delu#

Deep Learning Utilities for PyTorch users.

Tensor operations

`to`	Like `torch.Tensor.to`, but for collections of tensors.
`cat`	Like `torch.cat`, but for collections of tensors.
`iter_batches`	Iterate over tensor or collection of tensors by (random) batches.

Monitoring

`ProgressTracker`	Helps with early stopping and tracks the best metric value.
`Timer`	Measures time.

Submodules

See the sidebar on the left.

Deprecated items

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[DEPRECATED | Currently, no alternatives are available.] Smart wrapper for data loaders and iterables.

`collate`	[DEPRECATED \| Instead, use `torch.utils.data.dataloader.default_collate`] Almost an alias for `torch.utils.data.dataloader.default_collate`.
`concat`	[DEPRECATED \| Instead, use `delu.cat`]
`improve_reproducibility`	[DEPRECATED \| Instead, use `delu.random.seed` and manually set flags mentioned in the PyTorch docs on reproducibility] Set seeds and turn off non-deterministic algorithms.

[DEPRECATED | Instead, use model.eval() + torch.no_inference/no_grad] Context-manager & decorator for models evaluation.