Hello! I've found a performance issue in utils.py: .batch(MODEL_PARAMS['batch_size'] )(line 72) should be called before .map( parse_example_helper_csv, num_parallel_calls=8 )(line 46), which could make your program more efficient.

Here is the tensorflow document to support it.

Besides, you need to check the function parse_example_helper_csv called in .map( parse_example_helper_csv, num_parallel_calls=8 ) whether to be affected or not to make the changed code work properly. For example, if parse_example_helper_csv needs data with shape (x, y, z) as its input before fix, it would require data with shape (batch_size, x, y, z) after fix.

Looking forward to your reply. Btw, I am very glad to create a PR to fix it if you are too busy.