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Code for DARTS: DIFFERENTIABLE ARCHITECTURE SEARCH(Support for pytorch_1.6 and distributed training)

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DARTS

Code for DARTS: DIFFERENTIABLE ARCHITECTURE SEARCH(Support for pytorch_1.6 and distributed training)

To replicate the result of this paper:

train for search

python main_search.py --unrolled --gpu-ids=0

train for searched architecture

python main.py --auxiliary --cutout --gpu-ids=0

distributed training for search (using 2 gpus)

python -m torch.distributed.launch --nproc_per_node=2 main_search.py --unrolled --gpu-ids=0,1

distributed training for searched architecture (using 2 gpus)

python -m torch.distributed.launch --nproc_per_node=2 main.py --auxiliary --cutout --gpu-ids=0,1

test

python main.py --resume --evaluate --gpu-ids=0

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Code for DARTS: DIFFERENTIABLE ARCHITECTURE SEARCH(Support for pytorch_1.6 and distributed training)

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