`retrieve` to get lightgbm container returns pytorch inference container

[ravinkohli]

Describe the bug
I am trying to retrieve a container for the lightgbm-classification-model with version 2.1.0. However, when calling retrieve I get a docker container for the pytorch inference script.

To reproduce
The provided code need to be complete and runnable, if additional data is needed, please include them in the issue.

# Create a Sagemaker model
from sagemaker.image_uris import retrieve


#### Get the built-in xgboost container image in Sagemaker to host our model
train_model_id, train_model_version, train_scope = "lightgbm-classification-model", "2.1.0", "inference"
training_instance_type = "ml.m5.xlarge"

# Retrieve the docker image
container = retrieve(
    region=None,
    framework=None,
    model_id=train_model_id,
    model_version=train_model_version,
    image_scope=train_scope,
    instance_type=training_instance_type
)
print(container)

Output is '763104351884.dkr.ecr.eu-central-1.amazonaws.com/pytorch-inference:2.0.1-cpu-py310'

Expected behavior

I expected a docker image for lightgbm model to be returned.

Screenshots or logs
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System information
A description of your system. Please provide:

• SageMaker Python SDK version: 2.203.1
• Framework name (eg. PyTorch) or algorithm (eg. KMeans): LightGBM
• Framework version: 2.1.0 (sagemaker version, lib version 4.2.0)
• Python version: 3.9
• CPU or GPU: CPU
• Custom Docker image (Y/N): N

Additional context
Add any other context about the problem here.

[matteociccozzi-ah]

Also seeing the same issue, is this expected?