aboutsummaryrefslogtreecommitdiff
path: root/src/core/NEON
AgeCommit message (Collapse)Author
3 hoursNew SME2 heuristics.HEADmainDavid Mansell
Change-Id: I69aa973e61df950060807a31230a1edd91add498 Signed-off-by: David Mansell <David.Mansell@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/11514 Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2 daysDisable SME2 Gemmlowp s8f32 kernel selection in case results needs to be ↵Gunes Bayir
accumulated Similar to https://review.mlplatform.org/c/ml/ComputeLibrary/+/11500, s8f32 kernels do not support accumulate mode. This patch modifies the kernel selection and also adds more tests to stress these test cases better. Partially Resolves: COMPMID-6995 Change-Id: I40e19446c012eb7334e4511e254cce0d635aa234 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/11503 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Radu Salavat <radu.salavat@arm.com> Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
5 daysDisable SME2 Gemm kernel selection in case results needs to be accumulatedGunes Bayir
SME2 kernels use a different accumulation buffer and destination tensor is not copied to this buffer as initial value, thus causing mismatches. This patch modifies the kernel selection algorithm such that it does not select SME2 kernels if accumulation is required. Resolves: COMPMID-6995 Change-Id: I82da3cba41729f938a046f26b41b63ff5716c02d Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/11500 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>
2024-04-16fix compilation errors on linux with gcc12Sunita Nadampalli
Signed-off-by: Sunita Nadampalli <nadampal@amazon.com> Change-Id: I21eca31d97d6e2ca8279adb9db65f11540e72689 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/11396 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com>
2024-04-15Add s8f32 kernels and dynamic QuantizationInfoJonathan Deakin
- Add support for QASYMM_SIGNED*QASYMM8_SIGNED->F32 in CpuGemmLowpMatrixMultiplyCore - Add s8f32 kernel using existing s8->s32 kernels with a new DequantizeFloat OutputStage, the structure is similar to Requantize32 but the opposite way around. - Add SME s8f32 kernels with integrated support for DequantizeFloat. - Add scale to CpuGemmLowpOffsetContributionKernel. - Add virtual dequantize scale to gemm_common, only implemented for gemm_interleaved. - Update year to 2024 in generate_build_files. - Add dynamic flag to QuantizationInfo which signals to operators that it can change after configuration - Add support for dynamic quantization in NEGEMMLowpMatrixMultiplyCore - Add dynamic quantization fixture by extending GEMMLowpGenericMatrixMultiplyCoreValidationFixture - Add GEMMLowpDequantizedMatrixMultiplyValidationFixture - Store k (number of cols of A) rather than k_offset in the offset contribution kernels so that we can recompute it when the other offsets change relates to: ONCPUML-1444 MLINFSW-439 Co-authored-by: Milos Puzovic <Milos.Puzovic@arm.com> Co-authored-by: David Mansell <David.Mansell@arm.com> Change-Id: I58a3acf2c09289a303e52eea6b336a696a5bc8da Signed-off-by: Jonathan Deakin <jonathan.deakin@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/11022 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>
2024-04-11Add in place summation to CPU GEMM kernelsRadu Salavat
Instead of dispatching the sum postop for GEMM kernels to a separate kernel + add, that requires an extra destination sized allocation, plus 3 extra load/stores per element, just do it in the GEMM kernel. Resolves: ONCPUML-1442 Signed-off-by: Radu Salavat <radu.salavat@arm.com> Co-authored-by: Milos Puzovic <milos.puzovic@arm.com> Change-Id: I7a1f2da3300875fa1ac88b705a34390969518077 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/11298 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>
2024-03-27Added new NEON fixed format fast math mode hybrid kernel with maximum height ↵Milos Puzovic
of 6 for accumulation and updated heuristics Change-Id: Ib52ea6825e164f4a8b8422eab7991b50af0b0d7c Signed-off-by: Milos Puzovic <milos.puzovic@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/11354 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2024-03-21[ONCPUML-1451] Add matmul kernel to enable bf16 to bf16 operations via ↵Renato Arantes
PyTorch® autocast() function The full range of tests must be added with [MLINFSW-482] epic due to the lack of reordering kernels implemented in Acl. Co-Authored-By: David Mansell <David.Mansell@arm.com> Change-Id: I820d316295a1ec94fdc89c37e4144a268f914c36 Signed-off-by: Renato Arantes <renato.arantes@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/11169 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>
2024-03-18Fix quant. gemv kernel driver by adding set_quantized_bias()Gunes Bayir
arm_gemm fuses the actual bias addition with the output stage in quantized gemm. The output stage, in its very basic form, is: A_offset * B_offset - sum(A_row_i) * B_offset - sum(B_col_j) * A_offset Matrix B is usually constant (e.g. weight matrix in convolutions). Therefore, except the middle term above, the expression is constant across the same output row because the column sums of matrix B are pre-calculated. The bias is also usually constant. When it is, it makes sense to add the bias vector to the above sum and just perform a single addition on top of the output tensor. For this to happen, the column sum computation of B tensor must account for the bias. This is ensured by set_quantized_bias() method in the interface. This function passes the bias pointer and strides to arm_gemm. Gemv_pretransposed does not implement set_quantized_bias() and uses the parent function, which does nothing. Therefore, the bias is not added to the output. This causes tests to fail. Resolves: COMPMID-6928 Change-Id: Iba24fabc65fdc47edb12db6abff2fb47784c0743 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/11310 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Jakub Sujak <jakub.sujak@arm.com>
2024-03-14arm_gemm: Fix bias handling for sme2 FP16 GEMV.David Mansell
Resolves: COMPMID-6927 Signed-off-by: David Mansell <David.Mansell@arm.com> Change-Id: Ib426fdc11ddbdbd0028d64547f3eaf312ca5fcce Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/11301 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>
2024-03-12Fix WoA nightly failurePablo Marquez Tello
* Resolves COMPMID-6931 Change-Id: I3ed0c509807e26bddfcd20be71b12ec4cbb5cce6 Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/11277 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>
2024-02-22Fix segfault in DWC in WoAPablo Marquez Tello
* Resolves MLCE-1219 Change-Id: If997180ec88c35d6af05a06c8c5ef95681e67c05 Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/11182 Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2024-02-22Fix OpenBSD® build failure caused by patch 11144Gunes Bayir
include of alloca.h should be guarded against _WIN64 and __OpenBSD__ Partially Resolves: COMPMID-6595 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Change-Id: I6a52ec129d92e290d033f75baeb4a598669daae0 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/11180 Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2024-02-21Integrate new pretranspose_b_array with extra fused transpose of BGunes Bayir
This patch fuses the transposition taking place in Acl with the transformations done in arm_gemm (called pretranspose_b_array) if the underlying kernel and transform supports it. This should improve start-up time (as it's for constant Rhs matrices) and memory footprint. The transformations in arm_gemm are kernel specific. The Rhs matrix is transformed into certain layouts to improve the performance. Resolves: COMPMID-6595 Change-Id: Id2932dd966e59f903c279417bebcea83d9a42464 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/11144 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>
2024-02-14Fix compiler errors in cl-clangPablo Marquez Tello
* cl-clang is used to build ACL natively in WoA * Resolves MLCE-1209 Change-Id: I040e84f526f16324138a074badf764ac099090e3 Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/11126 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>
2024-02-07Parallelize CPU depthwise over batch if only 1 rowJonathan Deakin
This patch also fixes a bug where the split dimension was wrong in CpuDepthwiseConv2dAssemblyDispatch::run. It was set to DimY, which is cols, but it should have been DimZ. This was rarely an issue in practice because typically the number of cols are greater than the number of threads anyway. Relates to: ONCPUML-1443 Co-authored-by: Milos Puzovic <Milos.Puzovic@arm.com> Change-Id: Ifed2fce22ddeb7cd77e6a6ae1083694427f91e04 Signed-off-by: Jonathan Deakin <jonathan.deakin@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/11083 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2024-02-06arm_gemm: SME: Remove artificial single-thread constraint on quantized int8 ↵David Mansell
kernels. Change-Id: I81b71ecc0d2e776d132091e074798a79b3141bec Signed-off-by: David Mansell <David.Mansell@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/11085 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>
2024-01-25arm_gemm: convolution: optimize convolver.hpp.David Mansell
The code in convolver.hpp generates pointers into either the appropriate point in the input activation tensor or the padding buffer for each kernel point of each output point of the convolution. This is done at runtime interspersed with the data transform and matrix multiplication steps. As such, it can have a significant impact on performance, particularly for low input channel counts. This change improves the performance of this code by streamlining the checks for out of range input points (which must be directed to the padding buffer). The previous implementation checked all four borders for every point. The revised code does the checks one at a time, and for any failing check applies the result to as many output points as possible without repeating the other checks. Signed-off-by: David Mansell <David.Mansell@arm.com> Change-Id: I36a4fa114b425c1bcba2be40acf36718522519f5 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/11004 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>
2024-01-12[ONCPUML-1387] Add ACL based reorder for f32 to bf16 data type conversion.Renato Arantes
The reorders supported at the moment are: ab->BA4b4a ab->BA8b4a Co-Authored-By: David Mansell <David.Mansell@arm.com> Change-Id: Ic466465629ce3bcdcee0089e251485b79b60e1f3 Signed-off-by: Renato Arantes <renato.arantes@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10775 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>
2023-12-07Optimize CPU depth-to-spaceViet-Hoa Do
Resolves: COMPMID-6622 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: Ibac276618bdda125dcbb9c851c547f12739b15b4 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10749 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>
2023-12-05Optimize CpuSoftmaxKernel for axis=0Gunes Bayir
Implement a single kernel instead of having two consecutive ones. In the previous setup, one kernel was calculating the maximum value in the axis, and this maximum was being subtracted from each data while calculating the softmax, i.e. softmax(x_i) = exp(x_i - max) / sum_i( exp(x_i - max) ) This patch integrates these two stages into a single kernel for Neon™ for all data types. This will save some memory because we don't need to hold the max values in a separate auxiliary tensor. It also introduces some other optimizations that will ease memory pressure when the data type is float/half, by using the dst tensor as temporary storage for already exponentiated inputs. It removes the references to SVE and SVE2 implementations, and most of the associated files; but, it leaves the implementations as these may be used in the future. Resolves: COMPMID-6500 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Change-Id: Icff9976d1214c4c6cbe15a62ca60b8a77d3784cc Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10688 Reviewed-by: SiCong Li <sicong.li@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-11-27BatchNorm changes to enable fp16 in armv8a multi_isa buildsPablo Marquez Tello
* Moved NCHW kernels fp16 and fp32 to their corresponding files src/cpu/kernels/fuse_batch_normalization/nchw/neon/fp16.cpp and src/cpu/kernels/fuse_batch_normalization/nchw/neon/fp32.cpp * Changes in filelist.json to include the new fp16 and fp32 files * Moved the template batch_normalization_nchw to impl.h as we need to instantiate it from fp16.cpp and fp32.cpp * Pooling layer: removed the guard __ARM_FEATURE_FP16_VECTOR_ARITHMETIC that prevented the FP16 kernel execution. * Partially resolves MLCE-1102 Change-Id: Ia8c85e9ffb76c9e387f9ae2685e5df5e52c8dc27 Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10777 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>
2023-11-16NormalizationLayer changes to enable fp16 in armv8a multi_isa buildsPablo Marquez Tello
* Moved the template arm_compute::normalize_float to impl.h because we need to instantiate it from both NENormalizationLayerKernel.cpp and src/cpu/kernels/norm_layer/generic/neon/fp16.cpp * Changes in filelist.json: added a new fp16.cpp file for the float16_t kernels * Replaced the guard __ARM_FEATURE_FP16_VECTOR_ARITHMETIC in NENormalizationLayerKernel by ARM_COMPUTE_ENABLE_FP16 so that the fp16 kernels can be compiled in for multi_isa builds * Moved fp32 kernels to the corresponding file src/cpu/kernels/norm_layer/generic/neon/fp32.cpp * Partially resolves MLCE-1102 Change-Id: I3f2eb2ed0b6c7f68092b17872b85082fbb5f39e2 Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10739 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>
2023-11-09Remove duplicate definitions of BF16 fixed format kernels.David Mansell
Change-Id: Ie68b0a19040cc6b5bf47fca406989f39aa8d7b81 Signed-off-by: David Mansell <David.Mansell@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10687 Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2023-11-01Fix compilation error with clang and multi-isaViet-Hoa Do
* Fix SVE header being included in non-SVE file. Resolves: COMPMID-6613 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: Ic7f662a239b761b83e67e11b6cc03f7d5f5cd051 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10573 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>
2023-10-31Fix SVE kernel using SVE2 instructionViet-Hoa Do
Resolves: COMPMID-6493 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: I038d91ba266e1e8bf124336bcd272ec77e92038c Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10490 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Anitha Raj <Anitha.Raj@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2023-10-17arm_gemm: Add SME2 FP16 GEMV using FP16->FP32 dot product.David Mansell
Signed-off-by: David Mansell <David.Mansell@arm.com> Change-Id: If02f7809f9b6e84979121698c5e7a62cbb41e2c3 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10487 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>
2023-10-17Revert "arm_gemm: Add SME2 FP16 GEMV."David Mansell
This reverts commit aeced744b854758768243833bcdf999c0c3c1a5b. Reason for revert: Incorrect SME architecture checks. Change-Id: I23fe78178041a544a8791a4655bf6fe4aa375e38 Signed-off-by: David Mansell <David.Mansell@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10501 Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2023-10-12arm_gemm: Add SME2 FP16 GEMV.David Mansell
Change-Id: I1f73819c25c66e4d13198e9c79755808d92b343d Signed-off-by: David Mansell <David.Mansell@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10466 Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2023-10-10arm_gemm: fix 2D threading mode for SME2David Mansell
"2D" threading mode was not setting the result pointer correctly for SME2 kernels with K blocking - for non-final blocks the result pointer should be NULL so that the intermediate results get written in the accumulator buffer by the kernel. Signed-off-by: David Mansell <David.Mansell@arm.com> Change-Id: Idefa538e190a086e1e44a91998ab7e949e3989e4 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10342 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>
2023-10-10Fix NEReorderKernel validationDavid Svantesson
Partially resolves: ONCPUML-1251 Reorders of block size 8 are only available when SVE is enabled. This fixes an issue with these reorders being checked even when SVE is not enabled. Signed-off-by: David Svantesson <david.svantesson@arm.com> Change-Id: I287763a547d2ab303c3f8ce10164178b680e551e Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10464 Benchmark: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2023-10-10Optimize NEStackLayerGunes Bayir
Optimize the stack operation in Cpu by leveraging block memcpy. Resolves: COMPMID-6498 Change-Id: I49d79d179f0375a73d654edd59fb33072112569b Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10451 Reviewed-by: SiCong Li <sicong.li@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-10-03Fix nightly NEON Reverse reference failureAdnan AlSinan
- Fix the reference axis vector to be the right size. - Update typos in the error messages. Resolves COMPMID-6574 Signed-off-by: Adnan AlSinan <adnan.alsinan@arm.com> Change-Id: I9572365b8173b92d0fffd557e4db261b2969109c Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10423 Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com>
2023-09-28Revise clang-format configurationJakub Sujak
Clang-format options now match those in clang-format version 14. Remove Astyle checks as the same code style checks are provided by clang-format. Resolves: COMPMID-6576 Change-Id: Iefa9bb719826242a3276e9ca058d0c84624f7302 Signed-off-by: Felix Thomasmathibalan <felixjohnny.thomasmathibalan@arm.com> Signed-off-by: Jakub Sujak <jakub.sujak@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10399 Benchmark: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2023-09-28Reimplement erf functionViet-Hoa Do
* The current implementation has signfinicant inaccuracy and the issue cascades to GELU. * Use the implementation from Arm® Optimized Routines. The maximum error is 1.93 ULP. Resolves: COMPMID-6554 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: If80131e164b7a078e34dd8e05b1506698f31d17a Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10395 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: TeresaARM <teresa.charlinreyes@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
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>
2023-09-27Implement tflite compliant reverse for CPUAdnan AlSinan
- Add support for negative axis values. - Add option to use opposite ACL convention for dimension addressing. - Add validation tests for the mentioned additions. Resolves COMPMID-6497 Change-Id: I9174b201c3adc070766cc6cffcbe4ec1fe5ec1c3 Signed-off-by: Adnan AlSinan <adnan.alsinan@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10335 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-09-15Fix include dependencies for mass reformatting patchGunes Bayir
This patch fixes some include dependencies in certain files that caused build failures in https://review.mlplatform.org/c/ml/ComputeLibrary/+/10287. It also circumvents some clang-format glitches. Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Change-Id: I8e9d3307edd2d1afd17c685c9bc9429624130e5a Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10313 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: <felixjohnny.thomasmathibalan@arm.com> Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2023-08-29GEMM: AArch32: Split assembler block in a32_merge_float_8x6.hppDavid Mansell
Inline assembler blocks attempting to bind 8 integer registers don't compile in certain configurations (notably GCC 13.2 debug builds with -O0 -g). Fix this by splitting the offending block into two separate parts (straightforward as there is no flow control in the block). Fixes: COMPMID-6532 Signed-off-by: David Mansell <David.Mansell@arm.com> Change-Id: I80e9a10e6a91574176d50e63c45fab055aefa659 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10197 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Emanuele Rocca <ema@linux.it> Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2023-08-23Update CpuGemmConv2d and CpuFlatten to use CpuReshape operatorAnitha Raj
- Following CpuReshapeKernel Optimizations, update the CpuGemmConv2D and CpuFlatten to use CpuReshape operator instead of CpuReshapeKernel - Minor changes to comment in NEReorgLayerKernel.h Resolves COMPMID-6504 Signed-off-by: Anitha Raj <anitha.raj@arm.com> Change-Id: Ib6ee1fdc313d91249f9fe41c81e73324031c1ff4 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10186 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>
2023-08-22CPU: Depthwise: Generate correct size for input indirection array.David Mansell
Signed-off-by: David Mansell <David.Mansell@arm.com> Change-Id: I359ed0703f4036e017b34b622f76b630cefac973 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10183 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-08-17Fix various static check issuesViet-Hoa Do
Resolves: COMPMID-6495 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: I916829222a6211fa096a833a2afc5fab5eb34ea4 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10143 Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: 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>
2023-07-18Break 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>
2023-07-13Enable premultiplication for depthwise convolutionMichael Tyler
with fp16 and quantized types Resolves: COMPMID-6337 Change-Id: I81542e51c9c0329f202ac8452f173b138e51a0f6 Signed-off-by: Michael Tyler <michael.tyler@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9883 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>
2023-07-05Fix unused function warningMichael Tyler
Resolves: COMPMID-6337 Signed-off-by: Michael Tyler <michael.tyler@arm.com> Change-Id: Id8e9b39e55ab3e13beda720e24ba9ea7e6f97762 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9868 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>
2023-07-04Depthwise channel pre-multiplicationMichael Tyler
Resolves: COMPMID-6337 Change-Id: Ie9097b3f56e8071426c621386a5988bd7f7e8ef2 Signed-off-by: Michael Tyler <michael.tyler@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9852 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-06-23Fix doxygen warningsramy.elgammal@arm.com
Resolves: COMPMID-6312 Signed-off-by: ramy.elgammal@arm.com <ramy.elgammal@arm.com> Change-Id: I9f68ccd2edb8c4d03fec19e6b9c29609d4833342 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9806 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>
2023-06-21Enable vmfa in arm7va/aarch32 when presentPablo Marquez Tello
* vfma is an extension on armv7a and it can be enabled with -mfpu=neon-vfpv4 * Resolves MLCE-1079 Change-Id: Id455c39ee4feb8d3cdc4515c8307eb8a5d6e093b Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9795 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2023-06-15Break up Utils.h a bit to reduce unused code being included everywhereMatthew Bentham
Move some maths-related things from Utils.h to new Math.h header in utils/math. Move some routines used for Tensor shape validation to Validate.h Change-Id: I8ce89fe03ec3ae1b61d1a80c282b8b91eea0cfb3 Signed-off-by: Matthew Bentham <Matthew.Bentham@arm.com> Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/c/VisualCompute/ComputeLibrary/+/524783 Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Tested-by: Viet-Hoa Do <viet-hoa.do@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9743 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-01 16:57:51 +0000