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path: root/src/backends/cl/workloads/ClConvolution2dWorkload.hpp
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2022-02-16Refactor Forced ImportFinn Williams
* Find and replace all workloads associated with imported IO * Only attempt tensorhandle replacement if supported by all workloads * Add new RefBaseWorkload to enable forced input for ref backend * Store imported tensorhandles in preImportedTensorhandles instead of outputHandles * Create pre-imported tensorhandles at network load-time * Front load import workload validation to load network time * Only call ReplaceTensorHandle when needed Change-Id: I3816a71b7f57ae90388bb16462a75d4ef3544fa7 Signed-off-by: Finn Williams <finn.williams@arm.com>
2022-01-31IVGCVSW-6552 Add support of aligned host memoryNarumol Prangnawarat
* Add AllocatedData functions to OutputHandler * Enable import aligned memory in ImportInputs * Enable import aligned memory in ImportOutputs * Allow to import input and output if the memory is aligned * Implement Reconfigure function on ClConvolution2dWorkload * End-to-end test on Ref and Cl to ensure that input and output memory are imported when aligned Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com> Change-Id: I9e5e4c26d1ac2f1d806803ade5f64c6479c51718
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
2020-12-02IVGCVSW-5482 'Add a ClCompileContext parameter to each ClWorkload Constructor'Sadik Armagan
* Injected CLCompileContext object to each CL workload. Signed-off-by: Sadik Armagan <sadik.armagan@arm.com> Change-Id: I4837dbd3d5b56cf743b3b89c944e3cdf8b11a42a
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
2018-11-02IVGCVSW-1946: Remove armnn/src from the include pathsAron Virginas-Tar
Change-Id: I663a0a0fccb43ee960ec070121a59df9db0bb04e
2018-10-10IVGCVSW-1964 : replace optional biases with home-grown OptionalDavid Beck
!android-nn-driver:151788 Change-Id: Ibdc41d09b8df05e7a0360dcb8a060860dfb1bd99
2018-10-10IVGCVSW-1951 Remove type templating from ClConvolution2dWorkloadMatthew Bentham
Change-Id: Iaa99500bfa8cea846f57636590698f9c8a8c2de0
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