diff --git a/cmake/external/lite.cmake b/cmake/external/lite.cmake
index 323a8ddc729f846217f6ea6ba1c05cc5a2d777d5..70c11d37f911da9225a8609de756438c9b74c596 100644
--- a/cmake/external/lite.cmake
+++ b/cmake/external/lite.cmake
@@ -91,3 +91,4 @@ endfunction()
 external_lite_static_libs(lite_full_static ${LITE_BINARY_DIR}/inference_lite_lib/cxx/lib/libpaddle_full_api_shared.so)
 
 add_definitions(-DPADDLE_WITH_LITE)
+add_definitions(-DLITE_WITH_LOG)
diff --git a/paddle/fluid/operators/sync_batch_norm_op.cu.h b/paddle/fluid/operators/sync_batch_norm_op.cu.h
index cfb9e16942c25f0397d00f17b0c3353a24b7acd8..7ccdb74a0f3f444aa7d67608f0d5c745def84ea6 100644
--- a/paddle/fluid/operators/sync_batch_norm_op.cu.h
+++ b/paddle/fluid/operators/sync_batch_norm_op.cu.h
@@ -186,7 +186,7 @@ void SyncBatchNormFunctor(const framework::ExecutionContext &ctx,
     auto gplace = boost::get<platform::CUDAPlace>(ctx.GetPlace());
     memory::Copy(platform::CPUPlace(), c_g_st_d, gplace, stats, bytes, 0);
 
-#ifndef WIN32
+#ifdef PADDLE_WITH_NCCL
     auto *comm = dev_ctx.nccl_comm();
     if (comm) {
       int dtype = platform::ToNCCLDataType(mean_out->type());
@@ -460,7 +460,7 @@ void SyncBatchNormGradFunctor(
         dy_d, x_d, saved_mean, N, fsize, C, stats);
   }
 
-#ifndef WIN32
+#ifdef PADDLE_WITH_NCCL
   auto *comm = dev_ctx.nccl_comm();
   if (comm) {
     int dtype = platform::ToNCCLDataType(scale->type());