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path: root/src/core/CL/cl_kernels/tile_helpers.h
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2021-12-23Rework gemm_reshape_lhs_ with new macrosAdnan AlSinan
Resolves COMPMID-4892 Signed-off-by: Adnan AlSinan <adnan.alsinan@arm.com> Change-Id: I52f23ca293506fc693ae829daccc6e889a050752 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6833 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Reviewed-by: Giorgio Arena <giorgio.arena@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2021-11-26Rework gemm_reshape_rhs_(nt,t) with new macrosGian Marco Iodice
Resolves COMPMID-4891 Change-Id: Ifdf2a0eaed23347a1b4465ea8d58c11b72083952 Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6741 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
2021-11-09Improve start-up time for ClScaleAdnan AlSinan
- Add macro guard for different kernels in scale.cl - Rework TENSOR4D to the new format - Pass scale_x and scale_y at runtime Resolves COMPMID-4886 Signed-off-by: Adnan AlSinan <adnan.alsinan@arm.com> Change-Id: Ib904a703d511fb8260618057ac92e5ea9efeee2b Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6619 Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-10-14Implement CLDirectConv3D f32/f16Giorgio Arena
Resolve COMPMID-4660 Signed-off-by: Giorgio Arena <giorgio.arena@arm.com> Change-Id: Ibd66ec1eb6faa60086981b1e3a9c12561df3445f Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6420 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
2021-07-22Fix oclgrind int overflow warningFreddie Liardet
Fix warning found by oclgrind. Also remove duplicated code. Resolves COMPMID-4675 Signed-off-by: Freddie Liardet <frederick.liardet@arm.com> Change-Id: I6ad56cc0130b5df936f1e070db116695269317df Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5974 Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2021-07-14Fix CL kernel compilation failureMichalis Spyrou
A typo was causing errors when building some CL kernels. Resolves: COMPMID-4637 Change-Id: I7d1821e1a046ef8ccd306f72afe192732dd2ad1e Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5944 Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: 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>
2021-07-01Add quantization helper functions for OpenCLGeorgios Pinitas
Add `T_QUANTIZE8_PER_TENSOR` and `T_QUANTIZE8_PER_CHANNEL` that can be used to perform quantization on tile constructs. Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com> Change-Id: Ie8e1efcb895c64715620acf2212b1de9a857ee0a Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5891 Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2021-06-30Revert "Rework OpenCL Depthwise Convolution"Gian Marco Iodice
This reverts commit 561c176598cd14245e2e7918fdf136d1c888d1da. Reason for revert: <validation> Change-Id: I6f2d61c27520439bb538e9265736532104b24cf8 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5127 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-06-24Rework 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: I253dd5d959a70783c82e62b1771a5e9f91621cb0 Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5806 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
2021-05-20Enable unroll through pragma based on DDK versionGiorgio Arena
Change-Id: Id98a107d512369d3799961011a84e9cc4d99e775 Signed-off-by: Giorgio Arena <giorgio.arena@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5679 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2021-05-17Add macro to manually unroll loops in OpenCLGiorgio Arena
Change-Id: I092d10534816f5b3717325952033c351b8231380 Signed-off-by: Giorgio Arena <giorgio.arena@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5643 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-05-07Fix missing DATA_TYPE in DOT_PRODUCT4_INTEGER8 OpenCL macroGian Marco Iodice
- DOT_PRODUCT8_INTEGER8 and DOT_PRODUCT16_INTEGER8 are calling DOT_PRODUCT4_INTEGER8 without passing DST_DATA_TYPE Resolves COMPMID-4491 Change-Id: I394bd2f9208489e820885e49ed40e607d6470620 Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5594 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2021-04-20Remove OpenCL padding: CLPixelWiseMultiplicationKernelGiorgio Arena
- Change kernel's vec_size to 16 / sizeof(output) - Change ICLKernel.cpp to handle broadcast without padding Resolve COMPMID-3913 Signed-off-by: Giorgio Arena <giorgio.arena@arm.com> Change-Id: I03e884b250ef5784dc109bff8cf2c96b345d119f Signed-off-by: Giorgio Arena <giorgio.arena@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5450 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: Gian Marco Iodice <gianmarco.iodice@arm.com>
2021-04-12Add support for cl_image in CLDirectConvolutionLayerGian Marco Iodice
- The cl_image object can be used for the weights - cl_image can only work for f32/f16 - Fix the implicit padding on the first dimension X Resolves COMPMID-4341 Change-Id: I04e0901c69e7765c42afceca38c4a840645b9123 Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5393 Reviewed-by: Giorgio Arena <giorgio.arena@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2021-04-08Rework the OpenCL Winograd Input Transformations NHWCGian Marco Iodice
- Rework Winograd Input Transform 3x3 NHWC using the new macros - Rework Winograd Input Transform 5x5 NHWC using the new macros - Rework Winograd Input Transform 7x7 NHWC using the new macros - The new implementation is also faster than before - Winograd Input Transform 5x5/7x7 3x faster Resolves COMPMID-4139 Change-Id: Ia9c8af23a2d47d2db60ec4c44650a63a34ffa0d5 Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5358 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
2021-03-25Improve performance of Winograd Output Transform 3x3Gian Marco Iodice
This patch reworks the winograd output transform 3x3 NHWC on OpenCL - Use utility macros in tile_helpers.h to rewrite the kernel - Implement the tile utility macro for the activation Resolves COMPMID-4144 Change-Id: I86a9bb9ea96b9629a18642b56bb63750710e6af5 Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5324 Reviewed-by: Giorgio Arena <giorgio.arena@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2021-03-23Extend direct convolution (F32/F16/QASYMM8)Gian Marco Iodice
The new function can handle different block sizes (M0, N0) New utility macros have been developed to simplify the work and the future OpenCL kernel development. In particular the work has been done to also consider cases with: - the texture pipe support - dynamic tensor shape support Change-Id: Ife4c64baf07517938bb8ad18e6a5f4579345c40f Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5297 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Giorgio Arena <giorgio.arena@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
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