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author | Teresa Charlin <teresa.charlinreyes@arm.com> | 2019-06-27 15:41:57 +0100 |
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committer | Teresa Charlin <teresa.charlinreyes@arm.com> | 2019-06-28 10:44:19 +0000 |
commit | a9075df5b704e4f4432bf26027e3ba671d4596f0 (patch) | |
tree | e1899766d94464febc50826ec14fa1e1d6f27e39 /src/armnn/layers/ResizeLayer.cpp | |
parent | 7a3e2feaf419cb6f4c047d67459356ac92aae7e8 (diff) | |
download | armnn-a9075df5b704e4f4432bf26027e3ba671d4596f0.tar.gz |
IVGCVSW-3363 Add frontend support for Resize Layer
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I63493ddb7598515773073deb6db2eb3a635c5dfe
Diffstat (limited to 'src/armnn/layers/ResizeLayer.cpp')
-rw-r--r-- | src/armnn/layers/ResizeLayer.cpp | 76 |
1 files changed, 76 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 |