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# Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2019.01 #
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#####################################################
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# Here, we utilized three techniques to search for the number of channels:
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# - channel-wise interpaltion from "Network Pruning via Transformable Architecture Search, NeurIPS 2019"
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# - channel-wise interpolation from "Network Pruning via Transformable Architecture Search, NeurIPS 2019"
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# - masking + Gumbel-Softmax from "FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions, CVPR 2020"
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# - masking + sampling from "Can Weight Sharing Outperform Random Architecture Search? An Investigation With TuNAS, CVPR 2020"
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from typing import List, Text, Any
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