Rod Cordova

Should this issue be closed now due to https://github.com/aws/deep-learning-containers/blob/437044b4a0ddd69e81f4945fda4a8ce22ff80ae6/tensorflow/inference/docker/2.9/py3/Dockerfile.graviton.cpu#L28 Looks like AWS team published arm compatible tensorflow_model_server.

@eitansela sure, https://github.com/aws/sagemaker-python-sdk/blob/9f400bd0f76a6c95807382314e4ad5074c4d1b28/src/sagemaker/local/data.py#L60

Also experiencing this issue and had to roll our own image to workaround. Seems like a rather simple change to implement. Is there a process to build awareness to github...

Thank you, I created https://github.com/aws/sagemaker-python-sdk/issues/3626 and will attempt to contact you directly via other means.

Does anyone know what changed to cause such a measurable change in compression ratio? I just tested 1.1.2.6 on one of my datasets and saw an immediate 20% savings.