MNIST Hogwild on Apple Silicon

Any help would be appreciated! Unable to run multiprocessing with mps device

Context

• Pytorch version: 2.0.0.dev20221220
• Operating System and version: macOS 13.1

Your Environment

• Installed using source? [yes/no]: no
• Are you planning to deploy it using docker container? [yes/no]: no
• Is it a CPU or GPU environment?: Trying to use GPU
• Which example are you using: MNIST Hogwild
• Link to code or data to repro [if any]: https://github.com/pytorch/examples/tree/main/mnist_hogwild

Expected Behavior

Adding argument --mps should result in training with GPU

Current Behavior

Runtimeerror: share_filename: only available on CPU

Traceback (most recent call last):
  File "/Volumes/Main/pytorch/main.py", line 87, in <module>
    model.share_memory()  # gradients are allocated lazily, so they are not shared here
  File "/Users/jeffreythomas/opt/anaconda3/envs/pytorch/lib/python3.9/site-packages/torch/nn/modules/module.py", line 2340, in share_memory
    return self._apply(lambda t: t.share_memory_())
  File "/Users/jeffreythomas/opt/anaconda3/envs/pytorch/lib/python3.9/site-packages/torch/nn/modules/module.py", line 784, in _apply
    module._apply(fn)
  File "/Users/jeffreythomas/opt/anaconda3/envs/pytorch/lib/python3.9/site-packages/torch/nn/modules/module.py", line 807, in _apply
    param_applied = fn(param)
  File "/Users/jeffreythomas/opt/anaconda3/envs/pytorch/lib/python3.9/site-packages/torch/nn/modules/module.py", line 2340, in <lambda>
    return self._apply(lambda t: t.share_memory_())
  File "/Users/jeffreythomas/opt/anaconda3/envs/pytorch/lib/python3.9/site-packages/torch/_tensor.py", line 616, in share_memory_
    self._typed_storage()._share_memory_()
  File "/Users/jeffreythomas/opt/anaconda3/envs/pytorch/lib/python3.9/site-packages/torch/storage.py", line 701, in _share_memory_
    self._untyped_storage.share_memory_()
  File "/Users/jeffreythomas/opt/anaconda3/envs/pytorch/lib/python3.9/site-packages/torch/storage.py", line 209, in share_memory_
    self._share_filename_cpu_()
RuntimeError: _share_filename_: only available on CPU

Possible Solution

Steps to Reproduce

1. Clone repo
2. Run with --mps on Apple M1 Ultra ...