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The (newly launched at re:Invent) SageMaker Studio standard JupyterLab Python 3 kernel currently includes:
amazon-sagemaker-jupyter-scheduler 3.0.4 which requires aiobotocore==2.7.*
That aiobotocore enforces botocore>=1.31.16,<1.31.65
fmeval requires sagemaker = "^2.199.0" which I think depends on boto3>=1.33.3,<2.0
autogluon-multimodal 0.8.2 which requires transformers[sentencepiece]<4.32.0,>=4.31.0
fmeval pins transformers = "4.22.1"
...And so while kind of I'm able to %pip install fmeval on it, I haven't been able to find any configuration that doesn't introduce dependency conflicts somewhere.
Can we relax the constraint to allow some newer versions of transformers? Does fmeval really need that new a version of sagemaker?
The text was updated successfully, but these errors were encountered:
Thanks for bringing it up. We don't need that version of Transformers, but were forced to use it because of detoxify. We will see if there are alternative approaches.
The (newly launched at re:Invent) SageMaker Studio standard JupyterLab Python 3 kernel currently includes:
amazon-sagemaker-jupyter-scheduler
3.0.4 which requires aiobotocore==2.7.*sagemaker = "^2.199.0"
which I think depends on boto3>=1.33.3,<2.0autogluon-multimodal
0.8.2 which requires transformers[sentencepiece]<4.32.0,>=4.31.0transformers = "4.22.1"
...And so while kind of I'm able to
%pip install fmeval
on it, I haven't been able to find any configuration that doesn't introduce dependency conflicts somewhere.Can we relax the constraint to allow some newer versions of
transformers
? Does fmeval really need that new a version ofsagemaker
?The text was updated successfully, but these errors were encountered: