1 files changed, 164 insertions, 0 deletions
diff --git a/shim/sl/canonical/Converter.hpp b/shim/sl/canonical/Converter.hpp
new file mode 100644
index 0000000000..8549289d69
--- /dev/null
+++ b/shim/sl/canonical/Converter.hpp
@@ -0,0 +1,164 @@
+//
+// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include "ConversionUtils.hpp"
+
+#include <nnapi/OperandTypes.h>
+#include <nnapi/Result.h>
+#include <nnapi/Types.h>
+
+#include <armnn/Types.hpp>
+using namespace armnn;
+
+namespace armnn_driver
+{
+
+class Converter
+{
+
+public:
+    using Model                     = ::android::nn::Model;
+    using Operand                   = ::android::nn::Operand;
+    using OperandLifeTime           = ::android::nn::Operand::LifeTime;
+    using OperandType               = ::android::nn::OperandType;
+    using Operation                 = ::android::nn::Operation;
+    using OperationType             = ::android::nn::OperationType;
+    using ErrorStatus               = ::android::nn::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 ConvertCast(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 ConvertElu(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertExpandDims(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertFill(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 ConvertGather(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertGroupedConv2d(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertHardSwish(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 ConvertLogicalBinary(const Operation& operation,
+                                     const Model& model,
+                                     ConversionData& data,
+                                     armnn::LogicalBinaryOperation logicalOperation);
+
+    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 ConvertQuantized16BitLstm(const Operation& operation, const Model& model, ConversionData& data);
+
+    static bool ConvertRank(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 armnn_driver