Performance issues in /ctr_of_recommendation/Wide&Deep_Demo (by P3)

[DLPerf]

Hello! I've found a performance issue in /ctr_of_recommendation/Wide&Deep_Demo: batch() should be called before map(), which could make your program more efficient. Here is the tensorflow document to support it.

Detailed description is listed below:

• /wide_component.py: dataset.batch(batch_size)(here) should be called before .map(parse_csv, num_parallel_calls=5)(here).
• /wide_deep.py: dataset.batch(batch_size)(here) should be called before .map(parse_csv, num_parallel_calls=5)(here).

Besides, you need to check the function called in map()(e.g., parse_csv called in .map(parse_csv, num_parallel_calls=5)) whether to be affected or not to make the changed code work properly. For example, if parse_csv needs data with shape (x, y, z) as its input before fix, it would require data with shape (batch_size, x, y, z).

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~