Comments (2)
thank you @awaelchli
from pytorch-lightning.
Hey @Esmail-ibraheem
This project, pytorch-lightning, is not the same as Lightning Studio. If you'd like to get help with it, I suggest to post your question in our Discord server in the future: https://discord.com/invite/MWAEvnC5fU
But I can answer your question of course. You are downloading a dataset using the function from huggingface datasets, and this will save the files in a hidden cache folder in your home folder. That's why you don't see it and that's completely normal. This would be the same even on your laptop outside of Studios!
If you'd like to explicitly control where the data is stored, simply pass the cache folder explicitly with the path where you'd like to save:
ds = load_dataset(..., cache_dir="./data")
I'll close the issue now because it's not a bug for pytorch-lightning, but I'll be happy to continue answer your questions here or on Discord.
from pytorch-lightning.
Related Issues (20)
- shortcuts for logging weights and biases norms
- Unable to load Checkpoint
- Add param_group name for BaseFinetuningCallback
- LightningCLI: --help argument given after the subcommand fails
- ModelCheckpoint Callback not working/saving unless `save_on_train_epoch_end` is enabled True which considerably slows down training
- 7x slower training speed when switching from lightning 1.0 to 2.0
- Loading a model changes pytorch random state
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- Training crash when using XLA profiler on XLA accelerator and manual optimization
- Unexpected Behavior: `Fabric.load` operates out-of-place on nested states HOT 1
- ImportError: cannot import name '_TORCHMETRICS_GREATER_EQUAL_1_0_0' from 'pytorch_lightning.utilities.imports'
- KeyError:pytorch_lightning.utilities.argparse_utils
- You really should make the access to optimizers and schedulers more comprehensible and more detailed.
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- Switching into training mode in training_step
- Questions about loading a pre-trained model using lightnining CLI for continue training
- using deepspeed in pytorch lightning, a bug occurred : RuntimeError: Function ConvolutionBackward0 returned an invalid gradient at index 1
- NCCL error: Invalid rank requested HOT 1
- Can no longer install versions 1.5.10-1.6.5
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from pytorch-lightning.