disable lite by default

test=develop

CMakeLists.txt

@@ -80,7 +80,7 @@ option(WITH_FAST_MATH   "Make use of fast math library, might affect the precisi
 option(WITH_DGC   "Use DGC(Deep Gradient Compression) or not" ON)
 
 # for lite, both server and mobile framework.
-option(WITH_LITE "Enable lite framework" ON)
+option(WITH_LITE "Enable lite framework" OFF)
 option(LITE_WITH_CUDA "Enable CUDA in lite mode" OFF)
 option(LITE_WITH_X86  "Enable X86 in lite mode" ON)
 option(LITE_WITH_LIGHT_WEIGHT_FRAMEWORK  "Enable light-weight framework" OFF)

paddle/fluid/lite/api/light_api_test.cc

@@ -26,7 +26,7 @@ TEST(LightAPI, load) {
   predictor.Build(FLAGS_optimized_model);
 
   auto* input_tensor = predictor.GetInput(0);
-  input_tensor->Resize(DDimLite(std::vector<int64_t>({100, 100})));
+  input_tensor->Resize(DDim(std::vector<int64_t>({100, 100})));
   auto* data = input_tensor->mutable_data<float>();
   for (int i = 0; i < 100 * 100; i++) {
     data[i] = i;
@@ -39,13 +39,13 @@ TEST(LightAPI, load) {
 }  // namespace paddle
 
 USE_LITE_OP(mul);
-// USE_LITE_OP(fc);
-// USE_LITE_OP(scale);
+USE_LITE_OP(fc);
+USE_LITE_OP(scale);
 USE_LITE_OP(feed);
 USE_LITE_OP(fetch);
 USE_LITE_OP(io_copy);
-// USE_LITE_KERNEL(fc, kHost, kFloat, kNCHW, def);
-// USE_LITE_KERNEL(mul, kHost, kFloat, kNCHW, def);
-// USE_LITE_KERNEL(scale, kHost, kFloat, kNCHW, def);
+USE_LITE_KERNEL(fc, kHost, kFloat, kNCHW, def);
+USE_LITE_KERNEL(mul, kHost, kFloat, kNCHW, def);
+USE_LITE_KERNEL(scale, kHost, kFloat, kNCHW, def);
 USE_LITE_KERNEL(feed, kHost, kAny, kAny, def);
 USE_LITE_KERNEL(fetch, kHost, kAny, kAny, def);

paddle/fluid/lite/core/CMakeLists.txt

-cc_library(lite_gtest_main SRCS lite_gtest_main.cc)
+cc_library(lite_gtest_main SRCS lite_gtest_main.cc DEPS gtest)
 cc_library(memory_lite SRCS memory.cc DEPS target_wrapper_lite target_wrapper_host)
 cc_library(target_wrapper_lite SRCS target_wrapper.cc)