Update tensorflow to v1.12 (#3486)

* Update external package

- Update external package version
- Update cmake to build tflite
- Add gitignore for new external code

* Update library to support tflite

- Update nnapi delegate
- Update NeuralNetworksShim.h for new API
- Fix cmake for new files in updated tensorflow
- Workaround: Introduce OBS_BUILD flag to avoid gbs build fail

* Update neurun CPU kernel

- Update neurun CPU kernel to call updated tflite interpreter kernel
- Add build option -fPIC for updated tflite kernel

Signed-off-by: Hyeongseok Oh <hseok82.oh@samsung.com>

2 files changed, 44 insertions, 2 deletions

diff --git a/include/NeuralNetworksShim.h b/include/NeuralNetworksShim.h
index a7bd745fb..b310a44cd 100644
--- a/include/NeuralNetworksShim.h
+++ b/include/NeuralNetworksShim.h
@@ -14,7 +14,7 @@ See the License for the specific language governing permissions and
 limitations under the License.
 ==============================================================================*/
 
-// NOTE This header is derived from the following file (in TensorFlow)
+// NOTE This header is derived from the following file (in TensorFlow v1.12)
 //       'externals/tensorflow/tensorflow/contrib/lite/nnapi/NeuralNetworksShim.h'
 #ifndef __NEURAL_NETWORKS_SHIM__
 #define __NEURAL_NETWORKS_SHIM__
@@ -68,6 +68,9 @@ typedef int (*ANeuralNetworksModel_identifyInputsAndOutputs_fn)(
     ANeuralNetworksModel* model, uint32_t inputCount, const uint32_t* inputs,
     uint32_t outputCount, const uint32_t* outputs);
 
+typedef int (*ANeuralNetworksModel_relaxComputationFloat32toFloat16_fn)(
+    ANeuralNetworksModel* model, bool allow);
+
 typedef int (*ANeuralNetworksExecution_create_fn)(
     ANeuralNetworksCompilation* compilation,
     ANeuralNetworksExecution** execution);
@@ -360,6 +363,34 @@ inline int ANeuralNetworksModel_identifyInputsAndOutputs(
 }
 
 /**
+ * Specifies whether {@link ANEURALNETWORKS_TENSOR_FLOAT32} is allowed to be
+ * calculated with range and/or precision as low as that of the IEEE 754 16-bit
+ * floating-point format. By default, {@link ANEURALNETWORKS_TENSOR_FLOAT32}
+ * must be calculated using at least the range and precision of the IEEE 754
+ * 32-bit floating-point format.
+ *
+ * @param model The model to be modified.
+ * @param allow 'true' indicates {@link ANEURALNETWORKS_TENSOR_FLOAT32} may be
+ *              calculated with range and/or precision as low as that of the
+ *              IEEE 754 16-bit floating point format. 'false' indicates
+ *              {@link ANEURALNETWORKS_TENSOR_FLOAT32} must be calculated using
+ *              at least the range and precision of the IEEE 754 32-bit floating
+ *              point format.
+ *
+ * Attempting to modify a model once {@link ANeuralNetworksModel_finish} has
+ * been called will return an error.
+ *
+ * Available since API level 28.
+ *
+ * See {@link ANeuralNetworksModel} for information on multithreaded usage.
+ */
+inline int ANeuralNetworksModel_relaxComputationFloat32toFloat16(
+    ANeuralNetworksModel* model, bool allow) {
+  LOAD_FUNCTION(ANeuralNetworksModel_relaxComputationFloat32toFloat16);
+  EXECUTE_FUNCTION_RETURN(model, allow);
+}
+
+/**
  * Create a {@link ANeuralNetworksCompilation} to compile the given model.
  * This only creates the object. Compilation is only performed once
  * {@link ANeuralNetworksCompilation_start} is invoked.
diff --git a/include/support/tflite/nnapi_delegate.h b/include/support/tflite/nnapi_delegate.h
index a5da8ac39..b396d77f2 100644
--- a/include/support/tflite/nnapi_delegate.h
+++ b/include/support/tflite/nnapi_delegate.h
@@ -17,18 +17,24 @@ limitations under the License.
 // NOTE To minimize diff with upstream tensorflow, disable clang-format
 // clang-format off
 
-// NOTE This header is derived from the following file (in TensorFlow)
+// NOTE This header is derived from the following file (in TensorFlow v1.12)
 //        'externals/tensorflow/tensorflow/contrib/lite/nnapi_delegate.h'
 #ifndef __NNFW_SUPPORT_TFLITE_NNAPI_DELEGATE_H__
 #define __NNFW_SUPPORT_TFLITE_NNAPI_DELEGATE_H__
 
 #include "tensorflow/contrib/lite/allocation.h"
+#ifdef OBS_BUILD
 #include "tensorflow/contrib/lite/context.h"
 #include "tensorflow/contrib/lite/error_reporter.h"
+#else
+#include "tensorflow/contrib/lite/c/c_api_internal.h"
+#include "tensorflow/contrib/lite/core/api/error_reporter.h"
+#endif
 #include "tensorflow/contrib/lite/interpreter.h"
 #include "NeuralNetworksShim.h"
 
 class ANeuralNetworksModel;
+class ANeuralNetworksMemory;
 class ANeuralNetworksCompilation;
 
 namespace nnfw {
@@ -62,11 +68,16 @@ class NNAPIDelegate {
   // Run
   TfLiteStatus Invoke(::tflite::Interpreter* interpreter);
 
+  // Whether the current platform supports NNAPI delegation.
+  static bool IsSupported();
+
  private:
   // The NN API model handle
   ANeuralNetworksModel* nn_model_ = nullptr;
   // The NN API compilation handle
   ANeuralNetworksCompilation* nn_compiled_model_ = nullptr;
+  // Model status
+  TfLiteStatus model_status_ = kTfLiteOk;
 
   // List of state tensors for LSTM, RNN, SVDF.
   // NN API does not allow ops to maintain states across multiple