From c577f2c6a3b4ddb6ba87a882723c53a248afbeba Mon Sep 17 00:00:00 2001
From: telsoa01 <telmo.soares@arm.com>
Date: Fri, 31 Aug 2018 09:22:23 +0100
Subject: Release 18.08

---
 src/armnn/optimizations/ConvertConstants.hpp | 98 ++++++++++++++++++++++++++++
 1 file changed, 98 insertions(+)
 create mode 100644 src/armnn/optimizations/ConvertConstants.hpp

(limited to 'src/armnn/optimizations/ConvertConstants.hpp')

diff --git a/src/armnn/optimizations/ConvertConstants.hpp b/src/armnn/optimizations/ConvertConstants.hpp
new file mode 100644
index 0000000000..d2dd650665
--- /dev/null
+++ b/src/armnn/optimizations/ConvertConstants.hpp
@@ -0,0 +1,98 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// See LICENSE file in the project root for full license information.
+//
+
+#pragma once
+
+#include "Optimization.hpp"
+#include "backends/CpuTensorHandle.hpp"
+#include "Half.hpp"
+#include "FloatingPointConverter.hpp"
+
+namespace armnn
+{
+namespace optimizations
+{
+
+struct Float16ToFloat32
+{
+    static void Func(std::unique_ptr<ScopedCpuTensorHandle>& handle)
+    {
+        const TensorInfo& info = handle->GetTensorInfo();
+
+        if (info.GetDataType() == DataType::Float16)
+        {
+            std::vector<float> newValues(info.GetNumElements());
+
+            armnnUtils::FloatingPointConverter::ConvertFloat16To32(handle->GetTensor<Half>(),
+                                                                   info.GetNumElements(),
+                                                                   newValues.data());
+
+            TensorInfo newInfo(info.GetShape(), DataType::Float32);
+            ConstTensor newInput(newInfo, newValues);
+            handle.reset(new ScopedCpuTensorHandle(newInput));
+        }
+    }
+};
+
+struct Float32ToFloat16
+{
+    static void Func(std::unique_ptr<ScopedCpuTensorHandle>& handle)
+    {
+        const TensorInfo& info = handle->GetTensorInfo();
+
+        if (info.GetDataType() == DataType::Float32)
+        {
+            std::vector<Half> newValues(info.GetNumElements());
+
+            armnnUtils::FloatingPointConverter::ConvertFloat32To16(handle->GetTensor<float>(),
+                                                                   info.GetNumElements(),
+                                                                   newValues.data());
+
+            TensorInfo newInfo(info.GetShape(), DataType::Float16);
+            ConstTensor newInput(newInfo, newValues);
+            handle.reset(new ScopedCpuTensorHandle(newInput));
+        }
+    }
+};
+
+template<typename Converter, typename Predicate>
+class ConvertConstants : public Optimization
+{
+public:
+    ConvertConstants() = default;
+    ConvertConstants(const ConvertConstants&) = default;
+    virtual ~ConvertConstants() = default;
+
+    void Run(Graph& graph, Layer& layer) const override
+    {
+        if (Predicate::Test(layer))
+        {
+            layer.OperateOnConstantTensors(Converter::Func);
+        }
+    }
+protected:
+};
+
+struct IsFloat32Layer
+{
+    static bool Test(const Layer& layer)
+    {
+        return layer.GetDataType() == DataType::Float32;
+    }
+};
+
+struct IsFloat16Layer
+{
+    static bool Test(const Layer& layer)
+    {
+        return layer.GetDataType() == DataType::Float16;
+    }
+};
+
+using ConvertConstantsHalfToFloat = ConvertConstants<Float16ToFloat32, IsFloat32Layer>;
+using ConvertConstantsFloatToHalf = ConvertConstants<Float32ToFloat16, IsFloat16Layer>;
+
+} //namespace optimizations
+} //namespace armnn
-- 
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