Flyte enables production-grade orchestration for machine learning workflows and data processing created to accelerate local workflows to production.

Flyte

<https://github.com/flyteorg/flyte-sdk/pull/240|#240 Add debuggable support to tasks and plugins>
Pull request opened by <https://github.com/pingsutw|pingsutw>
## Summary

• Adds `debuggable` parameter to `TaskTemplate` with default value `False`
• Updates task serialization to include the `debuggable` field in proto conversion
• Enables `debuggable=True` by default for distributed compute plugins (Ray, Dask, PyTorch, Spark)
• Updates examples to demonstrate usage of the `debuggable` parameter
<https://github.com/flyteorg/flyte-sdk|flyteorg/flyte-sdk>

<https://github.com/flyteorg/flyte-sdk/pull/240|#240 Add debuggable support to tasks and plugins>
Pull request ready for review by <https://github.com/pingsutw|pingsutw>
<https://github.com/flyteorg/flyte-sdk|flyteorg/flyte-sdk>

<https://github.com/flyteorg/flyte-sdk/pull/240|#240 Add debuggable support to tasks and plugins>
Pull request merged by <https://github.com/pingsutw|pingsutw>
<https://github.com/flyteorg/flyte-sdk|flyteorg/flyte-sdk>