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author | Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> | 2019-06-20 14:28:19 +0100 |
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committer | Matteo Martincigh <matteo.martincigh@arm.com> | 2019-06-21 09:54:30 +0000 |
commit | 639fb0437d1a5a8a6ea737fed5a16b554dfffead (patch) | |
tree | 5b89adc18c1a071d23747a28dcddcfca41e4d815 /src/armnn/layers/TransposeConvolution2dLayer.hpp | |
parent | 713e95c8c531c5cecd804a7cecc8af745917315c (diff) | |
download | armnn-639fb0437d1a5a8a6ea737fed5a16b554dfffead.tar.gz |
IVGCVSW-3319 Add frontend support for TransposeConvolution2d Layer
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: Ic06f63f1eff255e697facf319e2ac4c83d782e7c
Diffstat (limited to 'src/armnn/layers/TransposeConvolution2dLayer.hpp')
-rw-r--r-- | src/armnn/layers/TransposeConvolution2dLayer.hpp | 59 |
1 files changed, 59 insertions, 0 deletions
diff --git a/src/armnn/layers/TransposeConvolution2dLayer.hpp b/src/armnn/layers/TransposeConvolution2dLayer.hpp new file mode 100644 index 0000000000..4dc4644a3c --- /dev/null +++ b/src/armnn/layers/TransposeConvolution2dLayer.hpp @@ -0,0 +1,59 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// +#pragma once + +#include "LayerWithParameters.hpp" + +namespace armnn +{ + +class ScopedCpuTensorHandle; + +/// This layer represents a 2D transpose convolution operation. +class TransposeConvolution2dLayer : public LayerWithParameters<TransposeConvolution2dDescriptor> +{ +public: + /// A unique pointer to store weight values. + std::unique_ptr<ScopedCpuTensorHandle> m_Weight; + /// A unique pointer to store bias values. + std::unique_ptr<ScopedCpuTensorHandle> m_Bias; + + /// Makes a workload for the TransposeConvolution2d 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. + TransposeConvolution2dLayer* Clone(Graph& graph) const override; + + /// Check if the input tensor shape(s) + /// will lead to a valid configuration of @ref TransposeConvolution2dLayer. + void ValidateTensorShapesFromInputs() override; + + /// Infers the output shapes from given input shapes and layer properties. + /// @param [in] inputShapes The input shapes the layer has. + /// @return A vector of 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 TransposeConvolution2dLayer. + /// @param [in] param TransposeConvolution2dDescriptor to configure the 2D transpose convolution operation. + /// @param [in] name Optional name for the layer. + TransposeConvolution2dLayer(const TransposeConvolution2dDescriptor& param, const char* name); + + /// Default destructor + ~TransposeConvolution2dLayer() = default; + + /// Retrieve the handles to the constant values stored by the layer. + /// @return A vector of the constant tensors stored by this layer. + ConstantTensors GetConstantTensorsByRef() override; +}; + +} // namespace armnn |