aboutsummaryrefslogtreecommitdiff
path: root/src/runtime
AgeCommit message (Collapse)Author
2023-02-01Remove fixed format strides hackJonathan Deakin
- Remove hack in CpuGemmAssemblyDispatch.cpp which tried to guess strides for fixed format kernels. Instead, expect that strides will have been correctly set on weights externally - Update fixed format test fixtures to set the strides - If the fixed format uses fast math mode, then weights should be of type BFLOAT16. Change the validation logic to accept this. Resolves: [ONCPUML-1131] Co-authored-by: Milos Puzovic <Milos.Puzovic@arm.com> Change-Id: I0f18d8b86b0f639be25fd122fa06a591e90645f2 Signed-off-by: Jonathan Deakin <jonathan.deakin@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8985 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-01-30Skip upsampling for deconvolution when not neededAnnop Wongwathanarat
If the input tensor's stride is 1 and the kernel size is 1x1, skip upsampling step and pass the input tensor pointer for convolution directly. Partially resolve: [ONCPUML-1137] Change-Id: I9de9444ff99cf35d44a51ccbe0fa6facc1035d27 Signed-off-by: Annop Wongwathanarat <annop.wongwathanarat@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8994 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-01-23Fix performance regression when stride equal to kernel sizeGunes Bayir
This patch prefers Gemm-based transposed deconvolution algorithm in case kernel sizes and strides are equal to each other in each dimension. Resolves: COMPMID-5815 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Change-Id: I22052e48341f3284d6bafbdbcce4a48399dc8e87 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8970 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
2023-01-20Add enable_fast_math for NEDeconvolutionLayerAnnop Wongwathanarat
Resolves: [ONCPUML-1128] Signed-off-by: Annop Wongwathanarat <annop.wongwathanarat@arm.com> Change-Id: I287a71222d3f0289d8cccfcb15383b0a930a55e6 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8952 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>
2023-01-18Revert "Update the heuristic for CLDepthwiseConvolutionNative kernel"Gian Marco Iodice
Resolves COMPMID-5813 Change-Id: I5ef6fe9fb6a54db18e41a71085896fd08bc08dbb Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8975 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>
2023-01-12Update the heuristic for CLDepthwiseConvolutionNative kernelGian Marco Iodice
- Use T_LOAD2D_INDIRECT macro instead of T_LOAD_NHWC_WITH_DILATION in the depthwise convolution opencl kernels - Update the heuristic for Arm® Mali™-G77 Resolves COMPMID-5716 Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Change-Id: I32d375b220e04bf05f5d8f0af2231bde600f0665 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8930 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@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>
2022-12-30Move DWC native heuristic into the heuristic folderGian Marco Iodice
- Move the DWC native heuristic from CLDepthwiseConvolutionLayer to heuristic/ - Update the heuristic for Arm® Mali™-G77. Use a smaller block size (4x2) for Fp16 - Call the new heuristic in GpuDepthwiseConv2d Resolves COMPMID-5798 Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Change-Id: I6bfd30cea76bea2e98202a7a5c1d51709f3382a4 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8889 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>
2022-12-29Update 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>
2022-12-21Optimize MeanReduce by integer acc. and removing upfront dequant.Omar Al Khatib
Resolves: [COMPMID-5466] Signed-off-by: Omar Al Khatib <omar.alkhatib@arm.com> Change-Id: I68af0bb54580bebd2ace1fba30aa73f7f68a4dbb Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8804 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>
2022-12-14Optimize Transposed Convolution for CL backend (Quantized)Gunes Bayir
This patch optimizes transposed convolution for QASYMM and QASYMM8_SIGNED types, by extending the transposed convolution kernel written for FP32/16. Resolves: COMPMID-5723 Change-Id: Iab8f09231938adb949c506fd915ed45b885e5c7c Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8792 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>
2022-12-09Use heuristics for setting dynamic fusion direct conv2d tile sizesRamy Elgammal
Resolves: COMPMID-5735 Change-Id: I9958413b69c5052cfa205dd0e9457cc4953aaf35 Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com> Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/c/VisualCompute/ComputeLibrary/+/474818 Tested-by: bsgcomp <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Comments-Addressed: bsgcomp <bsgcomp@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8724 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-12-09Implement the OpenCL kernel to compute the indirect convolutionGian Marco Iodice
- Implement indirect convolution kernel - Add operator support - Add test Resolves COMPMID-5709 Change-Id: I9272304163471a5a40da7fdec204599f3c1d8e32 Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8701 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>
2022-11-22Remove dynamic fusion prototype with tests and examplesSiCong Li
Public headers of the new experimental dynamic fusion can be found in arm_compute/dynamic_fusion/ New examples on how to use the interface can be found in tests/validation/dynamic_fusion/gpu/Integration.cpp Resolves COMPMID-5683 Change-Id: I7ccb902a227fb487562df15fc3c30118d1d95bbd Signed-off-by: SiCong Li <sicong.li@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8671 Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2022-11-18Add num_threads_to_use to OMPScheduler based on workload sizecfRod
Fixes benchdnn test failures in ONCPUML-1104 when num_threads is greater than workload size. Signed-off-by: Crefeda Rodrigues <crefeda.rodrigues@arm.com> Change-Id: Ic351a3ab5b548aa1843042a053130b02d0f1d40e Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8655 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Viet-Hoa Do <viet-hoa.do@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>
2022-10-06Rework DepthwiseConvolution heuristic on OpenCLGian Marco Iodice
Resolves COMPMID-5632 Change-Id: I2bdbe69a610ca2510fbd74d5d412842679299762 Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8365 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2022-09-16Optimize Quantized/Integer Bilinear Scale for Neon™Gunes Bayir
This patch introduces several performance optimizations regarding the Bilinear Scale operator with REPLICATE Border mode. Changes apply only to NHWC. This patch - Reduces the memory footprint by disabling precomputation of indices and weights when they're not used - Rewrites the kernels for QASYMM8/QASYMM8_SIGNED/U8(Uint8) - Adds S8(Int8) Bilinear Scale for Border mode REPLICATE - Removes Bilinear Scale SVE kernels for Quantized and Integer types and adjust the heuristics to choose the Neon™ implementation - Adds new test cases where the input and output of the Bilinear Scale operator have different quantization scale and offset Resolves: COMPMID-5453, COMPMID-5454 Change-Id: I3d251e76e0c6978fd5a0a1795ec62ab536bec93c Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8250 Reviewed-by: SiCong Li <sicong.li@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-09-09Optimize FP32/16 Bilinear Scale Kernel for Neon™Gunes Bayir
This patch removes index and weight pre-computations where it's not used and reduces some calculations inside the inner-most loop of Scale. Resolves: COMPMID-5452 Change-Id: Ie149b1b76a90a8cb659ada0f97aef78caf69932f Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8220 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2022-09-07Optimize depthwise convolution on OpenCLGian Marco Iodice
The optimization concerns the case where the depth multiplier is > 1. The depth multiplier for loop has been removed from the OpenCL kernel and the GWS has been mapped to the output shape. In this way, we can still perform a tile with N0 columns and improve the performance of depthwise conv over 80% when depth multiplier is > 1. Resolves COMPMID-5568 Change-Id: I604e287d4eeb31c54b9cc6c3072a698cd0e3e136 Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8184 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-09-01Use parent buffer in CLSubTensor. This avoids calling enqueueMapBuffer ↵Murray Kornelsen
repeatedly when mapping multiple children of the same parent. Signed-off-by: Murray Kornelsen <murray.kornelsen@mail.mcgill.ca> Change-Id: I7ff554915a37320dfd94f15a6fb01a72a235cf39 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7920 Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-08-24Fix validation problem in CLQLSTMLayerPablo Marquez Tello
* Resolves MLCE-799 Change-Id: I3d5b2afbf65d159aa5e645743c1e139110dfc20e Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8093 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-08-11Fix CTS/SLTS failure related to Depthwise ConvolutionGunes Bayir
The issue is caused by GPUTarget not being set explicitly for the Depthwise convolution kernel, but it's being used in its build configuration. This causes the default value to be used and enables some unsafe FP optimizations. Resolves: COMPMID-5490 Change-Id: I5300a1168962cacb62cf49db795f052cf6740c7e Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8059 Reviewed-by: SiCong Li <sicong.li@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: 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>
2022-08-01Fix for OpenMP scheduler work breakdownMilos Puzovic
If number of work items is greater than number of available threads then OpenMP scheduler will only execute as many work items as there are threads. This fix makes sure that we iterate through all work items and execute all of them. Change-Id: I3ad4b732c01fadc70dacaf09af3007d2b31086c7 Signed-off-by: Milos Puzovic <milos.puzovic@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8001 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Pablo Marquez Tello <pablo.tello@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>
2022-07-14Integrate new winograd APIs from MLTechramelg01
Resolves: COMPMID-5400 Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com> Change-Id: Ib4428436dd7a6e40d8b2d8a2f8dac1b079154551 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7894 Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-07-13Add Gemm MMUL Reshaped Only Rhs Support for FP32/FP16Gunes Bayir
This patch introduces a GEMM routine that is optimized for Arm(R) Mali(TM)-G715 and Arm(R) Mali(TM)-G615 Resolves: COMPMID-5216 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Change-Id: I2e5d7806f5904347185bb3e250f73d73d6669dba Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7914 Reviewed-by: SiCong Li <sicong.li@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-07-07Add missing flag when building cl graph examples and fixMichalis Spyrou
incorrect cl cache behaviour Resolves: COMPMID-5286 Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com> Change-Id: I1aa82825ef7d31d7830a00282d1a3523ccf1d746 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7883 Benchmark: 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> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2022-05-31Fix compilation error in 32-bit with logging buildViet-Hoa Do
* Use %zu format specifier for size_t data. Resolves: COMPMID-5377 Change-Id: I84e6aea8ab34ca4616eeecfb06d573eaa329bd67 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7649 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michalis Spyrou <michalis.spyrou@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>
2022-05-06QLSTM add support for different qinfoMike Kelly
* Resolves MLCE-604 Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: Ice3d6f361588f1a6bd0bff301c27b0d063a5c014 Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7529 Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2022-04-21NEQLSTM: perform type conversion in prepare method.Pablo Marquez Tello
* When input_to_forget_weights is QASYMM8_SIGNED, the conversion to QSYMM8 is done in the prepare method * Partially resolves MLCE-604 Change-Id: Iddadbc50d77381542451ac4e46de49b2706bc88c Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7441 Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2022-04-14Enable dynamic cl tuning for dynamically fused kernelsSiCong Li
* Add new tune_kernel_dynamic interface * Add generate_config_id Resolves: COMPMID-5154 Signed-off-by: SiCong Li <sicong.li@arm.com> Change-Id: I39870e59fceda875487970061ceb2048995c5a45 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7400 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Giorgio Arena <giorgio.arena@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2022-04-13Add DirectConvolution2D kernel component for dynamic fusionGunes Bayir
Resolves: COMPMID-5156 Change-Id: I438da924cb80d3bce72106b06ca7181e0606bd01 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Signed-off-by: Giorgio Arena <giorgio.arena@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7399 Reviewed-by: SiCong Li <sicong.li@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2022-04-01Add CPU Pool3d FP16/32 implementationAdnan AlSinan
- Add implementation for the CPU pooling 3d layer. - NDHWC data layout support - Support FP32/FP16. - Add Pool3d to the operator list. - Fix CL Pool3d kernel comments to generate the operator list. Resolves: COMPMID-4671 Signed-off-by: Adnan AlSinan <adnan.alsinan@arm.com> Change-Id: I92478a154beb12541525b648ed3dd5a58c8f27fa Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7311 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Giorgio Arena <giorgio.arena@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> (cherry picked from commit 572659a0e5dd1086b1c7d16fe331ff73d2acd93a)
2022-03-29NEQLSTM: Add support for QASYMM8_SIGNED for input_to_forget_weightsPablo Marquez Tello
* QLSTM only supports QSYMM8 for the argument input_to_forget_weights * We add support for QASYMM8_SIGNED by dequantizing and requantizing to QSYMM8 * Resolves COMPMID-5184 Change-Id: I1cae18d81dafdb7ae722b520a1354cf4a56b9606 Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7321 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> (cherry picked from commit 187a041dedf8e9db0c9e0652f13f8639dca880f3)
2022-03-24QLSTM add support for different qinfo in weightsPablo Marquez Tello
Resolves COMPMID-5185 Change-Id: I61e1453e8851ab84c1cadc10587ebd23fd94799e Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7330 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Giorgio Arena <giorgio.arena@arm.com> Comments-Addressed: 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>
2022-03-10Added windows native build supportPablo Tello
Resolves MLCE-739 Signed-off-by: Pablo Tello <pablo.tello@arm.com> Change-Id: I30a11393e928061c82a5c93d8ec195c04a0e838b Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7279 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Giorgio Arena <giorgio.arena@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2022-03-08Merge kernel prototype patchGiorgio Arena
Resolves: COMPMID-5151 Signed-off-by: Giorgio Arena <giorgio.arena@arm.com> Change-Id: Ic4024d5cd4819fe917a1d49621f1866ae2e90a37 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7260 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2022-02-16Fixed threshould argument order in NE/CL/LSTMPablo Marquez Tello
* Fixed hardcoded LOGISTIC activation in ACL reference * Partially resolves MLCE-60 * Resolves COMPMID-5139 Change-Id: I50e75339084ea53bf75acf18aa3e5cdafcf34c15 Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7150 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: TeresaARM <teresa.charlinreyes@arm.com> Reviewed-by: Giorgio Arena <giorgio.arena@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2022-02-14Port MaxUnpoolingLayer kernel and add KernelSelect vaidation testDana Zlotnik
Resolves COMPMID-4958 Change-Id: Ibed5155f2e3ece46635f6ea9617bf11cefc402b1 Signed-off-by: Dana Zlotnik <dana.zlotnik@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7028 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Giorgio Arena <giorgio.arena@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2022-02-09Remove deprecated remap functions.Adnan AlSinan
- Remove CLRemapKernel. - Remove NERemapKernel. Partially resolves COMPMID-4984 Signed-off-by: Adnan AlSinan <adnan.alsinan@arm.com> Change-Id: Ia61f9ac7447695d81178701cf0e9b7625a91eccc Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7056 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2022-01-25Add OpenBSD/arm64 support.Kevin Lo
Signed-off-by: Kevin Lo <kevlo@kevlo.org> Change-Id: I6f29bdb55caeec8893f128fdd50bdcc3d058cb3c Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6905 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com> Comments-Addressed: Pablo Marquez Tello <pablo.tello@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2021-11-16Implement 1D Adaptive Workload Splitting in CPPSchedulerDana Zlotnik
Resolves COMPMID-4649 Change-Id: I941d2f8a40737ff05c49f6695a42884731ef2dc9 Signed-off-by: Dana Zlotnik <dana.zlotnik@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6656 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-11-15Initialise quantization info in NEPadLayerPablo Marquez Tello
* Resolves COMPMID-4884 Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Change-Id: Id28f0df242fe240c70f22e3ad55e4729ab1e40fe Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6641 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Sheri Zhang <sheri.zhang@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-11-12Fix PostOp dependencySiCongLi
In general src headers should not be included in any public header of other modules. Since there are modules (graph, tests) that rely on specific PostOp definitions in the previous src/core/experimental/PostOp.h, export it to the public arm_compute header Resolves COMPMID-4974 Signed-off-by: SiCongLi <sicong.li@arm.com> Change-Id: I0fa4da5108a34fe6bfff1e9d57839da4e51dc314 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6673 Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: 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>
generated by cgit v1.2.1 (git 2.23.0) at 2024-07-01 01:17:02 +0000