Attention
June 2024 Status Update: Removing DataPipes and DataLoader V2
We are re-focusing the torchdata repo to be an iterative enhancement of torch.utils.data.DataLoader. We do not plan on continuing development or maintaining the [DataPipes] and [DataLoaderV2] solutions, and they will be removed from the torchdata repo. We’ll also be revisiting the DataPipes references in pytorch/pytorch. In release torchdata==0.8.0 (July 2024) they will be marked as deprecated, and in 0.9.0 (Oct 2024) they will be deleted. Existing users are advised to pin to torchdata==0.8.0 or an older version until they are able to migrate away. Subsequent releases will not include DataPipes or DataLoaderV2. Please reach out if you suggestions or comments (please use this issue for feedback)
Utility Functions¶
DataPipe Graph Visualization¶
Visualizes a DataPipe by returning a |
Common Utility Functions¶
Invokes various obj cleanup procedures such as: - Closing streams |
|
Utility function to move data to pinned memory. |
File Object and Stream Utility¶
StreamWrapper is introduced to wrap file handler generated by DataPipe operation like FileOpener. |
DataLoader¶
For documentation related to DataLoader, please refer to the
torch.utils.data documentation. Or, more specifically, the
DataLoader API section.
DataLoader v2 is currently in development. For more information please refer to DataLoader2.
Sampler¶
For documentation related to Sampler, please refer to the
torch.utils.data
documentation on Data Loading order.
The Sampler API section is here.
