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## Environment info
- `transformers` version: 4.3.3
- Platform: Linux-5.11.2-zen1-1-zen-x86_64-with-glibc2.2.5
- Python version: 3.8.8 (also 3.9.2 but tensorflowjs is not available in 3.9.2)
- PyT…
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## Environment info
- `transformers` version: 4.3.2
- Platform: 5.10.8-200.fc33.x86_64
- Python version: 3.8.3
- PyTorch version (GPU?): 1.6.0 (GPU)
- Tensorflow version (GPU?): 2.4.1 (GPU)
- …
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## Environment info
- `transformers` version: 4.3.2
- Platform: Linux
- Python version: 3.7.3
- PyTorch version (GPU?): 1.7 (yes)
- Tensorflow version (GPU?): N/A
- Using GPU in script?: yes…
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## Environment info
- `transformers` version: 4.4.2
- Platform: macOS-10.15.7-x86_64-i386-64bit
- Python version: 3.8.6
- PyTorch version (GPU?): 1.7.1 (False)
- Tensorflow version (GPU?): 2.…
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## Environment info
- `transformers` version: 4.2.2
- Platform: Linux-4.15.0-124-generic-x86_64-with-glibc2.10
- Python version: 3.8.5
- PyTorch version (GPU?): 1.6.0 (False)
- Tensorflow ver…
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## Environment info
- `transformers` version: latest from pip install git+https://github.com/huggingface/transformers.git
- Platform: Colab
- Python version:
- PyTorch version (GPU?): 1.7
- T…
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## Environment info
- `transformers` version: 4.2.2
- Platform: Linux-4.15.0-132-generic-x86_64-with-glibc2.10
- Python version: 3.8.5
- PyTorch version (GPU?): 1.7.1 (True)
- Tensorflow version …
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## Environment info
- `transformers` version: 3.0.2
- Platform: Google Colab
- Python version: 3.6
- PyTorch version (GPU?):1.6.0+cu101
- Tensorflow version (GPU?): 2.3.0
- Using GPU i…
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The problem is that GPU memory allocated accumulates for each run. This eventually results in a `RuntimeError: CUDA out of memory` error. You can see the wandb GPU memory allocated, produced by the co…
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## Environment info
- `transformers` version: 4.3.3
- Platform: linux
- Python version: 3.7
- PyTorch version (GPU?): 1.8
- Tensorflow version (GPU?): -
- Using GPU in script?: -
- Using …