IVGCVSW-4447 Add Hal 1_3 Support

* Add new 1.3 files HalPolicy, ArmnnDriver, ArmnnDriverImpl
* Add new .rc file for 1.3 service
* Add ArmnnPreparedModel_1_3 and implement new functions
* Update Android.mk with 1.3 driver and service
* Refactor ifdef to include ARMNN_ANDROID_NN_V1_3
* Create Utils getMainModel for new 1.3 Model Main Subgraph
* Use android Utils to convertToV1_X in ArmnnPrepapredModel_1_3
* Refactor HAL 1.2 convert functions into ConversionUtils_1_2.hpp
* Replace ArmnnBurstExecutorWithCache with call to ExecutionBurstServer

Signed-off-by: Kevin May <kevin.may@arm.com>
Change-Id: I514069e9e1b16bcd1c4abfb5d563d25ac22d02e3
diff --git a/1.3/HalPolicy.hpp b/1.3/HalPolicy.hpp
new file mode 100644
index 0000000..f7771a6
--- /dev/null
+++ b/1.3/HalPolicy.hpp
@@ -0,0 +1,150 @@
+//
+// Copyright © 2020 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include "../ConversionUtils.hpp"
+#include "../ConversionUtils_1_2.hpp"
+
+#include <HalInterfaces.h>
+
+#include <armnn/Types.hpp>
+
+namespace V1_3 = ::android::hardware::neuralnetworks::V1_3;
+
+namespace armnn_driver
+{
+namespace hal_1_3
+{
+
+class HalPolicy
+{
+public:
+    using Model                     = V1_3::Model;
+    using Operand                   = V1_3::Operand;
+    using OperandLifeTime           = V1_3::OperandLifeTime;
+    using OperandType               = V1_3::OperandType;
+    using Operation                 = V1_3::Operation;
+    using OperationType             = V1_3::OperationType;
+    using ExecutionCallback         = V1_3::IExecutionCallback;
+    using getSupportedOperations_cb = V1_3::IDevice::getSupportedOperations_1_3_cb;
+    using ErrorStatus               = V1_3::ErrorStatus;
+
+    static bool ConvertOperation(const Operation& operation, const Model& model, ConversionData& data);
+
+private:
+    static bool ConvertAdd(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertArgMinMax(const Operation& operation,
+                                 const Model& model,
+                                 ConversionData& data,
+                                 armnn::ArgMinMaxFunction argMinMaxFunction);
+
+    static bool ConvertAveragePool2d(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertBatchToSpaceNd(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertComparison(const Operation& operation,
+                                  const Model& model,
+                                  ConversionData& data,
+                                  armnn::ComparisonOperation comparisonOperation);
+
+    static bool ConvertConcatenation(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertConv2d(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertDepthToSpace(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertDepthwiseConv2d(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertDequantize(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertDiv(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertElementwiseUnary(const Operation& operation,
+                                        const Model& model,
+                                        ConversionData& data,
+                                        armnn::UnaryOperation unaryOperation);
+
+    static bool ConvertExpandDims(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertFloor(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertFullyConnected(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertGroupedConv2d(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertInstanceNormalization(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertL2Normalization(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertL2Pool2d(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertLocalResponseNormalization(const Operation& operation,
+                                                  const Model& model,
+                                                  ConversionData& data);
+
+    static bool ConvertLogistic(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertLogSoftmax(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertLstm(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertMaxPool2d(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertMaximum(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertMean(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertMinimum(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertMul(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertPad(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertPadV2(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertPrelu(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertQuantize(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertQuantizedLstm(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertReLu(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertReLu1(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertReLu6(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertReshape(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertResize(const Operation& operation,
+                              const Model& model,
+                              ConversionData& data,
+                              armnn::ResizeMethod resizeMethod);
+
+    static bool ConvertSoftmax(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertSpaceToBatchNd(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertSpaceToDepth(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertSqrt(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertSqueeze(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertStridedSlice(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertSub(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertTanH(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertTranspose(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertTransposeConv2d(const Operation& operation, const Model& model, ConversionData& data);
+};
+
+} // namespace hal_1_3
+} // namespace armnn_driver