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The code below will allocate some memory on GPU 0 even if the Translator is placed on another device:
import ctranslate2 translator = ctranslate2.Translator("ende_transformer", device="cuda", device_index=1)
Ideally, it should only allocate on GPU 1.
The text was updated successfully, but these errors were encountered:
Successfully merging a pull request may close this issue.
The code below will allocate some memory on GPU 0 even if the Translator is placed on another device:
Ideally, it should only allocate on GPU 1.
The text was updated successfully, but these errors were encountered: