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-rw-r--r--src/armnn/layers/SpaceToDepthLayer.cpp85
-rw-r--r--src/armnn/layers/SpaceToDepthLayer.hpp50
2 files changed, 135 insertions, 0 deletions
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
diff --git a/src/armnn/layers/SpaceToDepthLayer.hpp b/src/armnn/layers/SpaceToDepthLayer.hpp
new file mode 100644
index 0000000000..b83a9e0170
--- /dev/null
+++ b/src/armnn/layers/SpaceToDepthLayer.hpp
@@ -0,0 +1,50 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include "LayerWithParameters.hpp"
+
+namespace armnn
+{
+
+/// This layer represents a SpaceToDepth operation.
+class SpaceToDepthLayer : public LayerWithParameters<SpaceToDepthDescriptor>
+{
+public:
+ /// Makes a workload for the SpaceToDepth type.
+ /// @param [in] graph The graph where this layer can be found.
+ /// @param [in] factory The workload factory which will create the workload.
+ /// @return A pointer to the created workload, or nullptr if not created.
+ virtual std::unique_ptr<IWorkload> CreateWorkload(const Graph& graph,
+ const IWorkloadFactory& factory) const override;
+
+ /// Creates a dynamically-allocated copy of this layer.
+ /// @param [in] graph The graph into which this layer is being cloned.
+ SpaceToDepthLayer* Clone(Graph& graph) const override;
+
+ /// By default returns inputShapes if the number of inputs are equal to number of outputs,
+ /// otherwise infers the output shapes from given input shapes and layer properties.
+ /// @param [in] inputShapes The input shapes layer has.
+ /// @return A vector to the inferred output shape.
+ std::vector<TensorShape> InferOutputShapes(const std::vector<TensorShape>& inputShapes) const override;
+
+ /// Check if the input tensor shape(s)
+ /// will lead to a valid configuration of @ref SpaceToDepthLayer.
+ void ValidateTensorShapesFromInputs() override;
+
+ void Accept(ILayerVisitor& visitor) const override;
+
+protected:
+ /// Constructor to create a SpaceToDepthLayer.
+ /// @param [in] param SpaceToDepthDescriptor to configure the SpaceToDepthLayer operation.
+ /// @param [in] name Optional name for the layer.
+ SpaceToDepthLayer(const SpaceToDepthDescriptor param, const char* name);
+
+ /// Default destructor
+ ~SpaceToDepthLayer() = default;
+};
+
+} // namespace armnn