mv_inference: Change a function name from SetPluginType to SetPrivateData

This patch changes a function name from SetPluginType to SetPrivateData
to utilize it as more purposes which may be needed to pass some backend
private data to a given backend before loading a model file.

And also this patch makes IInferenceEngineCommon to become interface class
by declaring SetPrivateData funtion as a pure virtual function.

Change-Id: Icc0db970ca2b9d44e3954c50e837ebccc996b83d
Signed-off-by: Inki Dae <inki.dae@samsung.com>

diff --git a/include/inference_engine_common.h b/include/inference_engine_common.h
index be6b037..1897c38 100755 (executable)
--- a/include/inference_engine_common.h
+++ b/include/inference_engine_common.h
@@ -31,14 +31,14 @@ public:
     virtual ~IInferenceEngineCommon() {};
 
     /**
-     * @brief Set a tensor filter plugin type.
-     * @details See #inference_backend_type_e
-     *          This callback passes a tensor filter plugin type - NNFW or VIVANTE to a tensor filter plugin for NNStreamer.
+     * @brief Set backend private data if needed.
+     * @details This callback passes a backend private data to a given backend.
+        *                      I.e., ML Single API backend needs which tensor filter type of NNStreamer should be used such as NNFW or VIVANTE.
      *
-     * @since_tizen 6.0 (Optional)
-     * @param[in] type This could be one among plugin types enumerated on inference_backend_type_e.
+     * @since_tizen 6.0
+     * @param[in] data This could be backend specific data object.
      */
-       virtual int SetPluginType(const int type = 0) { return type; }
+    virtual int SetPrivateData(void *data) = 0;
 
     /**
      * @brief Set target devices.

diff --git a/src/inference_engine_common_impl.cpp b/src/inference_engine_common_impl.cpp
index a3e0d52..6666cce 100755 (executable)
--- a/src/inference_engine_common_impl.cpp
+++ b/src/inference_engine_common_impl.cpp
@@ -198,7 +198,7 @@ int InferenceEngineCommon::InitBackendEngine(const std::string &backend_path, in
 
        // If a backend is ML Single API of NNStreamer or NNFW then set a tensor filter plugin type.
        if (backend_type == INFERENCE_BACKEND_NNFW || backend_type == INFERENCE_BACKEND_MLAPI) {
-               int ret = mBackendHandle->SetPluginType(backend_type);
+               int ret = mBackendHandle->SetPrivateData(&backend_type);
                if (ret != INFERENCE_ENGINE_ERROR_NONE) {
                        LOGE("Failed to set a tensor filter plugin.");
                        return INFERENCE_ENGINE_ERROR_NOT_SUPPORTED;