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@@ -22,6 +22,8 @@ from utils import get_model_infos
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flop, param = get_model_infos(net, (1,3,32,32))
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```
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2. Different NAS-searched architectures are defined [here](https://github.com/D-X-Y/NAS-Projects/blob/master/lib/nas_infer_model/DXYs/genotypes.py).
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## [Network Pruning via Transformable Architecture Search](https://arxiv.org/abs/1905.09717)
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In this paper, we proposed a differentiable searching strategy for transformable architectures, i.e., searching for the depth and width of a deep neural network.
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