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現在のtrainはbatchごとに受け取って計算する形になっているが,毎回外側でepochのiterationを書くのが面倒.そこで,従来のtrainをtrain_batchと変更し,イテレーターを受け取って1epoch分学習するtrainメソッドを実装する.
for epoch in range(1, epochs + 1): train_loss = model.train(train_loader)
testも同じ(pytorchにあわせて,testもevalに変更するかも)
The text was updated successfully, but these errors were encountered:
ただしtrainに引数を明示的に与えられないのが問題点.
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現在のtrainはbatchごとに受け取って計算する形になっているが,毎回外側でepochのiterationを書くのが面倒.そこで,従来のtrainをtrain_batchと変更し,イテレーターを受け取って1epoch分学習するtrainメソッドを実装する.
testも同じ(pytorchにあわせて,testもevalに変更するかも)
The text was updated successfully, but these errors were encountered: