IVGCVSW-3363 Add frontend support for Resize Layer

Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I63493ddb7598515773073deb6db2eb3a635c5dfe

2 files changed, 125 insertions, 0 deletions

diff --git a/src/armnn/layers/ResizeLayer.cpp b/src/armnn/layers/ResizeLayer.cpp
new file mode 100644
index 0000000000..44b4d9df5f
--- /dev/null
+++ b/src/armnn/layers/ResizeLayer.cpp
@@ -0,0 +1,76 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+#include "ResizeLayer.hpp"
+
+#include "LayerCloneBase.hpp"
+
+#include <armnn/TypesUtils.hpp>
+
+#include <backendsCommon/WorkloadData.hpp>
+#include <backendsCommon/WorkloadFactory.hpp>
+
+#include <DataLayoutIndexed.hpp>
+
+using namespace armnnUtils;
+
+namespace armnn
+{
+
+ResizeLayer::ResizeLayer(const ResizeDescriptor& param, const char* name)
+    : LayerWithParameters(1, 1, LayerType::Resize, param, name)
+{
+}
+
+std::unique_ptr<IWorkload> ResizeLayer::CreateWorkload(const Graph& graph,
+                                                       const IWorkloadFactory& factory) const
+{
+    ResizeQueueDescriptor descriptor;
+    return factory.CreateResize(descriptor, PrepInfoAndDesc(descriptor, graph));
+}
+
+ResizeLayer* ResizeLayer::Clone(Graph& graph) const
+{
+    return CloneBase<ResizeLayer>(graph, m_Param, GetName());
+}
+
+std::vector<TensorShape> ResizeLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
+{
+    BOOST_ASSERT(inputShapes.size() == 1);
+
+    const TensorShape& inputShape = inputShapes[0];
+    const DataLayoutIndexed dimensionIndices = m_Param.m_DataLayout;
+
+    unsigned int outWidth = m_Param.m_TargetWidth;
+    unsigned int outHeight = m_Param.m_TargetHeight;
+    unsigned int outChannels = inputShape[dimensionIndices.GetChannelsIndex()];
+    unsigned int outBatch = inputShape[0];
+
+    TensorShape tensorShape = m_Param.m_DataLayout == armnn::DataLayout::NHWC ?
+        TensorShape( { outBatch, outHeight, outWidth, outChannels } ) :
+        TensorShape( { outBatch, outChannels, outHeight, outWidth });
+
+    return std::vector<TensorShape>({ tensorShape });
+}
+
+void ResizeLayer::ValidateTensorShapesFromInputs()
+{
+    VerifyLayerConnections(1, CHECK_LOCATION());
+
+    auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
+
+    BOOST_ASSERT(inferredShapes.size() == 1);
+
+    ConditionalThrowIfNotEqual<LayerValidationException>(
+        "ResizeLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
+        GetOutputSlot(0).GetTensorInfo().GetShape(),
+        inferredShapes[0]);
+}
+
+void ResizeLayer::Accept(ILayerVisitor& visitor) const
+{
+    visitor.VisitResizeLayer(this, GetParameters(), GetName());
+}
+
+} // namespace armnn
diff --git a/src/armnn/layers/ResizeLayer.hpp b/src/armnn/layers/ResizeLayer.hpp
new file mode 100644
index 0000000000..0d309ff49b
--- /dev/null
+++ b/src/armnn/layers/ResizeLayer.hpp
@@ -0,0 +1,49 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+#pragma once
+
+#include "LayerWithParameters.hpp"
+
+namespace armnn
+{
+
+/// This layer represents a resize  operation.
+class ResizeLayer : public LayerWithParameters<ResizeDescriptor>
+{
+public:
+    /// Makes a workload for the Resize 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.
+    ResizeLayer* Clone(Graph& graph) const override;
+
+    /// Check if the input tensor shape(s)
+    /// will lead to a valid configuration of @ref ResizeLayer.
+    void ValidateTensorShapesFromInputs() 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;
+
+    void Accept(ILayerVisitor& visitor) const override;
+
+protected:
+    /// Constructor to create a ResizeLayerLayer.
+    /// @param [in] param ResizeDescriptor to configure the resize  operation.
+    /// @param [in] name Optional name for the layer.
+    ResizeLayer(const ResizeDescriptor& param, const char* name);
+
+    /// Default destructor
+    ~ResizeLayer() = default;
+};
+
+} // namespace armnn