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Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/39868 ### Summary why disable NNPACK on iOS - To stay consistency with our internal version - It's currently blocking some external users due to its lack support of x86 architecture - https://github.com/pytorch/pytorch/issues/32040 - https://discuss.pytorch.org/t/undefined-symbols-for-architecture-x86-64-for-libtorch-in-swift-unit-test/84552/6 - NNPACK uses fast convolution algorithms (FFT, winograd) to reduce the computational complexity of convolutions with large kernel size. The algorithmic speedup is limited to specific conv params which are unlikely to appear in mobile networks. - Since XNNPACK has been enabled, it performs much better than NNPACK on depthwise-separable convolutions which is the algorithm being used by most of mobile computer vision networks. ### Test Plan - CI Checks Test Plan: Imported from OSS Differential Revision: D22087365 Pulled By: xta0 fbshipit-source-id: 89a959b0736c1f8703eff10723a8fbd02357fd4a |
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