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@@ -31,6 +31,7 @@ python main.py --help
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Other parameters including `stages, groups, condense factor, and growth rate` are in `experiment.py`.
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## Notes
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- Training for 300 epochs with the default settings reach testing accuracy 93.389% (paper report is 96.24%). There might be some details I didn't notice, feel free to point them out.
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- All the default parameters settings follow the paper/official pytorch implementation.
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- Current implmentations of standard group convolution and learned group convolution are very inefficient (a bunch of reshape, transpose and concat), looking for help to build much more efficient graph.
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- Evaluation phase (index select) has not been implemented yet, looking for potential help as well :D.

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