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Update flaml_pytorch_cifar10.ipynb
training_function -> train_cifar
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@ -315,7 +315,7 @@
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" low_cost_partial_config={\"num_epochs\": 1},\n",
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" max_resource=max_num_epoch,\n",
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" min_resource=1,\n",
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" scheduler=\"asha\", # need to use tune.report to report intermediate results in training_function \n",
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" scheduler=\"asha\", # need to use tune.report to report intermediate results in train_cifar \n",
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" resources_per_trial={\"cpu\": 1, \"gpu\": gpus_per_trial},\n",
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" local_dir='logs/',\n",
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" num_samples=num_samples,\n",
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