From a9075df5b704e4f4432bf26027e3ba671d4596f0 Mon Sep 17 00:00:00 2001
From: Teresa Charlin <teresa.charlinreyes@arm.com>
Date: Thu, 27 Jun 2019 15:41:57 +0100
Subject: IVGCVSW-3363 Add frontend support for Resize Layer

Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I63493ddb7598515773073deb6db2eb3a635c5dfe
---
 src/armnn/layers/ResizeLayer.hpp | 49 ++++++++++++++++++++++++++++++++++++++++
 1 file changed, 49 insertions(+)
 create mode 100644 src/armnn/layers/ResizeLayer.hpp

(limited to 'src/armnn/layers/ResizeLayer.hpp')

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
-- 
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