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Differentiable architecture search for convolutional and recurrent networks

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DARTS

This is a pytorch implementation of the DARTS.

Since the offical released code does not support the pytorch 0.4 or later, here we reimplement the DARTS with pytorch 1.0.

search model

nohup python3 train_search.py > train_search.log &

training searched model

nohup python3 train.py > train_model.log &

Note

We train the search model via a single Tesla V100 GPU for 4 days, while we train the model on cifar-10 for 2 days with two Telsa v100 GPUS.

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Differentiable architecture search for convolutional and recurrent networks

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