1 files changed, 123 insertions, 0 deletions
diff --git a/shim/sl/canonical/CanonicalUtils.hpp b/shim/sl/canonical/CanonicalUtils.hpp
new file mode 100644
index 0000000000..a509684153
--- /dev/null
+++ b/shim/sl/canonical/CanonicalUtils.hpp
@@ -0,0 +1,123 @@
+//
+// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+#include <armnn/ArmNN.hpp>
+
+#include <CpuExecutor.h>
+#include <nnapi/OperandTypes.h>
+#include <nnapi/Result.h>
+#include <nnapi/Types.h>
+
+#include <vector>
+#include <string>
+#include <fstream>
+#include <iomanip>
+
+namespace armnn_driver
+{
+
+using namespace android::nn;
+
+extern const armnn::PermutationVector g_DontPermute;
+
+template <typename OperandType>
+class UnsupportedOperand: public std::runtime_error
+{
+public:
+    UnsupportedOperand(const OperandType type)
+        : std::runtime_error("Operand type is unsupported")
+        , m_type(type)
+    {}
+
+    OperandType m_type;
+};
+
+/// Swizzles tensor data in @a input according to the dimension mappings.
+void SwizzleAndroidNn4dTensorToArmNn(armnn::TensorInfo& tensor,
+                                     const void* input,
+                                     void* output,
+                                     const armnn::PermutationVector& mappings);
+
+/// Returns a pointer to a specific location in a pool`
+void* GetMemoryFromPool(DataLocation location,
+                        const std::vector<android::nn::RunTimePoolInfo>& memPools);
+
+void* GetMemoryFromPointer(const Request::Argument& requestArg);
+
+armnn::TensorInfo GetTensorInfoForOperand(const Operand& operand);
+
+std::string GetOperandSummary(const Operand& operand);
+
+bool isQuantizedOperand(const OperandType& operandType);
+
+std::string GetModelSummary(const Model& model);
+
+void DumpTensor(const std::string& dumpDir,
+                const std::string& requestName,
+                const std::string& tensorName,
+                const armnn::ConstTensor& tensor);
+
+void DumpJsonProfilingIfRequired(bool gpuProfilingEnabled,
+                                 const std::string& dumpDir,
+                                 armnn::NetworkId networkId,
+                                 const armnn::IProfiler* profiler);
+
+std::string ExportNetworkGraphToDotFile(const armnn::IOptimizedNetwork& optimizedNetwork,
+                                        const std::string& dumpDir);
+
+std::string SerializeNetwork(const armnn::INetwork& network,
+                             const std::string& dumpDir,
+                             std::vector<uint8_t>& dataCacheData,
+                             bool dataCachingActive = true);
+
+void RenameExportedFiles(const std::string& existingSerializedFileName,
+                         const std::string& existingDotFileName,
+                         const std::string& dumpDir,
+                         const armnn::NetworkId networkId);
+
+void RenameFile(const std::string& existingName,
+                const std::string& extension,
+                const std::string& dumpDir,
+                const armnn::NetworkId networkId);
+
+/// Checks if a tensor info represents a dynamic tensor
+bool IsDynamicTensor(const armnn::TensorInfo& outputInfo);
+
+/// Checks for ArmNN support of dynamic tensors.
+bool AreDynamicTensorsSupported(void);
+
+std::string GetFileTimestamp();
+
+inline OutputShape ComputeShape(const armnn::TensorInfo& info)
+{
+    OutputShape shape;
+
+    armnn::TensorShape tensorShape = info.GetShape();
+    // Android will expect scalars as a zero dimensional tensor
+    if(tensorShape.GetDimensionality() == armnn::Dimensionality::Scalar)
+    {
+         shape.dimensions = std::vector<uint32_t>{};
+    }
+    else
+    {
+        std::vector<uint32_t> dimensions;
+        const unsigned int numDims = tensorShape.GetNumDimensions();
+        dimensions.resize(numDims);
+        for (unsigned int outputIdx = 0u; outputIdx < numDims; ++outputIdx)
+        {
+            dimensions[outputIdx] = tensorShape[outputIdx];
+        }
+        shape.dimensions = dimensions;
+    }
+
+    shape.isSufficient = true;
+
+    return shape;
+}
+
+void CommitPools(std::vector<::android::nn::RunTimePoolInfo>& memPools);
+
+} // namespace armnn_driver