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+# Prepare nnpackage
+
+## Convert tensorflow pb file to nnpackage
+Follow the [compiler guide](https://github.sec.samsung.net/STAR/nnfw/blob/master/docs/nncc/Release_2019/tutorial.md) to generate nnpackge from tensorflow pb file
+
+## Convert tflite file to nnpackage
+Please see [model2nnpkg](https://github.sec.samsung.net/STAR/nnfw/tree/master/tools/nnpackage_tool/model2nnpkg) for converting from tflite model file.
+
+# Build app with nnfw API
+
+Here are basic steps to build app with [nnfw C API](https://github.sec.samsung.net/STAR/nnfw/blob/master/runtime/neurun/api/include/nnfw.h)
+
+1) Initialize nnfw_session
+``` c
+nnfw_session *session = nullptr;
+nnfw_create_session(&session);
+```
+2) Load nnpackage
+``` c
+nnfw_load_model_from_file(session, nnpackage_path);
+```
+3) (Optional) Assign a specific backend to operations
+``` c
+  // Use acl_neon backend for CONV_2D and acl_cl for otherwise.
+  // Note that defalut backend is acl_cl
+  nnfw_set_op_backend(session, "CONV_2D", "acl_neon");
+```
+
+4) Compilation
+``` c
+  // Compile model
+  nnfw_prepare(session);
+```
+
+5) Prepare Input/Output
+``` c
+  // Prepare input. Here we just allocate dummy input arrays.
+  std::vector<float> input;
+  nnfw_tensorinfo ti;
+  nnfw_input_tensorinfo(session, 0, &ti); // get first input's info
+  uint32_t input_elements = num_elems(&ti);
+  input.resize(input_elements);
+  // TODO: Please add initialization for your input.
+  nnfw_set_input(session, 0, ti.dtype, input.data(), sizeof(float) * input_elements);
+
+  // Prepare output
+  std::vector<float> output;
+  nnfw_output_tensorinfo(session, 0, &ti); // get first output's info
+  uint32_t output_elements = num_elems(&ti);
+  output.resize(output_elements);
+  nnfw_set_output(session, 0, ti.dtype, output.data(), sizeof(float) * output_elements);
+```
+6) Inference
+``` c
+  // Do inference
+  nnfw_run(session);
+```
+## Run Inference with app on the target devices
+reference app : [minimal app](https://github.sec.samsung.net/STAR/nnfw/blob/master/runtime/neurun/sample/minimal)
+
+```
+$ ./minimal path_to_nnpackage_directory
+```