[ahub] Init uninit member variable

 - Initialize uninit member variable

**Self evaluation:**
1. Build test: [X]Passed [ ]Failed [ ]Skipped
2. Run test: [X]Passed [ ]Failed [ ]Skipped

Signed-off-by: hyeonseok lee <hs89.lee@samsung.com>

diff --git a/nnstreamer/tensor_filter/tensor_filter_nntrainer.cc b/nnstreamer/tensor_filter/tensor_filter_nntrainer.cc
index 5d52dc0acf5f0be49cf5e4b20a4e1012f983dd91..1c3c4509a7cf6982e7e31f65e426d01959edd493 100644 (file)
--- a/nnstreamer/tensor_filter/tensor_filter_nntrainer.cc
+++ b/nnstreamer/tensor_filter/tensor_filter_nntrainer.cc
@@ -79,6 +79,7 @@ static ml::train::TensorDim to_nntr_tensor_dim(const GstTensorInfo *info) {
 }
 
 NNTrainerInference::NNTrainerInference(const std::string &model_config_) :
+  batch_size(1),
   model_config(model_config_) {
   loadModel();
   model->compile();

diff --git a/test/unittest/unittest_nntrainer_models.cpp b/test/unittest/unittest_nntrainer_models.cpp
index 069d116090ea356c497716aea72f4b2fe8d495df..746b5a37bc552d80df334102d861b2ecbdfb2172 100644 (file)
--- a/test/unittest/unittest_nntrainer_models.cpp
+++ b/test/unittest/unittest_nntrainer_models.cpp
@@ -536,7 +536,10 @@ class nntrainerModelTest
                  ModelTestOption /**< Options which test to run */>> {
 
 protected:
-  nntrainerModelTest() : iteration(0), name("") {}
+  nntrainerModelTest() :
+    iteration(0),
+    name(""),
+    options(ModelTestOption::MINIMUM) {}
   virtual void SetUp() {
     auto param = GetParam();