Can't Pull ECR Image in Local Mode on Local Machine

[cvrooman]

Hi There,

I'm trying to test the linear learner example notebook on my local machine usinge 'local mode'. I seem to be running into an issue during the step "Fit a LinearLearner Model with the preprocessed data".

"Error response from daemon: pull access denied for 382416733822.dkr.ecr.us-east-1.amazonaws.com/linear-learner, repository does not exist or may require 'docker login': denied: User: arn:aws:iam:::user/ is not authorized to perform: ecr:BatchGetImage on resource: arn:aws:ecr:us-east-1:382416733822:repository/linear-learner"

Does this step require a SageMaker notebook instance in the cloud?

I've given the account administrative privileges to ECR and used "aws ecr get-login --no-include-email --registry-ids 382416733822 --region us-east-1" to authenticate docker.

[austinmw]

see if passing a local session works:

from sagemaker.local import local_session
my_local_session = local_session.LocalSession()
my_local_session.config = {'local': {'local_code': True}}

sagemaker_session=my_local_session
instance_type='local' # or 'local_gpu'

[ori-n]

I'm getting the same error. I just trying passing a local session but it didn't help

[silverfoxf7]

hey @cvrooman I rant into something similar and noticed that I was using the new AWS CLI v2, which deprecated the get-login command from AWS CLI v1. Instead, I had to use: aws ecr get-login-password --region ${region} | docker login --username AWS --password-stdin ${account}.dkr.ecr.${region}.amazonaws.com

[hongshanli23]

Dear SageMaker Community,
In our attempts to provide this repository with a better level of support going forward, we’re closing issues that were opened prior to the v2 release of the SDK. This is because we believe that over time many of the issues posted were solved with the latest release or other recent changes to the repo. This will help us reallocate resources towards issues that are more likely to still be relevant today. Some of the issues experienced now can be resolved by referencing the v2 guide: https://sagemaker.readthedocs.io/en/stable/v2.html In this guide, you can find simple solutions to common notebook errors, like the renaming of parameters and classes. If you believe your issue is still ongoing and you have updated error messaging or other info, please re-open it, and we investigate the issue.
Best Regards,
AWS SageMaker Team