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author | Sadik Armagan <sadik.armagan@arm.com> | 2021-02-03 09:29:30 +0000 |
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committer | Sadik Armagan <sadik.armagan@arm.com> | 2021-02-03 09:29:47 +0000 |
commit | 0c3ea5b8ac5ad8ca516930a0491afb1d1074e45b (patch) | |
tree | 47ff1e9c1c70a3b134c1e9063dada66d70a7c963 /src/armnn/layers/ReduceLayer.hpp | |
parent | 84f41eb74765bd93307f3c6b334354c486dc746d (diff) | |
download | armnn-0c3ea5b8ac5ad8ca516930a0491afb1d1074e45b.tar.gz |
backends/reference: Add ReduceSum operation support
This patch addes ReduceSum operation support for reference backend,
which computes the sum of elements across dimensions of a tensor.
Changelog v1:
- Fix file header descriptions.
Chagelog v2:
- Fix line limit issue.
- Fix type conversion issue.
Changelog v3:
- Remove tabs.
- Modify newly added file headers.
Changelog v4:
- Symbol on header isn't allowed so drop it from newly added file headers.
Changelog v5:
- Remove tabs, fix the use of brackets and align lines correctly.
Changelog v6:
- Add serializer and deserializer support.
Changelog v7:
- Fix build error add missed code.
Changelog v8:
- Rename ReduceSumDecriptor to ReduceDescriptor
- Update m_KeepDims field data type to bool on ReduceDescriptor
- Add ReduceOperation field to ReduceDescriptor
- Rename ReduceSumLayer to ReduceLayer
- Update ReduceLayer to use ReduceDescriptor
- Update ReduceLayer::ValidateTensorShapesFromInputs() function
- Rename RefReduceSumWokload to RefReduceWorkload
- Update workload to use ReduceDescriptor
- Update workload to use Decoders and Encoders
- Remove ReduceSum.hpp and ReduceSum.cpp
- Added Reduce.hpp and Reduce.cpp
- Move Mean.cpp (which is implementing REDUCE_MEAN) functionality to Reduce.cpp
- Update RefMeanWorkload to call Reduce function with ReduceOperation::Mean argument
- Remove Mean.hpp and Mean.cpp
- Update the Serializer/Deserializer ArmnnSchema.fbs for ReduceLayer, ReduceDescriptor, and ReduceOperation
- Update Serializer and Deserializer for serializing/parsing ReduceLayer
- Added TfLiter parser Sum test for REDUCE_SUM operator
- Make corresponding changes on front-end and Ref backend to support REDUCE_SUM operator
Changelog v9:
- Fixed build errors.
Change-Id: I8c8e034f3df73f9565b3c18eff51ecca6c542195
Signed-off-by: Inki Dae <inki.dae@samsung.com>
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Diffstat (limited to 'src/armnn/layers/ReduceLayer.hpp')
-rw-r--r-- | src/armnn/layers/ReduceLayer.hpp | 42 |
1 files changed, 42 insertions, 0 deletions
diff --git a/src/armnn/layers/ReduceLayer.hpp b/src/armnn/layers/ReduceLayer.hpp new file mode 100644 index 0000000000..fd4f2073f1 --- /dev/null +++ b/src/armnn/layers/ReduceLayer.hpp @@ -0,0 +1,42 @@ +// +// Copyright © 2020 Samsung Electronics Co Ltd and Contributors. All rights reserved. +// SPDX-License-Identifier: MIT +// +#pragma once + +#include "LayerWithParameters.hpp" + +namespace armnn +{ + +/// This layer represents a reduction operation. +class ReduceLayer : public LayerWithParameters<ReduceDescriptor> +{ +public: + /// Makes a workload for the Reduce 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 IWorkloadFactory& factory) const override; + + /// Creates a dynamically-allocated copy of this layer. + /// @param [in] graph The graph into which this layer is being cloned. + ReduceLayer* Clone(Graph& graph) const override; + + /// Check if the input tensor shape(s) + /// will lead to a valid configuration of @ref ReduceLayer. + void ValidateTensorShapesFromInputs() override; + + void Accept(ILayerVisitor& visitor) const override; + +protected: + /// Constructor to create a ReduceLayer. + /// @param [in] param ReduceDescriptor to configure the reduction operation. + /// @param [in] name Optional name for the layer. + ReduceLayer(const ReduceDescriptor& param, const char* name); + + /// Default destructor + ~ReduceLayer() = default; +}; + +} // namespace armnn |