Set batch num to 1 for low samples cases in the dataloader #48
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dnerini
deleted the
47-allow-having-dataloaders-with-less-samples-than-the-provided-batch_size
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When creating a
DataLoaderwith aDataModulethat has less samples than the provided batch size, the__getitem__always returns anIndexError. This issues arises often when using thinning as the number of test and validation samples is already low.The simple change consists in checking whether the number of samples is too low and in that case to set
batch_numto be 1. This prevents the__getitem__from raising anIndexError.