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path: root/src/backends/neon/workloads/NeonConvolution2dWorkload.hpp
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2022-01-26IVGCVSW-6685-6686 Modify workloads to extend Neon/Cl BaseWorkloadTeresa Charlin
* Neon workloads to extend NeonBaseWorkload instead of BaseWorkload * Cl workload to extend ClBaseWorkload instead of BaseWorkload Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: I8f39a31a89a8865ac4acf18573ab290d548d2864
2021-12-15IVGCVSW-6626 Promote backend headers in backendCommon to armnn/backendsColm Donelan
Move the following header files from backendsCommon to armnn/backends. * MemCopyWorkload.hpp * TensorHandle.hpp * Workload.hpp * WorkloadData.hpp * WorkloadFactory.hpp Replace them with forwarding headers and a pragma deprecation message. Resolve the deprecation messages in Arm NN code. Signed-off-by: Colm Donelan <colm.donelan@arm.com> Change-Id: I47f116b30f86e478c9057795bc518c391a8ae514
2021-08-05IVGCVSW-5980 Add Descriptor, TensorInfo and Convolution algorithm to JSONKeith Davis
* Add GUID as field to layer details and profiling events * Add Optional GUID param to existing tests * Improve Details macro to be inline function * Fix some formatting Signed-off-by: Keith Davis <keith.davis@arm.com> Change-Id: I66f192a90a7642b3ee8e7dda0d3f428cce002581
2021-08-04IVGCVSW-5980 JSON profiling outputKeith Davis
* Add new ProfilingDetails class to construct operator details string * Add new macro which helps append layer details to ostream * Add ProfilingEnabled to NetworkProperties so that profiling can be realised when loading the network * Add further optional info to WorkloadInfo specific to convolutions * Generalise some JsonPrinter functions into JsonUtils for reusability * Remove explicit enabling of profiling within InferenceModel as it is done when loading network * Add ProfilingDetails macros to ConvolutionWorkloads for validation Signed-off-by: Keith Davis <keith.davis@arm.com> Change-Id: Ie84bc7dc667e72e6bcb635544f9ead7af1765690
2020-11-13IVGCVSW-5328-5329 Fuse ActivationMike Kelly
* Added Fused Activation Optimization to both CL and Neon backends. * Added Fused Activation support to all the CL and Neon workloads that support it. * Changed ProfilingTest network to be a Convolution layer followed by an Abs layer rather than an Activation layer. * Added IBackendInternal::OptimizeSubgraphView function that can accept a ModelOptions. * Network will now call OptimizeSubgraphView passing in the ModelOptions. Signed-off-by: Keith Davis <keith.davis@arm.com> Signed-off-by: Mike Kelly <mike.kelly@arm.com> Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: Ib536ac3cbafc7d9b35c139ad9a65b7735262cd9d
2020-09-14IVGCVSW-5157 'Pipe ModelOption through Network::LoadNetwork() to Workload ↵Sadik Armagan
factory' * Pass ModelOptions to WorkloadFactory * Updated signature of CL and NEON Convolution2d workloads added FastMathEnabled param. Signed-off-by: Sadik Armagan <sadik.armagan@arm.com> Change-Id: I536178be8e4dd4083489e69febadaf0feeba46d2
2020-09-10IVGCVSW-5156 Introduce ModelOptions to OptimizedNetworkSadik Armagan
* Introduced ModelOptions to IBackendInternal * Introduced ModelOptions to Network * Added FastMathEnabled parameter to Conv2d Validate function in CL and NEON * Added Optimizer tests Signed-off-by: Ryan OShea <Ryan.OShea2@arm.com> Signed-off-by: Sadik Armagan <sadik.armagan@arm.com> Change-Id: Ib54c1e82cb3d89a52756ed499cf91b6a7fdb2063
2019-01-08Refactor: Don't include all ComputeLibrary function definitions everywhere.Matthew Bentham
Just include the function definition that is specifically needed for each workload. Also, tighten up the scope where Compute Library functions are available. Knocks about 30seconds off a 4m30s single-threaded compile of the Neon workloads. Change-Id: Idac438f3bc77ff978295fbc9505cb42447def145
2018-11-02IVGCVSW-1946: Remove armnn/src from the include pathsAron Virginas-Tar
Change-Id: I663a0a0fccb43ee960ec070121a59df9db0bb04e
2018-10-22IVGCVSW-1951 Remove type templating from NeonConvolution2dWorkloadNattapat Chaimanowong
Change-Id: Id3d8137d60b14e93863ad5b6db752a7f6ef9b7fb