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, 0 insertions, 49 deletions

diff --git a/src/backends/RefWorkloads/Softmax.cpp b/src/backends/RefWorkloads/Softmax.cpp
deleted file mode 100644
index 4f1016e86c..0000000000
--- a/src/backends/RefWorkloads/Softmax.cpp
+++ /dev/null
@@ -1,49 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include "Softmax.hpp"
-
-#include <cmath>
-#include <vector>
-
-namespace armnn
-{
-
-/// Computes the softmax function on some inputs, into outputs, with a shape given by tensorInfo.
-void Softmax(const float* in, float* out, const TensorInfo& tensorInfo, float beta)
-{
-    unsigned int numChannels = tensorInfo.GetShape()[1];
-    for (unsigned int n = 0; n < tensorInfo.GetShape()[0]; n++)
-    {
-        // Find maximum channel.
-        float max = in[n * numChannels];
-        for (unsigned int c = 1; c < numChannels; c++)
-        {
-            float val = in[n * numChannels + c];
-            if (val > max)
-            {
-                max = val;
-            }
-        }
-
-        // Exponentiate all values and sum.
-        std::vector<float> exponentials(numChannels);
-        float              sum = 0.0f;
-        for (unsigned int c = 0; c < numChannels; c++)
-        {
-            float val       = in[n * numChannels + c];
-            exponentials[c] = expf((val - max) * beta);
-            sum += exponentials[c];
-        }
-
-        // Divide exponentials by sum to give outputs.
-        for (unsigned int c = 0; c < numChannels; c++)
-        {
-            out[n * numChannels + c] = exponentials[c] / sum;
-        }
-    }
-}
-
-} //namespace armnn