## Summary / Background Currently unable to set image_name when declaring sagemaker deployment, hence can not use prebuit images. The command attempted: ``` mlem declare deployment sagemaker app.mlem \ --env env.mlem \ --method predict \ --use_prebuilt True \ --instance_type ml.t2.medium \ --env.ecr_repository 763104351884.dkr.ecr.us-east-2.amazonaws.com \ --image_name pytorch-inference \ --image_tag 1.12.1-cpu-py38 ``` This returns: ` No such option: --image_name (Possible options: --image_tag, --model_name) ` When image_name is removed , but `use_prebuilt` is left intact, runnonig the command results in ``` image_name not specified ``` This blocks an ability to run prebuilt images `
Summary / Background
Currently unable to set image_name when declaring sagemaker deployment, hence can not use prebuit images. The command attempted:
This returns:
No such option: --image_name (Possible options: --image_tag, --model_name)When image_name is removed , but
use_prebuiltis left intact, runnonig the command results inThis blocks an ability to run prebuilt images
`