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That's a good question. For small or mobile models, particularly those with depthwise search space, we have observed that the limitation on btn may constrain the final accuracy. The similar observation can be found in mobilenetv3 paper.
The constraint limit the btn in
lightweight-neural-architecture-search/tinynas/spaces/mutator/super_res_k1kx_mutator.py
Line 72 in 6bf4d69
lightweight-neural-architecture-search/tinynas/spaces/mutator/super_res_k1kx_mutator.py
Line 82 in 6bf4d69
but this
https://github.com/tinyvision/DAMO-YOLO/blob/master/damo/base_models/backbones/nas_backbones/tinynas_nano_middle.txt
seems to have broken the limit
May I ask why? thanks
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