🐛 Describe the bug

>>> import os
>>> import platform
>>> import torch
>>> 
>>> torch.__version__
'2.2.0.dev20231130'
>>> platform.machine()
'aarch64'
>>> 
>>> a = torch.rand(2, 3)
>>> b = torch.linalg.qr(a)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
RuntimeError: Calling torch.geqrf on a CPU tensor requires compiling PyTorch with LAPACK. Please use PyTorch built with LAPACK support. 

whl link:
https://download.pytorch.org/whl/nightly/cpu/torch-2.2.0.dev20231130-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Versions

PyTorch version: 2.2.0.dev20231130
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A

OS: Ubuntu 18.04.3 LTS (aarch64)
GCC version: (Ubuntu/Linaro 7.4.0-1ubuntu1~18.04.1) 7.4.0
Clang version: Could not collect
CMake version: version 3.10.2
Libc version: glibc-2.27

Python version: 3.8.18 (default, Sep 11 2023, 13:19:25) [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-4.15.0-70-generic-aarch64-with-glibc2.26
Is CUDA available: False
CUDA runtime version: No CUDA
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

CPU:
Architecture: aarch64
Byte Order: Little Endian
CPU(s): 8
On-line CPU(s) list: 0-7
Thread(s) per core: 1
Core(s) per socket: 8
Socket(s): 1
NUMA node(s): 1
Vendor ID: 0x48
Model: 0
Stepping: 0x1
BogoMIPS: 200.00
L1d cache: 64K
L1i cache: 64K
L2 cache: 512K
L3 cache: 32768K
NUMA node0 CPU(s): 0-7
Flags: fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm jscvt fcma dcpop asimddp

Versions of relevant libraries:
[pip3] numpy==1.23.4
[pip3] torch==2.2.0.dev20231130
[conda] numpy 1.23.4 pypi_0 pypi
[conda] torch 2.2.0.dev20231130 pypi_0 pypi

cc @seemethere @malfet @osalpekar @atalman @snadampal