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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.hpp | |
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.hpp')
-rw-r--r-- | src/armnn/layers/ResizeLayer.hpp | 49 |
1 files changed, 49 insertions, 0 deletions
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 |