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Memory Problem?
See original GitHub issueHi, I clone your code and run train it on WMT English-German task, but it failed with "RuntimeError: cuda runtime error (2) : out of memory at /opt/conda/conda-bld/pytorch_1502009910772/work/torch/lib/THC/generic/THCStorage.cu:66".
I run it on a Tesla K40 which has the same memory capacity of 12GB as your Titan X, and with the default settings.
So I don`t know why this happens, do you have any idea? Thanks
Issue Analytics
- State:
- Created 6 years ago
- Reactions:7
- Comments:12 (3 by maintainers)
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A fix that I used was to decrease batch_size in the parser arguments thereby decreasing memory requirements. I have it working on a GTX 1070 with batch_size = 32.
@buptwhr I’m not sure since I haven’t tried this project. Maybe you can use another project in the following link, which I have tested on my GPU, and there is no memory error. Hope this can help you. https://github.com/DaoD/annotated-transformer