IVGCVSW-1897 : build infrastructure for the src/backends folder

Change-Id: I7ebafb675ccc77ad54d1deb01412a8379a5356bb

1 files changed, 0 insertions, 91 deletions

diff --git a/src/armnn/backends/RefWorkloads/Activation.cpp b/src/armnn/backends/RefWorkloads/Activation.cpp
deleted file mode 100644
index ef4903074b..0000000000
--- a/src/armnn/backends/RefWorkloads/Activation.cpp
+++ /dev/null
@@ -1,91 +0,0 @@
-//
-// 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