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generation results for the first two sequences in paddle.dataset.wmt14.test():
Les <unk> se <unk> au sujet de la largeur des sièges alors que de grosses commandes sont en jeu
-19.0196 The <unk> will be rotated about the width of the seats , while large orders are at stake . <e>
-19.1131 The <unk> will be rotated about the width of the seats , while large commands are at stake . <e>
-19.5129 The <unk> will be rotated about the width of the seats , while large commands are at play . <e>
La dispute fait rage entre les grands constructeurs aéronautiques à propos de la largeur des sièges de la classe touriste sur les vols <unk> , ouvrant la voie à une confrontation <unk> lors du salon aéronautique de Dubaï qui a lieu de mois-ci .
-28.1171 The dispute is between the large aviation manufacturers about the width of the tourist seats on the <unk> flights , paving the way for a <unk> confrontation at the Dubai aviation fair , which is a month . <e>
-28.7170 The dispute is between the large aviation manufacturers about the width of the tourist seats on the <unk> flights , paving the way for a <unk> confrontation at the Dubai aviation fair , which takes place months . <e>
-29.3415 The dispute is between the large aviation manufacturers about the width of the tourist seats on the <unk> flights , paving the way for a <unk> confrontation at the Dubai aviation fair , which takes place in month . <e>
generation results for the first two sequences in paddle.dataset.wmt14.test() by using two threads:
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I use machine translation in PaddleBook as the test examples. I only change
trainer_count
from 1 to 2 in this line: https://github.com/PaddlePaddle/book/blob/develop/08.machine_translation/train.py#L139 and then run sequence generation, but the results are different to that by using a single thread.generation results for the first two sequences in
paddle.dataset.wmt14.test()
:paddle.dataset.wmt14.test()
by using two threads:The text was updated successfully, but these errors were encountered: