From 169d2f120cc9021f170fede22a448fd6b66fc979 Mon Sep 17 00:00:00 2001
From: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Date: Mon, 1 Jul 2019 19:01:44 +0100
Subject: IVGCVSW-3382 Deprecate ResizeBilinear and use Resize with Bilinear
 method

!android-nn-driver:1451

Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: Ieedbce1f6e95891137a250fdd07e2f7e4e1f4828
---
 src/armnn/layers/ResizeBilinearLayer.hpp | 49 --------------------------------
 1 file changed, 49 deletions(-)
 delete mode 100644 src/armnn/layers/ResizeBilinearLayer.hpp

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

diff --git a/src/armnn/layers/ResizeBilinearLayer.hpp b/src/armnn/layers/ResizeBilinearLayer.hpp
deleted file mode 100644
index 4bf264cb45..0000000000
--- a/src/armnn/layers/ResizeBilinearLayer.hpp
+++ /dev/null
@@ -1,49 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-#pragma once
-
-#include "LayerWithParameters.hpp"
-
-namespace armnn
-{
-
-/// This layer represents a resize bilinear operation.
-class ResizeBilinearLayer : public LayerWithParameters<ResizeBilinearDescriptor>
-{
-public:
-    /// Makes a workload for the ResizeBilinear 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.
-    ResizeBilinearLayer* Clone(Graph& graph) const override;
-
-    /// Check if the input tensor shape(s)
-    /// will lead to a valid configuration of @ref ResizeBilinearLayer.
-    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 ResizeBilinearLayerLayer.
-    /// @param [in] param ResizeBilinearDescriptor to configure the resize bilinear operation.
-    /// @param [in] name Optional name for the layer.
-    ResizeBilinearLayer(const ResizeBilinearDescriptor& param, const char* name);
-
-    /// Default destructor
-    ~ResizeBilinearLayer() = default;
-};
-
-} // namespace
-- 
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