Mac M1 pro segmentation fault on import

🐛 Describe the bug

Hello! Can not import torchvision on my mac. Get an error:
libc++abi: terminating with uncaught exception of type std::length_error: vector
as well as segmentation fault.

code:

import torch
from torch import nn
from torch.nn import functional as F
from torch.distributions.normal import Normal
from torch.distributions.kl import kl_divergence
from torchvision.utils import save_image

it also fails just with from torchvision.utils import save_image

Similar issue: https://github.com/pyg-team/pytorch_geometric/issues/4419
But not a single proposed solution works...

Versions

PyTorch version: 1.10.2
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A

OS: macOS 12.1 (arm64)
GCC version: Could not collect
Clang version: 13.1.6 (clang-1316.0.21.2.3)
CMake version: Could not collect
Libc version: N/A

Python version: 3.9.10 | packaged by conda-forge | (main, Feb 1 2022, 21:25:34) [Clang 11.1.0 ] (64-bit runtime)
Python platform: macOS-12.1-arm64-arm-64bit
Is CUDA available: False
CUDA runtime version: No CUDA
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

Versions of relevant libraries:
[pip3] numpy==1.21.5
[pip3] torch==1.10.2
[pip3] torchaudio==0.11.0
[pip3] torchvision==0.12.0
[conda] numpy 1.21.5 py39h47fb9ce_0 conda-forge
[conda] torch 1.10.2 pypi_0 pypi
[conda] torchaudio 0.11.0 pypi_0 pypi
[conda] torchvision 0.12.0 pypi_0 pypi

Start by reproducing the listed imports on macOS 12.1 arm64 with Python 3.9.10, torch 1.10.2, and torchvision 0.12.0, then compare the failure with the linked PyTorch Geometric issue. The report names no repository file or test; done requires isolating the import-time segmentation fault and confirming a fix or clear supported workaround.