1 files changed, 0 insertions, 62 deletions
diff --git a/src/armnn/backends/RefWorkloads/FullyConnected.cpp b/src/armnn/backends/RefWorkloads/FullyConnected.cpp
deleted file mode 100644
index bf5814d2ad..0000000000
--- a/src/armnn/backends/RefWorkloads/FullyConnected.cpp
+++ /dev/null
@@ -1,62 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include "FullyConnected.hpp"
-
-#include <boost/assert.hpp>
-
-namespace armnn
-{
-
-void FullyConnected(const float*      inputData,
-                    float*            outputData,
-                    const TensorInfo& inputTensorInfo,
-                    const TensorInfo& outputTensorInfo,
-                    const float*      weightData,
-                    const float*      biasData,
-                    bool              transposeWeights)
-{
-    unsigned int N = outputTensorInfo.GetShape()[1]; // Outputs Vector Size.
-
-    BOOST_ASSERT(inputTensorInfo.GetNumDimensions() > 1); // Needs some data.
-
-    unsigned int K = 1; // Total number of activations in the input.
-    for (unsigned int i = 1; i < inputTensorInfo.GetNumDimensions(); i++)
-    {
-        K *= inputTensorInfo.GetShape()[i];
-    }
-
-    for (unsigned int n = 0; n < inputTensorInfo.GetShape()[0]; n++)
-    {
-        for (unsigned int channelOutput = 0; channelOutput < N; channelOutput++)
-        {
-            float outval = 0.f;
-
-            for (unsigned int channelInput = 0; channelInput < K; channelInput++)
-            {
-                float weight;
-                if (transposeWeights)
-                {
-                    weight = weightData[channelOutput * K + channelInput];
-                }
-                else
-                {
-                    weight = weightData[channelInput * N + channelOutput];
-                }
-
-                outval += weight * inputData[n * K + channelInput];
-            }
-
-            if (biasData)
-            {
-                outval += biasData[channelOutput];
-            }
-
-            outputData[n * N + channelOutput] = outval;
-        }
-    }
-}
-
-} //namespace armnn