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2022-05-10Add support for 2d and 3d indices for axis 0Pablo Marquez Tello
* Partially resolves COMPMID-5055 Change-Id: Id05374b8c69e6b9ab4c2790a4de93d7172063b71 Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Change-Id: Ic6e2c2d1d34abbf6222c8d56859514e267447266 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7488 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>
2021-10-18Fix precision issue in ChannelShuffleKernelPablo Marquez Tello
* Fixed the issue in NHWC Neon * Fixed the rounding error in CL * Added a new test case to reproduce the problem * Resolves COMPMID-4831 Change-Id: I1613168cad580ca5acefe8ba340130af05cffaff Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6454 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Giorgio Arena <giorgio.arena@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-10-15Conv3d supportSheri Zhang
* Add CpuDirectConv3d support for fp32 and fp16 * Dilation is not supported * Need decouple Partially resolve: COMPMID-4661 Signed-off-by: Sheri Zhang <sheri.zhang@arm.com> Change-Id: Ib1865b9ff328b684d131512b1baf77bc2f10318f Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6430 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
2021-10-06Optimize CpuScale NHWC F32/F16Gian Marco Iodice
- Rework CpuScaleKernel F32/F16 NHWC - bilinear - Rework CpuScaleKernel F32/F16 NHWC - nearest - Add test to validate the vector computation path Resolves COMPMID-4801, COMPMID-4802 Change-Id: Ie6e4f262a8cce509edd7b8f564c940758625c58a Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6361 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com>
2021-09-15Provide tests for fusing pad layer in graph APIGunes Bayir
There are two tests: - A unit test that checks if certain padding configurations are to be fused or not - A fixture test that compares a reference implementation of pad+conv vs target implementation using the same fusing logic as graph API Tests are written for CL backend only to prevent code duplication. The code written in the graph API remains untested. Resolves: COMPMID-4702 Change-Id: Ie84d1cb910013033b46ac9d66cf5fc556d4963d2 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6252 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Sheri Zhang <sheri.zhang@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-09-03Review all shapes in datasets to account for padding removal Part 1Gian Marco Iodice
* Add the following configurations for stressing padding removal: * size = 1 * size = multiple of processing size * size = non-multiple of processing size Partially resolves COMPMID-3865 Change-Id: I15361daf3def960c9e3f7d8aaa6682bebd5d7e5f Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/c/VisualCompute/ComputeLibrary/+/275764 Tested-by: bsgcomp <bsgcomp@arm.com> Reviewed-by: Manuel Bottini <manuel.bottini@arm.com> Comments-Addressed: bsgcomp <bsgcomp@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4365 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-08-13Add test for validating batched-GEMM on CPUGian Marco Iodice
- Add new dataset for batched-GEMM - Add test for running batched-GEMM without bias. Currently bias is not supported in batched-GEMM - Fix reference implementation to slide correctly the RHS tensor Resolves COMPMID-4588 Change-Id: I20fcb5d9160f44292b7cc34570add911b1d732f6 Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6040 Reviewed-by: SiCong Li <sicong.li@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2021-07-13Add in-place calculation support for CL elementwise arithmetic kernelsSheri Zhang
- Add in-place calculation support in ClArithmeticKernel, ClSaturatedArithmeticKernel and ClMulKernel - Add in-place test cases Resolves: COMPMID-4431 Signed-off-by: Sheri Zhang <sheri.zhang@arm.com> Change-Id: Id484bdb76b74478a33fedb471ae0c7f799c599f6 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5885 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2021-07-06Fix manual LOOP_UNROLLINGGian Marco Iodice
The issue is caused by the number of iterations passed to LOOP_UNROLLING. When we use the manual LOOP_UNROLLING, the number of iterations must be less than or equal to 128. To overcome this problem, we create a utility function to check if any of the critical iterations (kernel dimensions) are beyond that limit. If so, the utility function, disable the manual loop unrolling. Resolves COMPMID-4609 Change-Id: I7221c967609e462a5abd1cbb74e2a120f344fcb3 Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5913 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-07-02Rework OpenCL Depthwise ConvolutionGian Marco Iodice
- Remove dedicated kernels for NCHW. Now we only use NHWC with permute - Remove specialized kernels for 3x3 NHWC - Simplify CLDepthwiseConvolutionLayer.cpp to call just the native implementation for both floating-point and quantized data types - Develop two parametric opencl kernels for depthwise convolution layer NHWC (floating-point and quantized) - Add support to export the weights to cl_image - Extend test for depthwise convolution on opencl Resolves COMPMID-4417 Change-Id: Ibe533f79c2860f9cac8e921895d5a8f947753a5c Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5893 Reviewed-by: Giorgio Arena <giorgio.arena@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-07-02Implement FP GPU depthwise convolution 1x1 kernel for in-place computationSiCongLi
* Implement in-place graph node mutator for 1x1 depthwise convolution * Add in-place to validation fixture except for DepthwiseConvolutionLayerNativeValidationFixture as it would be a duplicate test otherwise (DepthwiseConvolutionLayerNative test tests the underlying kernel) Resolves: COMPMID-4432 Change-Id: Id7f10f5ebdce7d49f550c0b62dbaaab7f5b59d29 Signed-off-by: SiCongLi <sicong.li@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5874 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
2021-06-24Rework gemmlowp reshaped_only_rhs using the new macrosGiorgio Arena
Resolve COMPMID-4416 Change-Id: I83cdf0de7adaf4d465ffebd494ab913182072485 Signed-off-by: Giorgio Arena <giorgio.arena@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5788 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-06-18Integrate improved CPU depthwise convolution kernelsMichele Di Giorgio
* Replace assembly kernels for depthwise convolution with more optimized ones. * Add int8 assembly kernels. * Fix implicit padding on optimized kernels Resolves: COMPMID-3867, COMPMID-4361 Change-Id: I0b0867e05f61be4f368f62190d55e14d0ab3ebf2 Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5622 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
2021-05-17Fix MeanStdDevNormalizationLayer reference outputting nan for FP16Giorgio Arena
- Bring the epsilon up to 1e-3 for FP16 (both backends) since it was causing the reference's variance being negative and its square root being NaN - Bring the epsilon up to 1e-7 for FP16 NEON test for the same problem on the NEON kernel - Adjust the CL kernel's vec_size when input tensor's width < 16 and use macros agnostic of vector size for sum reduction - Add previously mismatching tensor shapes Resolve COMPMID-4354 Change-Id: I823c871aacb72326f90c86b24cb16c3e2d4bd15e Signed-off-by: Giorgio Arena <giorgio.arena@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5630 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
2021-05-13Fix Pooling Layer Bug when input is 1xN sizeFreddie Liardet
Return error in pooling layer when any calculated output dimension is less than 1. Simplify use of pooling layer output dimension values in CpuPoolingKernel.cpp. Remove some invalid tests in cpu/gpu pooling layers. Resolves COMPMID-4358. Signed-off-by: Freddie Liardet <frederick.liardet@arm.com> Change-Id: If8f8ffec579d3eca1c27a45e5b0b684a77103cff Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5559 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-05-12Fix GEMMLowp output stage validation crash when input's first dimension == 1Giorgio Arena
- Change vectors' fixed length of 4 in gemmlowp_output_stage_quantize_down_float with its kernel's adjusted vec_size Resolve COMPMID-4355 Signed-off-by: Giorgio Arena <giorgio.arena@arm.com> Change-Id: I371ecf114356fb6a8d18c5c3727f09ae247484bd Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5631 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2021-04-29Remove stale/solved TODOsMichele Di Giorgio
Change-Id: I5c440f4c6ca4186adcfa926e6b7d924086671f29 Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5520 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Manuel Bottini <manuel.bottini@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-04-21Remove unused yolo_layer OpenCL kernelMichele Di Giorgio
Change-Id: Ibab2095a1a5b525c8513f924cd5bcecd5172ed48 Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5467 Reviewed-by: Giorgio Arena <giorgio.arena@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2021-04-14Fix NeDepthwiseConvolution bad_alloc issueSheri Zhang
The memory allocation of the failed tests's tensors are huge, all the virtual memories are used up. And then when assign the output to _reference, a copy constructor is called and allocate more memory and caused the crash. Delete one of the tensor shape and adjust one. Resolve: COMPMID-4366 Signed-off-by: Sheri Zhang <sheri.zhang@arm.com> Change-Id: I91a816384ec358481018a724a7b0cd59730698fc Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5426 Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2021-04-07Review all shapes in datasets to account for padding removal Part 2SiCong Li
* Fix validate compare_dimensions to account for cases where 1D tensor permuted into a 3D tensor * Add the following configurations to stress padding removal: * size = 1 * size = multiple of processing size * size = non-multiple of processing size Partially resolves COMPMID-3865 Change-Id: Iee0de4c9e72b3413c0807e2c86bc2331911a4c6f Signed-off-by: SiCong Li <sicong.li@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4393 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2021-04-06Mixed data-layout testing on high priority operatorsManuel Bottini
Change data layouts after the configure in validation tests for: - Scale - Pooling - FullyConnected - DepthwiseConvolution - DirectConvolution - FFTConvolution - WinogradConvolution - GEMMConvolution (Indirect GEMM included) Extending fixtures Fixes for new mixed data layout tests Resolves: COMPMID-4162 Change-Id: I2f2eb2075f7e24ab3872249d88cadb57b82c5dde Signed-off-by: Manuel Bottini <manuel.bottini@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5326 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
2021-03-31Fix trademarks throughout the codebaseMichele Di Giorgio
Resolves: COMPMID-4299 Change-Id: Ie6a52c1371b9a2a7b5bb4f019ecd5e70a2008567 Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5338 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2021-02-22Comply with Trademark rules for use of Neon, Arm and MaliSheri Zhang
Full trademarks available in README.md Resolves: COMPMID-4257 Signed-off-by: Sheri Zhang <sheri.zhang@arm.com> Change-Id: Ibfba2adf2eef3449433f467464ebd87d7198474d Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5116 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2021-02-03Fix OpenCL direct convolutionGian Marco Iodice
- The ARM DOT macro was using wrong variables for performing the dot product - K0 could be a non power of 2 values when IFM was not a multiple of 16 - Refactor the test for direct convolution NHWC Resolves COMPMID-4135, COMPMID-4155 Change-Id: I3a2dc89ef613ae20245cfc28e76ea36c55eaf81d Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4962 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: TeresaARM <teresa.charlinreyes@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2021-01-20Integrate improved pooling layer on NEONMichele Di Giorgio
Resolves COMPMID-4035 Change-Id: I559f8c4208fba9193dfe5012f03ddaf26c746215 Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4855 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-01-07Review all shapes in datasets to account for padding removal Part 3SiCong Li
* Add the following configurations for stressing padding removal: * size = 1 * size = multiple of processing size * size = non-multiple of processing size Resolves COMPMID-3865 Signed-off-by: SiCong Li <sicong.li@arm.com> Change-Id: I2e0e6d4da129f64ba23cf7b9e0fa1fa1ad93efc3 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4440 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
2020-12-18Add new shapes in WinogradOutputTransform datasetGiorgio Arena
Review the new dataset and edit it accordingly with CLWinogradOutputTransform's contraints Resolves: COMPMID-4043 Signed-off-by: Giorgio Arena <giorgio.arena@arm.com> Change-Id: Idfab1538d0299fa6704831b17522c6696ac84a51 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4695 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
2020-12-18Add new shapes to WinogradInputTransform dataset and fix border size for ↵Giorgio Arena
NCHW data layout Fix border size for CLWinogradInputTransformKernel with NCHW data layout by setting it to the input's paddings. Add new the new validation shapes to the WinogradInputTransform's dataset Resolves COMPMID-4042 Change-Id: Id93ac86e75c94ea3f2f35edcedebafada928f34a Signed-off-by: Giorgio Arena <giorgio.arena@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4694 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Manuel Bottini <manuel.bottini@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
2020-12-10[Review Shape] CLDepthwiseConvolutionLayer mismatchesGiorgio Arena
- Fixed a bug that corrected the number of dimensions of a TensorShape for added trailing 1s - Avoided adding offset_first_element for the Depthwise 3x3 NCHW OpenCL kernels, since it wouldn't align with the window which is based on the output - Adjusted padding requirements along the x for Depthwise 3x3 NCHW. The kernel should always add 2 * dilation_(x/y) to the num_elems_read_x/y - Adjusted the kernel's border_size given to the border handler at function level - Added the dataset that previously made the tests fail Resolves: COMPMID-4041 Change-Id: Ifab7d38b263f12173fcc96a5f0bd3375756c3c53 Signed-off-by: Giorgio Arena <giorgio.arena@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4673 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2020-10-21COMPMID-3712 Remove OpenCL padding: CLDepthwiseConvolutionLayer3x3NHWCKernel ↵Giorgio Arena
FP16/32 Removed unused N from partial block loading macro Created utility to assert change in padding Signed-off-by: Giorgio Arena <giorgio.arena@arm.com> Change-Id: Ifdd30c66dbf5f2842c6b2d939000613d5011708e Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4192 Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2020-10-09COMPMID-3704 Remove OpenCL padding: CLBatchConcatenateLayerKernelGiorgio Arena
COMPMID-3709 Remove OpenCL padding: CLDepthConcatenateLayerKernel Signed-off-by: Giorgio Arena <giorgio.arena@arm.com> Change-Id: Iaea4fafd5d0f081fd5b45b0f6945302dc3365bd9 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4105 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
2020-10-07COMPMID-3703 Remove OpenCL padding: CLActivationLayerKernel + create utility ↵Giorgio Arena
macro Change-Id: I73edadc7299247e7bc51ae37c00d3709023da44a Signed-off-by: Giorgio Arena <giorgio.arena@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4073 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2020-10-02COMPMID-3145: Remove padding from NEScaleKernelManuel Bottini
Change-Id: I530b12c6270d7dbeb3ef7af62484842ebcb65925 Signed-off-by: Manuel Bottini <manuel.bottini@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4000 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com>
2020-09-07COMPMID-3154: Deprecate NE/CL LocallyConnectedLayerGeorgios Pinitas
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com> Change-Id: Ia7516fadcf3df072abf9b83aef4d9939212ce082 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3918 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2020-07-09COMPMID-3324: Adjusting capitalization of Arm copyright claim to reflect Arm ↵Michele Di Giorgio
preferred presentation Change-Id: Ib7dcfcbb24b408999dfae366b9da396485aacf78 Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3525 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Tested-by: Georgios Pinitas <georgios.pinitas@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2020-06-18Revert "COMPMID-3480: Perform in-place computations in ↵Michele Di Giorgio
NEArithmeticAdditionKernel" This reverts commit 4a61653202afb018f4f259d3c144a735d73f0a20. Reason for revert: We will allow in-place computations by providing the same input1 (or input2) as output, thus avoiding changes in the interface. Change-Id: I7c8669e207e15731dc26dc366150bf960508a879 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3035 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2020-06-16COMPMID-3364: improve the test suite for Scale on OpenCLSang-Hoon Park
- change shapes to vector size-based shapes - add ScaleValidationDataset header file to share datasets between NEON and OpenCL - more validate() tests on OpenCL - remove redundant configuration tests - (not scoped of this ticket) add validate() test for sampling policy not supporting aligned corners to NEON test suite Change-Id: I889fd19261162c7454eff5389a67fdc9564dc1f3 Signed-off-by: Sang-Hoon Park <sang-hoon.park@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3334 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2020-06-15COMPMID-3480: Perform in-place computations in NEArithmeticAdditionKernelMichele Di Giorgio
Change-Id: I0089657dd95d7c7b8592984def8e8de1d7e6d085 Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3308 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2020-05-13COMPMID-3128: Test improvement for GEMMConvolutionLayer on CL and ↵Michele Di Giorgio
NEON(Function-level) Cleaning up GEMMConvolutionLayer tests by doing the following: - Remove unnecessary configuration tests - Remove redundant tests > Redundant shapes > For large shapes there are already tests for each internal kernel/function - Test NHWC 1x1 kernel 1x1 stride to stress _skip_im2col - Stimulate gemm3d to skip col2im - Test asymmetric padding - Test batch size equal to one and different than one - Test fully connected convolution - Test with a few different padding values - Test 1D kernel - Test with FLOOR rounding policy Change-Id: I88e7009b8e9c991994ed264476c16a79a0de4a68 Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3150 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Sang-Hoon Park <sang-hoon.park@arm.com>
2020-04-03COMPMID-3101 Fuse activation with floating point elementwise operation ↵Giorgio Arena
layers in CL Signed-off-by: Giorgio Arena <giorgio.arena@arm.com> Change-Id: I1693f8664ba7c0dc8c076bbe7365cef1e667bd25 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/2718 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2020-03-25COMPMID-3098 Fuse Relu and Bounded Relu with FullyConnected NEONSiCongLi
Change-Id: Id28062445590d6c06b35f7d7434eb38393ae94a7 Signed-off-by: SiCongLi <sicong.li@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/2875 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2020-02-12COMPMID-2819: Avoid overflows in pooling shape calculationGeorgios Pinitas
Pooling shape calculator was performing operations in the unsigned domain leading to overflows in irregular shapes. Thus, we perform all operations in the signed domain and we get the maximum between the given shape and 1, returning always a valid tensor. Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com> Change-Id: Ia95d7e54929c8bc29e99dc80a61065e403b29a94 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/2467 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Giorgio Arena <giorgio.arena@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2020-01-28COMPMID-2985 add data_layout to PoolingLayerInfoSang-Hoon Park
- use data layout from PoolingLayerInfo if it's available - deprecate constructors without data_layout - (3RDPARTY_UPDATE) modify examples and test suites to give data layout Change-Id: Ie9ae8cc4837c339ff69a16a816110be704863c2d Signed-off-by: Sang-Hoon Park <sang-hoon.park@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/2603 Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@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>
2020-01-14COMPMID-2991: Add support for QASYMM8_SIGNED in CL kernels/functions - part 2Michele Di Giorgio
Adding support for QASYMM8_SIGNED to the following CL kernels/functions: - CLActivationLayerKernel/CLActivationLayer - CLComparisonKernel/CLComparison - CLConvertFullyConnectedWeightsKernel/CLConvertFullyConnectedWeights - CLDeconvolutionLayerUpsampleKernel/CLDeconvolutionLayerUpsample - CLDepthToSpaceLayerKernel/CLDepthToSpaceLayer - CLDequantizationLayerKernel/CLDequantizationLayer - CLGEMMMatrixVectorMultiplyKernel - CLNormalizePlanarYUVLayerKernel - CLPReluLayer - CLPixelWiseMultiplicationKernel/CLPixelWiseMultiplication - CLPoolingLayerKernel/CLPoolingLayer Change-Id: I874bbb7c2b08baa9c5ff4c9e6bc8778b42a6bec5 Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-on: https://review.mlplatform.org/c/2539 Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2020-01-14COMPMID-2790: Add support for QASYMM8_SIGNED in CLGEMMLowpMatrixMultiplyCoreManuel Bottini
Change-Id: Ifdaeb53c512ba697f174649c026075010f54f628 Signed-off-by: Manuel Bottini <manuel.bottini@arm.com> Reviewed-on: https://review.mlplatform.org/c/2472 Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Sang-Hoon Park <sang-hoon.park@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Giuseppe Rossini <giuseppe.rossini@arm.com>
2020-01-13COMPMID-2728: Add support for split sizes in CLSplitKurtis Charnock
Signed-off-by: Kurtis Charnock <kurtis.charnock@arm.com> Change-Id: I69ea9e812478904c3e10379bb5943d534c45f942 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/c/VisualCompute/ComputeLibrary/+/214132 Tested-by: bsgcomp <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Reviewed-on: https://review.mlplatform.org/c/2432 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
2020-01-02COMPMID-2819 Fix depthwise reference when using ceilGiorgio Arena
Change-Id: I4117320fd6ba11365db9a164e4e44509a9a7ba09 Signed-off-by: Giorgio Arena <giorgio.arena@arm.com> Reviewed-on: https://review.mlplatform.org/c/2498 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
2019-12-10COMPMID-2819 Disable GEMM MatrixMultiply nightly testsMichalis Spyrou
Disable all the nightly MatrixMultiply tests and remove some large shapes. Change-Id: Ic7d178ecb4e92fdb0c19ef48727f7ffb2972625a Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com> Reviewed-on: https://review.mlplatform.org/c/2439 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2019-12-04COMPMID-2826 Comply with DCL51-CPPMichalis Spyrou
Rename all header guards to be compliant with DCL51-CPP Change-Id: I47b09375bb1b8d39d80c275ce69a3f25fb385d75 Signed-off-by: Michalis Spyrou <micspy01@e123758.cambridge.arm.com> Reviewed-on: https://review.mlplatform.org/c/2393 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
generated by cgit v1.2.1 (git 2.23.0) at 2024-06-26 19:33:54 +0000