[opencl lib] Fix opencl android demo (#3082)

* test=develop

* test=develop

lite/kernels/opencl/conv_image_compute.cc

@@ -263,9 +263,9 @@ void ConvImageCompute::Conv2d1x1() {
           << input_image_shape["height"];
   VLOG(4) << "input_c_block: " << input_c_block;
   VLOG(4) << "input_c: " << input_c;
-  VLOG(4) << "input_image: " << input_image;
+  //  VLOG(4) << "input_image: " << input_image;
   VLOG(4) << "filter_dims: " << filter_dims;
-  VLOG(4) << "filter_image: " << filter_image;
+  //  VLOG(4) << "filter_image: " << filter_image;
   VLOG(4) << "output_dims: " << output_dims;
   VLOG(4) << "out_image_shape: " << out_image_shape["width"] << ", "
           << out_image_shape["height"];
@@ -352,7 +352,7 @@ void ConvImageCompute::Conv2d1x1() {
                   static_cast<size_t>(maped_w),
                   static_cast<size_t>(default_work_size.data()[2])};
 
-  VLOG(4) << "out_image: " << out_image;
+  //  VLOG(4) << "out_image: " << out_image;
   VLOG(4) << "global_work_size[3D]: {" << global_work_size[0] << ","
           << global_work_size[1] << "," << global_work_size[2] << "}";
 
@@ -434,10 +434,10 @@ void ConvImageCompute::Conv2d3x3() {
           << input_image_shape["height"];
   VLOG(4) << "input_c_block: " << input_c_block;
   VLOG(4) << "input_c: " << input_c;
-  VLOG(4) << "input_image: " << input_image;
+  //  VLOG(4) << "input_image: " << input_image;
   VLOG(4) << "input_dims: " << input_dims;
   VLOG(4) << "filter_dims: " << filter_dims;
-  VLOG(4) << "filter_image: " << filter_image;
+  //  VLOG(4) << "filter_image: " << filter_image;
   VLOG(4) << "output_dims: " << output_dims;
   VLOG(4) << "out_image_shape: " << out_image_shape["width"] << ", "
           << out_image_shape["height"];
@@ -529,7 +529,7 @@ void ConvImageCompute::Conv2d3x3() {
                   static_cast<size_t>(default_work_size.data()[1]),
                   static_cast<size_t>(default_work_size.data()[2])};
 
-  VLOG(4) << "out_image: " << out_image;
+  //  VLOG(4) << "out_image: " << out_image;
   VLOG(4) << "global_work_size[3D]: {" << global_work_size[0] << ","
           << global_work_size[1] << "," << global_work_size[2] << "}";
 
@@ -591,10 +591,10 @@ void ConvImageCompute::Conv2d5x5() {
           << input_image_shape["height"];
   VLOG(4) << "input_c_block: " << input_c_block;
   VLOG(4) << "input_c: " << input_c;
-  VLOG(4) << "input_image: " << input_image;
+  //  VLOG(4) << "input_image: " << input_image;
   VLOG(4) << "input_dims: " << input_dims;
   VLOG(4) << "filter_dims: " << filter_dims;
-  VLOG(4) << "filter_image: " << filter_image;
+  //  VLOG(4) << "filter_image: " << filter_image;
   VLOG(4) << "output_dims: " << output_dims;
   VLOG(4) << "out_image_shape: " << out_image_shape["width"] << ", "
           << out_image_shape["height"];
@@ -674,7 +674,7 @@ void ConvImageCompute::Conv2d5x5() {
                   static_cast<size_t>(default_work_size.data()[1]),
                   static_cast<size_t>(default_work_size.data()[2])};
 
-  VLOG(4) << "out_image: " << out_image;
+  //  VLOG(4) << "out_image: " << out_image;
   VLOG(4) << "global_work_size[3D]: {" << global_work_size[0] << ","
           << global_work_size[1] << "," << global_work_size[2] << "}";
 
@@ -736,10 +736,10 @@ void ConvImageCompute::Conv2d7x7() {
           << input_image_shape["height"];
   VLOG(4) << "input_c_block: " << input_c_block;
   VLOG(4) << "input_c: " << input_c;
-  VLOG(4) << "input_image: " << input_image;
+  //  VLOG(4) << "input_image: " << input_image;
   VLOG(4) << "input_dims: " << input_dims;
   VLOG(4) << "filter_dims: " << filter_dims;
-  VLOG(4) << "filter_image: " << filter_image;
+  //  VLOG(4) << "filter_image: " << filter_image;
   VLOG(4) << "output_dims: " << output_dims;
   VLOG(4) << "out_image_shape: " << out_image_shape["width"] << ", "
           << out_image_shape["height"];
@@ -819,7 +819,7 @@ void ConvImageCompute::Conv2d7x7() {
                   static_cast<size_t>(default_work_size.data()[1]),
                   static_cast<size_t>(default_work_size.data()[2])};
 
-  VLOG(4) << "out_image: " << out_image;
+  //  VLOG(4) << "out_image: " << out_image;
   VLOG(4) << "global_work_size[3D]: {" << global_work_size[0] << ","
           << global_work_size[1] << "," << global_work_size[2] << "}";
 
@@ -1051,9 +1051,9 @@ void ConvImageCompute::DepthwiseConv2d() {
           << input_image_shape["height"];
   VLOG(4) << "input_c_block: " << input_c_block;
   VLOG(4) << "input_c: " << input_c;
-  VLOG(4) << "input_image: " << input_image;
+  //  VLOG(4) << "input_image: " << input_image;
   VLOG(4) << "filter_dims: " << filter_dims;
-  VLOG(4) << "filter_image: " << filter_image;
+  //  VLOG(4) << "filter_image: " << filter_image;
   VLOG(4) << "output_dims: " << output_dims;
   VLOG(4) << "out_image_shape: " << out_image_shape["width"] << ", "
           << out_image_shape["height"];
@@ -1139,7 +1139,7 @@ void ConvImageCompute::DepthwiseConv2d() {
                   static_cast<size_t>(default_work_size.data()[1]),
                   static_cast<size_t>(default_work_size.data()[2])};
 
-  VLOG(4) << "out_image: " << out_image;
+  //  VLOG(4) << "out_image: " << out_image;
   VLOG(4) << "global_work_size[3D]: {" << global_work_size[0] << ","
           << global_work_size[1] << "," << global_work_size[2] << "}";
 

lite/kernels/opencl/pool_image_compute.cc

@@ -91,14 +91,14 @@ class PoolComputeImage2D : public KernelLite<TARGET(kOpenCL),
     CHECK(context.cl_context() != nullptr);
 
     auto* x_img = param.x->data<half_t, cl::Image2D>();
-    VLOG(4) << "x_image" << x_img;
+    //    VLOG(4) << "x_image" << x_img;
 
     auto out_image_shape = InitImageDimInfoWith(out_dims);
     VLOG(4) << "out_image_shape = " << out_image_shape["width"] << " "
             << out_image_shape["height"];
     auto* out_img = param.output->mutable_data<half_t, cl::Image2D>(
         out_image_shape["width"], out_image_shape["height"]);
-    VLOG(4) << "out_image" << out_img;
+    //    VLOG(4) << "out_image" << out_img;
 
     STL::stringstream kernel_key;
     kernel_key << kernel_func_name_ << build_options_;

lite/kernels/opencl/scale_image_compute.cc

@@ -48,13 +48,13 @@ class ScaleComputeImage2D : public KernelLite<TARGET(kOpenCL),
     const float scale = param.scale;
     const float bias = param.bias;
 
-    LOG(INFO) << "x_image" << x_img;
+    //    LOG(INFO) << "x_image" << x_img;
     auto out_image_shape = InitImageDimInfoWith(in_dims);
     LOG(INFO) << "out_image_shape = " << out_image_shape["width"] << " "
               << out_image_shape["height"];
     auto* out_img = param.output->mutable_data<half_t, cl::Image2D>(
         out_image_shape["width"], out_image_shape["height"]);
-    LOG(INFO) << "out_image" << out_img;
+    //    LOG(INFO) << "out_image" << out_img;
 
     auto& context = ctx_->As<OpenCLContext>();
     CHECK(context.cl_context() != nullptr);

lite/tools/build.sh

@@ -158,7 +158,8 @@ function make_opencl {
       -DLITE_ON_TINY_PUBLISH=ON \
       -DLITE_WITH_LIGHT_WEIGHT_FRAMEWORK=ON \
       -DWITH_TESTING=OFF \
-      -DLITE_BUILD_EXTRA=ON \
+      -DLITE_BUILD_EXTRA=$BUILD_EXTRA \
+      -DLITE_WITH_CV=$BUILD_CV \
       -DARM_TARGET_OS=$1 -DARM_TARGET_ARCH_ABI=$2 -DARM_TARGET_LANG=$3
 
     make opencl_clhpp -j$NUM_PROC

lite/tools/ci_build.sh

@@ -194,7 +194,7 @@ function build_opencl {
     build $TESTS_FILE
 
     # test publish inference lib
-    make publish_inference
+    make publish_inference -j$NUM_CORES_FOR_COMPILE
 }
 
 # This method is only called in CI.