Performance issue in /dlflow/models/internal (by P3)

[DLPerf]

Hello! I've found a performance issue in /NNDenseInput.py: .batch(batch_size=config.MODEL.batch_size,drop_remainder=config.MODEL.drop_remainder)(here) should be called before .map(map_func=_parse_single_example,num_parallel_calls=parallel)(here), which could make your program more efficient.

Here is the tensorflow document to support it.

Besides, you need to check the function _parse_single_example called in .map(map_func=_parse_single_example,num_parallel_calls=parallel) whether to be affected or not to make the changed code work properly. For example, if _parse_single_example 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.

[DLPerf]

Hello, I'm looking forward to your reply~

[HCMY]

Hello, I'm looking forward to your reply~

the author is busily dating with someone, try make a PR to push him