Can we use a dataset wrapper to implement this function?

Can we use a dataset wrapper to implement this function?

@mzr1996 Probably not. Repeated Augmentation requires the repeated samples co-exist in the same batch while the Dataset class is epoch agnostic. In this way, we have to use un-shuffled data for training or implement the shuffle logic in the wrapper and use the same shuffled sequence for all epochs.

Codecov Report

Merging #588 (36dc51b) into master (894a82e) will increase coverage by 1.22%.
The diff coverage is 80.82%.

@@            Coverage Diff             @@
##           master     #588      +/-   ##
==========================================
+ Coverage   80.11%   81.33%   +1.22%     
==========================================
  Files         113      116       +3     
  Lines        6526     6720     +194     
  Branches     1120     1156      +36     
==========================================
+ Hits         5228     5466     +238     
+ Misses       1153     1103      -50     
- Partials      145      151       +6     

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