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I'm attempting to run the T5 tutorial on an A6000.
I am getting the following error:
~$ python test_kernl.py
~/.local/lib/python3.9/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: libtorch_cuda_cu.so: cannot open shared object file: No such file or directory
warn(f"Failed to load image Python extension: {e}")
~/.local/lib/python3.9/site-packages/transformers/models/t5/tokenization_t5_fast.py:156: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5.
For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`.
- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding.
- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding.
- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value.
warnings.warn(
0.10650781099997175
free(): invalid pointer
Aborted (core dumped)
pip install 'git+https://github.com/ELS-RD/kernl' --extra-index-url https://download.pytorch.org/whl/nightly/cu117
# or for local dev, after git clone ...
pip install -e . --extra-index-url https://download.pytorch.org/whl/nightly/cu117
Description
I'm attempting to run the T5 tutorial on an A6000.
I am getting the following error:
The package versions are listed here:
Steps to reproduce
kernl
using:Expected Behavior
Code should execute without error. Speed-up is a plus.
Actual Behavior
Errors.
Your environment
CPU Info:
OS:
Linux psfbhdmgj 5.4.0-137-generic #154-Ubuntu SMP Thu Jan 5 17:03:22 UTC 2023 x86_64 x86_64 x86_64 GNU/Linux
Self-service
Code of Conduct
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