2019-02-01 03:23:55 +11:00
2019-02-01 01:27:38 +11:00
2019-02-01 02:40:20 +11:00
2019-02-01 03:23:55 +11:00
2019-02-01 02:40:20 +11:00
2019-02-01 03:23:55 +11:00
2019-02-01 03:23:55 +11:00
2019-02-01 02:40:20 +11:00
2019-02-01 03:23:55 +11:00
2019-02-01 01:27:38 +11:00
2019-02-01 01:27:38 +11:00
2019-02-01 03:23:55 +11:00

GDAS

By Xuanyi Dong and Yi Yang

University of Technology Sydney

Requirements

  • PyTorch 1.0
  • Python 3.6
conda install pytorch torchvision cuda100 -c pytorch

Algorithm

Searching CNNs

Train the searched CNN on CIFAR

bash ./scripts-cnn/train-imagenet.sh 0 GDAS_F1 52 14
bash ./scripts-cnn/train-imagenet.sh 0 GDAS_V1 50 14

Train the searched CNN on ImageNet

bash ./scripts-cnn/train-imagenet.sh 0 GDAS_F1 52 14
bash ./scripts-cnn/train-imagenet.sh 0 GDAS_V1 50 14

Train the searched RNN

bash ./scripts-rnn/train-PTB.sh 0 DARTS_V1
bash ./scripts-rnn/train-PTB.sh 0 DARTS_V2
bash ./scripts-rnn/train-PTB.sh 0 GDAS
bash ./scripts-rnn/train-WT2.sh 0 DARTS_V1
bash ./scripts-rnn/train-WT2.sh 0 DARTS_V2
bash ./scripts-rnn/train-WT2.sh 0 GDAS
Description
No description provided
Readme 12 MiB
Languages
Jupyter Notebook 84.5%
Python 14.9%
Shell 0.6%