mmengine.dataset.pseudo_collate¶
- mmengine.dataset.pseudo_collate(data_batch)[source]¶
Convert list of data sampled from dataset into a batch of data, of which type consistent with the type of each data_itement in
data_batch
.The default behavior of dataloader is to merge a list of samples to form a mini-batch of Tensor(s). However, in MMEngine,
pseudo_collate
will not stack tensors to batch tensors, and convert int, float, ndarray to tensors.This code is referenced from: Pytorch default_collate.
- Parameters:
data_batch (Sequence) – Batch of data from dataloader.
- Returns:
Transversed Data in the same format as the data_itement of
data_batch
.- Return type:
Any