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path: root/src/core/CL/cl_kernels/common/gemm_reshaped_only_rhs_mmul.cl
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2023-12-22Fix nightly issue caused by gemm_reshaped_only_rhs_mmul kernelGunes Bayir
The issue appears when this kernel is used by convolution operators because the stride calculations consider only simple matrix multiplication. In conv2d triggered runs, Rhs does not have the same dimension as Lhs and Dst. Also, cases where Lhs and Dst are interpreted as 3d, where their X and Y dimensions (in convolution sense) are collapsed into one. Resolves: COMPMID-6764 Change-Id: If443e6eb8f7a5cca1acc58b37c598122a013e69b Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10913 Benchmark: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2022-07-13Add Gemm MMUL Reshaped Only Rhs Support for FP32/FP16Gunes Bayir
This patch introduces a GEMM routine that is optimized for Arm(R) Mali(TM)-G715 and Arm(R) Mali(TM)-G615 Resolves: COMPMID-5216 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Change-Id: I2e5d7806f5904347185bb3e250f73d73d6669dba Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7914 Reviewed-by: SiCong Li <sicong.li@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>