From 10b4dfd8e9ccd7a03df7bb053ee1c644cb37f8ab Mon Sep 17 00:00:00 2001
From: David Beck <david.beck@arm.com>
Date: Wed, 19 Sep 2018 12:03:20 +0100
Subject: IVGCVSW-1897 : build infrastructure for the src/backends folder

Change-Id: I7ebafb675ccc77ad54d1deb01412a8379a5356bb
---
 src/backends/CpuTensorHandle.hpp | 171 +++++++++++++++++++++++++++++++++++++++
 1 file changed, 171 insertions(+)
 create mode 100644 src/backends/CpuTensorHandle.hpp

(limited to 'src/backends/CpuTensorHandle.hpp')

diff --git a/src/backends/CpuTensorHandle.hpp b/src/backends/CpuTensorHandle.hpp
new file mode 100644
index 0000000000..541beefde6
--- /dev/null
+++ b/src/backends/CpuTensorHandle.hpp
@@ -0,0 +1,171 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+#pragma once
+#include "CpuTensorHandleFwd.hpp"
+
+#include "armnn/TypesUtils.hpp"
+
+#include "OutputHandler.hpp"
+
+#include <algorithm>
+
+namespace armnn
+{
+
+// Abstract tensor handles wrapping a CPU-readable region of memory, interpreting it as tensor data.
+class ConstCpuTensorHandle : public ITensorHandle
+{
+public:
+    template <typename T>
+    const T* GetConstTensor() const
+    {
+        BOOST_ASSERT(GetTensorInfo().GetDataType() == GetDataType<T>());
+        return reinterpret_cast<const T*>(m_Memory);
+    }
+
+    const TensorInfo& GetTensorInfo() const
+    {
+        return m_TensorInfo;
+    }
+
+    virtual ITensorHandle::Type GetType() const override
+    {
+        return ITensorHandle::Cpu;
+    }
+
+    virtual void Manage() override {}
+
+    virtual ITensorHandle* GetParent() const override { return nullptr; }
+
+    virtual const void* Map(bool /* blocking = true */) const override { return m_Memory; }
+    virtual void Unmap() const override {}
+
+    TensorShape GetStrides() const override
+    {
+        TensorShape shape(m_TensorInfo.GetShape());
+        auto size = GetDataTypeSize(m_TensorInfo.GetDataType());
+        auto runningSize = size;
+        std::vector<unsigned int> strides(shape.GetNumDimensions());
+        auto lastIdx = shape.GetNumDimensions()-1;
+        for (unsigned int i=0; i < lastIdx ; i++)
+        {
+            strides[lastIdx-i] = runningSize;
+            runningSize *= shape[lastIdx-i];
+        }
+        strides[0] = runningSize;
+        return TensorShape(shape.GetNumDimensions(), strides.data());
+    }
+    TensorShape GetShape() const override { return m_TensorInfo.GetShape(); }
+
+protected:
+    ConstCpuTensorHandle(const TensorInfo& tensorInfo);
+
+    void SetConstMemory(const void* mem) { m_Memory = mem; }
+
+private:
+    ConstCpuTensorHandle(const ConstCpuTensorHandle& other) = delete;
+    ConstCpuTensorHandle& operator=(const ConstCpuTensorHandle& other) = delete;
+
+    TensorInfo m_TensorInfo;
+    const void* m_Memory;
+};
+
+// Abstract specialization of ConstCpuTensorHandle that allows write access to the same data.
+class CpuTensorHandle : public ConstCpuTensorHandle
+{
+public:
+    template <typename T>
+    T* GetTensor() const
+    {
+        BOOST_ASSERT(GetTensorInfo().GetDataType() == GetDataType<T>());
+        return reinterpret_cast<T*>(m_MutableMemory);
+    }
+
+protected:
+    CpuTensorHandle(const TensorInfo& tensorInfo);
+
+    void SetMemory(void* mem)
+    {
+        m_MutableMemory = mem;
+        SetConstMemory(m_MutableMemory);
+    }
+
+private:
+
+    CpuTensorHandle(const CpuTensorHandle& other) = delete;
+    CpuTensorHandle& operator=(const CpuTensorHandle& other) = delete;
+    void* m_MutableMemory;
+};
+
+// A CpuTensorHandle that owns the wrapped memory region.
+class ScopedCpuTensorHandle : public CpuTensorHandle
+{
+public:
+    explicit ScopedCpuTensorHandle(const TensorInfo& tensorInfo);
+
+    // Copies contents from Tensor.
+    explicit ScopedCpuTensorHandle(const ConstTensor& tensor);
+
+    // Copies contents from ConstCpuTensorHandle
+    explicit ScopedCpuTensorHandle(const ConstCpuTensorHandle& tensorHandle);
+
+    ScopedCpuTensorHandle(const ScopedCpuTensorHandle& other);
+    ScopedCpuTensorHandle& operator=(const ScopedCpuTensorHandle& other);
+    ~ScopedCpuTensorHandle();
+
+    virtual void Allocate() override;
+
+private:
+    void CopyFrom(const ScopedCpuTensorHandle& other);
+    void CopyFrom(const void* srcMemory, unsigned int numBytes);
+};
+
+// A CpuTensorHandle that wraps an already allocated memory region.
+//
+// Clients must make sure the passed in memory region stays alive for the lifetime of
+// the PassthroughCpuTensorHandle instance.
+//
+// Note there is no polymorphism to/from ConstPassthroughCpuTensorHandle.
+class PassthroughCpuTensorHandle : public CpuTensorHandle
+{
+public:
+    PassthroughCpuTensorHandle(const TensorInfo& tensorInfo, void* mem)
+    :   CpuTensorHandle(tensorInfo)
+    {
+        SetMemory(mem);
+    }
+
+    virtual void Allocate() override;
+};
+
+// A ConstCpuTensorHandle that wraps an already allocated memory region.
+//
+// This allows users to pass in const memory to a network.
+// Clients must make sure the passed in memory region stays alive for the lifetime of
+// the PassthroughCpuTensorHandle instance.
+//
+// Note there is no polymorphism to/from PassthroughCpuTensorHandle.
+class ConstPassthroughCpuTensorHandle : public ConstCpuTensorHandle
+{
+public:
+    ConstPassthroughCpuTensorHandle(const TensorInfo& tensorInfo, const void* mem)
+    :   ConstCpuTensorHandle(tensorInfo)
+    {
+        SetConstMemory(mem);
+    }
+
+    virtual void Allocate() override;
+};
+
+
+// Template specializations.
+
+template <>
+const void* ConstCpuTensorHandle::GetConstTensor() const;
+
+template <>
+void* CpuTensorHandle::GetTensor() const;
+
+} // namespace armnn
-- 
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