Performance issues in /Project (by P3)

[DLPerf]

Hello! I've found a performance issue in /Project: 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:

• /NeuralMachineTranslation/model/test.py: parsed_dataset.batch(1)(here) should be called before dataset.map(map_func=_parse_data)(here).
• /LanguageModel/dataset/ptb_process.py: parsed_dataset.batch(2)(here) should be called before dataset.map(map_func=_parse_data)(here).
• /LanguageModel/model/test.py: parsed_dataset.batch(parameter.BATCH_SIZE)(here) should be called before dataset.map(map_func=_parse_data)(here).
• /LanguageModel/model/train.py: .batch(parameter.BATCH_SIZE)(here) should be called before dataset.map(map_func=_parse_data)(here).

Besides, you need to check the function called in map()(e.g., _parse_data called in dataset.map(map_func=_parse_data)) whether to be affected or not to make the changed code work properly. For example, if _parse_data 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~