diff options
author | Mike Kelly <mike.kelly@arm.com> | 2020-02-28 18:11:58 +0000 |
---|---|---|
committer | mike.kelly <mike.kelly@arm.com> | 2020-03-02 16:44:09 +0000 |
commit | c9ea45adefdde2890e9aa191a5b31563a3dd35ea (patch) | |
tree | 2ea65c972d24cc2d823ea39eb105d4062db54934 /src/armnn/layers/TransposeLayer.cpp | |
parent | 510f6183d289b176702a18f020449c68be6f1075 (diff) | |
download | armnn-c9ea45adefdde2890e9aa191a5b31563a3dd35ea.tar.gz |
IVGCVSW-4375 Add support for Transpose
* Added TransposeLayer
* Added CL, Neon and Ref Workloads
* Added Transpose utilities
* Added Serializer and Deserializer support
* Added Quantizer support
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I04c755ba7cb5b1edf72b3c9f3c0314878032e3c7
Diffstat (limited to 'src/armnn/layers/TransposeLayer.cpp')
-rw-r--r-- | src/armnn/layers/TransposeLayer.cpp | 62 |
1 files changed, 62 insertions, 0 deletions
diff --git a/src/armnn/layers/TransposeLayer.cpp b/src/armnn/layers/TransposeLayer.cpp new file mode 100644 index 0000000000..3c22b545b9 --- /dev/null +++ b/src/armnn/layers/TransposeLayer.cpp @@ -0,0 +1,62 @@ +// +// Copyright © 2020 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "TransposeLayer.hpp" + +#include "LayerCloneBase.hpp" + +#include <armnn/TypesUtils.hpp> + +#include <armnnUtils/Transpose.hpp> + +#include <backendsCommon/WorkloadData.hpp> +#include <backendsCommon/WorkloadFactory.hpp> + +namespace armnn +{ + +TransposeLayer::TransposeLayer(const TransposeDescriptor& param, const char* name) + : LayerWithParameters(1, 1, LayerType::Transpose, param, name) +{ +} + +std::unique_ptr<IWorkload> TransposeLayer::CreateWorkload(const IWorkloadFactory& factory) const +{ + TransposeQueueDescriptor descriptor; + return factory.CreateTranspose(descriptor, PrepInfoAndDesc(descriptor)); +} + +TransposeLayer* TransposeLayer::Clone(Graph& graph) const +{ + return CloneBase<TransposeLayer>(graph, m_Param, GetName()); +} + +std::vector<TensorShape> TransposeLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const +{ + BOOST_ASSERT(inputShapes.size() == 1); + const TensorShape& inShape = inputShapes[0]; + return std::vector<TensorShape> ({armnnUtils::TransposeTensorShape(inShape, m_Param.m_DimMappings)}); +} + +void TransposeLayer::ValidateTensorShapesFromInputs() +{ + VerifyLayerConnections(1, CHECK_LOCATION()); + + auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() }); + + BOOST_ASSERT(inferredShapes.size() == 1); + + ConditionalThrowIfNotEqual<LayerValidationException>( + "TransposeLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.", + GetOutputSlot(0).GetTensorInfo().GetShape(), + inferredShapes[0]); +} + +void TransposeLayer::Accept(ILayerVisitor& visitor) const +{ + visitor.VisitTransposeLayer(this, GetParameters(), GetName()); +} + +} // namespace armnn |