[Compile] change compiling option `SHUTDOWN_LOG` into `WITH_LOG`

CMakeLists.txt

@@ -97,7 +97,7 @@ lite_option(LITE_WITH_FPGA   "Enable FPGA support in lite" OFF)
 lite_option(LITE_WITH_LIGHT_WEIGHT_FRAMEWORK  "Enable light-weight framework" OFF)
 lite_option(LITE_WITH_PROFILE  "Enable profile mode in lite framework"  OFF)
 lite_option(LITE_WITH_PRECISION_PROFILE "Enable precision profile in profile mode ON in lite" OFF)
-lite_option(LITE_SHUTDOWN_LOG "Shutdown log system or not." OFF)
+lite_option(LITE_WITH_LOG "Enable log printing or not." ON)
 lite_option(LITE_ON_TINY_PUBLISH "Publish tiny predictor lib." OFF)
 lite_option(LITE_ON_MODEL_OPTIMIZE_TOOL "Build the model optimize tool" OFF)
 # publish options

cmake/configure.cmake

@@ -186,8 +186,8 @@ if (LITE_WITH_LIGHT_WEIGHT_FRAMEWORK)
   add_definitions("-DLITE_WITH_LIGHT_WEIGHT_FRAMEWORK")
 endif()
 
-if (LITE_SHUTDOWN_LOG)
-  add_definitions("-DLITE_SHUTDOWN_LOG")
+if (LITE_WITH_LOG)
+  add_definitions("-DLITE_WITH_LOG")
 endif()
 
 if (LITE_ON_TINY_PUBLISH)

docs/demo_guides/rknpu.md

@@ -131,8 +131,8 @@ $ git clone https://github.com/airockchip/rknpu_ddk.git
 ```
 - 编译full_publish and tiny_publish for armv8（注意：RKNPU_DDK只支持armv8）
 ```shell
-$ ./lite/tools/build.sh --arm_os=armlinux --arm_abi=armv8 --arm_lang=gcc --build_extra=ON --shutdown_log=OFF --build_rknpu=ON --rknpu_ddk_root=./rknpu_ddk full_publish
-$ ./lite/tools/build.sh --arm_os=armlinux --arm_abi=armv8 --arm_lang=gcc --build_extra=ON --shutdown_log=OFF --build_rknpu=ON --rknpu_ddk_root=./rknpu_ddk tiny_publish
+$ ./lite/tools/build.sh --arm_os=armlinux --arm_abi=armv8 --arm_lang=gcc --build_extra=ON --with_log=ON --build_rknpu=ON --rknpu_ddk_root=./rknpu_ddk full_publish
+$ ./lite/tools/build.sh --arm_os=armlinux --arm_abi=armv8 --arm_lang=gcc --build_extra=ON --with_log=ON --build_rknpu=ON --rknpu_ddk_root=./rknpu_ddk tiny_publish
 ```
 - 将编译生成的build.lite.armlinux.armv8.gcc/inference_lite_lib.armlinux.armv8.rknpu/cxx/include替换PaddleLite-armlinux-demo/Paddle-Lite/include目录；
 - 将编译生成的build.lite.armlinux.armv8.gcc/inference_lite_lib.armlinux.armv8.rknpu/cxx/lib/libpaddle_light_api_shared.so替换PaddleLite-armlinux-demo/Paddle-Lite/libs/armv8/libpaddle_light_api_shared.so文件。

lite/api/CMakeLists.txt

-if(LITE_WITH_LIGHT_WEIGHT_FRAMEWORK OR LITE_SHUTDOWN_LOG)
+if(LITE_WITH_LIGHT_WEIGHT_FRAMEWORK OR (NOT LITE_WITH_LOG))
   lite_cc_library(place SRCS paddle_place.cc DEPS logging)
 else()
   lite_cc_library(place SRCS paddle_place.cc DEPS glog)

lite/backends/opencl/cl_utility.h

@@ -32,7 +32,7 @@ const char* opencl_error_to_str(cl_int error);
         __FILE__,                                                    \
         __LINE__);                                                   \
   }
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
 #define CL_CHECK_FATAL(err_code__)                                   \
   if (err_code__ != CL_SUCCESS) {                                    \
     LOG(FATAL) << string_format(                                     \

lite/demo/cxx/README.md

@@ -54,7 +54,7 @@ git checkout release/v2.3
     --arm_lang=gcc \
     --android_stl=c++_static \
     --build_extra=ON \
-    --shutdown_log=OFF \
+    --with_log=ON \
     full_publish
 ```
 

lite/demo/java/README.md

@@ -24,7 +24,7 @@ cmake .. \
 -DLITE_WITH_ARM=ON \
 -DLITE_WITH_LIGHT_WEIGHT_FRAMEWORK=ON \
 -DWITH_TESTING=OFF \
--DLITE_SHUTDOWN_LOG=ON \
+-DLITE_WITH_LOG=OFF \
 -DLITE_ON_TINY_PUBLISH=ON \
 -DARM_TARGET_OS=android -DARM_TARGET_ARCH_ABI=armv8 -DARM_TARGET_LANG=gcc
 

lite/kernels/opencl/activation_image_compute.cc

@@ -39,7 +39,7 @@ class ActivationComputeImageDefault
   void PrepareForRun() override {
     act_param_ = param_.get_mutable<param_t>();
     int act_type = static_cast<int>(act_param_->active_type);
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(1) << "ActivationTypeToStr(act_param_->active_type):"
             << ActivationTypeToStr(act_param_->active_type);
 #endif
@@ -72,7 +72,7 @@ class ActivationComputeImageDefault
         LOG(FATAL) << "This act type:" << act_type << " doesn't support.";
         return;
     }
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(1) << "kernel_func_name_:" << kernel_func_name_;
 #endif
 
@@ -129,7 +129,7 @@ class ActivationComputeImageDefault
     status = kernel.setArg(3, scale_);
     CL_CHECK_FATAL(status);
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     const auto& x_dims = act_param_->X->dims();
     const auto& y_dims = act_param_->Out->dims();  // useless: check dim only
     VLOG(4) << TargetToStr(act_param_->X->target());

lite/kernels/opencl/bilinear_interp_image_compute.cc

@@ -79,7 +79,7 @@ class BilinearInterpImageCompute
     int out_h = out_dims[2];
     int out_w = out_dims[3];
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(4) << "x->target():" << TargetToStr(x->target());
     VLOG(4) << "out->target():" << TargetToStr(out->target());
     VLOG(4) << "x->dims():" << in_dims;
@@ -92,7 +92,7 @@ class BilinearInterpImageCompute
     auto* out_img = out->mutable_data<half_t, cl::Image2D>(
         out_image_shape["width"], out_image_shape["height"]);
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     // VLOG(4) << "x_image: " << x_img;
     // VLOG(4) << "out_image: " << out_img;
     VLOG(4) << "out_image_shape[w,h]: " << out_image_shape["width"] << " "
@@ -114,7 +114,7 @@ class BilinearInterpImageCompute
                         DDim(std::vector<DDim::value_type>{
                             static_cast<int64_t>(out_image_shape["width"]),
                             static_cast<int64_t>(out_image_shape["height"])}));
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(4) << "default_work_size: " << default_work_size[0] << ", "
             << default_work_size[1] << ", " << default_work_size[2];
 #endif
@@ -150,7 +150,7 @@ class BilinearInterpImageCompute
         nullptr,
         nullptr);
     CL_CHECK_FATAL(status);
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(4) << "global_work_size:[2D]:" << global_work_size[0] << " "
             << global_work_size[1] << " " << global_work_size[2];
 #endif

lite/kernels/opencl/box_coder_image_compute.cc

@@ -61,7 +61,7 @@ class BoxCoderComputeImage : public KernelLite<TARGET(kOpenCL),
         boxcoder_param_->proposals->mutable_data<half_t, cl::Image2D>(
             image_shape["width"], image_shape["height"]);
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(4) << "boxcoder input shape:  ";
 
 #endif
@@ -93,7 +93,7 @@ class BoxCoderComputeImage : public KernelLite<TARGET(kOpenCL),
 
       int out_C = new_dims[1];
       int out_H = new_dims[2];
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
       VLOG(4) << TargetToStr(boxcoder_param_->proposals->target());
       VLOG(4) << "output shape: " << out_dims[0] << ", " << out_dims[1] << ", "
               << out_dims[2] << ", " << out_dims[3];
@@ -130,7 +130,7 @@ class BoxCoderComputeImage : public KernelLite<TARGET(kOpenCL),
           nullptr);
       CL_CHECK_FATAL(status);
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
       VLOG(4) << "global_work_size:[2D]:" << global_work_size[0] << " "
               << global_work_size[1];
 #endif

lite/kernels/opencl/concat_image_compute.cc

@@ -125,7 +125,7 @@ class ConcatComputeImage : public KernelLite<TARGET(kOpenCL),
     int arg_idx = 0;
     int width = inputs[0]->dims()[inputs[0]->dims().size() - 1];
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(4) << "concat input shape:  ";
     for (size_t i = 0; i < inputs.size(); i++) {
       VLOG(4) << "inputs [" << i << "]"
@@ -149,7 +149,7 @@ class ConcatComputeImage : public KernelLite<TARGET(kOpenCL),
                                                x_dims[x_dims.size() - 1]),
                     static_cast<cl::size_type>(image_shape["height"])};
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(4) << TargetToStr(param.output->target());
     VLOG(4) << "image_shape(w,h):" << image_shape["width"] << " "
             << image_shape["height"];
@@ -204,7 +204,7 @@ class ConcatComputeImage : public KernelLite<TARGET(kOpenCL),
         image_shape = InitImageDimInfoWith(in_dims);
         auto* x_buf = inputs[i]->data<half_t, cl::Image2D>();
         int in_w = in_dims[in_dims.size() - 1];
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
         VLOG(4) << "image_shape(w,h):" << image_shape["width"] << " "
                 << image_shape["height"];
 #endif

lite/kernels/opencl/conv_image_compute.cc

@@ -541,12 +541,12 @@ void ConvImageCompute::Conv2d1x1opt(bool is_turn) {
   int input_c = input_dims[1];
   auto dilations = *param.dilations;
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
   //  VLOG(4) << "out_image: " << out_image;
   VLOG(4) << "global_work_size_[3D]: {" << global_work_size_[0] << ","
           << global_work_size_[1] << "," << global_work_size_[2] << "}";
 #endif
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
   VLOG(4) << "============ conv2d_1x1 params ============";
   VLOG(4) << "input_image_shape: " << input_image_shape["width"] << ","
           << input_image_shape["height"];
@@ -846,7 +846,7 @@ void ConvImageCompute::Conv2d3x3opt(bool is_turn) {
   const bool is_element_wise_bias =
       has_bias && param.output->dims() == param.bias->dims();
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
   VLOG(4) << "============ conv2d params ============";
   // VLOG(4) << "input_image_shape: " << input_image_shape["width"] << ","
   //         << input_image_shape["height"];
@@ -893,7 +893,7 @@ void ConvImageCompute::Conv2d3x3opt(bool is_turn) {
   status = kernel.setArg(++arg_idx, *filter_image);
   CL_CHECK_FATAL(status);
   if (has_bias) {
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(4) << "set bias_image: ";
 #endif
     status = kernel.setArg(++arg_idx, *bias_image);
@@ -922,7 +922,7 @@ void ConvImageCompute::Conv2d3x3opt(bool is_turn) {
   status = kernel.setArg(++arg_idx, output_height);
   CL_CHECK_FATAL(status);
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
   //  VLOG(4) << "out_image: " << out_image;
   VLOG(4) << "global_work_size_[3D]: {" << global_work_size_[0] << ","
           << global_work_size_[1] << "," << global_work_size_[2] << "}";
@@ -975,7 +975,7 @@ void ConvImageCompute::Conv2d5x5(bool is_turn) {
   int input_c = input_dims[1];
   auto dilations = *param.dilations;
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
   VLOG(4) << "============ conv2d params ============";
   VLOG(4) << "input_image_shape: " << input_image_shape["width"] << ","
           << input_image_shape["height"];
@@ -1025,7 +1025,7 @@ void ConvImageCompute::Conv2d5x5(bool is_turn) {
   status = kernel.setArg(++arg_idx, *filter_image);
   CL_CHECK_FATAL(status);
   if (has_bias) {
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(4) << "set bias_image: ";
 #endif
     status = kernel.setArg(++arg_idx, *bias_image);
@@ -1052,7 +1052,7 @@ void ConvImageCompute::Conv2d5x5(bool is_turn) {
   status = kernel.setArg(++arg_idx, output_height);
   CL_CHECK_FATAL(status);
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
   //  VLOG(4) << "out_image: " << out_image;
   VLOG(4) << "global_work_size_[3D]: {" << global_work_size_[0] << ","
           << global_work_size_[1] << "," << global_work_size_[2] << "}";
@@ -1103,7 +1103,7 @@ void ConvImageCompute::Conv2d5x5opt(bool is_turn) {
       has_bias && param.output->dims() == param.bias->dims();
 
 // default_work_size[2] = h_blk;
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
   VLOG(4) << "============ conv2d params ============";
   // VLOG(4) << "input_image_shape: " << input_image_shape["width"] << ","
   //         << input_image_shape["height"];
@@ -1223,7 +1223,7 @@ void ConvImageCompute::Conv2d7x7(bool is_turn) {
   int input_c = input_dims[1];
   auto dilations = *param.dilations;
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
   VLOG(4) << "============ conv2d params ============";
   VLOG(4) << "input_image_shape: " << input_image_shape["width"] << ","
           << input_image_shape["height"];
@@ -1273,7 +1273,7 @@ void ConvImageCompute::Conv2d7x7(bool is_turn) {
   status = kernel.setArg(++arg_idx, *filter_image);
   CL_CHECK_FATAL(status);
   if (has_bias) {
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(4) << "set bias_image: ";
 #endif
     status = kernel.setArg(++arg_idx, *bias_image);
@@ -1300,7 +1300,7 @@ void ConvImageCompute::Conv2d7x7(bool is_turn) {
   status = kernel.setArg(++arg_idx, output_height);
   CL_CHECK_FATAL(status);
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
   //  VLOG(4) << "out_image: " << out_image;
   VLOG(4) << "global_work_size_[3D]: {" << global_work_size_[0] << ","
           << global_work_size_[1] << "," << global_work_size_[2] << "}";
@@ -1349,7 +1349,7 @@ void ConvImageCompute::Conv2d7x7opt(bool is_turn) {
   const bool is_element_wise_bias =
       has_bias && param.output->dims() == param.bias->dims();
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
   VLOG(4) << "============ conv2d 7x7 params ============";
   // VLOG(4) << "input_image_shape: " << input_image_shape["width"] << ","
   //         << input_image_shape["height"];
@@ -1479,7 +1479,7 @@ void ConvImageCompute::DepthwiseConv2d3x3s1(bool is_turn) {
   const cl::Image2D* bias_image = nullptr;
   if (has_bias) {
     bias_image = bias_gpu_image_->data<half_t, cl::Image2D>();
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(4) << "set bias_image: ";
 #endif
     status = kernel.setArg(++arg_idx, *bias_image);
@@ -1546,7 +1546,7 @@ void ConvImageCompute::DepthwiseConv2d3x3(bool is_turn) {
 
   auto kernel = kernel_;
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
   VLOG(4) << "setArg";
   VLOG(4) << "strides = " << strides[0];
   VLOG(4) << "offset = " << offset;
@@ -1576,7 +1576,7 @@ void ConvImageCompute::DepthwiseConv2d3x3(bool is_turn) {
   const cl::Image2D* bias_image = nullptr;
   if (has_bias) {
     bias_image = bias_gpu_image_->data<half_t, cl::Image2D>();
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(4) << "set bias_image: ";
 #endif
     status = kernel.setArg(++arg_idx, *bias_image);
@@ -1649,7 +1649,7 @@ void ConvImageCompute::DepthwiseConv2d(bool is_turn) {
   int input_c = input_dims[1];
   auto dilations = *param.dilations;
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
   VLOG(4) << "============ depthwise conv2d params ============";
   VLOG(4) << "input_image_shape: " << input_image_shape["width"] << ","
           << input_image_shape["height"];
@@ -1700,7 +1700,7 @@ void ConvImageCompute::DepthwiseConv2d(bool is_turn) {
   status = kernel.setArg(++arg_idx, *filter_image);
   CL_CHECK_FATAL(status);
   if (has_bias) {
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(4) << "set bias_image: ";
 #endif
     status = kernel.setArg(++arg_idx, *bias_image);
@@ -1731,7 +1731,7 @@ void ConvImageCompute::DepthwiseConv2d(bool is_turn) {
   status = kernel.setArg(++arg_idx, filter_height);
   CL_CHECK_FATAL(status);
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
   VLOG(4) << "global_work_size_[3D]: {" << global_work_size_[0] << ","
           << global_work_size_[1] << "," << global_work_size_[2] << "}";
 #endif

lite/kernels/opencl/elementwise_add_buffer_compute.cc

@@ -43,7 +43,7 @@ void ElementwiseAddCompute::Run() {
   STL::stringstream kernel_key;
   kernel_key << kernel_func_name_ << build_options_ << time_stamp_;
   auto kernel = context.cl_context()->GetKernel(kernel_key.str());
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
   VLOG(4) << TargetToStr(ele_param_->X->target());
   VLOG(4) << TargetToStr(ele_param_->Y->target());
   VLOG(4) << TargetToStr(ele_param_->Out->target());
@@ -86,7 +86,7 @@ void ElementwiseAddCompute::UpdateParams() {
   for (int i = static_cast<int>(y_dims.size() + axis); i < x_dims.size(); ++i) {
     num_ *= x_dims[i];
   }
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
   VLOG(4) << "axis: " << axis;
   VLOG(4) << "batch: " << batch_;
   VLOG(4) << "channels: " << channels_;

lite/kernels/opencl/elementwise_add_image_compute.cc

@@ -83,7 +83,7 @@ void ElementwiseAddImageCompute::ReInitWhenNeeded() {
 void ElementwiseAddImageCompute::GetGlobalWorkSize() {
   global_work_size_ = cl::NDRange{static_cast<cl::size_type>(x_img_shape_[0]),
                                   static_cast<cl::size_type>(x_img_shape_[1])};
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
   VLOG(4) << "global_work_size:[2D]:" << x_img_shape_[0] << " "
           << x_img_shape_[1];
 #endif
@@ -102,7 +102,7 @@ void ElementwiseAddImageCompute::Run() {
   auto* out_img = out->mutable_data<half_t, cl::Image2D>(out_img_shape_[0],
                                                          out_img_shape_[1]);
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
   VLOG(4) << "x->target():" << TargetToStr(x->target());
   VLOG(4) << "y->target():" << TargetToStr(y->target());
   VLOG(4) << "out->target():" << TargetToStr(out->target());
@@ -129,7 +129,7 @@ void ElementwiseAddImageCompute::Run() {
   } else if (y_dims.size() == 1) {
     if (axis == x_dims.size() - 1 || axis == x_dims.size() - 3) {
       const int tensor_w = x_dims[x_dims.size() - 1];
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
       VLOG(4) << "tensor_w:" << tensor_w;
 #endif
       status = kernel.setArg(0, *x_img);

lite/kernels/opencl/elementwise_mul_image_compute.cc

@@ -85,7 +85,7 @@ class ElementwiseMulImageCompute
     auto* y = ele_param_->Y;
     auto* out = ele_param_->Out;
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(4) << "x->target():" << TargetToStr(x->target());
     VLOG(4) << "y->target():" << TargetToStr(y->target());
     VLOG(4) << "out->target():" << TargetToStr(out->target());
@@ -108,7 +108,7 @@ class ElementwiseMulImageCompute
     auto* out_img = out->mutable_data<half_t, cl::Image2D>(out_img_shape[0],
                                                            out_img_shape[1]);
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(4) << "x_img_shape[w,h]:" << x_img_width << " " << x_img_height;
     VLOG(4) << "y_img_shape[w,h]:" << y_img_shape[0] << " " << y_img_shape[1];
     VLOG(4) << "out_img_shape[w,h]:" << out_img_shape[0] << " "
@@ -194,7 +194,7 @@ class ElementwiseMulImageCompute
         nullptr,
         nullptr);
     CL_CHECK_FATAL(status);
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(4) << "global_work_size:[2D]:" << x_img_width << " " << x_img_height;
 #endif
   }

lite/kernels/opencl/elementwise_sub_image_compute.cc

@@ -64,7 +64,7 @@ void ElementwiseSubImageCompute::Run() {
   auto* out = ele_param_->Out;
   auto axis = ele_param_->axis;
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
   VLOG(4) << "x->target():" << TargetToStr(x->target());
   VLOG(4) << "y->target():" << TargetToStr(y->target());
   VLOG(4) << "out->target():" << TargetToStr(out->target());
@@ -87,7 +87,7 @@ void ElementwiseSubImageCompute::Run() {
   auto* out_img = out->mutable_data<half_t, cl::Image2D>(out_img_shape[0],
                                                          out_img_shape[1]);
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
   VLOG(4) << "x_img_shape[w,h]:" << x_img_width << " " << x_img_height;
   VLOG(4) << "y_img_shape[w,h]:" << y_img_shape[0] << " " << y_img_shape[1];
   VLOG(4) << "out_img_shape[w,h]:" << out_img_shape[0] << " "
@@ -110,7 +110,7 @@ void ElementwiseSubImageCompute::Run() {
   } else if (y_dims.size() == 1) {
     if (axis == x->dims().size() - 1 || axis == x->dims().size() - 3) {
       int tensor_w = x->dims()[x->dims().size() - 1];
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
       VLOG(4) << "tensor_w:" << tensor_w;
 #endif
       cl_int status = kernel.setArg(arg_idx, *x_img);
@@ -134,7 +134,7 @@ void ElementwiseSubImageCompute::Run() {
 
   auto global_work_size = cl::NDRange{static_cast<cl::size_type>(x_img_width),
                                       static_cast<cl::size_type>(x_img_height)};
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
   VLOG(4) << "global_work_size:[2D]:" << x_img_width << " " << x_img_height;
 #endif
 

lite/kernels/opencl/fc_buffer_compute.cc

@@ -52,7 +52,7 @@ class FcCompute
       n_ = w_dims[1];
       CHECK_EQ(k_, static_cast<int>(w_dims[0]));
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
       VLOG(4) << "x_dims:" << x_dims[0] << " " << x_dims[1] << " " << x_dims[2]
               << " " << x_dims[3];
       VLOG(4) << "w_dims:" << w_dims[0] << " " << w_dims[1] << " " << w_dims[2]
@@ -66,7 +66,7 @@ class FcCompute
       } else {  // gemm
         kernel_func_name_ = "fc_gemm_4x4";
       }
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
       VLOG(1) << "kernel_func_name_:" << kernel_func_name_;
 #endif
 

lite/kernels/opencl/grid_sampler_image_compute.cc

@@ -80,7 +80,7 @@ class GridSamplerImageCompute : public KernelLite<TARGET(kOpenCL),
         cl::NDRange{static_cast<cl::size_type>(default_work_size[0]),
                     static_cast<cl::size_type>(default_work_size[1]),
                     static_cast<cl::size_type>(default_work_size[2] / 4)};
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(4) << "default_work_size: " << default_work_size[0] << ", "
             << default_work_size[1] << ", " << default_work_size[2];
     VLOG(4) << "global_work_size_:[2D]:" << global_work_size_[0] << " "
@@ -102,7 +102,7 @@ class GridSamplerImageCompute : public KernelLite<TARGET(kOpenCL),
     auto* out_img = out->mutable_data<half_t, cl::Image2D>(out_img_shape_[0],
                                                            out_img_shape_[1]);
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     auto in_dims = x->dims();
     VLOG(4) << "x->target():" << TargetToStr(x->target());
     VLOG(4) << "out->target():" << TargetToStr(out->target());

lite/kernels/opencl/instance_norm_image_compute.cc

@@ -96,7 +96,7 @@ class InstanceNormImageCompute : public KernelLite<TARGET(kOpenCL),
                                        static_cast<cl::size_type>(lws1),
                                        static_cast<cl::size_type>(lws2)};
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(4) << "global_work_size:" << static_cast<int>(global_work_size[0])
             << " " << static_cast<int>(global_work_size[1]) << " "
             << static_cast<int>(global_work_size[2]);
@@ -200,7 +200,7 @@ class InstanceNormImageCompute : public KernelLite<TARGET(kOpenCL),
     int in_h = in_dims[2];
     int in_w = in_dims[3];
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(4) << "x->target():" << TargetToStr(x->target());
     VLOG(4) << "out->target():" << TargetToStr(out->target());
     VLOG(4) << "x->dims():" << in_dims;
@@ -211,7 +211,7 @@ class InstanceNormImageCompute : public KernelLite<TARGET(kOpenCL),
     auto* out_img = out->mutable_data<half_t, cl::Image2D>(
         out_image_shape["width"], out_image_shape["height"]);
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(4) << "out_image_shape[w,h]: " << out_image_shape["width"] << " "
             << out_image_shape["height"];
 
@@ -229,7 +229,7 @@ class InstanceNormImageCompute : public KernelLite<TARGET(kOpenCL),
                     static_cast<cl::size_type>(group_size_y),
                     static_cast<cl::size_type>(1)};
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(4) << "local_work_size:[2D]:" << local_work_size[0] << " "
             << local_work_size[1] << " " << local_work_size[2];
     VLOG(4) << "global_work_size:[2D]:" << global_work_size[0] << " "

lite/kernels/opencl/io_copy_buffer_compute.cc

@@ -42,7 +42,7 @@ class IoCopyHostToOpenCLCompute
     CHECK(param.x->target() == TARGET(kHost) ||
           param.x->target() == TARGET(kARM));
     auto mem_size = param.x->memory_size();
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(2) << "param.x->memory_size():" << mem_size;
     VLOG(2) << "param.x->dims().size():" << param.x->dims().size();
     VLOG(2) << "param.x->dims():" << param.x->dims();
@@ -87,7 +87,7 @@ class IoCopykOpenCLToHostCompute
     CHECK(param.x->target() == TARGET(kOpenCL));
     auto mem_size = param.x->memory_size();
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(2) << "copy size " << mem_size;
     VLOG(2) << "param.x->dims().size():" << param.x->dims().size();
     VLOG(2) << "param.x->dims():" << param.x->dims();
@@ -106,7 +106,7 @@ class IoCopykOpenCLToHostCompute
 
     auto& context = ctx_->As<OpenCLContext>();
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(2) << "--- Find the sync event for the target cl tensor. ---";
 #endif
     CLRuntime::Global()->command_queue().finish();

lite/kernels/opencl/layout_image_compute.cc

@@ -76,7 +76,7 @@ class LayoutComputeBufferChwToImageDefault
     const int Stride1 = out_H * out_W;
     const int Stride0 = out_W;
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(2) << "param.process_type:" << param.process_type;
     VLOG(2) << "x_dims:" << x_dims;
     VLOG(2) << "param.x->memory_size():" << param.x->memory_size();
@@ -118,7 +118,7 @@ class LayoutComputeBufferChwToImageDefault
     status = kernel.setArg(++arg_idx, static_cast<const int>(Stride2));
     CL_CHECK_FATAL(status);
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(2) << "gws:[3D]" << ((new_dims[1] + 3) / 4) << " " << new_dims[3]
             << " " << (new_dims[0] * new_dims[2]);
 #endif
@@ -186,7 +186,7 @@ class LayoutComputeImageDefaultToBufferChw
       new_dims[4 - x_dims.size() + j] = x_dims[j];
     }
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(2) << "param.process_type:" << param.process_type;
     VLOG(2) << "x_dims:" << x_dims;
     VLOG(2) << "param.x->memory_size():" << param.x->memory_size();
@@ -228,7 +228,7 @@ class LayoutComputeImageDefaultToBufferChw
     CL_CHECK_FATAL(status);
     status = kernel.setArg(++arg_idx, static_cast<const int>(C));
     CL_CHECK_FATAL(status);
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(2) << "gws:[3D]" << ((new_dims[1] + 3) / 4) << " " << new_dims[3]
             << " " << (new_dims[0] * new_dims[2]);
 #endif

lite/kernels/opencl/lrn_image_compute.cc

@@ -65,7 +65,7 @@ class LrnImageCompute : public KernelLite<TARGET(kOpenCL),
     auto out_dims = out->dims();
     auto in_dims = x->dims();
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(4) << "x->target(): " << TargetToStr(x->target());
     VLOG(4) << "out->target(): " << TargetToStr(out->target());
     VLOG(4) << "x->dims(): " << in_dims;
@@ -84,7 +84,7 @@ class LrnImageCompute : public KernelLite<TARGET(kOpenCL),
     auto* out_img = out->mutable_data<half_t, cl::Image2D>(
         out_image_shape["width"], out_image_shape["height"]);
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     // VLOG(4) << "out_image" << out_img;
     VLOG(4) << "out_image_shape[w,h]:" << out_image_shape["width"] << " "
             << out_image_shape["height"];
@@ -102,7 +102,7 @@ class LrnImageCompute : public KernelLite<TARGET(kOpenCL),
                         DDim(std::vector<DDim::value_type>{
                             static_cast<int64_t>(out_image_shape["width"]),
                             static_cast<int64_t>(out_image_shape["height"])}));
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(4) << "default_work_size: " << default_work_size[0] << ", "
             << default_work_size[1] << ", " << default_work_size[3];
 #endif
@@ -136,7 +136,7 @@ class LrnImageCompute : public KernelLite<TARGET(kOpenCL),
         nullptr,
         nullptr);
     CL_CHECK_FATAL(status);
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(4) << "global_work_size:[2D]:" << global_work_size[0] << " "
             << global_work_size[1] << " " << global_work_size[2];
 #endif

lite/kernels/opencl/nearest_interp_image_compute.cc

@@ -89,7 +89,7 @@ class NearestInterpComputeImageDefault
     status = kernel.setArg(++arg_idx, static_cast<const int>(out_dims_w));
     CL_CHECK_FATAL(status);
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(4) << TargetToStr(param.X->target());
     VLOG(4) << TargetToStr(param.Out->target());
     VLOG(4) << "out_image_shape(w,h):" << out_image_shape["width"] << " "

lite/kernels/opencl/pad2d_image_compute.cc

@@ -73,7 +73,7 @@ class Pad2dCompute : public KernelLite<TARGET(kOpenCL),
     int out_h = out_dims[2];
     int out_w = out_dims[3];
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(4) << "x->target():" << TargetToStr(x->target());
     VLOG(4) << "out->target():" << TargetToStr(out->target());
     VLOG(4) << "x->dims():" << in_dims;
@@ -86,7 +86,7 @@ class Pad2dCompute : public KernelLite<TARGET(kOpenCL),
     auto* out_img = out->mutable_data<half_t, cl::Image2D>(
         out_image_shape["width"], out_image_shape["height"]);
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(4) << "out_image_shape[w,h]: " << out_image_shape["width"] << " "
             << out_image_shape["height"];
 
@@ -104,7 +104,7 @@ class Pad2dCompute : public KernelLite<TARGET(kOpenCL),
                         DDim(std::vector<DDim::value_type>{
                             static_cast<int64_t>(out_image_shape["width"]),
                             static_cast<int64_t>(out_image_shape["height"])}));
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(4) << "default_work_size: " << default_work_size[0] << ", "
             << default_work_size[1] << ", " << default_work_size[2];
 #endif
@@ -150,7 +150,7 @@ class Pad2dCompute : public KernelLite<TARGET(kOpenCL),
         nullptr,
         nullptr);
     CL_CHECK_FATAL(status);
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(4) << "global_work_size:[2D]:" << global_work_size[0] << " "
             << global_work_size[1] << " " << global_work_size[2];
 #endif

lite/kernels/opencl/pool_image_compute.cc

@@ -60,7 +60,7 @@ class PoolComputeImage2D : public KernelLite<TARGET(kOpenCL),
     std::vector<int> strides = param.strides;
     std::vector<int> ksize = param.ksize;
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(4) << "global_pooling: " << global_pooling;
     VLOG(4) << "pooling_type: " << pooling_type;
     VLOG(4) << "paddings : " << paddings[0] << "  " << paddings[1] << "  "
@@ -75,7 +75,7 @@ class PoolComputeImage2D : public KernelLite<TARGET(kOpenCL),
       }
     }
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(4) << "in_dims : [" << in_dims.size() << "]" << in_dims[0] << "  "
             << in_dims[1] << "  " << in_dims[2] << "  " << in_dims[3];
     VLOG(4) << "out_dims : [" << out_dims.size() << "]" << out_dims[0] << "  "
@@ -103,7 +103,7 @@ class PoolComputeImage2D : public KernelLite<TARGET(kOpenCL),
     //    VLOG(4) << "x_image" << x_img;
 
     auto out_image_shape = InitImageDimInfoWith(out_dims);
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(4) << "out_image_shape = " << out_image_shape["width"] << " "
             << out_image_shape["height"];
 #endif
@@ -119,7 +119,7 @@ class PoolComputeImage2D : public KernelLite<TARGET(kOpenCL),
     int w = out_dims[3];
     int nh = out_dims[0] * out_dims[2];
     auto global_work_size = cl::NDRange(c_block, w, nh);
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(4) << "global_work_size : [" << 3 << "]" << c_block << "  " << w
             << "  " << nh << "  ";
 #endif

lite/kernels/opencl/reshape_image_compute.cc

@@ -64,7 +64,7 @@ class ReshapeComputeFloatImage : public KernelLite<TARGET(kOpenCL),
         InitImageDimInfoWith(out_dims);
     cl::Image2D* const out_image = output->mutable_data<half_t, cl::Image2D>(
         out_image_shape.at("width"), out_image_shape.at("height"));
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(4) << "out_dims=   " << out_dims;
 #endif
     const std::vector<size_t>& default_work_size = DefaultWorkSize(
@@ -96,7 +96,7 @@ class ReshapeComputeFloatImage : public KernelLite<TARGET(kOpenCL),
     int out_Stride1 = out_H * out_W;
     int out_Stride2 = out_C * out_H * out_W;
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(4) << "out_C=" << out_C;
     VLOG(4) << "out_H=" << out_H;
     VLOG(4) << "out_W=" << out_W;
@@ -115,7 +115,7 @@ class ReshapeComputeFloatImage : public KernelLite<TARGET(kOpenCL),
     kernel_key << kernel_func_name_ << build_options_ << time_stamp_;
     auto kernel = context.cl_context()->GetKernel(kernel_key.str());
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
     VLOG(4) << TargetToStr(x->target());
     VLOG(4) << TargetToStr(param.output->target());
 #endif

lite/tools/build.bat

@@ -11,7 +11,7 @@ set BUILD_DIR=%source_path%
 set OPTMODEL_DIR=""
 set BUILD_TAILOR=OFF
 set BUILD_CV=OFF
-set SHUTDOWN_LOG=ON  
+set WITH_LOG=ON  
 
 set THIRDPARTY_TAR=https://paddle-inference-dist.bj.bcebos.com/PaddleLite/third-party-05b862.tar.gz
 

lite/tools/build.sh

@@ -21,7 +21,7 @@ BUILD_DIR=$(pwd)
 OPTMODEL_DIR=""
 BUILD_TAILOR=OFF
 BUILD_CV=OFF
-SHUTDOWN_LOG=ON
+WITH_LOG=ON
 BUILD_NPU=OFF
 NPU_DDK_ROOT="$(pwd)/ai_ddk_lib/" # Download HiAI DDK from https://developer.huawei.com/consumer/cn/hiai/
 BUILD_XPU=OFF
@@ -133,7 +133,7 @@ function make_tiny_publish_so {
       -DWITH_TESTING=OFF \
       -DLITE_WITH_JAVA=$BUILD_JAVA \
       -DLITE_WITH_PYTHON=$BUILD_PYTHON \
-      -DLITE_SHUTDOWN_LOG=$SHUTDOWN_LOG \
+      -DLITE_WITH_LOG=$WITH_LOG \
       -DLITE_ON_TINY_PUBLISH=ON \
       -DANDROID_STL_TYPE=$android_stl \
       -DLITE_BUILD_EXTRA=$BUILD_EXTRA \
@@ -189,7 +189,7 @@ function make_opencl {
       -DLITE_WITH_LIGHT_WEIGHT_FRAMEWORK=ON \
       -DWITH_TESTING=OFF \
       -DLITE_BUILD_EXTRA=$BUILD_EXTRA \
-      -DLITE_SHUTDOWN_LOG=$SHUTDOWN_LOG \
+      -DLITE_WITH_LOG=$WITH_LOG \
       -DLITE_WITH_CV=$BUILD_CV \
       -DARM_TARGET_OS=$1 -DARM_TARGET_ARCH_ABI=$2 -DARM_TARGET_LANG=$3
 
@@ -227,7 +227,7 @@ function make_full_publish_so {
       -DWITH_TESTING=OFF \
       -DLITE_WITH_JAVA=$BUILD_JAVA \
       -DLITE_WITH_PYTHON=$BUILD_PYTHON \
-      -DLITE_SHUTDOWN_LOG=$SHUTDOWN_LOG \
+      -DLITE_WITH_LOG=$WITH_LOG \
       -DANDROID_STL_TYPE=$android_stl \
       -DLITE_BUILD_EXTRA=$BUILD_EXTRA \
       -DLITE_WITH_CV=$BUILD_CV \
@@ -310,7 +310,7 @@ function make_ios {
             -DLITE_WITH_ARM=ON \
             -DWITH_TESTING=OFF \
             -DLITE_WITH_JAVA=OFF \
-            -DLITE_SHUTDOWN_LOG=ON \
+            -DLITE_WITH_LOG=ON \
             -DLITE_ON_TINY_PUBLISH=ON \
             -DLITE_WITH_OPENMP=OFF \
             -DWITH_ARM_DOTPROD=OFF \
@@ -414,7 +414,7 @@ function print_usage {
     echo -e "   ./build.sh --arm_os=<os> --arm_abi=<abi> --arm_lang=<lang> test"
     echo
     echo -e "optional argument:"
-    echo -e "--shutdown_log: (OFF|ON); controls whether to shutdown log, default is ON"
+    echo -e "--with_log: (OFF|ON); controls whether to print log information, default is ON"
     echo -e "--build_extra: (OFF|ON); controls whether to publish extra operators and kernels for (sequence-related model such as OCR or NLP)"
     echo -e "--build_train: (OFF|ON); controls whether to publish training operators and kernels, build_train is only for full_publish library now"
     echo -e "--build_python: (OFF|ON); controls whether to publish python api lib (ANDROID and IOS is not supported)"
@@ -493,8 +493,8 @@ function main {
                 BUILD_TAILOR="${i#*=}"
                 shift
                 ;;
-            --shutdown_log=*)
-                SHUTDOWN_LOG="${i#*=}"
+            --with_log=*)
+                WITH_LOG="${i#*=}"
                 shift
                 ;;
             --build_npu=*)

lite/tools/build_android.sh

@@ -16,7 +16,7 @@ WITH_JAVA=ON
 # controls whether to compile cv functions into lib, default is OFF.
 WITH_CV=OFF
 # controls whether to hide log information, default is ON.
-SHUTDOWN_LOG=ON
+WITH_LOG=ON
 # options of striping lib according to input model.
 OPTMODEL_DIR=""
 WITH_STRIP=OFF
@@ -144,7 +144,7 @@ function make_tiny_publish_so {
 
   local cmake_mutable_options="
       -DLITE_BUILD_EXTRA=$WITH_EXTRA \
-      -DLITE_SHUTDOWN_LOG=$SHUTDOWN_LOG \
+      -DLITE_WITH_LOG=$WITH_LOG \
       -DLITE_BUILD_TAILOR=$WITH_STRIP \
       -DLITE_OPTMODEL_DIR=$OPTMODEL_DIR \
       -DLITE_WITH_JAVA=$WITH_JAVA \
@@ -193,7 +193,7 @@ function make_full_publish_so {
 
   local cmake_mutable_options="
       -DLITE_BUILD_EXTRA=$WITH_EXTRA \
-      -DLITE_SHUTDOWN_LOG=$SHUTDOWN_LOG \
+      -DLITE_WITH_LOG=$WITH_LOG \
       -DLITE_BUILD_TAILOR=$WITH_STRIP \
       -DLITE_OPTMODEL_DIR=$OPTMODEL_DIR \
       -DLITE_WITH_JAVA=$WITH_JAVA \
@@ -236,7 +236,7 @@ function print_usage {
     echo -e "|     --android_stl: (c++_static|c++_shared|gnu_static|gnu_shared), default is c++_static                                              |"
     echo -e "|     --with_java: (OFF|ON); controls whether to publish java api lib, default is ON                                                   |"
     echo -e "|     --with_cv: (OFF|ON); controls whether to compile cv functions into lib, default is OFF                                           |"
-    echo -e "|     --shutdown_log: (OFF|ON); controls whether to hide log information, default is ON                                                |"
+    echo -e "|     --with_log: (OFF|ON); controls whether to print log information, default is ON                                                |"
     echo -e "|     --with_extra: (OFF|ON); controls whether to publish extra operators and kernels for (sequence-related model such as OCR or NLP)  |"
     echo -e "|                                                                                                                                      |"
     echo -e "|  arguments of striping lib according to input model:(armv8, gcc, c++_static)                                                         |"
@@ -315,8 +315,8 @@ function main {
                 shift
                 ;;
             # ON or OFF, default ON
-            --shutdown_log=*)
-                SHUTDOWN_LOG="${i#*=}"
+            --with_log=*)
+                WITH_LOG="${i#*=}"
                 shift
                 ;;
             # compiling lib which can operate on opencl and cpu.

lite/tools/build_ios.sh

@@ -11,7 +11,7 @@ WITH_EXTRA=OFF
 # controls whether to compile cv functions into lib, default is OFF.
 WITH_CV=OFF
 # controls whether to hide log information, default is ON.
-SHUTDOWN_LOG=ON
+WITH_LOG=ON
 # absolute path of Paddle-Lite.
 workspace=$PWD/$(dirname $0)/../../
 # options of striping lib according to input model.
@@ -67,7 +67,7 @@ function make_ios {
             -DLITE_WITH_OPENMP=OFF \
             -DWITH_ARM_DOTPROD=OFF \
             -DLITE_WITH_LIGHT_WEIGHT_FRAMEWORK=ON \
-            -DLITE_SHUTDOWN_LOG=$SHUTDOWN_LOG \
+            -DLITE_WITH_LOG=$WITH_LOG \
             -DLITE_BUILD_TAILOR=$WITH_STRIP \
             -DLITE_OPTMODEL_DIR=$OPTMODEL_DIR \
             -DARM_TARGET_ARCH_ABI=$abi \
@@ -94,7 +94,7 @@ function print_usage {
     echo -e "|  optional argument:                                                                                                                  |"
     echo -e "|     --arm_abi: (armv8|armv7), default is armv8                                                                                       |"
     echo -e "|     --with_cv: (OFF|ON); controls whether to compile cv functions into lib, default is OFF                                           |"
-    echo -e "|     --shutdown_log: (OFF|ON); controls whether to hide log information, default is ON                                                |"
+    echo -e "|     --with_log: (OFF|ON); controls whether to print log information, default is ON                                                |"
     echo -e "|     --with_extra: (OFF|ON); controls whether to publish extra operators and kernels for (sequence-related model such as OCR or NLP)  |"
     echo -e "|                                                                                                                                      |"
     echo -e "|  arguments of striping lib according to input model:(armv8, gcc, c++_static)                                                         |"
@@ -136,8 +136,8 @@ function main {
                 WITH_STRIP="${i#*=}"
                 shift
                 ;;
-            --shutdown_log=*)
-                SHUTDOWN_LOG="${i#*=}"
+            --with_log=*)
+                WITH_LOG="${i#*=}"
                 shift
                 ;;
             help)

lite/tools/build_linux.sh

@@ -52,12 +52,13 @@ readonly CMAKE_COMMON_OPTIONS="-DWITH_LITE=ON \
                             -DWITH_TESTING=OFF"
 # mutable options for linux compiling.
 function init_cmake_mutable_options {
+
     cmake_mutable_options="-DARM_TARGET_ARCH_ABI=$ARCH \
                         -DARM_TARGET_LANG=$TOOLCHAIN \
                         -DLITE_BUILD_EXTRA=$WITH_EXTRA \
                         -DLITE_WITH_PYTHON=$WITH_PYTHON \
                         -DLITE_WITH_CV=$WITH_CV \
-                        -DLITE_SHUTDOWN_LOG=$SHUTDOWN_LOG \
+                        -DLITE_WITH_LOG=$WITH_LOG \
                         -DLITE_BUILD_TAILOR=$WITH_STRIP \
                         -DLITE_OPTMODEL_DIR=$OPTMODEL_DIR \
                         -DLITE_WITH_OPENCL=$WITH_OPENCL \

lite/tools/build_npu.sh

@@ -11,7 +11,7 @@ TARGET_NAME="test_subgraph_pass"    # default target
 BUILD_EXTRA=OFF                     # ON(with sequence ops)/OFF
 WITH_JAVA=ON                        # ON(build jar and jni so)/OFF
 WITH_TESTING=ON                     # ON/OFF
-SHUTDOWN_LOG=OFF                    # ON(disable logging)/OFF
+WITH_LOG=ON                         # ON(disable logging)/OFF
 ON_TINY_PUBLISH=OFF                 # ON(tiny publish)/OFF(full publish)
 
 function print_usage {
@@ -76,7 +76,7 @@ function build_npu {
     fi
     if [[ "${ON_TINY_PUBLISH}" == "ON" ]]; then
         WITH_TESTING=OFF
-        SHUTDOWN_LOG=ON
+        WITH_LOG=OFF
         publish_dir="tiny_publish"
     else
         publish_dir="full_publish"
@@ -99,7 +99,7 @@ function build_npu {
         -DLITE_WITH_LIGHT_WEIGHT_FRAMEWORK=ON \
         -DWITH_TESTING=${WITH_TESTING} \
         -DLITE_WITH_JAVA=${WITH_JAVA} \
-        -DLITE_SHUTDOWN_LOG=${SHUTDOWN_LOG} \
+        -DLITE_WITH_LOG=${WITH_LOG} \
         -DLITE_WITH_NPU=ON \
         -DLITE_ON_TINY_PUBLISH=${ON_TINY_PUBLISH} \
         -DANDROID_API_LEVEL=24 \

lite/tools/build_rknpu.sh

@@ -8,8 +8,8 @@ ARM_LANG="gcc"                      # gcc only yet
 DDK_ROOT="$(pwd)/rknpu"       
 TARGET_NAME="test_subgraph_pass"    # default target
 BUILD_EXTRA=OFF                     # ON(with sequence ops)/OFF
-WITH_TESTING=ON 	            # ON/OFF
-SHUTDOWN_LOG=OFF                    # ON(disable logging)/OFF
+WITH_TESTING=ON     	            # ON/OFF
+WITH_LOG=ON                         # ON(disable logging)/OFF
 ON_TINY_PUBLISH=OFF                 # ON(tiny publish)/OFF(full publish)
 
 function print_usage {
@@ -65,7 +65,7 @@ function build_npu {
     local publish_dir
     if [[ "${ON_TINY_PUBLISH}" == "ON" ]]; then
         WITH_TESTING=OFF
-        SHUTDOWN_LOG=ON
+        WITH_LOG=OFF
         publish_dir="tiny_publish"
     else
         publish_dir="full_publish"
@@ -89,7 +89,7 @@ function build_npu {
         -DWITH_ARM_DOTPROD=ON   \
         -DLITE_BUILD_EXTRA=${BUILD_EXTRA} \
         -DWITH_TESTING=${WITH_TESTING} \
-        -DLITE_SHUTDOWN_LOG=${SHUTDOWN_LOG} \
+        -DLITE_WITH_LOG=${WITH_LOG} \
         -DLITE_ON_TINY_PUBLISH=${ON_TINY_PUBLISH} \
         -DARM_TARGET_OS=${ARM_OS} \
         -DARM_TARGET_ARCH_ABI=${ARM_ABI} \

lite/tools/ci_build.sh

@@ -118,7 +118,7 @@ function cmake_opencl {
         -DLITE_WITH_LIGHT_WEIGHT_FRAMEWORK=ON \
         -DWITH_TESTING=ON \
         -DLITE_BUILD_EXTRA=ON \
-        -DLITE_SHUTDOWN_LOG=OFF \
+        -DLITE_WITH_LOG=ON \
         -DLITE_WITH_CV=OFF \
         -DARM_TARGET_OS=$1 -DARM_TARGET_ARCH_ABI=$2 -DARM_TARGET_LANG=$3
 }
@@ -653,7 +653,7 @@ function build_ios {
             -DLITE_WITH_ARM=ON \
             -DWITH_TESTING=OFF \
             -DLITE_WITH_JAVA=OFF \
-            -DLITE_SHUTDOWN_LOG=ON \
+            -DLITE_WITH_LOG=OFF \
             -DLITE_ON_TINY_PUBLISH=ON \
             -DLITE_WITH_OPENMP=OFF \
             -DWITH_ARM_DOTPROD=OFF \
@@ -1000,7 +1000,7 @@ function mobile_publish {
         -DLITE_WITH_LIGHT_WEIGHT_FRAMEWORK=ON \
         -DWITH_TESTING=OFF \
         -DLITE_WITH_JAVA=ON \
-        -DLITE_SHUTDOWN_LOG=ON \
+        -DLITE_WITH_LOG=OFF \
         -DLITE_ON_TINY_PUBLISH=ON \
         -DARM_TARGET_OS=${os} -DARM_TARGET_ARCH_ABI=${abi} -DARM_TARGET_LANG=${lang}
 

lite/utils/CMakeLists.txt

@@ -3,7 +3,7 @@
 # else()
 # endif()
 
-if(LITE_WITH_LIGHT_WEIGHT_FRAMEWORK OR LITE_ON_MODEL_OPTIMIZE_TOOL OR LITE_SHUTDOWN_LOG)
+if(LITE_WITH_LIGHT_WEIGHT_FRAMEWORK OR LITE_ON_MODEL_OPTIMIZE_TOOL OR (NOT LITE_WITH_LOG))
   lite_cc_library(logging SRCS logging.cc)
   set(utils_DEPS logging)
   lite_cc_test(test_logging SRCS logging_test.cc DEPS ${utils_DEPS})

lite/utils/cp_logging.h

@@ -14,7 +14,7 @@
 
 #pragma once
 #if defined(LITE_WITH_LIGHT_WEIGHT_FRAMEWORK) || \
-    defined(LITE_ON_MODEL_OPTIMIZE_TOOL) || defined(LITE_SHUTDOWN_LOG)
+    defined(LITE_ON_MODEL_OPTIMIZE_TOOL) || !defined(LITE_WITH_LOG)
 #include "lite/utils/logging.h"
 #else  // LITE_WITH_LIGHT_WEIGHT_FRAMEWORK
 #include <glog/logging.h>

lite/utils/logging.cc

@@ -22,7 +22,7 @@
 
 #if defined(LITE_WITH_LIGHT_WEIGHT_FRAMEWORK) || \
     defined(LITE_ON_MODEL_OPTIMIZE_TOOL)
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
 
 namespace paddle {
 namespace lite {
@@ -60,5 +60,5 @@ void gen_log(STL::ostream& log_stream_,
 }  // namespace lite
 }  // namespace paddle
 
-#endif  // LITE_SHUTDOWN_LOG
+#endif  // LITE_WITH_LOG
 #endif  // LITE_WITH_LIGHT_FRAMEWORK

lite/utils/logging.h

@@ -46,7 +46,7 @@
 // NOLINTFILE()
 
 // LOG()
-#ifdef LITE_SHUTDOWN_LOG
+#ifndef LITE_WITH_LOG
 #define LOG(status) LOG_##status
 #define LOG_INFO paddle::lite::Voidify()
 #define LOG_ERROR LOG_INFO
@@ -62,7 +62,7 @@
   paddle::lite::LogMessageFatal(__FILE__, __FUNCTION__, __LINE__)
 #endif
 
-#ifdef LITE_SHUTDOWN_LOG
+#ifndef LITE_WITH_LOG
 #define VLOG(level) paddle::lite::Voidify()
 #else
 // VLOG()
@@ -72,7 +72,7 @@
 
 // CHECK()
 // clang-format off
-#ifdef LITE_SHUTDOWN_LOG
+#ifndef LITE_WITH_LOG
 #define CHECK(x) if (!(x)) paddle::lite::VoidifyFatal()
 #define _CHECK_BINARY(x, cmp, y) CHECK(x cmp y)
 #else
@@ -91,7 +91,7 @@
 namespace paddle {
 namespace lite {
 
-#ifndef LITE_SHUTDOWN_LOG
+#ifdef LITE_WITH_LOG
 void gen_log(STL::ostream& log_stream_,
              const char* file,
              const char* func,

lite/utils/replace_stl/stream.cc

@@ -37,7 +37,7 @@ void ostream::pad(const std::string& text) {
   }
 }
 
-#ifdef LITE_SHUTDOWN_LOG
+#ifndef LITE_WITH_LOG
 #define ADD_DATA_AS_STRING(data_, obj_)
 #else
 #define ADD_DATA_AS_STRING(data_, obj_)    \