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2024-03-21Add skeleton for CLScatter op, reference and testsMohammed Suhail Munshi
- Adds dataset for tests - Adds skeleton for function, operator, reference and tests Resolves: [COMPMID-6889] Signed-off-by: Mohammed Suhail Munshi <MohammedSuhail.Munshi@arm.com> Change-Id: I7e57e8b4577fef6aa7421e672894c249cad6c5fa Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/11234 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-09-28Apply clang-format on repositoryFelix Thomasmathibalan
Code is formatted as per a revised clang format configuration file(not part of this delivery). Version 14.0.6 is used. Exclusion List: - files with .cl extension - files that are not strictly C/C++ (e.g. Android.bp, Sconscript ...) And the following directories - compute_kernel_writer/validation/ - tests/ - include/ - src/core/NEON/kernels/convolution/ - src/core/NEON/kernels/arm_gemm/ - src/core/NEON/kernels/arm_conv/ - data/ There will be a follow up for formatting of .cl files and the files under tests/ and compute_kernel_writer/validation/. Signed-off-by: Felix Thomasmathibalan <felixjohnny.thomasmathibalan@arm.com> Change-Id: Ib7eb1fcf4e7537b9feaefcfc15098a804a3fde0a Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10391 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>
2023-09-04Remove legacy PostOps codeJakub Sujak
PostOps was the experimental interface for Dynamic Fusion. It is now replaced by the new Dynamic Fusion interface with code generation using the Compute Kernel Writer. Resolves: COMPMID-6190 Change-Id: I813b48facef2fd6f3aee332588886b4f9b3d33d8 Signed-off-by: Jakub Sujak <jakub.sujak@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10219 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2023-07-28Retain back-compatibility for arm_compute/core/Types.hSiCong Li
* Some symbols have been moved from core/Types.h. This patch retains back compatibility so that the user can still include this header for those symbols * A new header core/CoreTypes.h is created to avoid circular dependency. This header includes essential small types that are used across functions * Move all function info types into function_info folder for easier tracking Resolves COMPMID-6330 Related to https://review.mlplatform.org/c/ml/ComputeLibrary/+/9757 Signed-off-by: SiCong Li <sicong.li@arm.com> Change-Id: I4739175c2d4d184a9bc8e28b881b497fab03ca60 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9979 Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2023-07-19Add support for input S64/U64 in CpuCastKernelPablo Marquez Tello
* The kernel now supports the following conversions: S64 -> F32 U64 -> F32 * Resolves MLCE-1089 Change-Id: I277cf58b78d919fde25947520d2056e1412c7f82 Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9935 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-06-23Fix doxygen warningsramy.elgammal@arm.com
Resolves: COMPMID-6312 Signed-off-by: ramy.elgammal@arm.com <ramy.elgammal@arm.com> Change-Id: I9f68ccd2edb8c4d03fec19e6b9c29609d4833342 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9806 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-06-15Break up arm_compute/core/Types.h a bitMatthew Bentham
Split some of the larger types with inlined code into their own header files, so that the implementation of them needn't be included everywhere. Change-Id: Id3ec2d42efbd33cedb55705a5a24e1b90c8b7a01 Signed-off-by: Matthew Bentham <Matthew.Bentham@arm.com> Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/c/VisualCompute/ComputeLibrary/+/524782 Tested-by: bsgcomp <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Comments-Addressed: bsgcomp <bsgcomp@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9757 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-06-12Refactor activation LUT computationPablo Marquez Tello
* Moving the code out of Types.h will help with the compilation time. * Added LUT support for all other activation functions. * Resolves COMPMID-6292 Change-Id: I1b5f0b21f03237447163276b8796b2aeb3fdd45c Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9749 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-06-09Added int8 support in LeakyRelu/LUT kernel.Pablo Marquez Tello
* Resolves COMPMID-6292 Change-Id: I15a0ad1c298ff53dd111fda76ef70872aaadac3b Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9740 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-04-04Support dynamic weights for Fully Connected layers on GPUJakub Sujak
The fully connected function and operator running on GPU have been adapted to support dynamic weights. Dynamic weights require the reshape and data layout conversion of weight tensors at runtime in the prepare stage of the operator. The implementation for GPU is identical to the CPU implementation. This patch also deprecates the `are_weights_reshaped` option in Fully Connected. Resolves: COMPMID-5870 Change-Id: I28f967695879d82cc91a928d95308a4e0e52a597 Signed-off-by: Jakub Sujak <jakub.sujak@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9403 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-03-14Add CropInfo to BatchToSpace reference and fixtureSiCong Li
Partially resolves COMPMID-5918, COMPMID-5865 Signed-off-by: SiCong Li <sicong.li@arm.com> Change-Id: Ib3b01e7dc1c944184a4c038045bf0469fbb9ff45 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9321 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2023-03-01Add support for kernel indices in MaxpoolAdnan AlSinan
- Add a max pooling implementation that returns kernel indices. - Add a parameter in pooling info object to pick kernel indices impl. - Add validation tests. Resolves: [ONCPUML-1187] Signed-off-by: Adnan AlSinan <adnan.alsinan@arm.com> Change-Id: I485ef1604f676ee14d5f7f62d33699e49c38e4d3 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9192 Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-02-28Add an option to use lowest for max-poolingAdnan AlSinan
- Add a parameter in PoolingLayerInfo class to pick which value to use as min for max-pooling. Resolves: [ONCPUML-1166] Signed-off-by: Adnan AlSinan <adnan.alsinan@arm.com> Change-Id: I34e1cccc15176bbf31523c61e99f3188ddca23e1 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8989 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-02-28Add MatMulInfo Information class to ComputeLibraryMohammed Suhail Munshi
Partially resolves : [COMPMID-5930] Signed-off-by: Mohammed Suhail Munshi <MohammedSuhail.Munshi@arm.com> Change-Id: Icb6c8a9d1b5a2c5c57e37cb7c877414ed500d0cc Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/c/VisualCompute/ComputeLibrary/+/494758 Tested-by: bsgcomp <bsgcomp@arm.com> Comments-Addressed: bsgcomp <bsgcomp@arm.com> Reviewed-by: Sicong Li <sicong.li@arm.com> Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9181 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-12-29Update the ClConv2d heuristicGian Marco Iodice
- Update the ClConv2d heuristic to call indirect convolution on Arm® Mali™-G77 Gpus - Implement the indirect conv2d heuristic for selecting the block size Resolves COMPMID-5713 Change-Id: If6ad49124561207153685c6abd4f54950a376fbc Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8886 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2022-11-14Optimize Transposed Convolution for CL backend (FP32/16)Gunes Bayir
This patch optimizes transposed convolution for CL backend by rewriting it in a single kernel instead of three (flip_kernel + upsample + conv). The new kernel skips the upsampling step which reduces the input space of convolution by stride_x * stride_y, resulting in significant performance improvement. It also skips the kernel flipping by traversing the weights accordingly, thus reduces the memory footprint. Resolves: COMPMID-5676 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Change-Id: I8a333212dc7c5f7f0597aa58b0d56d44814baa14 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8588 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-11-01Rewrite dynamic fusionSiCong Li
The new version introduces the following major changes: * Change public interface to simplify and standardize the user experience - Use the term "Workload" uniformly - Simplify operator interface to be a set of static methods: validate_op(), create_op() * Separate the kernel writing into its own component (template_writer). This is to allow the co-development of GpuKernelWriter, and to allow easy replacement once GpuKernelWriter is mature. * Optimize the core fusion algorithm used by the component graph. The details can be found in GpuKernelComponentGraph::fuse() * Use Gpu instead of Cl prefixes for most of the Workload interfaces (except for runtime and kernel components, which have to be language specific) This allows the potential extension to other Gpu langauges in the future. * Refactor runtime memory interface so that auxiliary tensor handling is separate from the user tensor passing. This is because the former is less stable and may require extension in the future. * Hide source code object from the user as it is not required at the moment * Deprecate the old prototype entirely by disabling it in SCons build Resolves COMPMID-5510, COMPMID-5512, COMPMID-5513 Change-Id: If69d2362856f2de4503546b7b6cf48a525cf3079 Signed-off-by: SiCong Li <sicong.li@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8406 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-09-26Add FP32 Neon™ swish activationJonathan Deakin
Change-Id: Id37b59adbc8c4cbe218d1652aeb02a0b4ce42c66 Signed-off-by: Jonathan Deakin <jonathan.deakin@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8256 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-09-14Adding GELU activationMurray Kornelsen
OpenCL implementation uses built in erf. NEON implementation requires new vectorized erf. Uses the following approximation: erf(x) = 1 - 1 / (1 + a1x + a2x^2 + a3x^3 + a4x^4)^4 a1 = 0.278393, a2 = 0.230389, a3 = 0.000972, a4 = 0.078108 From https://en.wikipedia.org/wiki/Error_function#Numerical_approximations Signed-off-by: Murray Kornelsen <murray.kornelsen@mail.mcgill.ca> Change-Id: I2d3964b2c26a4334166b17135f9104bc6324fad2 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7921 Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Pablo Marquez Tello <pablo.tello@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-09-01Compute Hard-Swish with a Lookup table for qasymm8_signed.Pablo Marquez Tello
* Resolves COMPMID-5211 Change-Id: I7cc72662bb1cf52bf112685639d3dbba33d1333f Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7993 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2022-08-17Add LUT for quantized sigmoid functionViet-Hoa Do
* Move LUT implementation to a seperate file. It will be used for both QASYMM8 and QASYMM8_SIGNED. * Fix wrong constant value related to QASYMM8_SIGNED leaky ReLU in 32-bit build. Resolves: COMPMID-5464 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: I2b24d52409a38f1b66fd532f431eff8a9e4547b6 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8066 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-08-04[ONCPUML-970] Fast math mode for fixed format kernelsPablo Marquez Tello
Minor tweaks and test for running fixed format kernels with BF16 operations when specified by the user. Change-Id: Ic8167f67b86b1298da65e46cfebed9f3b86940e4 Signed-off-by: Milos Puzovic <milos.puzovic@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8000 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-08-03[ONCPUML-968] Fixed format kernel support in additional APIsMilos Puzovic
Implements required plumbing in order to be able to ask and execute fixed format kernels from NEFullyConnected, NEGEMM and NEGEMMConv2d. These APIs are used to accelerate oneDNN primitives (inner product, matrix multiplication and indirect GEMM respectively) and without changes it would not be possible to call fixed format kernels from those oneDNN primitives. Change-Id: I27534f0491ce28d0ccb98c19f318bd33dcdf2ff5 Signed-off-by: Milos Puzovic <milos.puzovic@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7999 Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-07-26Fix for inclusion of "arm_gemm" from src into "Types.h" from coreRamy Elgammal
- Added arm_compute::WeightFormat and converted to/from arm_gemm::WeightFormat when needed through two map function. - Moved to_string(WeightFormat) to TypePrinter.h Resolves: COMPMID-5415 Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com> Change-Id: I65f7942100bcd4dbf2c5cf6c07f26c8e1e3bf86e Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/c/VisualCompute/ComputeLibrary/+/438511 Tested-by: bsgcomp <bsgcomp@arm.com> Reviewed-by: Pablo Tello <pablo.tello@arm.com> Reviewed-by: Sicong Li <sicong.li@arm.com> Comments-Addressed: bsgcomp <bsgcomp@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7985 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-07-19[ONCPUML-951] Variable weight support for Convolution.Francesco Petrogalli
API changes for NEGEMMConvolutionLayer and CpuGemmConv2d Built with: scons neon=1 opencl=0 os=linux arch=armv8.2-a multi_isa=1 \ build=native -j32 Werror=false validation_tests=1 build_dir=opt \ standalone=1 asserts=1 experimental_fixed_format_kernels=1 . Tested with: ./build/opt/tests/arm_compute_validation Hardware where the test executable was run: Neoverse N1 Test coverage: * NEGEMMConvolutionLayer, CpuGemmConv2d * NHWC (the only one supported by the fixed-format kernels) * F16, F32 * Shapes: RunSmall Change-Id: I4fd3e495a7cbf61210ea02d37440ba9652934e99 Signed-off-by: Francesco Petrogalli <francesco.petrogalli@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7632 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-06-29Add LUT-based leaky relu for QASYMM8 on CPUViet-Hoa Do
* Add LUT generation function for Leaky ReLU. * Some additional changes in the existing LUT implementation: + Bring back the NEON implementation of hard swish for 32-bit build. Library size of 64-bit build is not affected. + Add some extra #ifdef to remove unnecessary code in 32-bit build. Resolves: COMPMID-5386 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: I1ea49611cc922765ee741e31138c888401d33e9b Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7845 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2022-06-07Compute Hard-Swish with a Lookup table for qasymm8.Pablo Marquez Tello
* Resolves COMPMID-5211 Change-Id: I5914f971d733174dae67e6b4c589f45c75733cf7 Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7654 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2022-05-24[arm_gemm] Import fixed-format kernels from gemm_linux.Francesco.Petrogalli@arm.com
This is a No Functional Change Intended (NFCI) patch. It imports the kernel in the code, but the interface to select them and expose the format of the weight tensors to the user will be provided in a subsequent patch. Kernels and kernel selection code in arm_gemm has been provided by David.Mansell <David.Mansell@arm.com>. The kernels are not compiled in the library by default, but need to be selected via the `scons` option `experimental_fixed_format_kernels=1`. Resolves: ONCPUML-829 Signed-off-by: Francesco.Petrogalli@arm.com <francesco.petrogalli@arm.com> Change-Id: If00ccb2b9b7221e01b214cf9783111226ccc8bf4 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7380 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2022-05-06Integrate Dynamic Fusion patchesSiCong Li
* Add public interfaces: * OperatorGraph: Describe a workload that could contain fused kernels * IWorkload: Generic interface for workloads built from OperatorGraph * ClWorkload: OpenCL workloads built from OperatorGraph * ClCompositeOperator: Runtime async operator to execute a ClWorkload * DependencyGraph (will likely be deprecated in later iterations) * Add example * cl_fused_conv2d_elementwise_add.cpp to explain how to use the new interfaces * Add internal translation layer * Refactor ClKernelBuildingAPI * Remove non-tile based gemm native kernel component * Minor interface changes * Add integration tests Resolves COMPMID-5161 Signed-off-by: SiCong Li <sicong.li@arm.com> Change-Id: Ib987ed79289ab0bcbd3130d54f5793408d9f1240 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7510 Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2022-05-06Extend GemmLowp reference to support BATCH MATMUL for quantized data typeAdnan AlSinan
- Extends GEMMInfo class to include flags for transposing A and B. - Extends GEMMLowp fixtrues to have an option for transposing A and B. Resolves COMPMID-5075 Signed-off-by: Adnan AlSinan <adnan.alsinan@arm.com> Change-Id: If5e4b7e2b7b19ca30808a78a9641d8ba3f176a26 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7458 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
2022-04-21Add missing noexcept.Michalis Spyrou
This fixes building faillures with gcc9. Change-Id: I993116866b0f1e41cb2518e880798ad1f8c2e0af Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7448 Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2022-03-15Implementation of ClPooling3dramelg01
- For NDHWC layout - For F16 and F32 data types - Mixed Precision stil not supported Resolves: COMPMID-4670 Signed-off-by: ramy.elgammal@arm.com Change-Id: I0e14a13e4625569e8e5ee67e6033bd1efe0da469 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7262 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2022-03-01Add Pool3d reference implementationGunes Bayir
This patch - adds the reference implementation for the 3D pooling layer - supports FP32/FP16 and INT8/UINT8 types - adds a function to calculate the output shape for 3D pooling - adds a new type for describing pool 3d info (Pool3DInfo) Resolves: COMPMID-4659 Change-Id: I22a18fa30625c98fa827ef1b50781db6893ba9c4 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7219 Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2021-11-26Fix Cpu Conv3d gcc 8.3 build issuesFreddie Liardet
Resolves: COMPMID-4986 Signed-off-by: Freddie Liardet <frederick.liardet@arm.com> Change-Id: I54b682d377f3bcfc57fec54113debc5e8a1d75df Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6745 Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-11-09Enable fast_math in CpuFullyConnectedcfRod
ONCPUML-529 * Add support for passing fast_math for fullyconnected layers via fc_info. * Add support for passing fast_math to run ACL benchmark graphs. * Add validation test and accuracy tests (updated fixtures). Note: abs and rel. tolerance for fast math mode are set based on experimental data. Signed-off-by: cfRod <crefeda.rodrigues@arm.com> change-Id: Ib107d6264d3ae5e36555334f39a13e678f8618df Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6521 Reviewed-by: SiCong Li <sicong.li@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-11-01Add PostOp support to GEMM and CLGEMM operators and functions Part 2SiCongLi
* Implement PostOp interface changes * Remove spaces around "=" in TypePrinter Partially resolves COMPMID-4435 Signed-off-by: SiCongLi <sicong.li@arm.com> Change-Id: If1e2280554030a0f635e73339a2e86987f6dc41b Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6484 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Sheri Zhang <sheri.zhang@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-10-28Add experimental PostOp interface to ClGemmMatrixMultiplyReshapedKernel Part 1SiCongLi
This interface supports the fusion of multiple elementwise operations Partially resolves: COMPMID-4435 Change-Id: If68dd7dd98dcf239fde7cb1f0a4a6d4d1e899a6f Signed-off-by: SiCongLi <sicong.li@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6483 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-10-12Remove padding in cpuPool2d NCHWFreddie Liardet
Remove padding from all cpuPool2d NCHW kernels (FP16,FP32 & Quantized) Resolves: COMPMID-4728, COMPMID-4823 Signed-off-by: Freddie Liardet <frederick.liardet@arm.com> Change-Id: Ida619f67cd6606b33828f2d9dee925aeb794cc50 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6358 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-10-07Add support for 5D data layout indexingGiorgio Arena
Signed-off-by: Giorgio Arena <giorgio.arena@arm.com> Change-Id: Ib346bb6b90d2220ec5934c83a9a1f0cd540b8731 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6377 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2021-09-29Add support for non-constant weights and biases in CpuFullyConnectedGiorgio Arena
Changing the approach for specifying that weights and biases tensors are non-constant by making it a member of TensorInfo rather than an option of the functions. Resolves: COMPMID-4222, COMPMID-4811 Signed-off-by: Giorgio Arena <giorgio.arena@arm.com> Change-Id: I9b0081ccbcf8271ce029ba6755563d64c59e1d32 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6313 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-09-22Provide logging for configure functions in all NEON functionsramelg01
Partially Resolves: COMPMID-4718 Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com> Change-Id: I655268c57fa126d9c99981c49d345a3aac75646e Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6286 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com>
2021-09-16Revert "Add support for non-constant weights and biases in CpuFullyConnected"Pablo Marquez Tello
This reverts commit aed63ee175e0d64c934389e9d1b2edd0cb1a5cdd. * Resolves COMPMID-4812 Change-Id: I16919e2f3b22c868ae146d0d10dae97a80e1ba46 Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6266 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Sheri Zhang <sheri.zhang@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-09-15Adds Conv3d reference implementation support.Adnan AlSinan
Expands the interface with the following items: - Size3D Class. - Conv3dInfo Struct. - Padding3D Struct. - Add 'NDHWC' to supported Tensor Data Layouts. - Add function to compute expected size of Conv3d. Resolves COMPMID-4658 & COMPMID-4657 Signed-off-by: Adnan AlSinan <adnan.alsinan@arm.com> Change-Id: Ic7452c48461eedaa38eaf3ac458f54b031e7dfa8 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6187 Reviewed-by: Giorgio Arena <giorgio.arena@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2021-09-07Add support for non-constant weights and biases in CpuFullyConnectedMichele Di Giorgio
Changing the approach for specifying that weights and biases tensors are non-constant by making it a member of TensorInfo rather than an option of the functions. Resolves: COMPMID-4222 Change-Id: I96e6f3868f51785c9700a3ef6a1fe7b05747862c Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6162 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
2021-07-22Update GEMM assembly kernelsGeorgios Pinitas
- Introduce Fp32 kernels with internal calculations in Bfloat16 when fast_mode is enabled - Improve kernel selection heuristics Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com> Change-Id: I68a9e7e862b6fd2721b46e0d7cc791091c4ab279 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5965 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-06-29Port NEGEMM to memory injecting interface (Part 1)Michele Di Giorgio
- Start porting NEGEMM to the new API - Port NEGEMMInterleave4x4Kernel to the new API - Port NEGEMMMatrixAdditionKernel to the new API - Port NEGEMMTranspose1xWKernel to the new API - Remove padding from NEGEMMMatrixAdditionKernel - Remove unused INESimpleKernel and ICPPSimpleKernel Partially resolves: COMPMID-4402 Change-Id: I63edadddfe00a54586e5384d6a0211db25ae9042 Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5857 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-06-15Add NHWC support to CLRemapFrederick Liardet
Add NHWC support to CLRemap, also add relevant tests. Partially resolves COMPMID-4335. Change-Id: I119bea99be497fb85d5cd83a10f8d4e8e1f97f17 Signed-off-by: Freddie Liardet <frederick.liardet@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5773 Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-05-20Add support for dynamic weights in CL FullyConnected layerGiorgio Arena
Make GEMM use its native version if weights are dynamic. This ensures no reshape gets performed on the weights tensor Enable dynamic weights tests for the OpenCL backend Resolve COMPMID-4223 Signed-off-by: Giorgio Arena <giorgio.arena@arm.com> Change-Id: Iccc4806701772cede23e24df09c786914d00034c Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5652 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
2021-05-18Port CLGEMM to memory injecting interfaceGeorgios Pinitas
Moves the following kernels: - CLGEMMMatrixMultiplyKernel - CLGEMMMatrixMultiplyNativeKernel - CLGEMMMatrixMultipluReshapedKernel - CLGEMMMatrixMultiplyReshapedOnlyRHSKernel Moves the following functions - CLGEMM Introduces facilities to easy handling of auxiliary temporary buffers under then new run interface. Such are: - CLAuxTensorHandler: That allows wrapping of workspace buffers memory to CLBuffer objects - Ability to inject TensorInfo to allocator without transferring ownership. This reduce the copy overhead if needed. Resolves: COMPMID-4188 Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com> Change-Id: I7055435d831b05b749b26302082e4ac45f26dfb0 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5498 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-05-11Add constant_weights boolean to FullyConntectedLayerInfoMichele Di Giorgio
This is needed to enable support for non-constant weights in Fully Connected Layer, useful in NLP use cases where Fully Connected layers weights come from other nodes in the graph and therefore change between runs. Resolves: COMPMID-4220 Change-Id: I0c2fe97eeb7554efac7ea9a6d6b7243332615052 Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5579 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-14 15:08:56 +0000