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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>
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>
2021-09-16Revert "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>
2021-07-22Update GEMM assembly kernelsGeorgios Pinitas
- Introduce Fp32 kernels with internal calculations in Bfloat16 when fast_mode is enabled - Improve kernel selection heuristics Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com> Change-Id: I68a9e7e862b6fd2721b46e0d7cc791091c4ab279 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5965 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2020-11-12COMPMID-3776: Indirect GEMMGeorgios Pinitas
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com> Change-Id: I51a1b0f098bc3a8c408c50c92221e4df3061e12c Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4343 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Sang-Hoon Park <sang-hoon.park@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2020-07-07COMPMID-3324: Remove pretransposed support from NEON backendGeorgios Pinitas
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com> Change-Id: I394c6c539969940e0119cbc14174909d47e65de6 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3519 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2020-07-06COMPID-3324: Clean GEMM kernelsGeorgios Pinitas
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com> Change-Id: I170de1671e061a78740caee31fb4a1b8642c1369 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3505 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
2020-07-02COMPMID-3324: Fix per-channel quantization on N blockingGeorgios Pinitas
Direct the column to start from in the quantized code Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com> Change-Id: I8231e0b541c6b1b76becf349a1d6ddf973ade9e2 Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3488 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2020-05-10[ONCPUML-7] arm_compute support for ND parallelismJoseph Dobson
Currently 1D ranges of work are specified by the scheduler via two integers, start and end. This limit opportunities for advance parallelism and scheduling This patch expands the interfaces to allow for ND parallism. `GemmCommon::get_window_size` now returns an `NDRange` specifying the work in N-dimensions rather than with the single integer it used prior (1D) Execute now takes an `NDCoordinate` which specifies an `NDRange` with a start position for that work along with an `NDCoordinate` to specify the thread location In addition to expanding the interface to enable this functionality, we have added the capability to SGEMM when the number of threads is high this has the effective of allowing a much greater degree of parallelism where te problem dimension would previously have limited the number of threads. Change-Id: I3e1a8b7276216627bec4ff6f24ac2147552ea9fb Signed-off-by: Joseph Dobson <joseph.dobson@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/2962 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2020-01-23COMPMID-2923 Integrate arm_gemm per channel quantizationMichalis Spyrou
Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com> Change-Id: I8667e75843fdd6ac75bd8272a86a348b830da28d Reviewed-on: https://review.mlplatform.org/c/2548 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2019-10-23COMPMID-2577: Fuse bias addition and activation in gemm assembly kernelsGeorgios Pinitas
Change-Id: I7f52112d2d05b1ea3d3f3d4b19b8eafab05d6c44 Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com> Reviewed-on: https://review.mlplatform.org/c/2141 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Pablo Marquez <pablo.tello@arm.com>
2019-07-26COMPMID-2178: Update GEMM assembly code.Georgios Pinitas
Perform offset reduction and requantization within the assembly wrapper. Change-Id: I5d5b3e1f6f9ef4c71805362c57f88ff199c027a3 Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com> Reviewed-on: https://review.mlplatform.org/c/1541 Comments-Addressed: Pablo Marquez <pablo.tello@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
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