`_DataPipeSerializationWrapper` doesn't work with multiprocessing Queue

🐛 Describe the bug

After https://github.com/pytorch/data/pull/919 is landed, a hanging problem happens on MacOS or Windows, where spawn is used to create subprocesses by default. See: https://github.com/pytorch/data/actions/runs/3794926183
I was able to mitigate the issue by removing the SeializationWrapper from https://github.com/pytorch/data/blob/e15e1453967ce2f25f6fcd2838caadfd0e2fa811/torchdata/dataloader2/dataloader2.py#L112

And, the reason that the SerializationWrapper doesn't work is multiprocessing.Queue is attached to a DataPipe and sent to subprocesses. Even though I am able to solve my hanging problem in a different way, it's better to solve this problem directly via SerializationWrapper.

The following should be a minimum repro example

ctx = mp.get_context("spawn")
q = ctx.Queue()
dp = IterableWrapper(list(range(10)))
# Attach a Queue
dp.q = q
dl = DataLoader2(dp, reading_service=PrototypeMultiProcessingReadingService(2, "spawn"))
for d in dl:
    pass

cc: @NivekT

Versions

main

Start with torchdata/dataloader2/dataloader2.py around line 112 and the referenced SerializationWrapper in torch/utils/data/datapipes/datapipe.py. Run the provided spawn-based multiprocessing Queue reproducer on macOS or Windows and inspect the linked PR 919 changes. Done means the wrapper no longer causes the DataLoader2 process to hang when a DataPipe has an attached Queue.