Release v0.0.21 · Yura52/delu

This is a relatively big release after v0.0.18.

Breaking changes

delu.iter_batches: now, shuffle is a keyword-only argument
delu.nn.Lambda
- now, this module accepts only the functions from the torch module or methods of torch.Tensor
- now, the passed callable is not accessible as a public attribute
delu.random.seed: the algorithm computing the library- and device-specific seeds changed, so the result can change compared to the previous versions
In the following functions, the first arguments are now positional-only:
- delu.to
- delu.cat
- delu.iter_batches
- delu.Timer.format
- delu.data.Enumerate
- delu.nn.Lambda
- delu.random.seed
- delu.random.set_state

Added delu.tools -- a new home for EarlyStopping, Timer and other general tools.
Added delu.nn.NLinear -- a module representing N linear layers that are applied to N different inputs:
(*B, *N, D1) -> (*B, *N, D2), where *B are the batch dimensions.

Added delu.nn.named_sequential -- a shortcut for creating torch.nn.Sequential with named modules without OrderedDict:

sequential = delu.nn.named_sequential(
    ('linear1', nn.Linear(10, 20)),
    ('activation', nn.ReLU()),
    ('linear2', nn.Linear(20, 1))
)

delu.nn.Lambda: now, the constructor accepts keyword arguments for the callable:
```
m = delu.nn.Lambda(torch.squeeze, dim=1)
```
delu.random.seed
- the algorithm computing random seeds for all libraries was improved
- now, None is allowed as base_seed; in this case, an unpredictable seed generated by OS will be used and returned:
```
truly_random_seed = delu.random.seed(None)
```
delu.random.set_state: now, omitting the 'torch.cuda' is allowed to avoid setting the states of CUDA RNGs

delu.data was renamed to delu.utils.data. The old name is now a deprecated alias.
delu.Timer and delu.EarlyStopping were moved to the new delu.tools submodule. The old names are now deprecated aliases.