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2021-07-25Reorganize the kernels into nhwc, nchw and common foldersAdnan AlSinan
The Following kernels have been split into nchw/nhwc kernels files: - batchnormalization_layer - batch_to_space - channel_shuffle - depth_to_space - dequantization_layer - im2col - normalization_layer - normalize_planar_yuv_layer - normalize_planar_yuv_layer_quantized - pooling_layer - pooling_layer_quantized - remap - reorg_layer - scale - scale_quantized - space_to_batch - space_to_depth - upsample_layer - winograd_filter_transform - winograd_input_transform - winograd_output_transform The following kernels have been moved to nchw folder: - direct_convolution1x1 - direct_convolution3x3 - direct_convolution5x5 - direct_convolution_quantized - prior_box_layer The following kernels have been moved to nhwc folder: - direct_convolution - dwc_native_fp_nhwc - dwc_native_quantized_nhwc The following kernels have been removed: - sobel_filter While the rest kerenls have been moved to the common folder. Partially resolves COMPMID-4453 Signed-off-by: Adnan AlSinan <adnan.alsinan@arm.com> Change-Id: Ic327ac935687ec351c610c65a3c6357f364a5a58 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5919 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2020-11-12COMPMID-3735 Remove OpenCL padding: CLSoftmaxLayerKernelGiorgio Arena
- Renamed SELECT_DATA_TYPE to SELECT_VEC_DATA_TYPE to reflect its usage with vectors. SELECT_DATA_TYPE(dt) will now return the primitive data type - Changed the interface of VEC_OFFS and V_OFFS in order to receive the primitive data type as a parameter rather than its vector form - Performed a general cleanup of the kernels, such as creating macro for sum and max reduces, remove reduntant macros, defines, variables, calculations, etc... - Using VEC_SIZE and VEC_SIZE_LEFTOVER in every kernel in order to allow computation for smaller shapes without adding paddings - Removed the actual padding from the kernel and adjusting its calculations accordingly. Added asserts for padding removal checks. Removed invalid Validate tests. Change-Id: If5ccbd5d34e255d38c7f6bfe8740e2b80b28e264 Signed-off-by: Giorgio Arena <giorgio.arena@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4277 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2020-10-19COMPMID-3732: Remove OpenCL padding from CLPoolingLayerGian Marco Iodice
- Refactor pooling layer kernels on OpenCL (F32/F16/QASYMM8) to avoid padding and improve performance - Add test for checking zero padding requirement - Fix issue with extracting the index. The issue was caused by the padding passed at compile time - auto_init indices tensor in CLPoolingLayerKernel Change-Id: I1ae5a2ef8c4ce787c80dcd73e35c17bb34623cb5 Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4188 Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-by: Giorgio Arena <giorgio.arena@arm.com> Tested-by: Arm Jenkins <bsgcomp@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>
2020-01-14COMPMID-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>
2019-04-05COMPMID-2107 CLPoolingLayer build failureMichalis Spyrou
Change-Id: I600a05bc9b80b33a569d3582a1a32655de1fb173 Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com> Reviewed-on: https://review.mlplatform.org/c/953 Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2019-04-04COMPMID-2060: Support different qinfo in PoolingLayerPablo Tello
CL and Neon back ends now support different qinfos Change-Id: I638d5f258ab2f99b40659601b4c5398d2c34c43b Signed-off-by: Pablo Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/927 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
2018-11-02COMPMID-1712 CLPoolingLayer wrong results in QASYMM8Michalis Spyrou
Also added the test case reported by ArmNN. Change-Id: I9fe9a1b4f74267a3346529f3a597b37486593c4a Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/155914 Tested-by: bsgcomp <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
2018-11-02COMPMID-1704: Collapse the 4th dimension in CLPoolingLayerKernelGeorgios Pinitas
Change-Id: I76e57af6608b55b6f59a5d06aecc30063ee4c3cc Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/155733 Tested-by: bsgcomp <bsgcomp@arm.com> Reviewed-by: Michele DiGiorgio <michele.digiorgio@arm.com> Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
2018-11-02COMPMID-805 Add NHWC data format support for CL poolingMichalis Spyrou
Change-Id: I3d91fde78b971aba3f6349f633cd9b1c50e5cacf Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/124712 Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Tested-by: Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
2018-11-02COMPMID-828 - Add support for pool widths 4, 5 & 6 and for non square data ↵Isabella Gottardi
sizes - Part 2 (CL) Change-Id: I004906b9b1f11158fe17b4aa2640a7f4685fb929 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/118462 Tested-by: Jenkins <bsgcomp@arm.com> Reviewed-by: Michele DiGiorgio <michele.digiorgio@arm.com> Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
2018-11-02COMPMID-661: Fix rounding in average pooling for uint8.Georgios Pinitas
Rounds output result of average pooling uint8 to match AndroidNN reference. Change-Id: If739086bbc5d2f0776cadae5b2312744bd7ce588 Reviewed-on: http://mpd-gerrit.cambridge.arm.com/95349 Reviewed-by: Robert Hughes <robert.hughes@arm.com> Reviewed-by: Anthony Barbier <anthony.barbier@arm.com> Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
2018-11-02COMPMID-661: Add avgpool-uint8 support. Optimize avgpool-fp32 for Bifrost. (#13)Anton Lokhmotov
Change-Id: I32ba6afbac6694ffa053dd16f03a1b3d14627a19 Reviewed-on: http://mpd-gerrit.cambridge.arm.com/94857 Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com> Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
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