1 files changed, 0 insertions, 74 deletions
diff --git a/src/armnn/layers/ResizeBilinearLayer.cpp b/src/armnn/layers/ResizeBilinearLayer.cpp
deleted file mode 100644
index 03fe317e79..0000000000
--- a/src/armnn/layers/ResizeBilinearLayer.cpp
+++ /dev/null
@@ -1,74 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-#include "ResizeBilinearLayer.hpp"
-
-#include "LayerCloneBase.hpp"
-
-#include <armnn/TypesUtils.hpp>
-
-#include <backendsCommon/WorkloadData.hpp>
-#include <backendsCommon/WorkloadFactory.hpp>
-
-#include <DataLayoutIndexed.hpp>
-
-using namespace armnnUtils;
-
-namespace armnn
-{
-
-ResizeBilinearLayer::ResizeBilinearLayer(const ResizeBilinearDescriptor& param, const char* name)
-    : LayerWithParameters(1, 1, LayerType::ResizeBilinear, param, name)
-{
-}
-
-std::unique_ptr<IWorkload> ResizeBilinearLayer::CreateWorkload(const Graph& graph,
-                                                               const IWorkloadFactory& factory) const
-{
-    ResizeBilinearQueueDescriptor descriptor;
-    return factory.CreateResizeBilinear(descriptor, PrepInfoAndDesc(descriptor, graph));
-}
-
-ResizeBilinearLayer* ResizeBilinearLayer::Clone(Graph& graph) const
-{
-    return CloneBase<ResizeBilinearLayer>(graph, m_Param, GetName());
-}
-
-std::vector<TensorShape> ResizeBilinearLayer::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 ResizeBilinearLayer::ValidateTensorShapesFromInputs()
-{
-    VerifyLayerConnections(1, CHECK_LOCATION());
-
-    auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
-
-    BOOST_ASSERT(inferredShapes.size() == 1);
-
-    ConditionalThrowIfNotEqual<LayerValidationException>(
-        "ResizeBilinearLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
-        GetOutputSlot(0).GetTensorInfo().GetShape(),
-        inferredShapes[0]);
-}
-
-void ResizeBilinearLayer::Accept(ILayerVisitor& visitor) const
-{
-    visitor.VisitResizeBilinearLayer(this, GetParameters(), GetName());
-}
-
-} // namespace armnn