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path: root/src/gpu/cl/operators/ClFullyConnected.cpp
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2023-09-28Apply clang-format on repositoryFelix Thomasmathibalan
Code is formatted as per a revised clang format configuration file(not part of this delivery). Version 14.0.6 is used. Exclusion List: - files with .cl extension - files that are not strictly C/C++ (e.g. Android.bp, Sconscript ...) And the following directories - compute_kernel_writer/validation/ - tests/ - include/ - src/core/NEON/kernels/convolution/ - src/core/NEON/kernels/arm_gemm/ - src/core/NEON/kernels/arm_conv/ - data/ There will be a follow up for formatting of .cl files and the files under tests/ and compute_kernel_writer/validation/. Signed-off-by: Felix Thomasmathibalan <felixjohnny.thomasmathibalan@arm.com> Change-Id: Ib7eb1fcf4e7537b9feaefcfc15098a804a3fde0a Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10391 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>
2023-08-08Avoid using CLMatMul in CLFullyConnected when GPUTarget is Midgardramy.elgammal@arm.com
Resolves: COMPMID-6428 Change-Id: I255a46e894bafe1d3a26f0aebb828911bbfd750b Signed-off-by: ramy.elgammal@arm.com <ramy.elgammal@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10070 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>
2023-07-20Fix failing CTS tests by disabling matmul when weights conversion is required.Mohammed Suhail Munshi
Signed-off-by: Mohammed Suhail Munshi <MohammedSuhail.Munshi@arm.com> Change-Id: Ibba6564f111f493e4d7bac692eb2637830d4aff9 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9943 Benchmark: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Comments-Addressed: 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>
2023-07-07Fix unsupported configuration in CLFullyConnected validationGunes Bayir
When the weights to CLFullyConnected layer are not constant and the weights need reshaping, we prefer MatMul kernels instead of Gemm-based ones. The bias addition is currently unsupported in MatMull, but the validate() function does not account for this properly. This patch fixes the validation of this function. Resolves: COMPMID-6338 Change-Id: I5c240191ae8e369753691c43ab4a30d4ae1776b0 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9882 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>
2023-06-26Use 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>
2023-04-04Support 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>
2021-09-29Add support for non-constant weights and biases in CpuFullyConnectedGiorgio Arena
Changing the approach for specifying that weights and biases tensors are non-constant by making it a member of TensorInfo rather than an option of the functions. Resolves: COMPMID-4222, COMPMID-4811 Signed-off-by: Giorgio Arena <giorgio.arena@arm.com> Change-Id: I9b0081ccbcf8271ce029ba6755563d64c59e1d32 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6313 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-09-28Provide logging for configure functions in all gpu operatorsramelg01
Partially Resolves: COMPMID-4718 Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com> Change-Id: I3d80e732fc957114ec84ef8350dbf12eeae23054 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6301 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Freddie Liardet <frederick.liardet@arm.com> Reviewed-by: Jakub Jan Sujak <jakub.sujak@arm.com> Reviewed-by: Giorgio Arena <giorgio.arena@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-09-16Revert "Add support for non-constant weights and biases in CpuFullyConnected"Pablo Marquez Tello
This reverts commit aed63ee175e0d64c934389e9d1b2edd0cb1a5cdd. * Resolves COMPMID-4812 Change-Id: I16919e2f3b22c868ae146d0d10dae97a80e1ba46 Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6266 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Sheri Zhang <sheri.zhang@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-09-07Add support for non-constant weights and biases in CpuFullyConnectedMichele Di Giorgio
Changing the approach for specifying that weights and biases tensors are non-constant by making it a member of TensorInfo rather than an option of the functions. Resolves: COMPMID-4222 Change-Id: I96e6f3868f51785c9700a3ef6a1fe7b05747862c Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6162 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
2021-08-25Move CPU/GPU files from Core/Runtime to the respective backend foldersGeorgios Pinitas
Legacy structure contained two libraries core/runtime with two backends in each. We reduce the core/runtime libraries to a single library thus merging the backend files Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com> Change-Id: I69545765fe7a730368105cdbd067d3135ec7a174 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6155 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
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