1 files changed, 107 insertions, 0 deletions
diff --git a/src/backends/reference/workloads/SpaceToDepth.cpp b/src/backends/reference/workloads/SpaceToDepth.cpp
new file mode 100644
index 0000000000..4a4f4183d9
--- /dev/null
+++ b/src/backends/reference/workloads/SpaceToDepth.cpp
@@ -0,0 +1,107 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "SpaceToDepth.hpp"
+
+#include <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