How should the Specialist package the Docker container so that Amazon SageMaker can launch the training correctly?
Modify the bash_profile file in the container and add a bash command to start the training program
Use CMD config in the Dockerfile to add the training program as a CMD of the image
Configure the training program as an ENTRYPOINT named train
Copy the training program to directory /opt/ml/train
Explanations:
Modifying thebash_profilefile in the container does not ensure that Amazon SageMaker can directly start the training program. SageMaker requires a specific command structure for launching training jobs, and simply adding a command tobash_profilewill not facilitate this.
Using CMD in the Dockerfile can specify the default command to run when the container starts, but it is not the best practice for SageMaker. SageMaker expects a specific entry point defined in the ENTRYPOINT rather than relying on CMD, which could lead to unexpected behavior if overridden.
Configuring the training program as an ENTRYPOINT namedtrainallows Amazon SageMaker to correctly identify and launch the training process. SageMaker will look for the ENTRYPOINT to execute when starting the training job, making this the appropriate method for packaging the Docker container.
While copying the training program to/opt/ml/trainis a requirement for SageMaker to find the training script, it alone does not ensure the training process starts correctly. The container must also define how to execute the training script, which is done through the ENTRYPOINT, not just by placing the script in a specific directory.
I sort that the answer is:
Configure the training program as an ENTRYPOINT named train