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Performance issue in libs/networks/efficientnet/ (by P3) #138

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DLPerf opened this issue Aug 30, 2021 · 1 comment
Open

Performance issue in libs/networks/efficientnet/ (by P3) #138

DLPerf opened this issue Aug 30, 2021 · 1 comment

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@DLPerf
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DLPerf commented Aug 30, 2021

Hello! I've found a performance issue in utils.py/: dataset.batch(self.batch_size,drop_remainder=batch_drop_remainder)(here) should be called before dataset.map(_parse_function)(here), which could make your program more efficient.

Here is the tensorflow document to support it.

Besides, you need to check the function _parse_function called in dataset.map(_parse_function) whether to be affected or not to make the changed code work properly. For example, if _parse_function 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
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DLPerf commented Nov 4, 2021

Hello, I'm looking forward to your reply~

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