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-rw-r--r--src/armnn/layers/ResizeBilinearLayer.cpp52
1 files changed, 52 insertions, 0 deletions
diff --git a/src/armnn/layers/ResizeBilinearLayer.cpp b/src/armnn/layers/ResizeBilinearLayer.cpp
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index 0000000000..204d5afae8
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+++ b/src/armnn/layers/ResizeBilinearLayer.cpp
@@ -0,0 +1,52 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// See LICENSE file in the project root for full license information.
+//
+#include "ResizeBilinearLayer.hpp"
+
+#include "LayerCloneBase.hpp"
+
+#include <armnn/TypesUtils.hpp>
+#include <backends/WorkloadData.hpp>
+#include <backends/WorkloadFactory.hpp>
+
+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());
+}
+
+void ResizeBilinearLayer::ValidateTensorShapesFromInputs()
+{
+ ConditionalThrow<LayerValidationException>(GetInputSlot(0).GetConnection() != nullptr,
+ "MemCopyLayer: InputSlot must be connected to an OutputSlot");
+ ConditionalThrow<LayerValidationException>(GetInputSlot(0).GetConnection()->IsTensorInfoSet(),
+ "MemCopyLayer: TensorInfo must be set on connected OutputSlot.");
+
+ const TensorShape& inputShape = GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape();
+ unsigned int outWidth = m_Param.m_TargetWidth;
+ unsigned int outHeight = m_Param.m_TargetHeight;
+ unsigned int outChannels = inputShape[1];
+ unsigned int outBatch = inputShape[0];
+ TensorShape outShape({outBatch, outChannels, outHeight, outWidth});
+ ConditionalThrowIfNotEqual<LayerValidationException>(
+ "ResizeBilinearLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
+ GetOutputSlot(0).GetTensorInfo().GetShape(),
+ outShape);
+}
+
+} // namespace armnn