trw.train.sequence_max_samples¶
Module Contents¶
Classes¶
Virtual resize of the sequence. The sequence will terminate when a certain number |
- class trw.train.sequence_max_samples.SequenceMaxSamples(source_split, max_samples)¶
Bases:
trw.train.sequence.Sequence,trw.train.sequence.SequenceIterator- Virtual resize of the sequence. The sequence will terminate when a certain number
of samples produced has been reached. Restart the sequence where it was stopped.
- 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
- subsample_uids(self, uids, uids_name, new_sampler=None)¶
Sub-sample a sequence to samples with specified UIDs.
- Parameters
uids (list) – the uids. If new_sampler keeps the ordering, then the samples of the resampled sequence should follow uids ordering
uids_name (str) – the name of the UIDs
new_sampler (Sampler) – the sampler to be used for the subsampler sequence. If None, re-use the existing
- Returns
a subsampled Sequence
- __next__(self)¶
- Returns
The next batch of data
- __iter__(self)¶
- Returns
An iterator of batches
- close(self)¶
Special method to close and clean the resources of the sequence