when configuring

EcsUserCodeLauncher

, is it possible to specify the CPU architecture for the run?

The documentation does not explicitly mention the ability to specify the CPU architecture for runs when configuring the

EcsUserCodeLauncher

. However, it does provide information on how to customize the default resources for Dagster runs, including CPU and memory, as well as how to pass additional arguments to the

run_task

API call using

run_task_kwargs

. If you need to specify the CPU architecture, you might consider using the

run_task_kwargs

configuration option to pass any additional parameters that the AWS ECS

run_task

API supports, which could include CPU architecture if the ECS API supports it. Here's a general example from the documentation on how to use `run_task_kwargs`:

yaml run_launcher:   module: "dagster_aws.ecs"   class: "EcsRunLauncher"   config:     run_task_kwargs:       # Additional key-value pairs to pass to the run_task API call

You would need to refer to the [AWS ECS

run_task

API documentation](https://docs.aws.amazon.com/AmazonECS/latest/APIReference/API_RunTask.html) to determine the exact key-value pairs that are required to specify the CPU architecture. Please note that the

EcsUserCodeLauncher

is not directly mentioned in the documentation provided, so if you are referring to a specific configuration or class, you may need to consult the most up-to-date documentation or reach out to the Dagster community for further assistance.