update NAS-Bench
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		| @@ -39,10 +39,10 @@ If you are interested in the configs of each NAS-searched architecture, they are | ||||
| ### Searching on the NASNet search space | ||||
| Please use the following scripts to use GDAS to search as in the original paper: | ||||
| ``` | ||||
| CUDA_VISIBLE_DEVICES=0 bash ./scripts-search/GDAS-search-NASNet-space.sh cifar10 1 -1 | ||||
| CUDA_VISIBLE_DEVICES=0 bash ./scripts-search/NASNet-space-search-by-GDAS.sh cifar10 1 -1 | ||||
| ``` | ||||
|  | ||||
| **After searching***, if you want to re-train the searched architecture found by the above script, you can use the following script: | ||||
| **After searching**, if you want to re-train the searched architecture found by the above script, you can use the following script: | ||||
| ``` | ||||
| CUDA_VISIBLE_DEVICES=0 bash ./scripts/retrain-searched-net.sh cifar10 gdas-searched \ | ||||
| 		     output/search-cell-darts/GDAS-cifar10-BN1/checkpoint/seed-945-basic.pth 96 -1 | ||||
|   | ||||
| @@ -30,6 +30,13 @@ CUDA_VISIBLE_DEVICES=0 bash ./scripts/nas-infer-train.sh cifar100 SETN 96 -1 | ||||
| CUDA_VISIBLE_DEVICES=0,1,2,3 bash ./scripts/nas-infer-train.sh imagenet-1k SETN  256 -1 | ||||
| ``` | ||||
|  | ||||
| ### Searching on the NASNet search space | ||||
| Please use the following scripts to use SETN to search as in the original paper: | ||||
| ``` | ||||
| CUDA_VISIBLE_DEVICES=0 bash ./scripts-search/NASNet-space-search-by-SETN.sh cifar10 1 -1 | ||||
| ``` | ||||
|  | ||||
| ### Searching on the NAS-Bench-201 search space | ||||
| The searching codes of SETN on a small search space (NAS-Bench-201). | ||||
| ``` | ||||
| CUDA_VISIBLE_DEVICES=0 bash ./scripts-search/algos/SETN.sh cifar10 1 -1 | ||||
|   | ||||
| @@ -146,6 +146,10 @@ api.get_more_info(112, 'cifar10', None, False, True) | ||||
| api.get_more_info(112, 'ImageNet16-120', None, False, True) # the info of last training epoch for 112-th architecture (use 200-epoch-hyper-parameter and randomly select a trial) | ||||
| ``` | ||||
|  | ||||
| Please use the following script to show the best architectures on each dataset: | ||||
| ```show the best architecture | ||||
| python exps/NAS-Bench-201/show-best.py | ||||
| ``` | ||||
|  | ||||
|  | ||||
| ## Instruction to Re-Generate NAS-Bench-201 | ||||
|   | ||||
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