cbfinn / maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
MIT License
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A question about the testing script #57

Open Arbiter0 opened 5 years ago

Arbiter0 commented 5 years ago

Hi, thanks for sharing the project. @cbfinn After training the model with script python main.py --datasource=miniimagenet --metatrain_iterations=60000 --meta_batch_size=4 --update_batch_size=1 --update_lr=0.01 --num_updates=5 --num_classes=5 --logdir=logs/miniimagenet1shot/ --num_filters=32 --max_pool=True, I use the script python main.py --datasource=miniimagenet --train=False --test_set=True --logdir=logs/miniimagenet1shot --meta_batch_size=1 --num_classes=5 --num_filters=32 --max_pool=True --update_batch_size=1 to test the model. But the terminal shows like the following picture. The terminal always displays this interface and no results are returned. Could you tell me what's wrong with my script? Thanks very much! 14A4CB0392A6509633CEC64DD6502A23