      auto predict_data = inference_data[i * inference_width + 1];
+      PADDLE_ENFORCE_LE(predict_data, 1,
+                        "The predict data must less or equal 1.");
+      PADDLE_ENFORCE_GE(predict_data, 0,
+                        "The predict data must gather or equal 0.");
+
+      uint32_t binIdx = static_cast<uint32_t>(predict_data * num_thresholds);
       if (label_data[i]) {
         (*stat_pos)[binIdx] += 1.0;
       } else {