trw.train.sequence_adaptor¶
Module Contents¶
Classes¶
Adapt a torch.utils.data.DataLoader to a trw.train.Sequence interface |
- class trw.train.sequence_adaptor.SequenceAdaptorTorch(torch_dataloader, features=None)¶
Bases:
trw.train.sequence.Sequence,trw.train.sequence.SequenceIteratorAdapt a torch.utils.data.DataLoader to a trw.train.Sequence interface
The main purpose is to enable compatibility with the torch data loader and any existing third party code.
- __len__(self)¶
- __iter__(self)¶
- Returns
An iterator of batches
- __next__(self)¶
- Returns
The next batch of data
- subsample(self, nb_samples)¶
Sub-sample a sequence to a fixed number of samples.
The purpose is to obtain a smaller sequence, this is particularly useful for the export of augmentations, samples.
- Parameters
nb_samples – the number of samples desired in the original sequence
- Returns
a subsampled Sequence
- close(self)¶
Special method to close and clean the resources of the sequence