pytorch

f6408c0d - [ATen][quant] Use expect_contiguous in quantized::linear fbgemm version (#58221)

[ATen][quant] Use expect_contiguous in quantized::linear fbgemm version (#58221) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/58221 - Use expect_contiguous to avoid Tensor refcount bumps if input tensor is already contiguous - Use Tensor::sizes()[i] in place of Tensor::size(i) which goes through the dispatcher - Use at::Dimvector in place of std::vector to avoid heap allocation Since the qnnpack version needs on device testing, I'll skip that one for now. Test Plan: CI Reviewed By: swolchok Differential Revision: D28406942 fbshipit-source-id: 3c1bdfd1c859fe71869d4daec22158be5c2719d4