1 files changed, 72 insertions, 0 deletions
diff --git a/include/armnn/backends/ITensorHandleFactory.hpp b/include/armnn/backends/ITensorHandleFactory.hpp
new file mode 100644
index 0000000000..2e4742301b
--- /dev/null
+++ b/include/armnn/backends/ITensorHandleFactory.hpp
@@ -0,0 +1,72 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include <armnn/IRuntime.hpp>
+#include <armnn/MemorySources.hpp>
+#include <armnn/Types.hpp>
+#include "ITensorHandle.hpp"
+
+#include <boost/core/ignore_unused.hpp>
+
+namespace armnn
+{
+
+class ITensorHandleFactory
+{
+public:
+    using FactoryId = std::string;
+    static const FactoryId LegacyFactoryId;   // Use the workload factory to create the tensor handle
+    static const FactoryId DeferredFactoryId; // Some TensorHandleFactory decisions are deferred to run-time
+
+    virtual ~ITensorHandleFactory() {}
+
+    virtual std::unique_ptr<ITensorHandle> CreateSubTensorHandle(ITensorHandle& parent,
+                                                                 TensorShape const& subTensorShape,
+                                                                 unsigned int const* subTensorOrigin) const = 0;
+
+    virtual std::unique_ptr<ITensorHandle> CreateTensorHandle(const TensorInfo& tensorInfo) const = 0;
+
+    virtual std::unique_ptr<ITensorHandle> CreateTensorHandle(const TensorInfo& tensorInfo,
+                                                              DataLayout dataLayout) const = 0;
+
+    // Utility Functions for backends which require TensorHandles to have unmanaged memory.
+    // These should be overloaded if required to facilitate direct import of input tensors
+    // and direct export of output tensors.
+    virtual std::unique_ptr<ITensorHandle> CreateTensorHandle(const TensorInfo& tensorInfo,
+                                                              const bool IsMemoryManaged) const
+    {
+        boost::ignore_unused(IsMemoryManaged);
+        return CreateTensorHandle(tensorInfo);
+    }
+
+    virtual std::unique_ptr<ITensorHandle> CreateTensorHandle(const TensorInfo& tensorInfo,
+                                                              DataLayout dataLayout,
+                                                              const bool IsMemoryManaged) const
+    {
+        boost::ignore_unused(IsMemoryManaged);
+        return CreateTensorHandle(tensorInfo, dataLayout);
+    }
+
+    virtual const FactoryId& GetId() const = 0;
+
+    virtual bool SupportsSubTensors() const = 0;
+
+    virtual bool SupportsMapUnmap() const final { return true; }
+
+    virtual MemorySourceFlags GetExportFlags() const { return 0; }
+    virtual MemorySourceFlags GetImportFlags() const { return 0; }
+};
+
+enum class EdgeStrategy
+{
+    Undefined,              /// No strategy has been defined. Used internally to verify integrity of optimizations.
+    DirectCompatibility,    /// Destination backend can work directly with tensors on source backend.
+    ExportToTarget,         /// Source backends tensor data can be exported to destination backend tensor without copy.
+    CopyToTarget            /// Copy contents from source backend tensor to destination backend tensor.
+};
+
+} //namespace armnn