icywang86rui

Reading the converted pbr file is not currently supported. Can I ask what is your use case for this?

I think the easiest way of implementing this would be allowing the customer to provide their own log4j config file through the dependencies arg [here](https://github.com/aws/sagemaker-python-sdk/blob/master/src/sagemaker/model.py#L698). The file should follow a...

I agree that i's confusing that the role passed in TensorFlow estimator is not actually used in the containers with local mode. As mentioned in aws/sagemaker-python-sdk#413, we will update our...

This change to switch to TorchServe broke some workflows when the training job doesn't save the model to "/opt/ml/model/model.pth". See https://github.com/aws/sagemaker-pytorch-inference-toolkit/commit/a3a08d04a0cc4b0cf7074a7839d7e89895cd092d This change is released in the 1.6 PT container....

@athewsey Thanks for using our product and the suggestion. We will have a discussion about this feature request.

@rabowskyb Thanks for bring this to our attention. While we work on official fix i think there is a work around you can try by setting the ``estimator.sagemaker_serssion`` to ``None``...