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@SamuelLarkin suggests fuse-mounting a zip archive or a new dataloader that preprocesses the audio on-the-fly (if it doesn't slowdown training aka makes the trainer wait on preprocessing) to help circumvent the perennial inode problem for large datasets.
The text was updated successfully, but these errors were encountered:
@SamuelLarkin suggests fuse-mounting a zip archive or a new dataloader that preprocesses the audio on-the-fly (if it doesn't slowdown training aka makes the trainer wait on preprocessing) to help circumvent the perennial inode problem for large datasets.
The text was updated successfully, but these errors were encountered: