how to use chainer.using_config to stop F.dropout in evaluate/predict process in chainer? -


f.dropout used in train, confused how use chainer.using_config in it? how works , chainer how know in training or predict?

from chainer v2, function behavior controlled config variable, according official doc,

chainer.config.train

training mode flag. if true, chainer runs in training mode. otherwise, runs in testing (evaluation) mode. default value true.

you may control config following 2 ways.

1. assign value.

chainer.config.train = false here, code runs in test mode, , dropout won't drop unit. model(x)   chainer.config.train = true

2. with using_config(key, value) notation

if use above case, might need set true , false often, chainer provides with using_config(key, value) notation ease setting.

with chainer.using_config('train', false):     # train config set false, code runs in test mode.     model(x)  # here, train config recovered original value. ...

note1: if using trainer moudule, evaluator handle these configuration automatically during validation/evaluation (see document, or source code). means train config set false , dropout runs evaluate mode when calculating validation loss.

note2: train config used switch "train" mode , "evaluate/validation". if need "predict" code, need implement separately.


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