fork dataloader __init__ instead of patching samplers #1281
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/data/1281
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Fixes #1280
Currently we patch torch.utils.data's BatchSampler and RandomSampler in order to add statefulness to them. This is way too aggressive.
Instead let's just fork the dataloader init for now and merge back into core once the time is right.
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