update README
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@ -35,6 +35,10 @@ bash ./scripts/base-train.sh 0 cifar-10 ResNet110
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bash ./scripts/train-nas.sh 0 cifar-10 GDAS_V1
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bash ./scripts/train-nas.sh 0 cifar-10 GDAS_V2
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bash ./scripts/train-nas.sh 0 cifar-10 SETN
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bash ./scripts/train-nas.sh 0 cifar-10 NASNet
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bash ./scripts/train-nas.sh 0 cifar-10 ENASNet
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bash ./scripts/train-nas.sh 0 cifar-10 AmoebaNet
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bash ./scripts/train-nas.sh 0 cifar-10 PNASNet
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bash ./scripts/train-nas.sh 0 cifar-100 SETN
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```
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The first argument is the GPU-ID to train your program, the second argument is the dataset name, and the last one is the model name.
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@ -80,7 +84,7 @@ If you find that this project helps your research, please consider citing these
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@inproceedings{liu2018darts,
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title = {Darts: Differentiable architecture search},
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author = {Liu, Hanxiao and Simonyan, Karen and Yang, Yiming},
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booktitle = {ICLR},
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booktitle = {International Conference on Learning Representations (ICLR)},
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year = {2018}
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}
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@inproceedings{pham2018efficient,
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@ -107,31 +111,8 @@ If you find that this project helps your research, please consider citing these
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@inproceedings{real2019regularized,
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title = {Regularized evolution for image classifier architecture search},
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author = {Real, Esteban and Aggarwal, Alok and Huang, Yanping and Le, Quoc V},
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booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
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booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
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pages = {4780--4789},
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year = {2019}
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}
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```
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```
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conda create -n PPD python=3.6 anaconda
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pip3 install paddlepaddle-gpu==1.5.1.post97
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pip3 install tb-paddle
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```
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## Active paddlepaddle environment
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```
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conda activate PPD
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bash ./scripts/base-train.sh 0 cifar-10 ResNet110
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bash ./scripts/train-nas.sh 0 cifar-10 GDAS_V1
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bash ./scripts/train-nas.sh 0 cifar-10 GDAS_V2
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bash ./scripts/train-nas.sh 0 cifar-10 SETN
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bash ./scripts/train-nas.sh 0 cifar-100 SETN
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```
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use pytorch training
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```
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#CUDA_VISIBLE_DEVICES=0 bash ./scripts/com-paddle.sh cifar10 ResNet110 -1
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CUDA_VISIBLE_DEVICES=0 bash ./scripts/com-paddle.sh cifar10
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```
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