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Hello! I've found a performance issue in /src/inputs/util.py: dataset.batch(batch_size)(line 229) should be called before dataset.map(parse_func)(line 224), which could make your program more efficient.
Besides, you need to check the function parse_func called in dataset = dataset.map(parse_func) whether to be affected or not to make the changed code work properly. For example, if parse_func 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 /src/inputs/util.py:
dataset.batch(batch_size)
(line 229) should be called beforedataset.map(parse_func)
(line 224), which could make your program more efficient.Here is the tensorflow document to support it.
Besides, you need to check the function
parse_func
called indataset = dataset.map(parse_func)
whether to be affected or not to make the changed code work properly. For example, ifparse_func
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: