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Hello! I've found a performance issue in /train.py: dataset.batch(batch)(here) shoule be called before dataset.map(map_func=parse_data)(here), which could make your program more efficient.
Besides, you need to check the function 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) after fix.
Looking forward to your reply. Btw, I am very glad to create a PR to fix it if you are too busy.
The text was updated successfully, but these errors were encountered:
Hello! I've found a performance issue in /train.py:
dataset.batch(batch)
(here) shoule be called beforedataset.map(map_func=parse_data)
(here), which could make your program more efficient.Here is the tensorflow document to support it.
Besides, you need to check the function
parse_data
called indataset.map(map_func=parse_data)
whether to be affected or not to make the changed code work properly. For example, ifparse_data
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.
The text was updated successfully, but these errors were encountered: