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Description
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The problem arises in chapter:
- [ x] Introduction
- Text Classification
- Transformer Anatomy
- Multilingual Named Entity Recognition
- Text Generation
- Summarization
- Question Answering
- Making Transformers Efficient in Production
- Dealing with Few to No Labels
- Training Transformers from Scratch
- Future Directions
Describe the bug
GPU is not being detected using Amazon Sagemaker Studio Lab
To Reproduce
When running the following code:
#hide
from utils import *
setup_chapter()
Output is:
No GPU was detected! This notebook can be *very* slow without a GPU π’
Using transformers v4.16.2
Using datasets v1.16.1
Additionally, I checked if the runtime has gpu in terminal with nvcc --version:
(book) studio-lab-user@default:~/notebooks$ nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2021 NVIDIA Corporation
Built on Sun_Feb_14_21:12:58_PST_2021
Cuda compilation tools, release 11.2, V11.2.152
Build cuda_11.2.r11.2/compiler.29618528_0
I would expect that when running torch.cuda.is_available() in notebook the result would be True
Please let me know if you need any more information from me. Also, thank you in advance.
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