IVGCVSW-1898 : Ref backend folder structure

* Reference backend is renamed to backends/reference as per
  https://confluence.arm.com/display/MLENG/Pluggable+backends

Change-Id: I27a13c274eb60995dfb459e3c49c0e2f60bcd32c

1 files changed, 91 insertions, 0 deletions

diff --git a/src/backends/reference/workloads/Activation.cpp b/src/backends/reference/workloads/Activation.cpp
new file mode 100644
index 0000000000..ef4903074b
--- /dev/null
+++ b/src/backends/reference/workloads/Activation.cpp
@@ -0,0 +1,91 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "Activation.hpp"
+
+#include <boost/log/trivial.hpp>
+
+#include <cmath>
+
+namespace armnn
+{
+
+void Activation(const float* in,
+               float* out,
+               const TensorInfo& tensorInfo,
+               ActivationFunction function,
+               float a,
+               float b)
+{
+    for (size_t i = 0; i<tensorInfo.GetNumElements(); i++)
+    {
+        float input = in[i];
+        float output;
+
+        // Compute the result of the activation function.
+        switch (function)
+        {
+            case ActivationFunction::Linear:
+            {
+                output = a * input + b;
+                break;
+            }
+            case ActivationFunction::Sigmoid:
+            {
+                output = 1.f / (1.f + expf(-input));
+                break;
+            }
+            case ActivationFunction::ReLu:
+            {
+                output = std::max(0.f, input);
+                break;
+            }
+            case ActivationFunction::BoundedReLu:
+            {
+                output = std::min(a, std::max(b, input));
+                break;
+            }
+            case ActivationFunction::SoftReLu:
+            {
+                output = logf(1.0f + expf(input));
+                break;
+            }
+            case ActivationFunction::LeakyReLu:
+            {
+                output = input > 0.0f ? input : (input * a);
+                break;
+            }
+            case ActivationFunction::Abs:
+            {
+                output = input < 0 ? -input : input;
+                break;
+            }
+            case ActivationFunction::Sqrt:
+            {
+                output = sqrtf(input);
+                break;
+            }
+            case ActivationFunction::Square:
+            {
+                output = input * input;
+                break;
+            }
+            case ActivationFunction::TanH:
+            {
+                output = a * tanhf(b * input);
+                break;
+            }
+            default:
+            {
+                BOOST_LOG_TRIVIAL(error) << "Unsupported activation function";
+                return;
+            }
+        }
+
+        out[i] = output;
+    }
+}
+
+} //namespace armnn