Comments (2)
@AnirudhDagar Can you take a look when available?
Found that you adapted the code to PyTorch.
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Hi @gab-chen, on google colab, you can only use one GPU, that is the limit from Google. This section of the book will probably fail on colab until they add multi gpu support. You can try to test the code in an environment where you have multiple gpus, and should be just fine.
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Related Issues (20)
- module 'd2l.torch' has no attribute 'count_corpus' HOT 3
- A question about 4.7.3.3. Label Shift Correction HOT 1
- Free copy for the first 100 contributors
- Ethics?
- MLX support HOT 1
- Add type hinting to functions HOT 1
- Incorrect Use of torch.no_grad() in fit_epoch Method in d2l/torch.py::Trainer::fit_epoch HOT 2
- Not able to render :begin_tab:toc
- Errors in train_ch3 in tensorflow version softmax-regression-scratch.ipynb HOT 1
- [**emergency**] the comment block is down, please fix it right now HOT 1
- Chinese version of the code is out of date
- The discussion link can not be accessed. HOT 7
- The mlm loss computation in the function _get_batch_loss_bert seems wrong in d2l pytorch code HOT 2
- Can't build the book on MacOS when trying to add MLX implementation
- Some issues with the book
- WikiText-2 is not a zip file HOT 2
- question about ”d2l = sys.modules[__name__]“
- Website of preview version is down. HOT 5
- The content is outdated
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