diff --git a/mindspore/lite/src/runtime/lite_session.cc b/mindspore/lite/src/runtime/lite_session.cc
index 03d1e12a473..14dbb4f33f8 100644
--- a/mindspore/lite/src/runtime/lite_session.cc
+++ b/mindspore/lite/src/runtime/lite_session.cc
@@ -1078,7 +1078,7 @@ int LiteSession::ReSizeKernels(const std::vector<kernel::KernelExec *> &kernels,
       }
     }
     if (ret == RET_INFER_INVALID) {
-      MS_LOG(INFO) << "InferShape is interrupted";
+      MS_LOG(DEBUG) << "InferShape is interrupted";
       continue;
     }
     if (ret != RET_OK) {
diff --git a/mindspore/lite/src/runtime/sub_graph_kernel.cc b/mindspore/lite/src/runtime/sub_graph_kernel.cc
index cc0d08d1fee..bf159580872 100644
--- a/mindspore/lite/src/runtime/sub_graph_kernel.cc
+++ b/mindspore/lite/src/runtime/sub_graph_kernel.cc
@@ -114,9 +114,9 @@ int SubGraphKernel::ReSize() {
       ret = lite::KernelInferShape(inputs, outputs, parameter, context_->allocator);
     }
     if (ret == RET_INFER_INVALID) {
-      MS_LOG(INFO) << "InferShape shouldn't be done before runtime, type:"
-                   << schema::EnumNamePrimitiveType(static_cast<schema::PrimitiveType>(kernel->type()))
-                   << "flag set to false.";
+      MS_LOG(DEBUG) << "InferShape shouldn't be done before runtime, type:"
+                    << schema::EnumNamePrimitiveType(static_cast<schema::PrimitiveType>(kernel->type()))
+                    << "flag set to false.";
     } else if (ret != RET_OK) {
       MS_LOG(ERROR) << "InferShape failed, type: "
                     << schema::EnumNamePrimitiveType(static_cast<schema::PrimitiveType>(kernel->type()));
diff --git a/mindspore/lite/src/tensor.cc b/mindspore/lite/src/tensor.cc
index 525a4bb7e70..bfd4f4cb643 100644
--- a/mindspore/lite/src/tensor.cc
+++ b/mindspore/lite/src/tensor.cc
@@ -253,7 +253,7 @@ size_t Tensor::Size() const {
   }
   auto element_num = (format_ == mindspore::NC4HW4 || format_ == mindspore::NHWC4) ? ElementsC4Num() : ElementsNum();
   if (element_num <= 0) {
-    MS_LOG(INFO) << "Element number of tensor should large than 0 : " << element_num << ", shape: " << shape_;
+    MS_LOG(DEBUG) << "Element number of tensor should large than 0 : " << element_num << ", shape: " << shape_;
     return 0;
   }
   return element_size * static_cast<size_t>(element_num);