1 files changed, 0 insertions, 107 deletions
diff --git a/src/backends/reference/workloads/SpaceToDepth.cpp b/src/backends/reference/workloads/SpaceToDepth.cpp
deleted file mode 100644
index 604a9051af..0000000000
--- a/src/backends/reference/workloads/SpaceToDepth.cpp
+++ /dev/null
@@ -1,107 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include "SpaceToDepth.hpp"
-
-#include <armnnUtils/DataLayoutIndexed.hpp>
-
-using namespace armnnUtils;
-
-namespace {
-    unsigned int GetOffset(const armnn::TensorShape& shape,
-        unsigned int c,
-        unsigned int h,
-        unsigned int w,
-        unsigned int b,
-        const DataLayoutIndexed& dataLayout)
-    {
-        if (dataLayout.GetDataLayout() == armnn::DataLayout::NHWC)
-        {
-            return ((b * shape[dataLayout.GetHeightIndex()] + h) * shape[dataLayout.GetWidthIndex()] + w) *
-                shape[dataLayout.GetChannelsIndex()] + c;
-        }
-        else
-        {
-            return ((b * shape[dataLayout.GetChannelsIndex()] + c) * shape[dataLayout.GetHeightIndex()] + h) *
-                shape[dataLayout.GetWidthIndex()] + w;
-        }
-    }
-}
-
-namespace armnn
-{
-
-void SpaceToDepth(const TensorInfo& inputInfo,
-                  const TensorInfo& outputInfo,
-                  const SpaceToDepthDescriptor& params,
-                  Decoder<float>& inputData,
-                  Encoder<float>& outputData)
-{
-    DataLayoutIndexed dataLayout = params.m_DataLayout;
-
-    const TensorShape& inputShape = inputInfo.GetShape();
-    const TensorShape& outputShape = outputInfo.GetShape();
-
-    const unsigned int inputBatchSize = inputShape[0];
-    const unsigned int inputChannels = inputShape[dataLayout.GetChannelsIndex()];
-
-    const unsigned int outputHeight = outputShape[dataLayout.GetHeightIndex()];
-    const unsigned int outputWidth = outputShape[dataLayout.GetWidthIndex()];
-    const unsigned int outputChannels = outputShape[dataLayout.GetChannelsIndex()];
-
-    const unsigned int blockSize = params.m_BlockSize;
-
-    if (blockSize == 0)
-    {
-        throw InvalidArgumentException(
-            "Input shape must be divisible by block size in all spatial dimensions: Block size is"
-            " equal to zero");
-    }
-
-    for (unsigned int outChannelIndex = 0; outChannelIndex < outputChannels; outChannelIndex++)
-    {
-        unsigned int inChannelIndex = outChannelIndex % inputChannels;
-
-        unsigned int shiftW = (outChannelIndex / inputChannels) % blockSize;
-        unsigned int shiftH = (outChannelIndex / inputChannels) / blockSize;
-
-        for (unsigned int outH = 0; outH < outputHeight; outH++)
-        {
-            for (unsigned int outW = 0; outW < outputWidth; outW++)
-            {
-                for (unsigned int inBatchIndex = 0; inBatchIndex < inputBatchSize; inBatchIndex++)
-                {
-                    unsigned int inOffset = GetOffset(inputShape,
-                        inChannelIndex,
-                        (outH * blockSize + shiftH),
-                        (outW * blockSize + shiftW),
-                        inBatchIndex,
-                        dataLayout);
-
-                    unsigned int outOffset = GetOffset(outputShape,
-                        outChannelIndex,
-                        outH,
-                        outW,
-                        inBatchIndex,
-                        dataLayout);
-
-                    outputData += outOffset;
-                    inputData += inOffset;
-                    outputData.Set(inputData.Get());
-                    inputData -= inOffset;
-                    outputData -= outOffset;
-                }
-            }
-        }
-    }
-}
-
-void SpaceToDepth(const TensorInfo& inputInfo,
-    const TensorInfo& outputInfo,
-    const SpaceToDepthDescriptor& params,
-    Decoder<float>& inputData,
-    Encoder<float>& outData);
-
-} //namespace armnn