From 972af1568372f243f241b58fa07f0d3a7f991d1e Mon Sep 17 00:00:00 2001
From: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Date: Tue, 11 Jun 2019 14:14:03 +0100
Subject: IVGCVSW-3258 Add front end support for new SpaceToDepth layer

Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: Id677e29a734f2b36483d939ad370079bdc11551e
---
 src/armnn/layers/SpaceToDepthLayer.cpp | 85 ++++++++++++++++++++++++++++++++++
 1 file changed, 85 insertions(+)
 create mode 100644 src/armnn/layers/SpaceToDepthLayer.cpp

(limited to 'src/armnn/layers/SpaceToDepthLayer.cpp')

diff --git a/src/armnn/layers/SpaceToDepthLayer.cpp b/src/armnn/layers/SpaceToDepthLayer.cpp
new file mode 100644
index 0000000000..b24490f82f
--- /dev/null
+++ b/src/armnn/layers/SpaceToDepthLayer.cpp
@@ -0,0 +1,85 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "SpaceToDepthLayer.hpp"
+
+#include "LayerCloneBase.hpp"
+
+#include <armnn/TypesUtils.hpp>
+
+#include <backendsCommon/WorkloadData.hpp>
+#include <backendsCommon/WorkloadFactory.hpp>
+
+#include <DataLayoutIndexed.hpp>
+
+#include <numeric>
+
+using namespace armnnUtils;
+
+namespace armnn
+{
+
+SpaceToDepthLayer::SpaceToDepthLayer(const SpaceToDepthDescriptor param, const char* name)
+    : LayerWithParameters(1, 1, LayerType::SpaceToDepth, param, name)
+{}
+
+std::unique_ptr<IWorkload> SpaceToDepthLayer::CreateWorkload(const Graph& graph,
+                                                             const IWorkloadFactory& factory) const
+{
+    SpaceToDepthQueueDescriptor descriptor;
+    descriptor.m_Parameters.m_BlockSize  = m_Param.m_BlockSize;
+    descriptor.m_Parameters.m_DataLayout = m_Param.m_DataLayout;
+
+    return factory.CreateSpaceToDepth(descriptor, PrepInfoAndDesc(descriptor, graph));
+}
+
+SpaceToDepthLayer* SpaceToDepthLayer::Clone(Graph& graph) const
+{
+    return CloneBase<SpaceToDepthLayer>(graph, m_Param, GetName());
+}
+
+std::vector<TensorShape> SpaceToDepthLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
+{
+    BOOST_ASSERT(inputShapes.size() == 1);
+
+    TensorShape inputShape = inputShapes[0];
+    TensorShape outputShape(inputShape);
+
+    outputShape[0] = inputShape[0];
+
+    DataLayoutIndexed dimensionIndices{m_Param.m_DataLayout};
+    unsigned int hIndex = dimensionIndices.GetHeightIndex();
+    unsigned int wIndex = dimensionIndices.GetWidthIndex();
+    unsigned int cIndex = dimensionIndices.GetChannelsIndex();
+
+    outputShape[hIndex] = inputShape[hIndex] / m_Param.m_BlockSize;
+    outputShape[wIndex] = inputShape[wIndex] / m_Param.m_BlockSize;
+
+    outputShape[cIndex] = inputShape[cIndex] * m_Param.m_BlockSize * m_Param.m_BlockSize;
+
+    return std::vector<TensorShape>({ outputShape });
+}
+
+void SpaceToDepthLayer::ValidateTensorShapesFromInputs()
+{
+    VerifyLayerConnections(1, CHECK_LOCATION());
+
+    std::vector<TensorShape> inferredShapes = InferOutputShapes({
+        GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
+
+    BOOST_ASSERT(inferredShapes.size() == 1);
+
+    ConditionalThrowIfNotEqual<LayerValidationException>(
+        "SpaceToDepthLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
+        GetOutputSlot(0).GetTensorInfo().GetShape(),
+        inferredShapes[0]);
+}
+
+void SpaceToDepthLayer::Accept(ILayerVisitor& visitor) const
+{
+    visitor.VisitSpaceToDepthLayer(this, GetParameters(), GetName());
+}
+
+} // namespace armnn
\ No newline at end of file
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