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Algorithm illustrates the design space exploration for cross-layer scheduling of dynamic networks. First, we calculate the threshold C_0. Then, according to the model m and the activation ratio „ăl., the theoretical CTC value of each layer can be calculated. In any subset which consists of at least two convolutional layers, an arbitrary layer with CTC less than C_0 is selected and fused with the previous or next layer to get the fused model m. Then the fused model is sent to the next iteration and the above operation is repeated. When either of the following two conditions is met, 1) all the convolutional layers in one subset are fused; 2) the theoretical CTCs of all layers are greater than the threshold C_0, we terminate the iteration and obtain a fusion model m. Repeat the exploration and try different fusion branches. After traversing all the search spaces, we can get a collection M. |
IEEE/ICACT20230038 Slide.10
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