Enable a fast path for (static) qlinear for AArch64 through ACL directly. #148586
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/148586
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…tly. This enables a fast path for eager mode static quantization for AArch64 through Arm Compute Library (ACL) directly. PR #145942 addressed the high overhead in qlinear_dynamic on AArch64 (due to redundant weight pretranspositions and reductions) by enabling a path that calls ACL directly. This does the same thing but for (static) qlinear. ghstack-source-id: 05435a0 Pull Request resolved: #148586
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This enables a fast path for eager mode static/dynamic quantization for AArch64 through Arm Compute Library (ACL) directly. Context: PR #126687, #139887 enabled an optimized implementation for qlinear[_dynamic] for AArch64 through ideep → oneDNN → ACL which improved performance by ~10x compared to the previous implementation. However, the current qlinear[_dynamic] path (ideep → oneDNN → ACL) suffers from high overhead due to the API friction between the stateless oneDNN API and the stateful ACL low-precision GEMM (lowp_gemm) API - for example, ACL's lowp_gemm objects cache information like weights reduction or weights in optimized memory format which oneDNN does not allow due to its stateless nature. Hence, ACL currently runs a (redundant) sum of columns and pre-transposition (to the gemm kerne's optimal format) for each GEMM operation. This PR addresses the sub-optimalities above by introducing PackedLinearWeightsACL (as a subclasses of PackedLinearWeightsOnednn ) with an implementation of qlinear[_dynamic] that uses ACL directly. ghstack-source-id: 05435a0 Pull Request resolved: #148585 ghstack-source-id: 05435a0 Pull Request resolved: #148586
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Stack from ghstack (oldest at bottom):
This enables a fast path for eager mode static quantization for AArch64 through Arm Compute Library (ACL) directly.
PR #145942 addressed the high overhead in qlinear_dynamic on AArch64 (due to redundant weight pretranspositions and reductions) by enabling a path that calls ACL directly.
This does the same thing but for (static) qlinear.
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10