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2023-08-15Fix out-of-scope CLBufferMemoryRegion's buffer still in queue issueSiCong Li
When a CLBufferMemoryRegion is freed, it also frees its cl::Buffer object. At this point we need to flush the queue to ensure all prior commands that may use this buffer are completed before the buffer's deallocation. Previously a CommandQueue object is owned as a member inside CLBufferMemoryRegion. Whenever CLBufferMemoryRegion is freed it causes the queue to be released, which implicitly flushes the queue. Now we need to explicitly flush the queue, without the excessive releasing of the queue Resolves COMPMID-6492 Signed-off-by: SiCong Li <sicong.li@arm.com> Change-Id: I799507bcff8526d1381cde53d7c6298684c6d3ee Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10126 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>
2023-08-08Add support for S64 output in NEArgMinMaxLayerPablo Marquez Tello
* NEArgMinMaxLayer uses NEReductionOperation to compute its result in S32 * We need to call NECast to convert from S32 to S64 * Resolves MLCE-1089 Change-Id: I6fded869b6076d7af1b9b3e70eb384f4ee82fd8a Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10054 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>
2023-08-03Fix ReduceMean validate issueViet-Hoa Do
Resolves: COMPMID-6406 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: Ic638616f4cb228673928815b759caee3d094780d Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10043 Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: 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>
2023-07-25Fix problem with exception handling in CPPSchedulerMatthew Bentham
If an exception was thrown in the main thread, the child threads were not being synchronised, leading to undefined behaviour (and probably the program crashing instead of correctly propagating the exception). Add support to the build system for enabling ThreadSanitizer. This needs a build system option rather than simply passing extra_cxx/link_flags because the sanitizer options are incompatible with -Wl,-undefined,error. Add a unit test for throwing an exception within a CPPScheduler workload. Signed-off-by: Matthew Bentham <Matthew.Bentham@arm.com> Change-Id: I7638272a5d43a24a861f3e6d63f3ee7b099483b5 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/c/VisualCompute/ComputeLibrary/+/538048 Comments-Addressed: bsgcomp <bsgcomp@arm.com> Tested-by: bsgcomp <bsgcomp@arm.com> Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9957 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-07-21Enable S64 output in CLArgMinMaxPablo Marquez Tello
Resolves MLCE-1089 Change-Id: I8b385ef8a00ec5de60299bc7a359766ba5417e68 Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9918 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2023-07-18Break up core/Utils.h to reduce unused code being included everywhereMatthew Bentham
Makes a small difference to compile times and opens up other opportunities to simplify code. Change-Id: I232876910bbe4fa9719f4a0ce4a54c090faeb5ef Signed-off-by: Matthew Bentham <Matthew.Bentham@arm.com> Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/c/VisualCompute/ComputeLibrary/+/532429 Tested-by: bsgcomp <bsgcomp@arm.com> Reviewed-by: Pablo Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9856 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-07-13Fix excessive calls to clReleaseCommandQueueSiCong Li
Use the queue object from the singleton Scheduler to avoid repeatedly freeing cl::CommandQueue object on the stack. Resolves COMPMID-6021 Change-Id: I0baf5891a7974cf4c7efad1b13cc5f28e49a2745 Signed-off-by: SiCong Li <sicong.li@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9896 Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2023-07-11Add Bias to MatMul Kernels and add support for use in Fully Connected LayerMohammed Suhail Munshi
Resolves: [COMPMID-6316] Signed-off-by: Mohammed Suhail Munshi <MohammedSuhail.Munshi@arm.com> Change-Id: I08e6bac9e6b46b76978da0dc6a48ccfe3dde5086 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9833 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>
2023-07-10Do not include headers necessary for logging when logging is disabledMatthew Bentham
Speeds up compilation by 30% for some files when logging is disabled. Signed-off-by: Matthew Bentham <Matthew.Bentham@arm.com> Change-Id: Ia479bd50a80616a34e33ead13db8558f8dbaa1aa Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/c/VisualCompute/ComputeLibrary/+/534480 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/+/9880 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>
2023-07-07Enable transpose convolution with non-square kernelsViet-Hoa Do
Resolves: COMPMID-6319 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: I49a17ff973efc88b7ce0334c47ecf076c03f4cc3 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9829 Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-07-05Rewrote CLArgMinMax for axis 0Pablo Marquez Tello
* Simpler implementation without stages for axis 0 * Removed considerable amount of code. Resolves COMPMID-6271 Change-Id: Ie8bcb2f0b55f87472f44b38872a23a922619a211 Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9849 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>
2023-06-26Use MatMul in fully connected layer with dynamic weights when supportedMohammed Suhail Munshi
- Use MatMul kernels in FC layer when using dynamic weights without broadcasting or bias. - Fix minor typo in IClMatMulNativeKernelConfig.h Partially Resolves : [COMPMID-6193] Signed-off-by: Mohammed Suhail Munshi <MohammedSuhail.Munshi@arm.com> Change-Id: Id494062b5b4f4e75ff9714c202dde941955afa52 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9797 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>
2023-06-16Add Fused Activation to OpenCL MatMulMohammed Suhail Munshi
- Added fused activation to MatMul function interface - Added fused activation to CL backend - Includes tests for supported Activation Functions in MatMul Resolves: [COMPMID-6192] Signed-off-by: Mohammed Suhail Munshi <MohammedSuhail.Munshi@arm.com> Change-Id: Ie103212b600b60699eaf6a6394d609e6e1f5aba6 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/c/VisualCompute/ComputeLibrary/+/522465 Comments-Addressed: bsgcomp <bsgcomp@arm.com> Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Tested-by: bsgcomp <bsgcomp@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9714 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>
2023-06-15Break 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>
2023-06-09Reorder destructor in srcDavid Svantesson
Signed-off-by: David Svantesson <david.svantesson@arm.com> Change-Id: Iaed0933d665bd98829be49b9df11653d4d74081c Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9746 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>
2023-05-12Fix performance regression in FP16 DeconvolutionJakub Sujak
The previous heuristic for selecting the Deconvolution method with FP32 input data introduced a performance regression for FP16. A simple fix ensures the previous heuristic applies to FP32 types only. Resolves: COMPMID-6027 Change-Id: I77ca6c9c72534057a3967db58924a972b0efb09f Signed-off-by: Jakub Sujak <jakub.sujak@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9616 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>
2023-05-11Remove check for bias in CPU Depthwise ConvolutionJakub Sujak
The Depthwise convolution operation is not required to have a bias, hence the check may fail unexpectedly. Resolves: COMPMID-6250 Change-Id: I2844ffde6139f79ade118d756c930318f16fbe50 Signed-off-by: Jakub Sujak <jakub.sujak@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9615 Reviewed-by: Ramy Elgammal <ramy.elgammal@arm.com> Reviewed-by: Sang Won Ha Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2023-05-10Remove inclusion of NEReorderKernel header from NEReorderLayerRamy Elgammal
Resolves: COMPMID-6235 Change-Id: I7a094a23244286090415ee2788632cfa7bd6c037 Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9608 Benchmark: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2023-05-10Re-enable dyanmic weights in Neon™ depthwise convolutionRamy Elgammal
- Call Neon™ depthwise convolution validation inside in its configure() method. Resolves: COMPMID-6188 Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com> Change-Id: Ib2ae4d995ff2bbc92ce4496d4ab93cf09113e3e9 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9594 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-05-05Disable dynamic weights in unsupported operatorsViet-Hoa Do
Resolves: COMPMID-6185 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: Icfd9d177083ecdf41dc13e5b2ae982ff67492f8a Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9577 Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> 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>
2023-05-05Make NECast::validate take args by const pointerMatthew Bentham
Change-Id: I5d343e959942cb2ce48442d95d7c62aecd6a34d0 Signed-off-by: Matthew Bentham <Matthew.Bentham@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9573 Reviewed-by: SiCong Li <sicong.li@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2023-05-04Implement OpenCL MatMul heuristic for Arm® Mali™-G710Gian Marco Iodice
- Add heuristic for f32/f16 and int8 quantized data types - Include MatMul configuration selection in the CLMatMul operator Resolves COMPMID-5950, COMPMID-5957, COMPMID-5959, COMPMID-5925, COMPMID-5926, COMPMID-5927, COMPMID-5928 Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Change-Id: Ic222148da0337b88d4d8c960e3b6ac31003d8bcb Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9564 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>
2023-05-03Guards to make NEReorder aarch64 onlyDavid Svantesson
Resolves COMPMID-6151 Signed-off-by: David Svantesson <david.svantesson@arm.com> Change-Id: I0e8c957f3460633c32ef57be0cdc44a53b8c3e88 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9553 Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-05-02Add fp16 GeMM heuristic for Arm® Mali™-G710Gian Marco Iodice
- Performance improvements on various networks between 5-20% Resolves COMPMID-6030 Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Change-Id: Idcf7de57e6f5a94a6a94ec78229dd53c24de44f4 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/c/VisualCompute/ComputeLibrary/+/514481 Tested-by: Viet-Hoa Do <viet-hoa.do@arm.com> Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Comments-Addressed: bsgcomp <bsgcomp@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9524 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2023-05-01Add Reorder to changelogDavid Svantesson
Partially resolves ONCPUML-1232 Signed-off-by: David Svantesson <david.svantesson@arm.com> Change-Id: I258d03524c50dd24975b473aede061f80bf9d91b Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9534 Reviewed-by: SiCong Li <sicong.li@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2023-04-28Reorder addedDavid Svantesson
Adds Reorder kernel exposing blocking reorders from arm_gemm Resolves ONCPUML-1232 Change-Id: I42bf4166311fe1771565134d3ed7039fc8e30230 Signed-off-by: David Svantesson <david.svantesson@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9500 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-04-28Fix OMPScheduler run_workloads single thread issueSiCong Li
Resolves COMPMID-6032 Signed-off-by: SiCong Li <sicong.li@arm.com> Change-Id: Icca60deac7308173fc3a8282af91434b4d1c0b06 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9520 Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2023-04-26Change fp16 GeMM heuristic for Arm® Mali™-G77Gian Marco Iodice
- Replace existing heuristic with look-up tables - Expected performance improvement is between 5-15% on various models Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Change-Id: Ie26ddf66895ede131aa06fde7b200ef94d2dd467 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9472 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>
2023-04-26Integrate multi-threaded pretranspose_B_arraySiCong Li
This is required for the case where rhs (B) is dynamic and needs to be pretransposed in every run. In a multi-threaded setting, this means the previously single-threaded pretranspose_B_array would become the bottleneck Resolves COMPMID-5896 Signed-off-by: SiCong Li <sicong.li@arm.com> Change-Id: Id508c46992188a0f76a505152931d4955d04c16d Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9455 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> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-04-14Fix dynamic weights for CPU connected layerViet-Hoa Do
Resolves: COMPMID-5995 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: I707b8918bebee7e70d4de5207ef555c806e7a305 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9405 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2023-04-13Implement MatMul Function and Operator with Floating Point support for CPUMohammed Suhail Munshi
- Implements MatMul function and operator for floating point datatype FP16/FP32 - Includes support for transposing dynamic tensors prior to matrix multiplication. - Adds tests for 2D/3D/4D+ tensors in MatMul with F32/F16 datatype (with all combinations of transposed/not-transposed tensors) - Updates fixture to allow for testing fused activation in MatMul - Adds tests for matmul with and without fused activation Resolved: [COMPMID-5898] Signed-off-by: Mohammed Suhail Munshi <MohammedSuhail.Munshi@arm.com> Change-Id: Iefa84b26dd723c9a51e6c3f91023152c6c31ace2 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9411 Reviewed-by: SiCong Li <sicong.li@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>
2023-04-03Implement MatMul FunctionRamy Elgammal
Resolves: COMPMID-5949 Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com> Change-Id: Idd8cfe6ea94a14f0b23178f6781251b5f0955563 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9390 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>
2023-04-03Add Cropping to CLBatchToSpaceOmar Al Khatib
- Deprecate dynamic block shape interface - Iterate over output window instead of input window for simpler implementation and better performance. - Add cropping support and cropping tests Resolves [COMPMID-5865] Signed-off-by: Omar Al Khatib <omar.alkhatib@arm.com> Change-Id: Ic67d44a6a39299ecdafc507f12e3dc5d517dfb62 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9385 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-03-30Add cropping support to NEBatchToSpaceSiCong Li
- Deprecate dynamic block shape interface - Iterate over output window instead of input window for simpler implementation and better performance - Add cropping support and cropping tests Resolves COMPMID-5918 Signed-off-by: SiCong Li <sicong.li@arm.com> Change-Id: Ifea0f5f7760ffd0f4d5d4f3a5ae8d14d0b98b790 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9378 Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-03-21Add dynamic weights for CPU fully connected layerViet-Hoa Do
Resolves: COMPMID-5917 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: I073067b490f2a1b96b81a037ea431c9a2e5c7503 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9322 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>
2023-03-14Add 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>
2023-03-06Fix LWS search space used by CLTunerSiCong Li
* Ensure CLTuner uses the real GWS used by run(), instead of the static GWS (which is usually changed at run time), by caching GWS in each kernel Note this is a somewhat inelegant workaround. The real issue stems from the fact that execution window and scheduler are very much coupled with our operator run() / run_op() method. (Please see COMPMID-5934) * Restrict LWS values to explore within GWS bound for exhaustive mode * Refactor gws_from_window() to include all the information required to calculate GWS * Log lws search space used for tuning * Fix ClDirectConv2dKernel config id Resolves COMPMID-5892 Signed-off-by: SiCong Li <sicong.li@arm.com> Change-Id: I420490d8b94d13ada2e44eb0a12078f883379334 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9193 Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-03-03Add weights_info as optional input for NEDeconvolutionLayerAnnop Wongwathanarat
This is so that we can leverage fixed format kernel when using gemm convolution method. Partially resolves: [ONCPUML-1129] Change-Id: I61ffa74f5cd9d75579dbc1f9aa187371f855e932 Signed-off-by: Annop Wongwathanarat <annop.wongwathanarat@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9248 Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-02-14Extend skip upsampling for deconvolution for non-1x1 kernelsAnnop Wongwathanarat
Skip upsampling step for deconvolution when input strides are 1 regardless of kernel size. This is achieved by setting correct paddings for unit strides convolution. Resolve: [ONCPUML-1183] Change-Id: Ief88f9fe30f6f56d3358e3cf6a506ab8b5691f18 Signed-off-by: Annop Wongwathanarat <annop.wongwathanarat@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9134 Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-02-09Fix performance regression in Transposed ConvolutionGunes Bayir
Resolves: COMPMID-5849 Change-Id: I86f8bbc1f3a7c12c66d5ad8fcd74dd9e69629aa0 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9102 Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Dynamic-Fusion: Jakub Sujak <jakub.sujak@arm.com>
2023-02-01Add new operator AddMulAdd for Neon™ backend for Float/Quantized typesGunes Bayir
This is a fused operator that merges Add + Mul + Add [+ Relu-based-Activation] layers and have an intermediate output after the first Add. It's supported for FP16/32/QASYMM8/QASYMM8_SIGNED data types. The subsequent Add and Mul are intended for scaling and the coefficients only have one dimension (per channel). The inputs are - input1 : nD tensor [X, Y, Z, W, ..] - input2 : nD tensor [X, Y, Z, W, ..] - add_coef : 1D tensor [X] - mul_coef : 1D tensor [X] The outputs are - out1 : nD tensor (intermediate output) [X, Y, Z, W, ..] - out2 : nD tensor (final output) [X, Y, Z, W, ..] The operation can be summarized as follows: out1 <- input1 + input2 out2 <- Act(out1 * mul_coef + add_coef) The activation function can be Identity, Relu, Bounded Relu or Lower/Upper Bounded Relu. The intermediate output can be skipped by providing a nullptr. The reason of providing this operator is to be able to fuse in case of Residual network patterns and save computations by reducing memory back and forward. Resolves: COMPMID-5463 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Change-Id: I8ef577aa623b036e9a9f655cc088493fd19a6109 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9055 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
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>
generated by cgit v1.2.1 (git 2.23.0) at 2024-06-30 01:39:29 +0000