Comments (2)
Yeah, unfortunately as TorchData is not official release yet, you have to use PyTorch nightly with TorchData. The StreamWrapper
didn't get into PT 1.10 release.
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@ejguan got it, thanks!
pip install --pre torch torchvision torchtext torchaudio -f https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html --upgrade
solved that for me
from data.
Related Issues (20)
- Iterating a data pipe, created with random split, ends in error as the code tries to iterate past the data pipe lenght
- `v2.1.2+cu118` and `v2.1.1+cu118` run into torchdata `ImportError: libssl.so.3: cannot open shared object file: No such file or directory`, that `v2.1.0+cu118` doesn't have an issue with HOT 1
- PyTorch 2.2: import torchdata fails on ubuntu-20.04 github runners HOT 3
- Dataloader is slow with iterdatapipes and shuffle that has large in-memory fields (because traverse_dps is slow) HOT 3
- DataLoader2 with multiprocess raise exception: Can not request next item while we are still waiting response for previous request HOT 1
- Move to removesuffix string method after python 3.8 support is dropped
- torchdata not compatible with torch 2.3.0 HOT 3
- [StatefulDataLoader] macOS tests are too slow
- MacOS state_dict tests in CI are failing during shutdown HOT 2
- StatefulDataLoader stores worker state twice if the IterableDataset is also an Iterator
- GDriveReaderDataPipe complains "using a sharing/viewing link instead of a download link"
- iter(dataset) is called twice for certain cases of state restore of IterableDataset HOT 3
- State_dict on dataset seems to be called more often than expected HOT 2
- Make DistributedSampler stateful HOT 4
- Enable Append Mode in SaverIterDataPipe HOT 1
- Returning tensor instead of dict for state_dict causes failure HOT 2
- Importing `torchdata.stateful_dataloader` hides `torch` RandomSampler and BatchSampler HOT 8
- best practice for `snapshot_every_n_steps` HOT 1
- what's the exact plan for torchdata now? HOT 1
- early stop worker got Exception Error HOT 1
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